- Abs - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Abs elementwise function
- Abs() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Abs
-
- Abs(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Abs
-
- Abs(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Abs
-
- Abs(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Abs
-
- Abs(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Abs
-
- abs(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Abs funciton
- abs(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Abs function
- abs(IComplexNumber) - Static method in class org.nd4j.linalg.util.ComplexUtil
-
Return the absolute value of the given complex number
- absGreaterThan(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
-
- absGreaterThanOrEqual(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
-
- absLessThan(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
-
- absLessThanOrEqual(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
-
- AbstractDataSetNormalizer<S extends NormalizerStats> - Class in org.nd4j.linalg.dataset.api.preprocessor
-
Abstract base class for normalizers
that act upon
DataSet instances
or iterators
- AbstractDataSetNormalizer(NormalizerStrategy<S>) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer
-
- AbstractMultiDataSetNormalizer<S extends NormalizerStats> - Class in org.nd4j.linalg.dataset.api.preprocessor
-
Abstract base class for normalizers that act upon
MultiDataSet instances or iterators
- AbstractMultiDataSetNormalizer() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer
-
- AbstractMultiDataSetNormalizer(NormalizerStrategy<S>) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer
-
- AbstractNormalizer - Class in org.nd4j.linalg.dataset.api.preprocessor
-
Abstract base class for normalizers for both DataSet and MultiDataSet processing
- AbstractNormalizer() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.AbstractNormalizer
-
- AbstractStorage<T> - Interface in org.nd4j.linalg.compression
-
This interface describes basic Key-Value storage, where Key is any object, and Value is INDArray located "somewhere else"
- AbsValueGreaterOrEqualsThan - Class in org.nd4j.linalg.indexing.conditions
-
Boolean condition on absolute value: abs(x) >= value
- AbsValueGreaterOrEqualsThan() - Constructor for class org.nd4j.linalg.indexing.conditions.AbsValueGreaterOrEqualsThan
-
Special constructor for pairwise boolean operations.
- AbsValueGreaterOrEqualsThan(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.AbsValueGreaterOrEqualsThan
-
- AbsValueGreaterThan - Class in org.nd4j.linalg.indexing.conditions
-
Boolean condition on absolute value: abs(x) > value
- AbsValueGreaterThan() - Constructor for class org.nd4j.linalg.indexing.conditions.AbsValueGreaterThan
-
Special constructor for pairwise boolean operations.
- AbsValueGreaterThan(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.AbsValueGreaterThan
-
- AbsValueLessOrEqualsThan - Class in org.nd4j.linalg.indexing.conditions
-
Boolean condition on absolute value: abs(x) <= value
- AbsValueLessOrEqualsThan() - Constructor for class org.nd4j.linalg.indexing.conditions.AbsValueLessOrEqualsThan
-
Special constructor for pairwise boolean operations.
- AbsValueLessOrEqualsThan(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.AbsValueLessOrEqualsThan
-
- AbsValueLessThan - Class in org.nd4j.linalg.indexing.conditions
-
Boolean condition on absolute value: abs(x) < value
- AbsValueLessThan() - Constructor for class org.nd4j.linalg.indexing.conditions.AbsValueLessThan
-
Special constructor for pairwise boolean operations.
- AbsValueLessThan(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.AbsValueLessThan
-
- accum - Variable in class org.nd4j.linalg.api.ops.TadCollapseAccumulation
-
- accumulate(Collection<INDArray>) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method sums given arrays and stores them to a new target array
- accumulate(INDArray...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method sums given arrays and stores them to a new array
- accumulate(INDArray, Collection<INDArray>) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method sums given arrays and stores them to a given target array
- accumulate(INDArray, INDArray[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method sums given arrays and stores them to a given target array
- accumulate(INDArray, INDArray...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
This method sums given arrays to target
- Accumulation - Interface in org.nd4j.linalg.api.ops
-
An accumulation is an op that given:
x -> the origin ndarray
y -> the pairwise ndarray
n -> the number of times to accumulate
Of note here in the extra arguments.
- ACos - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Log elementwise function
- ACos() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ACos
-
- ACos(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ACos
-
- ACos(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ACos
-
- ACos(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ACos
-
- ACos(INDArray, INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ACos
-
- acos(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- acos(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- acos(IComplexNumber) - Static method in class org.nd4j.linalg.util.ComplexUtil
-
Return the sin value of the given complex number
- ACosh - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Log elementwise function
- ACosh() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ACosh
-
- ACosh(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ACosh
-
- ACosh(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ACosh
-
- ACosh(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ACosh
-
- ACosh(INDArray, INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ACosh
-
- Activation - Enum in org.nd4j.linalg.activations
-
This enum is the factory for the activation function.
- ActivationCube - Class in org.nd4j.linalg.activations.impl
-
f(x) = x^3
- ActivationCube() - Constructor for class org.nd4j.linalg.activations.impl.ActivationCube
-
- ActivationELU - Class in org.nd4j.linalg.activations.impl
-
f(x) = alpha * (exp(x) - 1.0); x < 0
= x ; x>= 0
alpha defaults to 1, if not specified
- ActivationELU() - Constructor for class org.nd4j.linalg.activations.impl.ActivationELU
-
- ActivationELU(double) - Constructor for class org.nd4j.linalg.activations.impl.ActivationELU
-
- ActivationHardSigmoid - Class in org.nd4j.linalg.activations.impl
-
f(x) = min(1, max(0, 0.2*x + 0.5))
- ActivationHardSigmoid() - Constructor for class org.nd4j.linalg.activations.impl.ActivationHardSigmoid
-
- ActivationHardTanH - Class in org.nd4j.linalg.activations.impl
-
⎧ 1, if x > 1
f(x) = ⎨ -1, if x < -1
⎩ x, otherwise
- ActivationHardTanH() - Constructor for class org.nd4j.linalg.activations.impl.ActivationHardTanH
-
- ActivationIdentity - Class in org.nd4j.linalg.activations.impl
-
f(x) = x
- ActivationIdentity() - Constructor for class org.nd4j.linalg.activations.impl.ActivationIdentity
-
- ActivationLReLU - Class in org.nd4j.linalg.activations.impl
-
Leaky RELU
f(x) = max(0, x) + alpha * min(0, x)
alpha defaults to 0.01
- ActivationLReLU() - Constructor for class org.nd4j.linalg.activations.impl.ActivationLReLU
-
- ActivationLReLU(double) - Constructor for class org.nd4j.linalg.activations.impl.ActivationLReLU
-
- ActivationRationalTanh - Class in org.nd4j.linalg.activations.impl
-
Rational tanh approximation
From https://arxiv.org/pdf/1508.01292v3
f(x) = 1.7159 * tanh(2x/3)
where tanh is approximated as follows,
tanh(y) ~ sgn(y) * { 1 - 1/(1+|y|+y^2+1.41645*y^4)}
Underlying implementation is in native code
- ActivationRationalTanh() - Constructor for class org.nd4j.linalg.activations.impl.ActivationRationalTanh
-
- ActivationRectifiedTanh - Class in org.nd4j.linalg.activations.impl
-
Rectified tanh
Essentially max(0, tanh(x))
Underlying implementation is in native code
- ActivationRectifiedTanh() - Constructor for class org.nd4j.linalg.activations.impl.ActivationRectifiedTanh
-
- ActivationReLU - Class in org.nd4j.linalg.activations.impl
-
f(x) = max(0, x)
- ActivationReLU() - Constructor for class org.nd4j.linalg.activations.impl.ActivationReLU
-
- ActivationRReLU - Class in org.nd4j.linalg.activations.impl
-
- ActivationRReLU() - Constructor for class org.nd4j.linalg.activations.impl.ActivationRReLU
-
- ActivationRReLU(double, double) - Constructor for class org.nd4j.linalg.activations.impl.ActivationRReLU
-
- ActivationSELU - Class in org.nd4j.linalg.activations.impl
-
https://arxiv.org/pdf/1706.02515.pdf
- ActivationSELU() - Constructor for class org.nd4j.linalg.activations.impl.ActivationSELU
-
- ActivationSigmoid - Class in org.nd4j.linalg.activations.impl
-
f(x) = 1 / (1 + exp(-x))
- ActivationSigmoid() - Constructor for class org.nd4j.linalg.activations.impl.ActivationSigmoid
-
- ActivationSoftmax - Class in org.nd4j.linalg.activations.impl
-
f_i(x) = exp(x_i - shift) / sum_j exp(x_j - shift)
where shift = max_i(x_i)
- ActivationSoftmax() - Constructor for class org.nd4j.linalg.activations.impl.ActivationSoftmax
-
- ActivationSoftPlus - Class in org.nd4j.linalg.activations.impl
-
f(x) = log(1+e^x)
- ActivationSoftPlus() - Constructor for class org.nd4j.linalg.activations.impl.ActivationSoftPlus
-
- ActivationSoftSign - Class in org.nd4j.linalg.activations.impl
-
f_i(x) = x_i / (1+|x_i|)
- ActivationSoftSign() - Constructor for class org.nd4j.linalg.activations.impl.ActivationSoftSign
-
- ActivationTanH - Class in org.nd4j.linalg.activations.impl
-
f(x) = (exp(x) - exp(-x)) / (exp(x) + exp(-x))
- ActivationTanH() - Constructor for class org.nd4j.linalg.activations.impl.ActivationTanH
-
- AdaDelta - Class in org.nd4j.linalg.learning.config
-
http://www.matthewzeiler.com/pubs/googleTR2012/googleTR2012.pdf
https://arxiv.org/pdf/1212.5701v1.pdf
- AdaDelta() - Constructor for class org.nd4j.linalg.learning.config.AdaDelta
-
- AdaDelta.Builder - Class in org.nd4j.linalg.learning.config
-
- AdaDeltaUpdater - Class in org.nd4j.linalg.learning
-
http://www.matthewzeiler.com/pubs/googleTR2012/googleTR2012.pdf
https://arxiv.org/pdf/1212.5701v1.pdf
- AdaDeltaUpdater(AdaDelta) - Constructor for class org.nd4j.linalg.learning.AdaDeltaUpdater
-
- AdaGrad - Class in org.nd4j.linalg.learning.config
-
Vectorized Learning Rate used per Connection Weight
Adapted from: http://xcorr.net/2014/01/23/adagrad-eliminating-learning-rates-in-stochastic-gradient-descent/
See also http://cs231n.github.io/neural-networks-3/#ada
- AdaGrad() - Constructor for class org.nd4j.linalg.learning.config.AdaGrad
-
- AdaGrad - Class in org.nd4j.linalg.learning.legacy
-
Legacy AdaGrad implementation for use in NLP etc applications
- AdaGrad(int, int, double) - Constructor for class org.nd4j.linalg.learning.legacy.AdaGrad
-
- AdaGrad(int, int) - Constructor for class org.nd4j.linalg.learning.legacy.AdaGrad
-
- AdaGrad(int[], double) - Constructor for class org.nd4j.linalg.learning.legacy.AdaGrad
-
- AdaGrad(double) - Constructor for class org.nd4j.linalg.learning.legacy.AdaGrad
-
- AdaGrad(double, double) - Constructor for class org.nd4j.linalg.learning.legacy.AdaGrad
-
- AdaGrad.Builder - Class in org.nd4j.linalg.learning.config
-
- AdaGradUpdater - Class in org.nd4j.linalg.learning
-
Vectorized Learning Rate used per Connection Weight
Adapted from: http://xcorr.net/2014/01/23/adagrad-eliminating-learning-rates-in-stochastic-gradient-descent/
See also http://cs231n.github.io/neural-networks-3/#ada
- AdaGradUpdater(AdaGrad) - Constructor for class org.nd4j.linalg.learning.AdaGradUpdater
-
- Adam - Class in org.nd4j.linalg.learning.config
-
The Adam updater.
- Adam() - Constructor for class org.nd4j.linalg.learning.config.Adam
-
- Adam(double, double, double, double) - Constructor for class org.nd4j.linalg.learning.config.Adam
-
- Adam.Builder - Class in org.nd4j.linalg.learning.config
-
- AdaMax - Class in org.nd4j.linalg.learning.config
-
The AdaMax updater, a variant of Adam.
- AdaMax() - Constructor for class org.nd4j.linalg.learning.config.AdaMax
-
- AdaMax.Builder - Class in org.nd4j.linalg.learning.config
-
- AdaMaxUpdater - Class in org.nd4j.linalg.learning
-
The AdaMax updater, a variant of Adam.
- AdaMaxUpdater(AdaMax) - Constructor for class org.nd4j.linalg.learning.AdaMaxUpdater
-
- AdamUpdater - Class in org.nd4j.linalg.learning
-
The Adam updater.
- AdamUpdater(Adam) - Constructor for class org.nd4j.linalg.learning.AdamUpdater
-
- add(Number, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- add(Number) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- add(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
copy addition of two matrices
- add(INDArray, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
copy addition of two matrices
- add(IComplexNumber, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- add(IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- add(IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- add(IComplexNumber, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- add(IComplexNumber) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- add(Number, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- add(Number) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- add(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
copy addition of two matrices
- add(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
copy addition of two matrices
- add(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- add(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
copy addition of two matrices
- add(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
copy addition of two matrices
- add(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- add(IComplexNumber) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- add(IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- add(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Scalar addition (cloning)
- add(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- add(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Element-wise copy addition of two NDArrays
- add(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Element-wise copy addition of two NDArrays
- add(IComplexNumber) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- add(IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- add(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.stats.DistributionStats.Builder
-
Add rows of data to the statistics
- add(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.stats.MinMaxStats.Builder
-
Add rows of data to the statistics
- add(INDArray, INDArray) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.stats.NormalizerStats.Builder
-
Add rows of data to the statistics
- addColumnVector(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
In place addition of a column vector
- addColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
In place addition of a column vector
- addColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
In place addition of a column vector
- addColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Addition of a column vector (copy)
- addFeatures(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.stats.DistributionStats.Builder
-
Add the features of a DataSet to the statistics
- addFeatures(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.stats.MinMaxStats.Builder
-
Add the features of a DataSet to the statistics
- addFeatures(DataSet) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.stats.NormalizerStats.Builder
-
- addFeatureVector(INDArray) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- addFeatureVector(INDArray, int) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- addFeatureVector(INDArray) - Method in class org.nd4j.linalg.dataset.DataSet
-
Adds a feature for each example on to the current feature vector
- addFeatureVector(INDArray, int) - Method in class org.nd4j.linalg.dataset.DataSet
-
The feature to add, and the example/row number
- addi(Number, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- addi(Number) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- addi(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
in place addition of two matrices
- addi(INDArray, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
in place addition of two matrices
- addi(IComplexNumber, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- addi(IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- addi(IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- addi(IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- addi(IComplexNumber, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- addi(IComplexNumber) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- addi(Number, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- addi(Number) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- addi(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
in place addition of two matrices
- addi(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
in place addition of two matrices
- addi(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- addi(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
in place addition of two matrices
- addi(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
in place addition of two matrices
- addi(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- addi(IComplexNumber) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- addi(IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- addi(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
In place scalar addition
- addi(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
In place addition
- addi(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
in place (element wise) addition of two NDArrays
- addi(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
in place (element wise) addition of two NDArrays
- addi(IComplexNumber) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- addi(IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- addiColumnVector(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
In place addition of a column vector
- addiColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
In place addition of a column vector
- addiColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
In place addition of a column vector
- addiColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
In place addition of a column vector
- addiRowVector(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
In place addition of a column vector
- addiRowVector(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
In place addition of a column vector
- addiRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
In place addition of a column vector
- addiRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
In place addition of a row vector
- addLabels(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.stats.DistributionStats.Builder
-
Add the labels of a DataSet to the statistics
- addLabels(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.stats.MinMaxStats.Builder
-
Add the labels of a DataSet to the statistics
- addLabels(DataSet) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.stats.NormalizerStats.Builder
-
Add the labels of a DataSet to the statistics
- addListener(OpProfiler.OpProfilerListener) - Method in class org.nd4j.linalg.profiler.OpProfiler
-
dd the listener to the profiler
- AddOp - Class in org.nd4j.linalg.api.ops.impl.transforms.arithmetic
-
Addition operation
- AddOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.AddOp
-
- AddOp(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.AddOp
-
- AddOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.AddOp
-
- AddOp(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.AddOp
-
- AddOp(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.AddOp
-
- AddOp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.AddOp
-
- addRow(DataSet, int) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- addRow(DataSet, int) - Method in class org.nd4j.linalg.dataset.DataSet
-
- addRowVector(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
In place addition of a column vector
- addRowVector(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
In place addition of a column vector
- addRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
In place addition of a column vector
- addRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Addition of a row vector (copy)
- addStrategy(NormalizerSerializerStrategy) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerSerializer
-
Add a normalizer serializer strategy
- addTime(long) - Method in class org.nd4j.linalg.profiler.data.primitives.TimeSet
-
- adjustIndices(int[], INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.Indices
-
Prunes indices of greater length than the shape
and fills in missing indices if there are any
- adjustMasks(INDArray, INDArray, int, double) - Method in class org.nd4j.linalg.dataset.api.preprocessor.classimbalance.BaseUnderSamplingPreProcessor
-
- AFFINITY_MANAGER - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- AffinityManager - Interface in org.nd4j.linalg.api.concurrency
-
- affinityManager - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- AffinityManager.Location - Enum in org.nd4j.linalg.api.concurrency
-
- affinityManagerClazz - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- Aggregate - Interface in org.nd4j.linalg.api.ops.aggregates
-
Aggregates are ops that work with custom operands,
that are not limited to traditional X, Y and Z constraints.
- aggregate(Aggregate) - Method in interface org.nd4j.linalg.api.ops.executioner.GridExecutioner
-
This method enqueues aggregate op for future invocation
- aggregate(Aggregate, long) - Method in interface org.nd4j.linalg.api.ops.executioner.GridExecutioner
-
This method enqueues aggregate op for future invocation.
- AggregateAxpy - Class in org.nd4j.linalg.api.ops.aggregates.impl
-
This op describes Axpy call
that'll happen soon(TM) in batch mode
- AggregateAxpy(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.aggregates.impl.AggregateAxpy
-
- AggregateCBOW - Class in org.nd4j.linalg.api.ops.aggregates.impl
-
- AggregateCBOW(INDArray, INDArray, INDArray, INDArray, INDArray, int, int[], int[], int[], int, int, int, double, long, int, int, boolean, INDArray) - Constructor for class org.nd4j.linalg.api.ops.aggregates.impl.AggregateCBOW
-
Optional constructor for ParagraphVectors PV-DM implementation
- AggregateCBOW(INDArray, INDArray, INDArray, INDArray, INDArray, int, int[], int[], int[], int, int, int, double, long, int) - Constructor for class org.nd4j.linalg.api.ops.aggregates.impl.AggregateCBOW
-
Default constructor for CBOW implementation wrapper
- AggregateDot - Class in org.nd4j.linalg.api.ops.aggregates.impl
-
This op describes Dot call that'll happen soon(TM) in batch mode
- AggregateDot(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.aggregates.impl.AggregateDot
-
- AggregateGEMM - Class in org.nd4j.linalg.api.ops.aggregates.impl
-
PLEASE NOTE: This op is available for CPU only, and should NOT be ever called manually, unless you know why you're using it
- AggregateGEMM() - Constructor for class org.nd4j.linalg.api.ops.aggregates.impl.AggregateGEMM
-
- AggregateGEMM(int, int, int, int, int, int, double, INDArray, int, INDArray, int, double, INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.aggregates.impl.AggregateGEMM
-
- AggregateSkipGram - Class in org.nd4j.linalg.api.ops.aggregates.impl
-
This aggregate encapsulates AggregateSkipGram training round for a given word and context
- AggregateSkipGram(INDArray, INDArray, INDArray, INDArray, INDArray, int, int[], int[], int, int, int, double, long, int, INDArray) - Constructor for class org.nd4j.linalg.api.ops.aggregates.impl.AggregateSkipGram
-
- AggregateSkipGram(INDArray, INDArray, INDArray, INDArray, INDArray, int, int[], int[], int, int, int, double, long, int) - Constructor for class org.nd4j.linalg.api.ops.aggregates.impl.AggregateSkipGram
-
- AggregateSkipGram(int, int, int[], int[], int, double, int) - Constructor for class org.nd4j.linalg.api.ops.aggregates.impl.AggregateSkipGram
-
This is special signature suitable for use with VoidParameterServer, never ever use it outside of spark-nlp
- all() - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
-
Represents collecting all elements
- allCosineDistances(INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- allCosineSimilarities(INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- allEuclideanDistances(INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- allFor(INDArray) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
-
Generate an all index
equal to the rank of the given array
- allManhattanDistances(INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- alloc - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- alloc(long, DataBuffer.Type, boolean) - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
This method does allocation from a given Workspace
- alloc(long, MemoryKind, DataBuffer.Type, boolean) - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
This method does allocation from a given Workspace
- alloc(long, DataBuffer.Type, boolean) - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- alloc(long, MemoryKind, DataBuffer.Type, boolean) - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- allocate(long, MemoryKind, boolean) - Method in class org.nd4j.linalg.memory.BasicMemoryManager
-
This method returns
PLEASE NOTE: Cache options
depend on specific implementations
- allocate(long, MemoryKind, boolean) - Method in interface org.nd4j.linalg.memory.MemoryManager
-
This method returns pointer to allocated memory
PLEASE NOTE: Cache options depend on specific implementations
- allowCrossDeviceAccess(boolean) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager
-
This method allows to block cross-device access.
- allowCrossDeviceAccess(boolean) - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager
-
- allowsSpecifyOrdering() - Static method in class org.nd4j.linalg.factory.Nd4j
-
Backend specific:
Returns whether specifying the order
for the blas impl is allowed (cblas)
- amax(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- amax(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the absolute overall max of this ndarray along given dimensions
- AMax - Class in org.nd4j.linalg.api.ops.impl.accum
-
Calculate the absolute max over a vector
- AMax() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMax
-
- AMax(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMax
-
- AMax(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMax
-
- AMax(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMax
-
- amaxNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- amaxNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns maximum (absolute) value in this INDArray
- amean(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- amean(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the absolute overall mean of this ndarray
- AMean - Class in org.nd4j.linalg.api.ops.impl.accum
-
Calculate the absolute mean of the given vector
- AMean() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMean
-
- AMean(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMean
-
- AMean(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMean
-
- AMean(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMean
-
- AMean(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMean
-
- AMean(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMean
-
- ameanNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- ameanNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the absolute overall mean of this ndarray
- amin(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- amin(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns minimum (absolute) value in this INDArray, along the specified dimensions
- AMin - Class in org.nd4j.linalg.api.ops.impl.accum
-
Calculate the absolute minimum over a vector
- AMin() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMin
-
- AMin(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMin
-
- AMin(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMin
-
- AMin(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMin
-
- AMin(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMin
-
- aminNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- aminNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns absolute min value in this INDArray
- And - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Boolean AND pairwise transform
- And() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.And
-
- And(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.And
-
- And(INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.And
-
- And(INDArray, INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.And
-
- And(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.And
-
- And(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.And
-
- And(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.And
-
- And(INDArray, INDArray, INDArray, Number, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.And
-
- and(IComplexNDArray, Condition) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing
-
And
- and(INDArray, Condition) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing
-
And over the whole ndarray given some condition
- and(INDArray, Condition, int...) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing
-
And over the whole ndarray given some condition, with respect to dimensions
- And - Class in org.nd4j.linalg.indexing.conditions
-
Created by agibsonccc on 10/9/14.
- And(Condition...) - Constructor for class org.nd4j.linalg.indexing.conditions.And
-
- and(Condition...) - Method in class org.nd4j.linalg.indexing.conditions.ConditionBuilder
-
- and(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- append(T) - Method in class org.nd4j.linalg.api.ops.aggregates.Batch
-
This method tries to append aggregate to the current batch, if it has free room
- append(INDArray, int, double, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Append the given
array with the specified value size
along a particular axis
- appendBias(INDArray...) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Merge the vectors and append a bias.
- appendBias(INDArray...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- appendBias(INDArray...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- apply(Condition, Function<Number, Number>) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- apply(Condition, Function<Number, Number>) - Method in class org.nd4j.linalg.dataset.DataSet
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.AbsValueGreaterOrEqualsThan
-
- apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.AbsValueGreaterOrEqualsThan
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.AbsValueGreaterThan
-
- apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.AbsValueGreaterThan
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.AbsValueLessOrEqualsThan
-
- apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.AbsValueLessOrEqualsThan
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.AbsValueLessThan
-
- apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.AbsValueLessThan
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.And
-
- apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.And
-
- apply(Number) - Method in interface org.nd4j.linalg.indexing.conditions.Condition
-
- apply(IComplexNumber) - Method in interface org.nd4j.linalg.indexing.conditions.Condition
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.ConditionEquals
-
- apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.ConditionEquals
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.EpsilonEquals
-
- apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.EpsilonEquals
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.EpsilonNotEquals
-
- apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.EpsilonNotEquals
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.EqualsCondition
-
- apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.EqualsCondition
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.GreaterThan
-
- apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.GreaterThan
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.GreaterThanOrEqual
-
- apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.GreaterThanOrEqual
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.IsInfinite
-
- apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.IsInfinite
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.IsNaN
-
- apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.IsNaN
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.LessThan
-
- apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.LessThan
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.LessThanOrEqual
-
- apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.LessThanOrEqual
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.Not
-
- apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.Not
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.NotEqualsCondition
-
- apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.NotEqualsCondition
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.Or
-
- apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.Or
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.functions.Identity
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.functions.StableNumber
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.functions.Value
-
- apply(Number) - Method in class org.nd4j.linalg.indexing.functions.Zero
-
- applyFinalTransform() - Method in interface org.nd4j.linalg.api.ops.Accumulation
-
Whether to apply the final
transform or not
- applyFinalTransform - Variable in class org.nd4j.linalg.api.ops.BaseAccumulation
-
- applyFinalTransform() - Method in class org.nd4j.linalg.api.ops.BaseAccumulation
-
- applyMask(INDArray, INDArray) - Static method in class org.nd4j.linalg.lossfunctions.LossUtil
-
- applySchedules(int, double) - Method in class org.nd4j.linalg.learning.config.AdaDelta
-
- applySchedules(int, double) - Method in class org.nd4j.linalg.learning.config.AdaGrad
-
- applySchedules(int, double) - Method in class org.nd4j.linalg.learning.config.Adam
-
- applySchedules(int, double) - Method in class org.nd4j.linalg.learning.config.AdaMax
-
- applySchedules(int, double) - Method in interface org.nd4j.linalg.learning.config.IUpdater
-
Apply the new learning rate and any other schedules
- applySchedules(int, double) - Method in class org.nd4j.linalg.learning.config.Nadam
-
- applySchedules(int, double) - Method in class org.nd4j.linalg.learning.config.Nesterovs
-
- applySchedules(int, double) - Method in class org.nd4j.linalg.learning.config.NoOp
-
- applySchedules(int, double) - Method in class org.nd4j.linalg.learning.config.RmsProp
-
- applySchedules(int, double) - Method in class org.nd4j.linalg.learning.config.Sgd
-
- applyUpdater(INDArray, int) - Method in class org.nd4j.linalg.learning.AdaDeltaUpdater
-
Get the updated gradient for the given gradient
and also update the state of ada delta.
- applyUpdater(INDArray, int) - Method in class org.nd4j.linalg.learning.AdaGradUpdater
-
Gets feature specific learning rates
Adagrad keeps a history of gradients being passed in.
- applyUpdater(INDArray, int) - Method in class org.nd4j.linalg.learning.AdaMaxUpdater
-
Calculate the update based on the given gradient
- applyUpdater(INDArray, int) - Method in class org.nd4j.linalg.learning.AdamUpdater
-
Calculate the update based on the given gradient
- applyUpdater(INDArray, int) - Method in interface org.nd4j.linalg.learning.GradientUpdater
-
Modify the gradient to be an update.
- applyUpdater(INDArray, int) - Method in class org.nd4j.linalg.learning.NadamUpdater
-
Calculate the update based on the given gradient
- applyUpdater(INDArray, int) - Method in class org.nd4j.linalg.learning.NesterovsUpdater
-
Get the nesterov update
- applyUpdater(INDArray, int) - Method in class org.nd4j.linalg.learning.NoOpUpdater
-
- applyUpdater(INDArray, int) - Method in class org.nd4j.linalg.learning.RmsPropUpdater
-
- applyUpdater(INDArray, int) - Method in class org.nd4j.linalg.learning.SgdUpdater
-
- applyWhere(INDArray, Condition, Function<Number, Number>) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing
-
Based on the matching elements
op to based on condition to with function function
- applyWhere(INDArray, Condition, Number) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing
-
This method sets provided number to all elements which match specified condition
- applyWhere(INDArray, Condition, Function<Number, Number>, Function<Number, Number>) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing
-
Based on the matching elements
op to based on condition to with function function
- applyWhere(IComplexNDArray, Condition, Function<IComplexNumber, IComplexNumber>) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing
-
Based on the matching elements
op to based on condition to with function function
- arange(double, double) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Array of evenly spaced values.
- arange(double, double) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Array of evenly spaced values.
- arange(double) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Array of evenly spaced values.
- arange(double, double) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Array of evenly spaced values.
- argMax(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
This method returns index of highest value along specified dimension(s)
- argMax(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
This method returns index of highest value along specified dimension(s)
- argMax(INDArray, int...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- arguments - Variable in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate
-
- ArrayDescriptor - Class in org.nd4j.linalg.cache
-
This is utility class, made to compare java arrays for caching purposes.
- ArrayDescriptor(int[]) - Constructor for class org.nd4j.linalg.cache.ArrayDescriptor
-
- ArrayDescriptor(float[]) - Constructor for class org.nd4j.linalg.cache.ArrayDescriptor
-
- ArrayDescriptor(double[]) - Constructor for class org.nd4j.linalg.cache.ArrayDescriptor
-
- ArrayDescriptor(long[]) - Constructor for class org.nd4j.linalg.cache.ArrayDescriptor
-
- arrayOrdering - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArrayProxy
-
- arrayShape - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArrayProxy
-
This is a proxy class so that ndarrays can be serialized and deserialized independent of the backend
Be it cpu or gpu
- ASin - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Arcsin elementwise function
- ASin() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ASin
-
- ASin(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ASin
-
- ASin(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ASin
-
- ASin(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ASin
-
- ASin(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ASin
-
- asin(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- asin(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- asin(IComplexNumber) - Static method in class org.nd4j.linalg.util.ComplexUtil
-
Return the sin value of the given complex number
- ASinh - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Arcsin elementwise function
- ASinh() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ASinh
-
- ASinh(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ASinh
-
- ASinh(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ASinh
-
- ASinh(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ASinh
-
- ASinh(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ASinh
-
- asList() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Extract each example in the DataSet into its own DataSet object, and return all of them as a list
- asList() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Split the MultiDataSet into a list of individual examples.
- asList() - Method in class org.nd4j.linalg.dataset.DataSet
-
- asList() - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- asPercentageString() - Method in class org.nd4j.linalg.profiler.data.StringAggregator
-
- assertColumns(INDArray, INDArray) - Static method in class org.nd4j.linalg.util.LinAlgExceptions
-
- assertDouble(INDArray...) - Static method in class org.nd4j.linalg.factory.DataTypeValidation
-
- assertDouble(INDArray) - Static method in class org.nd4j.linalg.factory.DataTypeValidation
-
- assertFloat(INDArray...) - Static method in class org.nd4j.linalg.factory.DataTypeValidation
-
- assertFloat(INDArray) - Static method in class org.nd4j.linalg.factory.DataTypeValidation
-
- assertMatrix(INDArray...) - Static method in class org.nd4j.linalg.util.LinAlgExceptions
-
- assertMatrix(INDArray) - Static method in class org.nd4j.linalg.util.LinAlgExceptions
-
- assertMultiplies(INDArray, INDArray) - Static method in class org.nd4j.linalg.util.LinAlgExceptions
-
Asserts matrix multiply rules (columns of left == rows of right or rows of left == columns of right)
- assertRows(INDArray, INDArray) - Static method in class org.nd4j.linalg.util.LinAlgExceptions
-
- assertSameDataType(INDArray...) - Static method in class org.nd4j.linalg.factory.DataTypeValidation
-
- assertSameLength(INDArray, INDArray) - Static method in class org.nd4j.linalg.util.LinAlgExceptions
-
Asserts both arrays be the same length
- assertSameShape(INDArray, INDArray) - Static method in class org.nd4j.linalg.util.LinAlgExceptions
-
- assertShapeLessThan(int[], int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Assert the both shapes are the same length
and shape[i] < lessThan[i]
- assertSlice(INDArray, int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- assertValidNum(INDArray) - Static method in class org.nd4j.linalg.util.LinAlgExceptions
-
- assertVector(INDArray...) - Static method in class org.nd4j.linalg.util.LinAlgExceptions
-
- assertVector(INDArray) - Static method in class org.nd4j.linalg.util.LinAlgExceptions
-
- assign(IComplexNDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Assign all of the elements in the given
ndarray to this ndarray
- assign(IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- assign(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Assign all of the elements in the given
ndarray to this nedarray
- assign(Number) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Set the value of the ndarray to the specified value
- assign(IComplexNDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Assign all of the elements in the given
ndarray to this nedarray
- assign(Number) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Set the value of the ndarray to the specified value
- assign(IComplexNumber) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- assign(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Assign all of the elements in the given
ndarray to this ndarray
- assign(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Set the value of the ndarray to the specified value
- assign(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Assign all of the elements in the given
ndarray to this ndarray
- assign(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Set all entries of the ndarray to the specified value
- assignIf(INDArray, Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Assign all elements from given ndarray that are matching given condition,
ndarray to this ndarray
- assignIf(INDArray, Condition) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Assign all elements from given ndarray that are matching given condition,
ndarray to this ndarray
- assignIf(INDArray, INDArray, Condition) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing
-
This method does element-wise assing for 2 equal-sized matrices, for each element that matches Condition
- asString() - Method in class org.nd4j.linalg.profiler.data.StringAggregator
-
- asString() - Method in class org.nd4j.linalg.profiler.data.StringCounter
-
- asum(INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
computes the sum of magnitudes of all vector elements or, for a complex vector x, the sum
- asum(int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- asum(IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
computes the sum of magnitudes
of all vector elements or,
for a complex vector x, the sum
- asum(INDArray) - Method in interface org.nd4j.linalg.api.blas.Level1
-
computes the sum of magnitudes of all vector elements or, for a complex vector x, the sum
- asum(int, DataBuffer, int, int) - Method in interface org.nd4j.linalg.api.blas.Level1
-
sum of magnitudes of all elements
- asum(IComplexNDArray) - Method in interface org.nd4j.linalg.api.blas.Level1
-
computes the sum of magnitudes
of all vector elements or, for a complex vector x, the sum
- ASum - Class in org.nd4j.linalg.api.ops.impl.accum
-
Absolute sum the components
- ASum() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.ASum
-
- ASum(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.ASum
-
- ASum(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.ASum
-
- ASum(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.ASum
-
- ASum(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.ASum
-
- asum(INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- asum(IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- asum(INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Compute || x ||_1 (1-norm, sum of absolute values)
- asum(IComplexNDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
- asyncSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator
-
- asyncSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator
-
- asyncSupported() - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator
-
Does this DataSetIterator support asynchronous prefetching of multiple DataSet objects?
Most DataSetIterators do, but in some cases it may not make sense to wrap this iterator in an
iterator that does asynchronous prefetching.
- asyncSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator
-
- asyncSupported() - Method in interface org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator
-
Does this MultiDataSetIterator support asynchronous prefetching of multiple MultiDataSet objects?
Most MultiDataSetIterators do, but in some cases it may not make sense to wrap this iterator in an
iterator that does asynchronous prefetching.
- asyncSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator
-
Deprecated.
- asyncSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator
-
- asyncSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator
-
- asyncSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.TestMultiDataSetIterator
-
- asyncSupported() - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator
-
- asyncSupported() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
-
- asyncSupported() - Method in class org.nd4j.linalg.dataset.ViewIterator
-
- ATan - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Arc Tangent elementwise function
- ATan() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ATan
-
- ATan(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ATan
-
- ATan(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ATan
-
- ATan(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ATan
-
- ATan(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ATan
-
- atan(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- atan(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- atan(IComplexNumber) - Static method in class org.nd4j.linalg.util.ComplexUtil
-
Return the sin value of the given complex number
- atan2(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Atan2 operation, new INDArray instance will be returned
- Atan2Op - Class in org.nd4j.linalg.api.ops.impl.transforms.arithmetic
-
atan2 operation
- Atan2Op() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.Atan2Op
-
- Atan2Op(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.Atan2Op
-
- Atan2Op(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.Atan2Op
-
- Atan2Op(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.Atan2Op
-
- ATanh - Class in org.nd4j.linalg.api.ops.impl.transforms
-
tan elementwise function
- ATanh() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ATanh
-
- ATanh(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ATanh
-
- ATanh(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ATanh
-
- ATanh(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ATanh
-
- ATanh(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ATanh
-
- ATanh(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ATanh
-
- atanh(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Sin function
- atanh(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Sin function
- AtomicThrowable - Class in org.nd4j.linalg.util
-
This class provides thread-safe holder for Throwable
- AtomicThrowable() - Constructor for class org.nd4j.linalg.util.AtomicThrowable
-
This method creates new instance
- AtomicThrowable(Exception) - Constructor for class org.nd4j.linalg.util.AtomicThrowable
-
This method creates new instance with given initial state
- attachThread(int) - Method in interface org.nd4j.linalg.dataset.api.iterator.ParallelDataSetIterator
-
This method sets consumer affinity to specific producer
PLEASE NOTE: this method is optional, and it'll change only nextFor()/hasNextFor() mechanics
- attachThread(int) - Method in interface org.nd4j.linalg.dataset.api.iterator.ParallelMultiDataSetIterator
-
This method sets consumer affinity to specific producer
PLEASE NOTE: this method is optional, and it'll change only nextFor()/hasNextFor() mechanics
- attachThreadToDevice(Thread, Integer) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager
-
This method attaches specified thread to specified device
- attachThreadToDevice(long, Integer) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager
-
This method attaches specified thread (by Id) to specified device
- attachThreadToDevice(Thread, Integer) - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager
-
- attachThreadToDevice(long, Integer) - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager
-
- autoDecompress(INDArray...) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
Decompress several ndarrays
- autoDecompress(INDArray) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
- average(INDArray, INDArray[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
This method averages input arrays, and returns averaged array
- average(INDArray[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
This method averages input arrays, and returns averaged array
- average(Collection<INDArray>) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
This method averages input arrays, and returns averaged array
- average(INDArray, Collection<INDArray>) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
This method averages input arrays, and returns averaged array
- averageAndPropagate(INDArray, INDArray[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method averages input arrays, and returns averaged array.
- averageAndPropagate(INDArray[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method averages input arrays, and returns averaged array.
- averageAndPropagate(Collection<INDArray>) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method averages input arrays, and returns averaged array.
- averageAndPropagate(INDArray, Collection<INDArray>) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method averages input arrays, and returns averaged array.
- averageLoopTime - Variable in class org.nd4j.linalg.memory.BasicMemoryManager
-
- averagingEnabled - Variable in class org.nd4j.linalg.memory.BasicMemoryManager
-
- axpy(int, double, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
computes a vector-scalar product and adds the result to a vector.
- axpy(int, double, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- axpy(int, IComplexNumber, IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
computes a vector-scalar product and adds the result to a vector.
- axpy(int, double, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level1
-
computes a vector-scalar product and adds the result to a vector.
- axpy(int, double, DataBuffer, int, int, DataBuffer, int, int) - Method in interface org.nd4j.linalg.api.blas.Level1
-
computes a vector-scalar product and adds the result to a vector.
- axpy(int, IComplexNumber, IComplexNDArray, IComplexNDArray) - Method in interface org.nd4j.linalg.api.blas.Level1
-
computes a vector-scalar product and adds the result to a vector.
- Axpy - Class in org.nd4j.linalg.api.ops.impl.transforms.arithmetic
-
Level 1 blas op Axpy as libnd4j native op
- Axpy() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.Axpy
-
- Axpy(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.Axpy
-
- Axpy(INDArray, INDArray, double, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.Axpy
-
- Axpy(INDArray, INDArray, INDArray, double, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.Axpy
-
- axpy(Number, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- axpy(double, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- axpy(float, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- axpy(IComplexNumber, IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- axpy(double, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- axpy(float, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- axpy(Number, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Compute y <- y + x * alpha
- axpy(IComplexNumber, IComplexNDArray, IComplexNDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
- backend - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- BACKEND_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment
-
- backingMap - Variable in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
- backprop(INDArray, INDArray) - Method in interface org.nd4j.linalg.activations.IActivation
-
Backpropagate the errors through the activation function, given input z and epsilon dL/da.
Returns 2 INDArrays:
(a) The gradient dL/dz, calculated from dL/da, and
(b) The parameter gradients dL/dw, where w is the weights in the activation function.
- backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationCube
-
- backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationELU
-
- backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationHardSigmoid
-
- backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationHardTanH
-
- backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationIdentity
-
- backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationLReLU
-
- backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationRationalTanh
-
- backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationRectifiedTanh
-
- backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationReLU
-
- backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationRReLU
-
- backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationSELU
-
- backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationSigmoid
-
- backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationSoftmax
-
- backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationSoftPlus
-
- backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationSoftSign
-
- backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationTanH
-
- balance() - Method in class org.nd4j.linalg.dataset.BalanceMinibatches
-
Generate a balanced
dataset minibatch fileset.
- BalanceMinibatches - Class in org.nd4j.linalg.dataset
-
Auto balance mini batches by label.
- BalanceMinibatches() - Constructor for class org.nd4j.linalg.dataset.BalanceMinibatches
-
- BaseAccumulation - Class in org.nd4j.linalg.api.ops
-
Base class for accumulation, initiates the initial entry
with respect to the child class.
- BaseAccumulation() - Constructor for class org.nd4j.linalg.api.ops.BaseAccumulation
-
- BaseAccumulation(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.BaseAccumulation
-
Initialize with the given
input, pairwise transform, result, and number
of elements
- BaseAccumulation(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.BaseAccumulation
-
- BaseAccumulation(INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseAccumulation
-
- BaseAccumulation(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseAccumulation
-
- BaseActivationFunction - Class in org.nd4j.linalg.activations
-
Base IActivation for activation functions without parameters
- BaseActivationFunction() - Constructor for class org.nd4j.linalg.activations.BaseActivationFunction
-
- BaseAggregate - Class in org.nd4j.linalg.api.ops.aggregates
-
- BaseAggregate() - Constructor for class org.nd4j.linalg.api.ops.aggregates.BaseAggregate
-
- BaseBlasWrapper - Class in org.nd4j.linalg.factory
-
Base implementation of a blas wrapper that
delegates things to the underlying level.
- BaseBlasWrapper() - Constructor for class org.nd4j.linalg.factory.BaseBlasWrapper
-
- BaseBroadcastOp - Class in org.nd4j.linalg.api.ops
-
- BaseBroadcastOp(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.BaseBroadcastOp
-
- BaseComplexNDArray - Class in org.nd4j.linalg.api.complex
-
ComplexNDArray for complex numbers.
- BaseComplexNDArray() - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- BaseComplexNDArray(DataBuffer, int[], int[]) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- BaseComplexNDArray(float[]) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- BaseComplexNDArray(DataBuffer, int[], int[], long, char) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- BaseComplexNDArray(float[], int[], char) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Create this ndarray with the given data and shape and 0 offset
- BaseComplexNDArray(int[], long, char) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- BaseComplexNDArray(int[]) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- BaseComplexNDArray(float[], int[], int[], char) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- BaseComplexNDArray(int[], char) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- BaseComplexNDArray(INDArray, int[], char) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Initialize the given ndarray as the real component
- BaseComplexNDArray(INDArray, char) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Construct a complex matrix from a realComponent matrix.
- BaseComplexNDArray(INDArray) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Construct a complex matrix from a realComponent matrix.
- BaseComplexNDArray(INDArray, int[]) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Create with the specified ndarray as the real component
and the given stride
- BaseComplexNDArray(List<IComplexNDArray>, int[], int[]) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Create an ndarray from the specified slices
and the given shape
- BaseComplexNDArray(List<IComplexNDArray>, int[], int[], char) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Create an ndarray from the specified slices
and the given shape
- BaseComplexNDArray(List<IComplexNDArray>, int[], char) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Create an ndarray from the specified slices
and the given shape
- BaseComplexNDArray(float[], int[], int[], long, Character) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- BaseComplexNDArray(DataBuffer) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- BaseComplexNDArray(DataBuffer, int[], int[], long) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- BaseComplexNDArray(IComplexNumber[], int[], int[], long, char) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- BaseComplexNDArray(DataBuffer, int[]) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- BaseComplexNDArray(IComplexNumber[], int[], int[], long) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- BaseComplexNDArray(IComplexNumber[], int[], long, char) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- BaseComplexNDArray(DataBuffer, int[], long, char) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- BaseComplexNDArray(DataBuffer, int[], long) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- BaseComplexNDArray(float[], Character) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- BaseComplexNDArray(List<IComplexNDArray>, int[]) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Create an ndarray from the specified slices
and the given shape
- BaseComplexNDArray(IComplexNumber[], int[]) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Create a complex ndarray with the given complex doubles.
- BaseComplexNDArray(IComplexNumber[], int[], int[]) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Create a complex ndarray with the given complex doubles.
- BaseComplexNDArray(IComplexNumber[], int[], char) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Create a complex ndarray with the given complex doubles.
- BaseComplexNDArray(float[], int[], int[]) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Initialize with the given data,shape and stride
- BaseComplexNDArray(float[], int[]) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- BaseComplexNDArray(float[], int[], long, char) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- BaseComplexNDArray(float[], int[], long) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- BaseComplexNDArray(int[], int[], long) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Construct an ndarray of the specified shape
with an empty data array
- BaseComplexNDArray(int[], int[], long, char) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Construct an ndarray of the specified shape
with an empty data array
- BaseComplexNDArray(int[], int[], char) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Create the ndarray with
the specified shape and stride and an offset of 0
- BaseComplexNDArray(int[], int[]) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Create the ndarray with
the specified shape and stride and an offset of 0
- BaseComplexNDArray(int[], long) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- BaseComplexNDArray(int, int) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Creates a new n times m ComplexDoubleMatrix.
- BaseComplexNDArray(int, int, char) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Creates a new n times m ComplexDoubleMatrix.
- BaseComplexNDArray(float[], int[], int[], long) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- BaseCondition - Class in org.nd4j.linalg.indexing.conditions
-
Created by agibsonccc on 10/8/14.
- BaseCondition(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.BaseCondition
-
- BaseCondition(IComplexNumber) - Constructor for class org.nd4j.linalg.indexing.conditions.BaseCondition
-
- BaseConvolution - Class in org.nd4j.linalg.convolution
-
Base convolution implementation
- BaseConvolution() - Constructor for class org.nd4j.linalg.convolution.BaseConvolution
-
- BaseDataFetcher - Class in org.nd4j.linalg.dataset.api.iterator.fetcher
-
A base class for assisting with creation of matrices
with the data transform fetcher
- BaseDataFetcher() - Constructor for class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher
-
- BaseDatasetIterator - Class in org.nd4j.linalg.dataset.api.iterator
-
Baseline implementation includes
control over the data fetcher and some basic
getters for metadata
- BaseDatasetIterator(int, int, DataSetFetcher) - Constructor for class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator
-
- BaseDistribution - Class in org.nd4j.linalg.api.rng.distribution
-
Base distribution derived from apache commons math
http://commons.apache.org/proper/commons-math/
(specifically the
org.apache.commons.math3.distribution.AbstractRealDistribution
- BaseDistribution(Random) - Constructor for class org.nd4j.linalg.api.rng.distribution.BaseDistribution
-
- BaseDistribution() - Constructor for class org.nd4j.linalg.api.rng.distribution.BaseDistribution
-
- BaseFFTInstance - Class in org.nd4j.linalg.fft
-
Abstract FFT Instance mostly handling basic things that shouldn't change
such as method overloading.
- BaseFFTInstance() - Constructor for class org.nd4j.linalg.fft.BaseFFTInstance
-
- BaseGridOp - Class in org.nd4j.linalg.api.ops.impl.grid
-
- BaseGridOp() - Constructor for class org.nd4j.linalg.api.ops.impl.grid.BaseGridOp
-
- BaseGridOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.grid.BaseGridOp
-
- BaseGridOp(Op...) - Constructor for class org.nd4j.linalg.api.ops.impl.grid.BaseGridOp
-
- BaseGridOp(OpDescriptor...) - Constructor for class org.nd4j.linalg.api.ops.impl.grid.BaseGridOp
-
- BaseGridOp(GridPointers...) - Constructor for class org.nd4j.linalg.api.ops.impl.grid.BaseGridOp
-
- BaseGridOp(List<Op>) - Constructor for class org.nd4j.linalg.api.ops.impl.grid.BaseGridOp
-
- BaseIndexAccumulation - Class in org.nd4j.linalg.api.ops
-
- BaseIndexAccumulation() - Constructor for class org.nd4j.linalg.api.ops.BaseIndexAccumulation
-
- BaseIndexAccumulation(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.BaseIndexAccumulation
-
Initialize with the given
input, pairwise transform, result, and number
of elements
- BaseIndexAccumulation(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.BaseIndexAccumulation
-
- BaseIndexAccumulation(INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseIndexAccumulation
-
- BaseIndexAccumulation(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseIndexAccumulation
-
- BaseLapack - Class in org.nd4j.linalg.api.blas.impl
-
Base lapack define float and double versions.
- BaseLapack() - Constructor for class org.nd4j.linalg.api.blas.impl.BaseLapack
-
- BaseLevel - Class in org.nd4j.linalg.api.blas.impl
-
Provides auxillary methods for
blas to databuffer interactions
- BaseLevel() - Constructor for class org.nd4j.linalg.api.blas.impl.BaseLevel
-
- BaseLevel1 - Class in org.nd4j.linalg.api.blas.impl
-
Base class for level 1 functions, abstract headers pulled from:
http://www.netlib.org/blas/blast-forum/cblas.h
- BaseLevel1() - Constructor for class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- BaseLevel2 - Class in org.nd4j.linalg.api.blas.impl
-
Base class for level 2 functions, abstract headers pulled from:
http://www.netlib.org/blas/blast-forum/cblas.h
- BaseLevel2() - Constructor for class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- BaseLevel3 - Class in org.nd4j.linalg.api.blas.impl
-
Base class for level 3 functions, abstract headers pulled from:
http://www.netlib.org/blas/blast-forum/cblas.h
- BaseLevel3() - Constructor for class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
- BaseLossFunction - Class in org.nd4j.linalg.api.ops
-
- BaseLossFunction(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.BaseLossFunction
-
- BaseLossFunction(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.BaseLossFunction
-
- BaseLossFunction(INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseLossFunction
-
- BaseLossFunction(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseLossFunction
-
- BaseLossFunction() - Constructor for class org.nd4j.linalg.api.ops.BaseLossFunction
-
- basement - Variable in class org.nd4j.linalg.profiler.data.primitives.StackTree
-
- BaseMetaOp - Class in org.nd4j.linalg.api.ops.impl.meta
-
- BaseMetaOp() - Constructor for class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp
-
- BaseMetaOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp
-
- BaseMetaOp(Op, Op) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp
-
- BaseMetaOp(OpDescriptor, OpDescriptor) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp
-
- BaseMetaOp(GridPointers, GridPointers) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp
-
- BaseNDArray - Class in org.nd4j.linalg.api.ndarray
-
NDArray: (think numpy)
A few things of note.
- BaseNDArray() - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- BaseNDArray(DataBuffer) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- BaseNDArray(DataBuffer, int[], int[], long, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- BaseNDArray(double[][]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Initialize the ndarray as a matrix
with the given data (indices preserved)
- BaseNDArray(double[][], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- BaseNDArray(int[], DataBuffer) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Create with the specified shape and buffer
- BaseNDArray(float[], int[], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Create this ndarray with the given data and shape and 0 offset
- BaseNDArray(float[], int[], long, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- BaseNDArray(int[], int[], long, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Construct an ndarray of the specified shape
with an empty data array
- BaseNDArray(int[], int[], long, char, boolean) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Construct an ndarray of the specified shape.
- BaseNDArray(int[], int[], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Create the ndarray with
the specified shape and stride and an offset of 0
- BaseNDArray(int[], long, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- BaseNDArray(int[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Create an ndarray
with the given shape
- BaseNDArray(int, int, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Creates a new n times m DoubleMatrix.
- BaseNDArray(List<INDArray>, int[], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Create an ndarray from the specified slices.
- BaseNDArray(List<INDArray>, int[], int[], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Create an ndarray from the specified slices.
- BaseNDArray(float[], int[], int[], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- BaseNDArray(float[], int[], int[], long, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- BaseNDArray(DataBuffer, int[], int[], long) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- BaseNDArray(int[], int[], int[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- BaseNDArray(DataBuffer, int[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- BaseNDArray(DataBuffer, int[], long) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- BaseNDArray(DataBuffer, int[], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- BaseNDArray(double[], int[], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- BaseNDArray(double[], int[], int[], long, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- BaseNDArray(float[], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- BaseNDArray(DataBuffer, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- BaseNDArray(DataBuffer, int[], int[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- BaseNDArray(float[], int[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Create this ndarray with the given data and shape and 0 offset
- BaseNDArray(float[], int[], long) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- BaseNDArray(int[], int[], long) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Construct an ndarray of the specified shape
with an empty data array
- BaseNDArray(int[], int[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Create the ndarray with
the specified shape and stride and an offset of 0
- BaseNDArray(int[], long) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- BaseNDArray(int[], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- BaseNDArray(int, int) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Creates a new n times m DoubleMatrix.
- BaseNDArray(List<INDArray>, int[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Create an ndarray from the specified slices.
- BaseNDArray(List<INDArray>, int[], int[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Create an ndarray from the specified slices.
- BaseNDArray(float[], int[], int[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- BaseNDArray(float[], int[], int[], long) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- BaseNDArray(float[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- BaseNDArray(float[][]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Initialize the ndarray
with the given data
- BaseNDArray(float[][], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- BaseNDArray(DataBuffer, int[], long, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Constructor for stride and offset
- BaseNDArray(double[], int[], int[], long) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- BaseNDArrayFactory - Class in org.nd4j.linalg.factory
-
Base NDArrayFactory class.
- BaseNDArrayFactory() - Constructor for class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- BaseNDArrayFactory(DataBuffer.Type, Character) - Constructor for class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Initialize with the given data type and ordering
The ndarray factory will use this for
- BaseNDArrayFactory(DataBuffer.Type, char) - Constructor for class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- BaseNDArrayProxy - Class in org.nd4j.linalg.api.ndarray
-
- BaseNDArrayProxy(INDArray) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArrayProxy
-
- BaseOp - Class in org.nd4j.linalg.api.ops
-
Base op.
- BaseOp() - Constructor for class org.nd4j.linalg.api.ops.BaseOp
-
- BaseOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseOp
-
Specify an alternative result array
- BaseOp(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.BaseOp
-
Specify an alternative output array
- BaseOp(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.BaseOp
-
- BaseOp(INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseOp
-
An op for one ndarray
- BaseRandomOp - Class in org.nd4j.linalg.api.ops.random
-
- BaseRandomOp() - Constructor for class org.nd4j.linalg.api.ops.random.BaseRandomOp
-
- BaseScalarOp - Class in org.nd4j.linalg.api.ops
-
Base scalar operation
- BaseScalarOp() - Constructor for class org.nd4j.linalg.api.ops.BaseScalarOp
-
- BaseScalarOp(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.BaseScalarOp
-
- BaseScalarOp(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.BaseScalarOp
-
- BaseScalarOp(INDArray, INDArray, INDArray, long, IComplexNumber) - Constructor for class org.nd4j.linalg.api.ops.BaseScalarOp
-
- BaseScalarOp(INDArray, IComplexNumber) - Constructor for class org.nd4j.linalg.api.ops.BaseScalarOp
-
- BaseShapeInfoProvider - Class in org.nd4j.linalg.api.ndarray
-
- BaseShapeInfoProvider() - Constructor for class org.nd4j.linalg.api.ndarray.BaseShapeInfoProvider
-
- BaseTransformOp - Class in org.nd4j.linalg.api.ops
-
A base op for basic getters and setters
- BaseTransformOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformOp
-
- BaseTransformOp() - Constructor for class org.nd4j.linalg.api.ops.BaseTransformOp
-
- BaseTransformOp(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformOp
-
- BaseTransformOp(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformOp
-
- BaseTransformOp(INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformOp
-
- BaseUnderSamplingPreProcessor - Class in org.nd4j.linalg.dataset.api.preprocessor.classimbalance
-
- BaseUnderSamplingPreProcessor() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.classimbalance.BaseUnderSamplingPreProcessor
-
- BasicAffinityManager - Class in org.nd4j.linalg.api.concurrency
-
- BasicAffinityManager() - Constructor for class org.nd4j.linalg.api.concurrency.BasicAffinityManager
-
- BasicConstantHandler - Class in org.nd4j.linalg.cache
-
Basic No-Op abstraction for ConstantHandler
- BasicConstantHandler() - Constructor for class org.nd4j.linalg.cache.BasicConstantHandler
-
- BasicMemoryManager - Class in org.nd4j.linalg.memory
-
- BasicMemoryManager() - Constructor for class org.nd4j.linalg.memory.BasicMemoryManager
-
- BasicNDArrayCompressor - Class in org.nd4j.linalg.compression
-
- BasicStash<T> - Class in org.nd4j.linalg.memory.stash
-
- BasicStash() - Constructor for class org.nd4j.linalg.memory.stash.BasicStash
-
- BasicStashManager - Class in org.nd4j.linalg.memory.stash
-
- BasicStashManager() - Constructor for class org.nd4j.linalg.memory.stash.BasicStashManager
-
- BasicWorkspaceManager - Class in org.nd4j.linalg.memory.provider
-
Workspace manager implementation.
- BasicWorkspaceManager() - Constructor for class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
- BasicWorkspaceManager(WorkspaceConfiguration) - Constructor for class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
- BasicWorkspaceManager.WorkspaceDeallocatorThread - Class in org.nd4j.linalg.memory.provider
-
- Batch<T extends Aggregate> - Class in org.nd4j.linalg.api.ops.aggregates
-
Wrapper for "batch of aggregates"
- Batch(List<T>) - Constructor for class org.nd4j.linalg.api.ops.aggregates.Batch
-
This constructor takes List of Aggregates, and builds Batch instance, usable with Nd4j executioner.
- batch - Variable in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator
-
- batch() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator
-
- batch() - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator
-
- batch() - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator
-
Batch size
- batch() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator
-
The number of examples in every fold, except the last if totalexamples % k !=0
- batch() - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator
-
Deprecated.
Batch size
- batch() - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator
-
- batch() - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator
-
- batch() - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator
-
- batch() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
-
- batch() - Method in class org.nd4j.linalg.dataset.ViewIterator
-
- batchBy(int) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- batchBy(int) - Method in class org.nd4j.linalg.dataset.DataSet
-
Partitions a dataset in to mini batches where
each dataset in each list is of the specified number of examples
- batchByNumLabels() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- batchByNumLabels() - Method in class org.nd4j.linalg.dataset.DataSet
-
- begin - Variable in class org.nd4j.linalg.indexing.IntervalIndex
-
- BernoulliDistribution - Class in org.nd4j.linalg.api.ops.random.impl
-
BernoulliDistribution implementation
- BernoulliDistribution() - Constructor for class org.nd4j.linalg.api.ops.random.impl.BernoulliDistribution
-
- BernoulliDistribution(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.BernoulliDistribution
-
This op fills Z with bernoulli trial results, so 0, or 1, depending by common probability
- BernoulliDistribution(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.random.impl.BernoulliDistribution
-
This op fills Z with bernoulli trial results, so 0, or 1, each element will have it's own success probability defined in prob array
- Bias - Class in org.nd4j.linalg.api.ops.impl.accum
-
Calculate a bias
- Bias() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Bias
-
- Bias(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Bias
-
- Bias(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Bias
-
- Bias(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Bias
-
- Bias(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Bias
-
- bias - Variable in class org.nd4j.linalg.api.ops.impl.accum.Variance
-
- biasCorrected - Variable in class org.nd4j.linalg.api.ops.impl.accum.Variance
-
- bilinearProducts(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Returns a column vector where each entry is the nth bilinear
product of the nth slices of the two tensors.
- bilinearProducts(INDArray, INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Returns a column vector where each entry is the nth bilinear
product of the nth slices of the two tensors.
- bilinearProducts(INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Returns a column vector where each entry is the nth bilinear
product of the nth slices of the two tensors.
- binarize() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- binarize(double) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- binarize() - Method in class org.nd4j.linalg.dataset.DataSet
-
Same as calling binarize(0)
- binarize(double) - Method in class org.nd4j.linalg.dataset.DataSet
-
Binarizes the dataset such that any number greater than cutoff is 1 otherwise zero
- BinarySerde - Class in org.nd4j.serde.binary
-
Created by agibsonccc on 7/1/17.
- BinarySerde() - Constructor for class org.nd4j.serde.binary.BinarySerde
-
- BinomialDistribution - Class in org.nd4j.linalg.api.ops.random.impl
-
This Op generates binomial distribution
- BinomialDistribution() - Constructor for class org.nd4j.linalg.api.ops.random.impl.BinomialDistribution
-
- BinomialDistribution(INDArray, int, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.BinomialDistribution
-
This op fills Z with binomial distribution over given trials with single given probability for all trials
- BinomialDistribution(INDArray, int, INDArray) - Constructor for class org.nd4j.linalg.api.ops.random.impl.BinomialDistribution
-
This op fills Z with binomial distribution over given trials with probability for each trial given as probabilities INDArray
- BinomialDistribution(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.random.impl.BinomialDistribution
-
This op fills Z with binomial distribution over given trials with probability for each trial given as probabilities INDArray
- BinomialDistribution - Class in org.nd4j.linalg.api.rng.distribution.impl
-
Base distribution derived from apache commons math
http://commons.apache.org/proper/commons-math/
(specifically the
org.apache.commons.math3.distribution.BinomialDistribution
- BinomialDistribution(int, double) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
-
Create a binomial distribution with the given number of trials and
probability of success.
- BinomialDistribution(Random, int, double) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
-
Creates a binomial distribution.
- BinomialDistribution(int, INDArray) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
-
- BinomialDistributionEx - Class in org.nd4j.linalg.api.ops.random.impl
-
This Op generates binomial distribution
- BinomialDistributionEx() - Constructor for class org.nd4j.linalg.api.ops.random.impl.BinomialDistributionEx
-
- BinomialDistributionEx(INDArray, int, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.BinomialDistributionEx
-
This op fills Z with binomial distribution over given trials with single given probability for all trials
- BinomialDistributionEx(INDArray, int, INDArray) - Constructor for class org.nd4j.linalg.api.ops.random.impl.BinomialDistributionEx
-
This op fills Z with binomial distribution over given trials with probability for each trial given as probabilities INDArray
- BinomialDistributionEx(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.random.impl.BinomialDistributionEx
-
This op fills Z with binomial distribution over given trials with probability for each trial given as probabilities INDArray
- BITMAP_ENCODING - Static variable in class org.nd4j.linalg.compression.ThresholdCompression
-
- bitmapDecode(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- bitmapDecode(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
- bitmapEncode(INDArray, INDArray, double) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- bitmapEncode(INDArray, double) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- bitmapEncode(INDArray, INDArray, double) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
This method returns number of elements affected by encoder
- bitmapEncode(INDArray, double) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
- Blas - Interface in org.nd4j.linalg.api.blas
-
Extra functionality for BLAS
- blas - Variable in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- blas() - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- blas() - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Return extra blas operations
- Blas.Vendor - Enum in org.nd4j.linalg.api.blas
-
- BLAS_OPS - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- BLAS_THREADS_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment
-
- BLAS_VENDOR_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment
-
- BLAS_WRAPPER_INSTANCE - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- BlasBufferUtil - Class in org.nd4j.linalg.api.blas
-
Blas buffer util for interopping with the underlying buffers
and the given ndarrays
- BlasBufferUtil() - Constructor for class org.nd4j.linalg.api.blas.BlasBufferUtil
-
- BlasException - Error in org.nd4j.linalg.api.blas
-
General exception for Blas library errors
- BlasException(String, int) - Constructor for error org.nd4j.linalg.api.blas.BlasException
-
Principal constructor - error message & error code
- BlasException(String) - Constructor for error org.nd4j.linalg.api.blas.BlasException
-
- blasOffset() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- blasOffset() - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
For blas operations, this is the offset / 2
when offset is > 0
- BlasOpErrorMessage - Class in org.nd4j.linalg.api.ops.exception
-
- BlasOpErrorMessage(Op) - Constructor for class org.nd4j.linalg.api.ops.exception.BlasOpErrorMessage
-
- BlasWrapper - Interface in org.nd4j.linalg.factory
-
This class provides a cleaner direct interface to the BLAS routines by extracting the parameters of the matrices from
the matrices itself.
- blasWrapperClazz - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- BooleanIndexing - Class in org.nd4j.linalg.indexing
-
Boolean indexing
- BooleanIndexing() - Constructor for class org.nd4j.linalg.indexing.BooleanIndexing
-
- borrowingWorkspace - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- branches - Variable in class org.nd4j.linalg.profiler.data.primitives.StackTree
-
- broadcast(int[]) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Broadcasts this ndarray to be the specified shape
- broadcast(int[]) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Broadcasts this ndarray to be the specified shape
- broadcast(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Broadcasts this ndarray to be the specified shape
- broadcast(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Broadcasts this ndarray to be the specified shape
- Broadcast - Class in org.nd4j.linalg.api.ops.impl.shape
-
Transpose function
- Broadcast() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Broadcast
-
- Broadcast(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Broadcast
-
- Broadcast(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Broadcast
-
- Broadcast(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Broadcast
-
- Broadcast(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Broadcast
-
- broadcast(INDArray) - Method in class org.nd4j.linalg.util.DeviceLocalNDArray
-
This method duplicates array, and stores it to all devices
- BroadcastAddOp - Class in org.nd4j.linalg.api.ops.impl.broadcast
-
- BroadcastAddOp() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAddOp
-
- BroadcastAddOp(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAddOp
-
- BroadcastCopyOp - Class in org.nd4j.linalg.api.ops.impl.broadcast
-
- BroadcastCopyOp() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastCopyOp
-
- BroadcastCopyOp(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastCopyOp
-
- BroadcastDivOp - Class in org.nd4j.linalg.api.ops.impl.broadcast
-
- BroadcastDivOp() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastDivOp
-
- BroadcastDivOp(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastDivOp
-
- BroadcastEqualTo - Class in org.nd4j.linalg.api.ops.impl.broadcast
-
- BroadcastEqualTo() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastEqualTo
-
- BroadcastEqualTo(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastEqualTo
-
- BroadcastGreaterThan - Class in org.nd4j.linalg.api.ops.impl.broadcast
-
- BroadcastGreaterThan() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGreaterThan
-
- BroadcastGreaterThan(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGreaterThan
-
- BroadcastGreaterThanOrEqual - Class in org.nd4j.linalg.api.ops.impl.broadcast
-
- BroadcastGreaterThanOrEqual() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGreaterThanOrEqual
-
- BroadcastGreaterThanOrEqual(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGreaterThanOrEqual
-
- broadcastLength() - Method in class org.nd4j.linalg.api.ops.BaseBroadcastOp
-
- broadcastLength() - Method in class org.nd4j.linalg.api.ops.BaseScalarOp
-
- broadcastLength() - Method in interface org.nd4j.linalg.api.ops.BroadcastOp
-
The length of the number of elements
in the broadcast
- BroadcastLessThan - Class in org.nd4j.linalg.api.ops.impl.broadcast
-
- BroadcastLessThan() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastLessThan
-
- BroadcastLessThan(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastLessThan
-
- BroadcastLessThanOrEqual - Class in org.nd4j.linalg.api.ops.impl.broadcast
-
- BroadcastLessThanOrEqual() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastLessThanOrEqual
-
- BroadcastLessThanOrEqual(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastLessThanOrEqual
-
- BroadcastMulOp - Class in org.nd4j.linalg.api.ops.impl.broadcast
-
- BroadcastMulOp() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMulOp
-
- BroadcastMulOp(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMulOp
-
- BroadcastNotEqual - Class in org.nd4j.linalg.api.ops.impl.broadcast
-
- BroadcastNotEqual() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastNotEqual
-
- BroadcastNotEqual(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastNotEqual
-
- BroadcastOp - Interface in org.nd4j.linalg.api.ops
-
A broad cast op is one where a scalar
or less rank array
is broadcast to fill
a bigg er array.
- BroadcastRDivOp - Class in org.nd4j.linalg.api.ops.impl.broadcast
-
Broadcast reverse divide
- BroadcastRDivOp() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRDivOp
-
- BroadcastRDivOp(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRDivOp
-
- BroadcastRSubOp - Class in org.nd4j.linalg.api.ops.impl.broadcast
-
- BroadcastRSubOp() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRSubOp
-
- BroadcastRSubOp(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRSubOp
-
- broadcastShape() - Method in class org.nd4j.linalg.api.ops.BaseBroadcastOp
-
- broadcastShape() - Method in class org.nd4j.linalg.api.ops.BaseScalarOp
-
- broadcastShape() - Method in interface org.nd4j.linalg.api.ops.BroadcastOp
-
The shape of the
element to be broadcast
- BroadcastSubOp - Class in org.nd4j.linalg.api.ops.impl.broadcast
-
- BroadcastSubOp() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastSubOp
-
- BroadcastSubOp(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastSubOp
-
- broadcastToShape(int[], long) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
Generate a random shape to
broadcast to
given a randomly generated
shape with 1s in it as inputs
- bufferQueue - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- bufferRefQueue() - Static method in class org.nd4j.linalg.factory.Nd4j
-
The reference queue used for cleaning up
databuffers
- bufferToString(IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- build() - Method in class org.nd4j.linalg.dataset.api.preprocessor.stats.DistributionStats.Builder
-
Create a DistributionStats object from the data ingested so far.
- build() - Method in class org.nd4j.linalg.dataset.api.preprocessor.stats.MinMaxStats.Builder
-
Create a DistributionStats object from the data ingested so far.
- build() - Method in interface org.nd4j.linalg.dataset.api.preprocessor.stats.NormalizerStats.Builder
-
Builder pattern
- build() - Method in class org.nd4j.linalg.indexing.conditions.ConditionBuilder
-
- build() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity.Builder
-
Creates a new instance of the mixture density
cost function.
- buildCId() - Static method in class org.nd4j.linalg.heartbeat.utils.EnvironmentUtils
-
- buildEnvironment() - Static method in class org.nd4j.linalg.heartbeat.utils.EnvironmentUtils
-
This method build
- Builder() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.stats.DistributionStats.Builder
-
- Builder() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.stats.MinMaxStats.Builder
-
- Builder() - Constructor for class org.nd4j.linalg.learning.config.AdaDelta.Builder
-
- Builder() - Constructor for class org.nd4j.linalg.learning.config.AdaGrad.Builder
-
- Builder() - Constructor for class org.nd4j.linalg.learning.config.Adam.Builder
-
- Builder() - Constructor for class org.nd4j.linalg.learning.config.AdaMax.Builder
-
- Builder() - Constructor for class org.nd4j.linalg.learning.config.Nadam.Builder
-
- Builder() - Constructor for class org.nd4j.linalg.learning.config.Nesterovs.Builder
-
- Builder() - Constructor for class org.nd4j.linalg.learning.config.RmsProp.Builder
-
- Builder() - Constructor for class org.nd4j.linalg.learning.config.Sgd.Builder
-
- builder() - Static method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity
-
- buildTask(INDArray[], INDArray[]) - Static method in class org.nd4j.linalg.heartbeat.utils.TaskUtils
-
- buildTask(INDArray, INDArray) - Static method in class org.nd4j.linalg.heartbeat.utils.TaskUtils
-
- buildTask(INDArray) - Static method in class org.nd4j.linalg.heartbeat.utils.TaskUtils
-
- buildTask(DataSet) - Static method in class org.nd4j.linalg.heartbeat.utils.TaskUtils
-
- buildTask(DataSet) - Static method in class org.nd4j.linalg.heartbeat.utils.TaskUtils
-
- buildTask(DataSetIterator) - Static method in class org.nd4j.linalg.heartbeat.utils.TaskUtils
-
- byteBufferSizeFor(INDArray) - Static method in class org.nd4j.serde.binary.BinarySerde
-
Returns the byte buffer size for the given
ndarray.
- bytes - Variable in class org.nd4j.linalg.api.ndarray.BaseShapeInfoProvider
-
- C - Static variable in interface org.nd4j.linalg.factory.NDArrayFactory
-
- CachingDataSetIterator - Class in org.nd4j.linalg.dataset.api.iterator
-
Created by anton on 7/16/16.
- CachingDataSetIterator(DataSetIterator, DataSetCache, String) - Constructor for class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator
-
- CachingDataSetIterator(DataSetIterator, DataSetCache, String, boolean) - Constructor for class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator
-
- CachingDataSetIterator(DataSetIterator, DataSetCache) - Constructor for class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator
-
- calculateFinalResult(double, long) - Method in interface org.nd4j.linalg.api.ops.Accumulation
-
Calculate the final result.
- calculateFinalResult(float, long) - Method in interface org.nd4j.linalg.api.ops.Accumulation
-
- calculateFinalResult(double, long) - Method in class org.nd4j.linalg.api.ops.BaseAccumulation
-
- calculateFinalResult(float, long) - Method in class org.nd4j.linalg.api.ops.BaseAccumulation
-
- calculateFinalResult(double, long) - Method in class org.nd4j.linalg.api.ops.impl.accum.AMean
-
- calculateFinalResult(float, long) - Method in class org.nd4j.linalg.api.ops.impl.accum.AMean
-
- calculateFinalResult(double, long) - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.CosineDistance
-
- calculateFinalResult(float, long) - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.CosineDistance
-
- calculateFinalResult(double, long) - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.CosineSimilarity
-
- calculateFinalResult(float, long) - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.CosineSimilarity
-
- calculateFinalResult(double, long) - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.EuclideanDistance
-
- calculateFinalResult(float, long) - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.EuclideanDistance
-
- calculateFinalResult(double, long) - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.HammingDistance
-
- calculateFinalResult(float, long) - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.HammingDistance
-
- calculateFinalResult(double, long) - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.JaccardDistance
-
- calculateFinalResult(float, long) - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.JaccardDistance
-
- calculateFinalResult(double, long) - Method in class org.nd4j.linalg.api.ops.impl.accum.Mean
-
- calculateFinalResult(float, long) - Method in class org.nd4j.linalg.api.ops.impl.accum.Mean
-
- calculateFinalResult(double, long) - Method in class org.nd4j.linalg.api.ops.impl.accum.Norm2
-
- calculateFinalResult(float, long) - Method in class org.nd4j.linalg.api.ops.impl.accum.Norm2
-
- calculateFinalResult(double, long) - Method in class org.nd4j.linalg.api.ops.impl.accum.ShannonEntropy
-
- calculateFinalResult(float, long) - Method in class org.nd4j.linalg.api.ops.impl.accum.ShannonEntropy
-
- calculateFinalResult(double, long) - Method in class org.nd4j.linalg.api.ops.impl.accum.StandardDeviation
-
- calculateFinalResult(float, long) - Method in class org.nd4j.linalg.api.ops.impl.accum.StandardDeviation
-
- calculateFinalResult(double, long) - Method in class org.nd4j.linalg.api.ops.impl.accum.Variance
-
- calculateFinalResult(float, long) - Method in class org.nd4j.linalg.api.ops.impl.accum.Variance
-
- canDoOpDirectly(INDArray) - Static method in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil
-
Can we do the op (X = Op(X)) directly on the arrays without breaking X up into 1d tensors first?
In general, this is possible if the elements of X are contiguous in the buffer, OR if every element
of X is at position offset+i*elementWiseStride in the buffer
- canDoOpDirectly(INDArray, INDArray) - Static method in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil
-
Can we do the transform op (X = Op(X,Y)) directly on the arrays without breaking them up into 1d tensors first?
- canDoOpDirectly(INDArray, INDArray, INDArray) - Static method in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil
-
Can we do the transform op (Z = Op(X,Y)) directly on the arrays without breaking them up into 1d tensors first?
- caxpy(int, IComplexFloat, IComplexNDArray, int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- ccopy(int, IComplexNDArray, int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- cdotc_sub(int, IComplexNDArray, int, IComplexNDArray, int, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- cdotu_sub(int, IComplexNDArray, int, IComplexNDArray, int, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- Ceil - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Ceiling elementwise function
- Ceil() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Ceil
-
- Ceil(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Ceil
-
- Ceil(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Ceil
-
- Ceil(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Ceil
-
- Ceil(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Ceil
-
- ceil(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- ceil(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- ceil(IComplexNumber) - Static method in class org.nd4j.linalg.util.ComplexUtil
-
Return the ceiling value of the given complex number
- ceiling(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Binary matrix of whether the number at a given index is greater than
- ceiling(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Ceiling function
- center(IComplexNDArray, int[]) - Static method in class org.nd4j.linalg.util.ComplexNDArrayUtil
-
Center an array
- cgbmv(char, char, int, int, int, int, IComplexFloat, IComplexNDArray, int, IComplexNDArray, int, IComplexFloat, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- cgemm(char, char, char, int, int, int, IComplexFloat, IComplexNDArray, int, IComplexNDArray, int, IComplexFloat, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
- cgemv(char, char, int, int, IComplexFloat, IComplexNDArray, int, IComplexNDArray, int, IComplexFloat, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- cgerc(char, int, int, IComplexFloat, IComplexNDArray, int, IComplexNDArray, int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- cgeru(char, int, int, IComplexFloat, IComplexNDArray, int, IComplexNDArray, int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- chbmv(char, char, int, int, IComplexFloat, IComplexNDArray, int, IComplexNDArray, int, IComplexFloat, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- checkAdd(INDArray, INDArray, double, double) - Static method in class org.nd4j.linalg.checkutil.CheckUtil
-
Same as checkMmul, but for matrix addition
- checkArrangeArray(int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- checkDimensions(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Validate dimensions are equal
- checkDimensions(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Validate dimensions are equal
- checkDimensions(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- checkDimensions(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Validate dimensions are equal
- checkDivManually(INDArray, INDArray, double, double) - Static method in class org.nd4j.linalg.checkutil.CheckUtil
-
- checkEntries(RealMatrix, INDArray, double, double) - Static method in class org.nd4j.linalg.checkutil.CheckUtil
-
- checkEntries(INDArray, INDArray, double, double) - Static method in class org.nd4j.linalg.checkutil.CheckUtil
-
- checkForAny(INDArray) - Static method in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil
-
- checkForCompression(Op) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- checkForInf(INDArray) - Static method in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil
-
- checkForInf(Op) - Static method in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil
-
- checkForNaN(INDArray) - Static method in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil
-
- checkForNaN(Op) - Static method in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil
-
- checkGemm(INDArray, INDArray, INDArray, boolean, boolean, double, double, double, double) - Static method in class org.nd4j.linalg.checkutil.CheckUtil
-
- checkIfExists(T) - Method in class org.nd4j.linalg.memory.stash.BasicStash
-
- checkIfExists(T) - Method in interface org.nd4j.linalg.memory.stash.Stash
-
- checkIfStashExists(T) - Method in class org.nd4j.linalg.memory.stash.BasicStashManager
-
- checkIfStashExists(T) - Method in interface org.nd4j.linalg.memory.stash.StashManager
-
- checkIfWorkspaceExists(String) - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
This method checks, if Workspace with a given Id was created before this call
- checkInfo(String, int) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- checkInfo(String, int) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
- checkMmul(INDArray, INDArray, double, double) - Static method in class org.nd4j.linalg.checkutil.CheckUtil
-
Check first.mmul(second) using Apache commons math mmul.
- checkMulManually(INDArray, INDArray, double, double) - Static method in class org.nd4j.linalg.checkutil.CheckUtil
-
- checkShapeValues(int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- checkShapeValues(int, int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- checkSubtract(INDArray, INDArray, double, double) - Static method in class org.nd4j.linalg.checkutil.CheckUtil
-
Same as checkMmul, but for matrix subtraction
- CheckUtil - Class in org.nd4j.linalg.checkutil
-
- CheckUtil() - Constructor for class org.nd4j.linalg.checkutil.CheckUtil
-
- checkVersions() - Static method in class org.nd4j.versioncheck.VersionCheck
-
Perform a check of the versions of ND4J, DL4J, DataVec, RL4J and Arbiter dependencies, logging a warning
if necessary.
- chemm(char, char, char, int, int, IComplexFloat, IComplexNDArray, int, IComplexNDArray, int, IComplexFloat, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
- chemv(char, char, int, IComplexFloat, IComplexNDArray, int, IComplexNDArray, int, IComplexFloat, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- cher(char, char, int, float, IComplexNDArray, int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- cher2(char, char, int, IComplexFloat, IComplexNDArray, int, IComplexNDArray, int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- cher2k(char, char, char, int, int, IComplexFloat, IComplexNDArray, int, IComplexNDArray, int, IComplexFloat, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
- cherk(char, char, char, int, int, IComplexFloat, IComplexNDArray, int, IComplexFloat, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
- Choice - Class in org.nd4j.linalg.api.ops.random.impl
-
This Op implements numpy.choice method
It fills Z from source, following probabilities for each source element
- Choice() - Constructor for class org.nd4j.linalg.api.ops.random.impl.Choice
-
- Choice(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.random.impl.Choice
-
- choice(INDArray, INDArray, INDArray, Random) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method samples value from Source array to Target, with probabilites provided in Probs argument
- choice(INDArray, INDArray, INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method samples value from Source array to Target, with probabilites provided in Probs argument
- choice(INDArray, INDArray, int, Random) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method returns new INDArray instance, sampled from Source array with probabilities given in Probs
- choice(INDArray, INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method returns new INDArray instance, sampled from Source array with probabilities given in Probs
- chooseElementWiseTensorDimension(INDArray) - Static method in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil
-
Choose tensor dimension for operations with one argument: x=Op(x) or similar
When doing some operations in parallel, it is necessary to break up
operations along a dimension to
give a set of 1d tensors.
- chooseElementWiseTensorDimension(INDArray, INDArray) - Static method in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil
-
Choose tensor dimension for operations with 2 arguments: x=Op(x,y) or similar
- chooseElementWiseTensorDimension(INDArray, INDArray, INDArray) - Static method in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil
-
Choose tensor dimension for operations with 3 arguments: z=Op(x,y) or similar
- chpmv(char, char, int, IComplexFloat, IComplexNDArray, IComplexNDArray, int, IComplexFloat, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- chpr(char, char, int, INDArray, IComplexNDArray, int, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- chpr2(char, char, int, IComplexFloat, IComplexNDArray, int, IComplexNDArray, int, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- cleanup() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Deprecated.
- cleanup() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Cleanup resources
- clear() - Method in interface org.nd4j.linalg.compression.AbstractStorage
-
This method purges everything from storage
- clear() - Method in class org.nd4j.linalg.util.DeviceLocal
-
This method removes object stored for current device
- clearExternalAllocations() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- clearListener(OpProfiler.OpProfilerListener) - Method in class org.nd4j.linalg.profiler.OpProfiler
-
Clear the listener from the profiler
- clearNans(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Clear nans from an ndarray
- clearPinnedAllocations(boolean) - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- clone() - Method in class org.nd4j.linalg.compression.CompressionDescriptor
-
- clone() - Method in class org.nd4j.linalg.learning.config.AdaDelta
-
- clone() - Method in class org.nd4j.linalg.learning.config.AdaGrad
-
- clone() - Method in class org.nd4j.linalg.learning.config.Adam
-
- clone() - Method in class org.nd4j.linalg.learning.config.AdaMax
-
- clone() - Method in interface org.nd4j.linalg.learning.config.IUpdater
-
Clone the updater
- clone() - Method in class org.nd4j.linalg.learning.config.Nadam
-
- clone() - Method in class org.nd4j.linalg.learning.config.Nesterovs
-
- clone() - Method in class org.nd4j.linalg.learning.config.NoOp
-
- clone() - Method in class org.nd4j.linalg.learning.config.RmsProp
-
- clone() - Method in class org.nd4j.linalg.learning.config.Sgd
-
- close() - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
- close() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
- close() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- codecs - Variable in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
- Col2Im - Class in org.nd4j.linalg.api.ops.impl.transforms.convolution
-
Created by agibsonccc on 3/9/16.
- Col2Im() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.convolution.Col2Im
-
- Col2Im(INDArray, int, int, int, int, int, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.convolution.Col2Im
-
- Col2Im(INDArray, int, int, int, int, int, int, boolean, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.convolution.Col2Im
-
- col2im(INDArray, int[], int[], int, int) - Static method in class org.nd4j.linalg.convolution.Convolution
-
- col2im(INDArray, int, int, int, int, int, int) - Static method in class org.nd4j.linalg.convolution.Convolution
-
Rearrange matrix
columns into blocks
- col2im(INDArray, INDArray, int, int, int, int, int, int) - Static method in class org.nd4j.linalg.convolution.Convolution
-
- col2im(INDArray, int[], int[], int, int) - Static method in class org.nd4j.linalg.convolution.OldConvolution
-
- col2im(INDArray, int, int, int, int, int, int) - Static method in class org.nd4j.linalg.convolution.OldConvolution
-
Rearrange matrix
columns into blocks
- collect(INDArray...) - Method in class org.nd4j.linalg.memory.BasicMemoryManager
-
This method detaches off-heap memory from passed INDArray instances, and optionally stores them in cache for future reuse
PLEASE NOTE: Cache options depend on specific implementations
- collect(INDArray...) - Method in interface org.nd4j.linalg.memory.MemoryManager
-
This method detaches off-heap memory from passed INDArray instances, and optionally stores them in cache for future reuse
PLEASE NOTE: Cache options depend on specific implementations
- columns() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Number of columns (shape[1]), throws an exception when
called when not 2d
- columns() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the number of columns in this matrix (throws exception if not 2d)
- combineSubResults(double, double) - Method in interface org.nd4j.linalg.api.ops.Accumulation
-
Combine sub-results, when the Accumulation operation is split and executed in
parallel.
Sometimes this is the same as the update operation (i.e., in sum operation), but often
it is not (for example, in L2 norm, sqrt(1/n * sum_i x_i^2).
- combineSubResults(float, float) - Method in interface org.nd4j.linalg.api.ops.Accumulation
-
- combineSubResults(IComplexNumber, IComplexNumber) - Method in interface org.nd4j.linalg.api.ops.Accumulation
-
- combineSubResults(double, double) - Method in class org.nd4j.linalg.api.ops.BaseAccumulation
-
- combineSubResults(float, float) - Method in class org.nd4j.linalg.api.ops.BaseAccumulation
-
- combineSubResults(IComplexNumber, IComplexNumber) - Method in class org.nd4j.linalg.api.ops.BaseAccumulation
-
- combineSubResults(double, int, double, int) - Method in class org.nd4j.linalg.api.ops.BaseIndexAccumulation
-
- combineSubResults(float, int, float, int) - Method in class org.nd4j.linalg.api.ops.BaseIndexAccumulation
-
- combineSubResults(Pair<Double, Integer>, Pair<Double, Integer>) - Method in class org.nd4j.linalg.api.ops.BaseIndexAccumulation
-
- combineSubResults(double, double) - Method in class org.nd4j.linalg.api.ops.impl.accum.Bias
-
- combineSubResults(float, float) - Method in class org.nd4j.linalg.api.ops.impl.accum.Bias
-
- combineSubResults(IComplexNumber, IComplexNumber) - Method in class org.nd4j.linalg.api.ops.impl.accum.Bias
-
- combineSubResults(double, double) - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.EuclideanDistance
-
- combineSubResults(float, float) - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.EuclideanDistance
-
- combineSubResults(IComplexNumber, IComplexNumber) - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.EuclideanDistance
-
- combineSubResults(double, double) - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.ManhattanDistance
-
- combineSubResults(float, float) - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.ManhattanDistance
-
- combineSubResults(IComplexNumber, IComplexNumber) - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.ManhattanDistance
-
- combineSubResults(double, double) - Method in class org.nd4j.linalg.api.ops.impl.accum.Dot
-
- combineSubResults(float, float) - Method in class org.nd4j.linalg.api.ops.impl.accum.Dot
-
- combineSubResults(IComplexNumber, IComplexNumber) - Method in class org.nd4j.linalg.api.ops.impl.accum.Dot
-
- combineSubResults(double, double) - Method in class org.nd4j.linalg.api.ops.impl.accum.EqualsWithEps
-
- combineSubResults(float, float) - Method in class org.nd4j.linalg.api.ops.impl.accum.EqualsWithEps
-
- combineSubResults(IComplexNumber, IComplexNumber) - Method in class org.nd4j.linalg.api.ops.impl.accum.EqualsWithEps
-
- combineSubResults(double, double) - Method in class org.nd4j.linalg.api.ops.impl.accum.Mmul
-
- combineSubResults(float, float) - Method in class org.nd4j.linalg.api.ops.impl.accum.Mmul
-
- combineSubResults(IComplexNumber, IComplexNumber) - Method in class org.nd4j.linalg.api.ops.impl.accum.Mmul
-
- combineSubResults(double, double) - Method in class org.nd4j.linalg.api.ops.impl.accum.Norm1
-
- combineSubResults(float, float) - Method in class org.nd4j.linalg.api.ops.impl.accum.Norm1
-
- combineSubResults(IComplexNumber, IComplexNumber) - Method in class org.nd4j.linalg.api.ops.impl.accum.Norm1
-
- combineSubResults(double, double) - Method in class org.nd4j.linalg.api.ops.impl.accum.Norm2
-
- combineSubResults(float, float) - Method in class org.nd4j.linalg.api.ops.impl.accum.Norm2
-
- combineSubResults(IComplexNumber, IComplexNumber) - Method in class org.nd4j.linalg.api.ops.impl.accum.Norm2
-
- combineSubResults(double, double) - Method in class org.nd4j.linalg.api.ops.impl.accum.TensorMmul
-
- combineSubResults(float, float) - Method in class org.nd4j.linalg.api.ops.impl.accum.TensorMmul
-
- combineSubResults(IComplexNumber, IComplexNumber) - Method in class org.nd4j.linalg.api.ops.impl.accum.TensorMmul
-
- combineSubResults(double, double) - Method in class org.nd4j.linalg.api.ops.impl.accum.Variance
-
- combineSubResults(float, float) - Method in class org.nd4j.linalg.api.ops.impl.accum.Variance
-
- combineSubResults(IComplexNumber, IComplexNumber) - Method in class org.nd4j.linalg.api.ops.impl.accum.Variance
-
- combineSubResults(double, int, double, int) - Method in interface org.nd4j.linalg.api.ops.IndexAccumulation
-
Combine sub-results, when the index accumulation is split and executed in parallel.
- combineSubResults(float, int, float, int) - Method in interface org.nd4j.linalg.api.ops.IndexAccumulation
-
- combineSubResults(Pair<Double, Integer>, Pair<Double, Integer>) - Method in interface org.nd4j.linalg.api.ops.IndexAccumulation
-
- commit() - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- commit() - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
This method ensures all operations that supposed to be executed at this moment, are executed and finished.
- comparable - Variable in class org.nd4j.linalg.api.ops.impl.transforms.And
-
- comparable - Variable in class org.nd4j.linalg.api.ops.impl.transforms.Not
-
- comparable - Variable in class org.nd4j.linalg.api.ops.impl.transforms.Or
-
- comparable - Variable in class org.nd4j.linalg.api.ops.impl.transforms.Xor
-
- ComparableAtomicLong - Class in org.nd4j.linalg.profiler.data.primitives
-
- ComparableAtomicLong() - Constructor for class org.nd4j.linalg.profiler.data.primitives.ComparableAtomicLong
-
- ComparableAtomicLong(long) - Constructor for class org.nd4j.linalg.profiler.data.primitives.ComparableAtomicLong
-
- compare - Variable in class org.nd4j.linalg.api.ops.impl.indexaccum.FirstIndex
-
- compare - Variable in class org.nd4j.linalg.api.ops.impl.indexaccum.LastIndex
-
- compare(StackNode, StackNode) - Method in class org.nd4j.linalg.profiler.data.primitives.StackComparator
-
- CompareAndReplace - Class in org.nd4j.linalg.api.ops.impl.transforms.comparison
-
Element-wise Compare-and-Replace implementation as Op
Basically this op does the same as Compare-and-Set, but op.X is checked against Condition instead
- CompareAndReplace() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndReplace
-
- CompareAndReplace(INDArray, INDArray, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndReplace
-
With this constructor, op will check each X element against given Condition, and if condition met, element Z will be set to Y value, and X otherwise
PLEASE NOTE: X will be modified inplace.
- CompareAndReplace(INDArray, INDArray, INDArray, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndReplace
-
With this constructor, op will check each X element against given Condition, and if condition met, element Z will be set to Y value, and X otherwise
Pseudocode:
z[i] = condition(x[i]) ? y[i] : x[i];
- CompareAndSet - Class in org.nd4j.linalg.api.ops.impl.transforms.comparison
-
Element-wise Compare-and-set implementation as Op
Please check javadoc to specific constructors, for detail information.
- CompareAndSet() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet
-
- CompareAndSet(INDArray, double, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet
-
- CompareAndSet(INDArray, double, double, double, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet
-
- CompareAndSet(INDArray, double, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet
-
With this constructor, op will check each X element against given Condition, and if condition met, element will be replaced with Set value
Pseudocode:
z[i] = condition(x[i]) ? set : x[i];
PLEASE NOTE: X will be modified inplace.
- CompareAndSet(INDArray, INDArray, double, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet
-
With this constructor, op will check each X element against given Condition, and if condition met, element will be replaced with Set value
Pseudocode:
z[i] = condition(x[i]) ? set : x[i];
- CompareAndSet(INDArray, INDArray, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet
-
With this constructor, op will check each Y element against given Condition, and if condition met, element Z will be set to Y value, and X otherwise
PLEASE NOTE: X will be modified inplace.
- CompareAndSet(INDArray, INDArray, INDArray, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet
-
With this constructor, op will check each Y element against given Condition, and if condition met, element Z will be set to Y value, and X otherwise
Pseudocode:
z[i] = condition(y[i]) ? y[i] : x[i];
- CompareAndSet(INDArray, INDArray, double, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet
-
This constructor is shortcut to epsEquals.
- CompareAndSet(INDArray, INDArray, double, double, double, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet
-
This constructor is shortcut to epsEquals.
- compareTo(StridePermutation) - Method in class org.nd4j.linalg.api.shape.StridePermutation
-
- compareTo(ComparableAtomicLong) - Method in class org.nd4j.linalg.profiler.data.primitives.ComparableAtomicLong
-
- compareTo(StackNode) - Method in class org.nd4j.linalg.profiler.data.primitives.StackNode
-
- compareTo(TimeSet) - Method in class org.nd4j.linalg.profiler.data.primitives.TimeSet
-
- complexFlatten(IComplexNDArray[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- complexFlatten(List<IComplexNDArray>) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- complexFlatten(List<IComplexNDArray>) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a long row vector of all of the given ndarrays
- complexFlatten(IComplexNDArray...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a long row vector of all of the given ndarrays
- complexFlatten(List<IComplexNDArray>) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- complexFlatten(IComplexNDArray[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- complexLinSpace(int, int, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Linspace with complex numbers
- ComplexNDArrayUtil - Class in org.nd4j.linalg.util
-
IComplexNDArray operations
- ComplexNDArrayUtil() - Constructor for class org.nd4j.linalg.util.ComplexNDArrayUtil
-
- complexNumber - Variable in class org.nd4j.linalg.api.ops.BaseScalarOp
-
- complexNumber - Variable in class org.nd4j.linalg.indexing.conditions.BaseCondition
-
- complexNumbersFor(float[][]) - Static method in class org.nd4j.linalg.util.ComplexUtil
-
Create complex number where the
- complexNumbersFor(double[][]) - Static method in class org.nd4j.linalg.util.ComplexUtil
-
Create complex number where the
- complexNumbersFor(float[]) - Static method in class org.nd4j.linalg.util.ComplexUtil
-
Create complex number where the
- complexNumbersFor(double[]) - Static method in class org.nd4j.linalg.util.ComplexUtil
-
Create complex number where the
- complexOnes(int, int) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray
- complexOnes(int) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray
- complexOnes(int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create an ndarray of ones
- complexOnes(int, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray
- complexOnes(int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray
- complexOnes(int...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an ndarray of ones
- complexOnes(int, int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray
- complexOnes(int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray
- complexOnes(int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create an ndarray of ones
- complexRand(int...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a random ndarray with the given shape using
the current time as the seed
- complexScalar() - Method in class org.nd4j.linalg.api.ops.BaseScalarOp
-
- complexScalar() - Method in interface org.nd4j.linalg.api.ops.ScalarOp
-
The complex scalar
- complexScalar(Number, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a scalar ndarray with the specified offset
- complexScalar(Number) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a scalar ndarray with the specified offset
- complexScalar(Number, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a scalar ndarray with the specified offset
- complexScalar(Number) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a scalar ndarray with the specified offset
- complexScalar(Number, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a scalar ndarray with the specified offset
- complexScalar(Number) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a scalar ndarray with the specified offset
- ComplexUtil - Class in org.nd4j.linalg.util
-
- complexValueOf(int[], IComplexNumber) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an shape ndarray with the specified value
- complexValueOf(int, double) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an 1 x num ndarray with the specified value
- complexValueOf(int[], double) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an shape ndarray with the specified value
- complexValueOf(int, IComplexNumber) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an 1 x num ndarray with the specified value
- complexValueOf(int, IComplexNumber) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- complexValueOf(int[], IComplexNumber) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- complexValueOf(int, double) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- complexValueOf(int[], double) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- complexValueOf(int, IComplexNumber) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an 1 x num ndarray with the specified value
- complexValueOf(int[], IComplexNumber) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an shape ndarray with the specified value
- complexValueOf(int, double) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an 1 x num ndarray with the specified value
- complexValueOf(int[], double) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an shape ndarray with the specified value
- complexZeros(int, int) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates a matrix of zeros
- complexZeros(int) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray
- complexZeros(int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create an ndarray of ones
- complexZeros(int, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a matrix of zeros
- complexZeros(int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray
- complexZeros(int...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an ndarray of ones
- complexZeros(int, int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a matrix of zeros
- complexZeros(int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray
- complexZeros(int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create an ndarray of ones
- compress(DataBuffer) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
Compress the given data buffer
given the default compression algorithm
- compress(DataBuffer, String) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
Compress the data buffer
given a specified algorithm
- compress(INDArray) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
- compress(INDArray, String) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
Returns a compressed version of the
given ndarray
- compress(float[]) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
This method returns compressed INDArray instance which contains JVM array passed in
- compress(double[]) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
This method returns compressed INDArray instance which contains JVM array passed in
- compress(INDArray) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor
-
This method returns compressed copy of referenced array
- compress(DataBuffer) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor
-
- compress(float[]) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor
-
This method creates compressed INDArray from Java float array, skipping usual INDArray instantiation routines
Please note: This method compresses input data as vector
- compress(double[]) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor
-
This method creates compressed INDArray from Java double array, skipping usual INDArray instantiation routines
Please note: This method compresses input data as vector
- compress(float[], int[], char) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor
-
This method creates compressed INDArray from Java float array, skipping usual INDArray instantiation routines
- compress(double[], int[], char) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor
-
This method creates compressed INDArray from Java double array, skipping usual INDArray instantiation routines
- compressDebug - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- compressed - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- CompressedDataBuffer - Class in org.nd4j.linalg.compression
-
- CompressedDataBuffer(Pointer, CompressionDescriptor) - Constructor for class org.nd4j.linalg.compression.CompressedDataBuffer
-
- compressi(INDArray) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
In place compression of the passed in ndarray
with the default compression algorithm
- compressi(INDArray, String) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
In place Compress the given ndarray
with the given algorithm
- compressi(INDArray) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor
-
Inplace compression of INDArray
- COMPRESSION_BYTE_BUFFER_LENGTH - Static variable in class org.nd4j.linalg.compression.CompressionDescriptor
-
- COMPRESSION_DEBUG - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- CompressionAlgorithm - Enum in org.nd4j.linalg.compression
-
Compression algorithm enum
- compressionDescriptor - Variable in class org.nd4j.linalg.compression.CompressedDataBuffer
-
- CompressionDescriptor - Class in org.nd4j.linalg.compression
-
A compression descriptor containing the
compression type, compression algorithm,
original length, compressed length,
number of elements, and the original
element size
- CompressionDescriptor() - Constructor for class org.nd4j.linalg.compression.CompressionDescriptor
-
- CompressionDescriptor(DataBuffer) - Constructor for class org.nd4j.linalg.compression.CompressionDescriptor
-
Create a compression descriptor from the given
data buffer elements
- CompressionDescriptor(DataBuffer, String) - Constructor for class org.nd4j.linalg.compression.CompressionDescriptor
-
Initialize a compression descriptor
based on the given algorithm and data buffer
- CompressionDescriptor(DataBuffer, NDArrayCompressor) - Constructor for class org.nd4j.linalg.compression.CompressionDescriptor
-
Initialize a compression descriptor
based on the given data buffer (for the sizes)
and the compressor to get the type
- CompressionType - Enum in org.nd4j.linalg.compression
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in interface org.nd4j.linalg.lossfunctions.ILossFunction
-
Compute the gradient of the loss function with respect to the inputs: dL/dOutput
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossCosineProximity
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossFMeasure
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossHinge
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossKLD
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL1
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL2
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAE
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAPE
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMCXENT
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity
-
This method returns the gradient of the cost function with respect to the
output from the previous layer.
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSE
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSLE
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossPoisson
-
- computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossSquaredHinge
-
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in interface org.nd4j.linalg.lossfunctions.ILossFunction
-
Compute both the score (loss function value) and gradient.
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT
-
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossCosineProximity
-
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossFMeasure
-
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossHinge
-
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossKLD
-
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL1
-
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL2
-
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAPE
-
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMCXENT
-
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity
-
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSLE
-
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossPoisson
-
- computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossSquaredHinge
-
- computeOut() - Method in class org.nd4j.linalg.api.shape.loop.four.RawArrayIterationInformation4
-
- computeOut() - Method in class org.nd4j.linalg.api.shape.loop.one.RawArrayIterationInformation1
-
- computeOut() - Method in class org.nd4j.linalg.api.shape.loop.three.RawArrayIterationInformation3
-
- computeOut() - Method in class org.nd4j.linalg.api.shape.loop.two.RawArrayIterationInformation2
-
Resolve the new
strides/shapes
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in interface org.nd4j.linalg.lossfunctions.ILossFunction
-
Compute the score (loss function value) for the given inputs.
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossCosineProximity
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossFMeasure
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossHinge
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossKLD
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL1
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL2
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAE
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAPE
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMCXENT
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity
-
Computes the aggregate score as a sum of all of the individual scores of
each of the labels against each of the outputs of the network.
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSE
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSLE
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossPoisson
-
- computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossSquaredHinge
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in interface org.nd4j.linalg.lossfunctions.ILossFunction
-
Compute the score (loss function value) for each example individually.
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossCosineProximity
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossFMeasure
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossHinge
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossKLD
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL1
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL2
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAE
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAPE
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMCXENT
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity
-
This method returns the score for each of the given outputs against the
given set of labels.
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSE
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSLE
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossPoisson
-
- computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossSquaredHinge
-
- concat(int, INDArray...) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
concatenate ndarrays along a dimension
- concat(int, IComplexNDArray...) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
concatenate ndarrays along a dimension
- concat(int, INDArray...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Concatneate ndarrays along a dimension
- concat(int, IComplexNDArray...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Concatneate ndarrays along a dimension
- concat(int, INDArray...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Concatneate ndarrays along a dimension
- concat(int, IComplexNDArray...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Concatneate ndarrays along a dimension
- cond(Condition) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- cond(Condition) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
1 in an ndarray when condition is fulfilled,
0 otherwise(copying)(
- cond(Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- cond(Condition) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
1 in the ndarray if the element matches
the condition 0 otherwise
- condi(Condition) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- condi(Condition) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
1 in an ndarray when condition is fulfilled,
0 otherwise(copying)(
- condi(Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- condi(Condition) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
In-place: 1 in the ndarray if the element matches the condition 0 otherwise
- condition - Variable in class org.nd4j.linalg.api.ops.impl.indexaccum.FirstIndex
-
- condition - Variable in class org.nd4j.linalg.api.ops.impl.indexaccum.LastIndex
-
- Condition - Interface in org.nd4j.linalg.indexing.conditions
-
Condition for boolean indexing
- ConditionBuilder - Class in org.nd4j.linalg.indexing.conditions
-
Mini dsl for building conditions
- ConditionBuilder() - Constructor for class org.nd4j.linalg.indexing.conditions.ConditionBuilder
-
- ConditionEquals - Class in org.nd4j.linalg.indexing.conditions
-
Returns true when all of the conditions equal each other
- ConditionEquals(Condition...) - Constructor for class org.nd4j.linalg.indexing.conditions.ConditionEquals
-
- Conditions - Class in org.nd4j.linalg.indexing.conditions
-
Static class for conditions
- Conditions() - Constructor for class org.nd4j.linalg.indexing.conditions.Conditions
-
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.AbsValueGreaterOrEqualsThan
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.AbsValueGreaterThan
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.AbsValueLessOrEqualsThan
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.AbsValueLessThan
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.And
-
Returns condition ID for native side
- condtionNum() - Method in interface org.nd4j.linalg.indexing.conditions.Condition
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.ConditionEquals
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.EpsilonEquals
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.EpsilonNotEquals
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.EqualsCondition
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.GreaterThan
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.GreaterThanOrEqual
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.IsInfinite
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.IsNaN
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.LessThan
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.LessThanOrEqual
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.Not
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.NotEqualsCondition
-
Returns condition ID for native side
- condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.Or
-
Returns condition ID for native side
- configure(Object...) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor
-
This method allows to pass compressor-dependent configuration options to this compressor
PLEASE NOTE: Each compressor has own options, please check corresponding implementations javadoc
- conj() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Compute complex conj.
- conj() - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Compute complex conj.
- conji() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Compute complex conj (in-place).
- conji() - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Compute complex conj (in-place).
- CONSTANT_PROVIDER - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- ConstantHandler - Interface in org.nd4j.linalg.cache
-
This interface describes
memory reuse strategy
for java-originated arrays.
- constantHandler - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- constantProviderClazz - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- consume(StackDescriptor, int) - Method in class org.nd4j.linalg.profiler.data.primitives.StackNode
-
- consume(StackDescriptor, int, long) - Method in class org.nd4j.linalg.profiler.data.primitives.StackNode
-
- consumeStackTrace(StackDescriptor) - Method in class org.nd4j.linalg.profiler.data.primitives.StackTree
-
- consumeStackTrace(StackDescriptor, long) - Method in class org.nd4j.linalg.profiler.data.primitives.StackTree
-
- contains(String) - Method in interface org.nd4j.linalg.dataset.api.iterator.cache.DataSetCache
-
- contains(String) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InFileAndMemoryDataSetCache
-
- contains(String) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InFileDataSetCache
-
- contains(String) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InMemoryDataSetCache
-
- containsKey(T) - Method in interface org.nd4j.linalg.compression.AbstractStorage
-
This method checks, if storage contains specified key
- contentEquals(int[], DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Compare the contents of a buffer and
an array for equals
- contentEquals(int[], IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Compare the contents of a buffer and
an array for equals
- conv2d(INDArray, INDArray, Convolution.Type) - Method in class org.nd4j.linalg.convolution.BaseConvolution
-
2d convolution (aka the last 2 dimensions
- conv2d(IComplexNDArray, IComplexNDArray, Convolution.Type) - Method in class org.nd4j.linalg.convolution.BaseConvolution
-
- conv2d(INDArray, INDArray, Convolution.Type) - Static method in class org.nd4j.linalg.convolution.Convolution
-
2d convolution (aka the last 2 dimensions
- conv2d(IComplexNDArray, IComplexNDArray, Convolution.Type) - Static method in class org.nd4j.linalg.convolution.Convolution
-
- conv2d(INDArray, INDArray, Convolution.Type) - Method in interface org.nd4j.linalg.convolution.ConvolutionInstance
-
2d convolution (aka the last 2 dimensions
- conv2d(IComplexNDArray, IComplexNDArray, Convolution.Type) - Method in interface org.nd4j.linalg.convolution.ConvolutionInstance
-
- convertBackToFeatures(INDArray) - Method in class org.nd4j.linalg.dimensionalityreduction.PCA
-
Take the data that has been transformed to the principal components about the mean and
transform it back into the original feature set.
- convertDataEx(DataBuffer.TypeEx, INDArray, DataBuffer.TypeEx) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- convertDataEx(DataBuffer.TypeEx, DataBuffer, DataBuffer.TypeEx) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- convertDataEx(DataBuffer.TypeEx, DataBuffer, DataBuffer.TypeEx, DataBuffer) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- convertDataEx(DataBuffer.TypeEx, Pointer, DataBuffer.TypeEx, Pointer, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- convertFromApacheMatrix(RealMatrix) - Static method in class org.nd4j.linalg.checkutil.CheckUtil
-
- convertToApacheMatrix(INDArray) - Static method in class org.nd4j.linalg.checkutil.CheckUtil
-
- convertToComponents(INDArray) - Method in class org.nd4j.linalg.dimensionalityreduction.PCA
-
Takes a set of data on each row, with the same number of features as the constructing data
and returns the data in the coordinates of the basis set about the mean.
- convn(INDArray, INDArray, Convolution.Type) - Method in class org.nd4j.linalg.convolution.BaseConvolution
-
ND Convolution
- convn(IComplexNDArray, IComplexNDArray, Convolution.Type) - Method in class org.nd4j.linalg.convolution.BaseConvolution
-
ND Convolution
- convn(INDArray, INDArray, Convolution.Type, int[]) - Static method in class org.nd4j.linalg.convolution.Convolution
-
ND Convolution
- convn(IComplexNDArray, IComplexNDArray, Convolution.Type, int[]) - Static method in class org.nd4j.linalg.convolution.Convolution
-
ND Convolution
- convn(INDArray, INDArray, Convolution.Type) - Static method in class org.nd4j.linalg.convolution.Convolution
-
ND Convolution
- convn(IComplexNDArray, IComplexNDArray, Convolution.Type) - Static method in class org.nd4j.linalg.convolution.Convolution
-
ND Convolution
- convn(INDArray, INDArray, Convolution.Type, int[]) - Method in interface org.nd4j.linalg.convolution.ConvolutionInstance
-
ND Convolution
- convn(IComplexNDArray, IComplexNDArray, Convolution.Type, int[]) - Method in interface org.nd4j.linalg.convolution.ConvolutionInstance
-
ND Convolution
- convn(INDArray, INDArray, Convolution.Type) - Method in interface org.nd4j.linalg.convolution.ConvolutionInstance
-
ND Convolution
- convn(IComplexNDArray, IComplexNDArray, Convolution.Type) - Method in interface org.nd4j.linalg.convolution.ConvolutionInstance
-
ND Convolution
- convn(IComplexNDArray, IComplexNDArray, Convolution.Type, int[]) - Method in class org.nd4j.linalg.convolution.DefaultConvolutionInstance
-
ND Convolution
- convn(INDArray, INDArray, Convolution.Type, int[]) - Method in class org.nd4j.linalg.convolution.DefaultConvolutionInstance
-
ND Convolution
- Convolution - Class in org.nd4j.linalg.convolution
-
Convolution is the
code for applying
the convolution operator.
- Convolution.Type - Enum in org.nd4j.linalg.convolution
-
- CONVOLUTION_INSTANCE - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- CONVOLUTION_OPS - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- ConvolutionInstance - Interface in org.nd4j.linalg.convolution
-
Convolution instance.
- convolutionInstanceClazz - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- CoordinateFunction - Interface in org.nd4j.linalg.api.shape.loop.coordinatefunction
-
Coordinate function for handling
1 or more calls based on a set of coordinates
- copy(INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
swaps a vector with another vector.
- copy(int, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
copy a vector to another vector.
- copy(IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
copy a vector to another vector.
- copy(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level1
-
copy a vector to another vector.
- copy(int, DataBuffer, int, int, DataBuffer, int, int) - Method in interface org.nd4j.linalg.api.blas.Level1
-
copy a vector to another vector.
- copy(IComplexNDArray, IComplexNDArray) - Method in interface org.nd4j.linalg.api.blas.Level1
-
- copy() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Create a copy of the DataSet
- copy() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Clone the dataset
- copy() - Method in class org.nd4j.linalg.dataset.DataSet
-
Clone the dataset
- copy() - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
Clone the dataset
- copy(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- copy(IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- copy(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Copy a to b
- copy(INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Compute y <- x (copy a matrix)
- copy(IComplexNDArray, IComplexNDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
- copy(INDArray, INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Copy a to b
- copy(INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Copy a to b
- COPY_OPS - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- CopyCoordinateFunction - Class in org.nd4j.linalg.api.shape.loop.coordinatefunction
-
Created by agibsonccc on 9/15/15.
- CopyCoordinateFunction(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.shape.loop.coordinatefunction.CopyCoordinateFunction
-
- copyFromReal(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- copyImagTo(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Copy imaginary numbers to the given
ndarray
- CopyLoopFunction - Class in org.nd4j.linalg.api.shape.loop.two
-
Created by agibsonccc on 9/14/15.
- CopyLoopFunction() - Constructor for class org.nd4j.linalg.api.shape.loop.two.CopyLoopFunction
-
- copyOnOps - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- CopyOp - Class in org.nd4j.linalg.api.ops.impl.transforms.arithmetic
-
Copy operation
- CopyOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.CopyOp
-
- CopyOp(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.CopyOp
-
- CopyOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.CopyOp
-
- CopyOp(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.CopyOp
-
- CopyOp(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.CopyOp
-
- CopyOp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.CopyOp
-
- copyRealTo(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Copy real numbers to arr
- cOrFortranOrder(int[], int[], int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Infer order from
- Cos - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Cosine elementwise function
- Cos() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cos
-
- Cos(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cos
-
- Cos(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cos
-
- Cos(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cos
-
- Cos(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cos
-
- cos(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- cos(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- cos(IComplexNumber) - Static method in class org.nd4j.linalg.util.ComplexUtil
-
Return the cos of a complex number
- Cosh - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Cosine Hyperbolic elementwise function
- Cosh() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cosh
-
- Cosh(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cosh
-
- Cosh(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cosh
-
- Cosh(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cosh
-
- Cosh(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cosh
-
- cosh(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- cosh(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- CosineDistance - Class in org.nd4j.linalg.api.ops.impl.accum.distances
-
Cosine distance
Note that you need to initialize
a scaling constant equal to the norm2 of the
vector
- CosineDistance() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.CosineDistance
-
- CosineDistance(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.CosineDistance
-
- CosineDistance(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.CosineDistance
-
- CosineDistance(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.CosineDistance
-
- CosineDistance(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.CosineDistance
-
- CosineDistance(INDArray, INDArray, INDArray, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.CosineDistance
-
- CosineDistance(INDArray, INDArray, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.CosineDistance
-
- cosineDistance(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- cosineSim(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Cosine similarity
- CosineSimilarity - Class in org.nd4j.linalg.api.ops.impl.accum.distances
-
Cosine similarity
Note that you need to initialize
a scaling constant equal to the norm2 of the
vector
- CosineSimilarity() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.CosineSimilarity
-
- CosineSimilarity(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.CosineSimilarity
-
- CosineSimilarity(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.CosineSimilarity
-
- CosineSimilarity(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.CosineSimilarity
-
- CosineSimilarity(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.CosineSimilarity
-
- CosineSimilarity(INDArray, INDArray, INDArray, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.CosineSimilarity
-
- CosineSimilarity(INDArray, INDArray, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.CosineSimilarity
-
- counter - Variable in class org.nd4j.linalg.profiler.data.primitives.StackNode
-
- covarianceMatrix(INDArray) - Static method in class org.nd4j.linalg.dimensionalityreduction.PCA
-
Returns the covariance matrix of a data set of many records, each with N features.
- CPU_CORES_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment
-
- create(DataBuffer, int[], int[]) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- create(BaseNDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- create(int[]) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- create(int[], int[], long) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- create(DataBuffer, int[], int[], long, char) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- create(DataBuffer, int[], int[], long) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- create(int[], char) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- create(DataBuffer) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- create(int, int) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- create(DataBuffer, int[], long) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- create(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- create(DataBuffer, int[], long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- create(DataBuffer, int[], int[], long, char) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- create(DataBuffer, int[], int[], long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- create(int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- create(int[], int[], long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- create(DataBuffer) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- create(int[], char) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- create(DataBuffer, int[], int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- create(int, int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- create(BaseNDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- create(int[]) - Static method in class org.nd4j.linalg.api.shape.StridePermutation
-
Create an array of these from the given stride
- create(long) - Method in class org.nd4j.linalg.compression.CompressedDataBuffer
-
Create with length
- create(double[]) - Method in class org.nd4j.linalg.compression.CompressedDataBuffer
-
Create the data buffer
with respect to the given byte buffer
- create(float[]) - Method in class org.nd4j.linalg.compression.CompressedDataBuffer
-
Create the data buffer
with respect to the given byte buffer
- create(int[]) - Method in class org.nd4j.linalg.compression.CompressedDataBuffer
-
Create the data buffer
with respect to the given byte buffer
- create() - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIteratorFactory
-
- create() - Method in interface org.nd4j.linalg.dataset.api.iterator.MultiDataSetIteratorFactory
-
- create(int[], DataBuffer.Type) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(int[], int[], int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(int, int, char) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(double[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates a row vector with the data
- create(float[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates a row vector with the data
- create(int) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates a row vector with the specified number of columns
- create(int[], int[], long, char) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(float[], int[], char) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(float[], int, int, int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray with the specified shape
- create(float[], int[], int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray with the specified shape
- create(double[], int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create an ndrray with the specified shape
- create(float[], int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create an ndrray with the specified shape
- create(double[], int, int, int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray with the specified shape
- create(double[], int[], int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray with the specified shape
- create(List<INDArray>, int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray with the specified shape
- create(int, int, int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray with the specified shape
- create(int[], int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray with the specified shape
- create(int, int, int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray with the specified shape
- create(int[], int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray with the specified shape
- create(int, int) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray with the specified shape
- create(int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray with the specified shape
- create(float[], int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(float[], char) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(float[], int[], int[], char, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(double[], char) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(double[], int[], int[], char, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(DataBuffer, int[], int[], char, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(int[], int[], int[], char, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(int[], float[]...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an ndarray based on the given data
- create(int[], double[]...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an ndarray based on the given data
- create(float[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a row vector with the data
- create(double[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a row vector with the data
- create(float[][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(float[][], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(double[][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an ndarray based on the given data layout
- create(double[][], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a row vector with the specified number of columns
- create(float[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a row vector with the data
- create(double[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a row vector with the data
- create(int, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a row vector with the specified number of columns
- create(float[], int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an ndrray with the specified shape
- create(double[], int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an ndrray with the specified shape
- create(double[], int[], int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(float[], int, int, int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(double[], int, int, int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(float[], int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(double[], int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(float[], int[], int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(List<INDArray>, int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(int, int, int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(int[], int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(int, int, int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(int[], int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(int, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(int...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(float[], int[], int[], char, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(float[], int[], char, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(DataBuffer, int[], int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(DataBuffer, int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(DataBuffer, int[], int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(DataBuffer, int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(DataBuffer) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(float[], int, int, int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(int[], DataBuffer.Type) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(double[], int[], int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(double[], int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an ndrray with the specified shape
- create(float[], int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an ndrray with the specified shape
- create(double[], int, int, int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(float[], int[], int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(List<INDArray>, int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(int, int, int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(int[], int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(int, int, int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(int[], int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(int, int, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(double[], int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(int[], DataBuffer) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create an ndarray with the given shape
and data
- create(double[][]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create an ndarray with the given data layout
- create(double[][], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(double[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a row vector with the data
- create(float[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a row vector with the data
- create(DataBuffer) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a row vector with the data
- create(int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a row vector with the specified number of columns
- create(DataBuffer, int, int, int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray with the specified shape
- create(float[], int, int, int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(float[], int[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray with the specified shape
- create(double[], int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create an ndrray with the specified shape
- create(float[], int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create an ndrray with the specified shape
- create(double[], int, int, int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray with the specified shape
- create(double[], int[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray with the specified shape
- create(DataBuffer, int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create an ndrray with the specified shape
- create(DataBuffer, int[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray with the specified shape
- create(List<INDArray>, int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray with the specified shape
- create(int, int, int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray with the specified shape
- create(int[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray with the specified shape
- create(int, int, int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray with the specified shape
- create(int[], int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray with the specified shape
- create(int, int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray with the specified shape
- create(int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray with the specified shape
- create(float[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(float[], int[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(float[][]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(float[][], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(float[], int[], int[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(DataBuffer, int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(int[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(DataBuffer, int[], int[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(float[], int[], long, Character) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(float[], int, int, int[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(double[], int[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(List<INDArray>, int[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(double[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(double[], int[], int[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(int[], int[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(int[], int[], int[], char, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(int, int, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(int[], DataBuffer.Type) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(float[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(float[], int[], int[], char, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(DataBuffer, int[], int[], char, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(double[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(double[], int[], int[], char, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(int[], int[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(INDArray) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
-
Create from a matrix.
- createAccum(String, INDArray) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createAccum(String, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createAccum(String, INDArray, INDArray, INDArray, Object[]) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createAccum(String, INDArray, INDArray) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createAccum(String, INDArray) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
Accumulation operation
- createAccum(String, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
Accumulation operation
- createAccum(String, INDArray, INDArray, INDArray, Object[]) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
- createAccum(String, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
- createArrayFromShapeBuffer(DataBuffer, DataBuffer) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createArrayFromShapeBuffer(DataBuffer, Pair<DataBuffer, int[]>) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createBinomial(int, INDArray) - Method in class org.nd4j.linalg.api.rng.distribution.factory.DefaultDistributionFactory
-
- createBinomial(int, double) - Method in class org.nd4j.linalg.api.rng.distribution.factory.DefaultDistributionFactory
-
- createBinomial(int, INDArray) - Method in interface org.nd4j.linalg.api.rng.distribution.factory.DistributionFactory
-
Create a distribution
- createBinomial(int, double) - Method in interface org.nd4j.linalg.api.rng.distribution.factory.DistributionFactory
-
Create a distribution
- createBlas() - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create blas
- createBroadcastOp(String, INDArray, INDArray, INDArray, int...) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createBroadcastOp(String, INDArray, INDArray, INDArray, Object[], int...) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createBroadcastOp(String, INDArray, INDArray, int...) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createBroadcastOp(String, INDArray, INDArray, INDArray, int...) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
Create a vector operation
- createBroadcastOp(String, INDArray, INDArray, INDArray, Object[], int...) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
- createBroadcastOp(String, INDArray, INDArray, int...) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
Create a vector operation
- createBuffer(DataBuffer, long, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a view of a data buffer
that leverages the underlying storage of the buffer
with a new view
- createBuffer(int[], DataBuffer.Type, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a buffer equal of length prod(shape)
- createBuffer(ByteBuffer, DataBuffer.Type, int, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a buffer of the specified type
and length with the given byte buffer.
- createBuffer(byte[], int, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a buffer based on the data type
- createBuffer(int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a buffer equal of length prod(shape)
- createBuffer(int, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a buffer of the specified length based on the data type
- createBuffer(DoublePointer, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a double data type buffer
of the specified length
- createBuffer(FloatPointer, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a float type
data buffer of the given length
- createBuffer(IntPointer, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an int data buffer
from the given pointer
and the given length
- createBuffer(float[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a buffer based on the data type
- createBuffer(double[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a buffer based on the data type
- createBuffer(int[], DataBuffer.Type) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a buffer equal of length prod(shape)
- createBuffer(ByteBuffer, DataBuffer.Type, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a buffer of the specified type
and length with the given byte buffer.
- createBuffer(byte[], int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a buffer based on the data type
- createBuffer(int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a buffer equal of length prod(shape)
- createBuffer(long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a buffer of the specified length based on the data type
- createBuffer(Pointer, DataBuffer.Type, long, Indexer) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a data buffer
based on a pointer
with the given type and length
- createBuffer(long, boolean) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createBuffer(float[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a buffer based on the data type
- createBuffer(double[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a buffer based on the data type
- createBufferDetached(int[], DataBuffer.Type) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createBufferDetached(int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a buffer equal of length prod(shape).
- createBufferDetached(float[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createBufferDetached(double[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createComplex(int[], int[], int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- createComplex(INDArray) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a complex ndarray from the passed in indarray
- createComplex(IComplexNumber[], int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a complex ndarray from the passed in indarray
- createComplex(List<IComplexNDArray>, int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a complex ndarray from the passed in indarray
- createComplex(double[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray with the specified data
- createComplex(int) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray
- createComplex(int[], int[], long, char) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- createComplex(float[], int, int, int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(float[], int[], int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(double[], int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create an ndrray with the specified shape
- createComplex(float[], int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create an ndrray with the specified shape
- createComplex(double[], int[], int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create an ndrray with the specified shape
- createComplex(float[], int[], int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create an ndrray with the specified shape
- createComplex(double[], int, int, int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(double[], int[], int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(int, int, int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(int[], int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(int, int, int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(int[], int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(int, int) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(double[], int[], int[], long, char) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a complex ndarray with the given data
- createComplex(double[], int[], long, char) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- createComplex(double[], int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- createComplex(float[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified data
- createComplex(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a complex ndarray from the passed in indarray
- createComplex(int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray
- createComplex(INDArray, INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a complex ndarray based on the
real and imaginary
- createComplex(IComplexNumber[], int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a complex ndarray from the passed in indarray
- createComplex(List<IComplexNDArray>, int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a complex ndarray from the passed in indarray
- createComplex(double[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified data
- createComplex(int, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray
- createComplex(IComplexNumber[], int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a complex ndarray from the passed in indarray
- createComplex(float[], int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an ndrray with the specified shape
- createComplex(double[], int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an ndrray with the specified shape
- createComplex(float[], int[], int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an ndrray with the specified shape
- createComplex(double[], int[], int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an ndrray with the specified shape
- createComplex(float[], int[], int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(double[], int[], int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(float[], int, int, int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(double[], int, int, int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(int, int, int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(int[], int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(int, int, int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(int[], int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(int, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(int...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(DataBuffer, int[], int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createComplex(DataBuffer, int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createComplex(DataBuffer, int[], int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createComplex(DataBuffer, int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createComplex(DataBuffer, int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createComplex(IComplexNumber[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a complex array from the given numbers
- createComplex(IComplexNumber[][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a complex ndarray based on the specified matrices
- createComplex(float[], int, int, int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(float[], int[], int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(float[], int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an ndrray with the specified shape
- createComplex(double[], int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an ndrray with the specified shape
- createComplex(float[], int[], int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an ndrray with the specified shape
- createComplex(double[], int[], int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an ndrray with the specified shape
- createComplex(double[], int, int, int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(double[], int[], int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(int, int, int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(int[], int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(int, int, int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(int[], int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(int, int, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(float[], int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create complex ndarray
- createComplex(double[], int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createComplex(double[], int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createComplex(double[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createComplex(float[], int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createComplex(int, int, int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(INDArray) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a complex ndarray from the passed in indarray
- createComplex(IComplexNumber[], int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a complex ndarray from the passed in indarray
- createComplex(List<IComplexNDArray>, int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a complex ndarray from the passed in indarray
- createComplex(double[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray with the specified data
- createComplex(DataBuffer) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray with the specified data
- createComplex(int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray
- createComplex(float[], int, int, int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(DataBuffer, int, int, int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(DataBuffer, int[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(IComplexNumber[], int[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(IComplexNumber[], int[], int[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(IComplexNumber[], int[], int[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(IComplexNumber[], int[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(IComplexNumber[], int[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(double[], int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create an ndrray with the specified shape
- createComplex(float[], int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create an ndrray with the specified shape
- createComplex(double[], int[], int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create an ndrray with the specified shape
- createComplex(float[], int[], int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create an ndrray with the specified shape
- createComplex(double[], int, int, int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(double[], int[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(DataBuffer, int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create an ndrray with the specified shape
- createComplex(DataBuffer, int[], int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create an ndrray with the specified shape
- createComplex(int[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(int, int, int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(int[], int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(int, int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(double[], int[], int[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a complex ndarray with the given data
- createComplex(double[], int[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createComplex(DataBuffer, int[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createComplex(double[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createComplex(DataBuffer, int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createComplex(float[], int[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createComplex(float[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createComplex(float[], int[], int[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createComplex(float[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createComplex(float[], int[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createComplex(DataBuffer, int[], int[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createComplex(float[], Character) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createComplex(int[], int[], int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createComplex(int[], int[], long, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createComplexNumber(Number, Number) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create double based on real and imaginary
- createCoveringShape(int[]) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
-
Creates an index covering the given shape
(for each dimension 0,shape[i])
- CREATED - Static variable in interface org.nd4j.linalg.api.instrumentation.Instrumentation
-
- createDouble(double, double) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create an instance of a complex double
- createDouble(double, double) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an instance of a complex double
- createDouble(double, double) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create an instance of a complex double
- createFloat(float, float) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create float
- createFloat(float, float) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create double
- createFloat(float, float) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create float
- createFromNpyFile(File) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create from a given numpy file.
- createFromNpyFile(File) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create from a given numpy file.
- createFromNpyPointer(Pointer) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create from an in memory numpy pointer
- createFromNpyPointer(Pointer) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create from an in memory numpy pointer
- createFromStartAndEnd(INDArray, INDArray) - Static method in class org.nd4j.linalg.indexing.Indices
-
Create an n dimensional index
based on the given interval indices.
- createFromStartAndEnd(INDArray, INDArray, boolean) - Static method in class org.nd4j.linalg.indexing.Indices
-
Create indices representing intervals
along each dimension
- createIndexAccum(String, INDArray, INDArray, INDArray, Object[]) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createIndexAccum(String, INDArray) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createIndexAccum(String, INDArray, INDArray) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createIndexAccum(String, INDArray, INDArray, INDArray, Object[]) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
- createIndexAccum(String, INDArray) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
- createIndexAccum(String, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
Index accumulation operation
- createInputMatrix(int) - Method in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher
-
Creates a feature vector
- createLapack() - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create lapack
- createLevel1() - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create level 1
- createLevel2() - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create level 2
- createLevel3() - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create level 3
- createLossFunction(String, INDArray, INDArray) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createLossFunction(String, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
Create a loss function with the given inputs and outputs
- createNormal(INDArray, double) - Method in class org.nd4j.linalg.api.rng.distribution.factory.DefaultDistributionFactory
-
- createNormal(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.factory.DefaultDistributionFactory
-
- createNormal(INDArray, double) - Method in interface org.nd4j.linalg.api.rng.distribution.factory.DistributionFactory
-
Create a normal distribution
with the given mean and std
- createNormal(double, double) - Method in interface org.nd4j.linalg.api.rng.distribution.factory.DistributionFactory
-
Create a normal distribution
with the given mean and std
- createOutputMatrix(int) - Method in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher
-
- createOutputVector(int) - Method in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher
-
Creates an output label matrix
- createScalar(double) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- createScalar(double) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- createScalarForIndex(int, boolean) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- createScalarForIndex(int, boolean) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- createScalarTransform(String, INDArray, INDArray, double) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createScalarTransform(String, INDArray, double) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createScalarTransform(String, INDArray, Object[], double) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createScalarTransform(String, INDArray, INDArray, INDArray, double) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createScalarTransform(String, INDArray, INDArray, INDArray, Object[], double) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createScalarTransform(String, INDArray, INDArray, double) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
- createScalarTransform(String, INDArray, double) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
- createScalarTransform(String, INDArray, Object[], double) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
- createScalarTransform(String, INDArray, INDArray, INDArray, double) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
- createScalarTransform(String, INDArray, INDArray, INDArray, Object[], double) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
- createShape(String, INDArray, INDArray) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createShape(String, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
- createShapeInformation(int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseShapeInfoProvider
-
This method creates shapeInformation buffer, based on shape being passed in
- createShapeInformation(int[], char) - Method in class org.nd4j.linalg.api.ndarray.BaseShapeInfoProvider
-
This method creates shapeInformation buffer, based on shape & order being passed in
- createShapeInformation(int[], int[], long, int, char) - Method in class org.nd4j.linalg.api.ndarray.BaseShapeInfoProvider
-
- createShapeInformation(int[]) - Method in interface org.nd4j.linalg.api.ndarray.ShapeInfoProvider
-
This method creates shapeInformation buffer, based on shape being passed in
- createShapeInformation(int[], char) - Method in interface org.nd4j.linalg.api.ndarray.ShapeInfoProvider
-
This method creates shapeInformation buffer, based on shape & order being passed in
- createShapeInformation(int[], int[], long, int, char) - Method in interface org.nd4j.linalg.api.ndarray.ShapeInfoProvider
-
This method creates shapeInformation buffer, based on detailed shape information being passed in
- createShapeInformation(int[], int[], long, int, char) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Creates the shape information buffer
given the shape,stride
- createSortedStrides(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Creates sorted strides
whlie retaining the permutation
- createStashIfNotExists(T) - Method in class org.nd4j.linalg.memory.stash.BasicStashManager
-
- createStashIfNotExists(T) - Method in interface org.nd4j.linalg.memory.stash.StashManager
-
- createSubset(int) - Method in class org.nd4j.linalg.learning.legacy.AdaGrad
-
- createTransform(String, INDArray, INDArray) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createTransform(String, INDArray) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createTransform(String, INDArray, Object[]) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createTransform(String, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createTransform(String, INDArray, INDArray, INDArray, Object[]) - Method in class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- createTransform(String, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
- createTransform(String, INDArray) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
- createTransform(String, INDArray, Object[]) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
- createTransform(String, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
- createTransform(String, INDArray, INDArray, INDArray, Object[]) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
- createUniform(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.factory.DefaultDistributionFactory
-
- createUniform(double, double) - Method in interface org.nd4j.linalg.api.rng.distribution.factory.DistributionFactory
-
Create a uniform distribution with the
given min and max
- createUninitialized(int, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method returns uninitialized 2D array of rows x columns
PLEASE NOTE: memory of underlying array will be NOT initialized, and won't be set to 0.0
- createUninitialized(int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an *uninitialized* ndarray with the specified shape and ordering.
NOTE: The underlying memory (DataBuffer) will not be initialized.
- createUninitialized(int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an *uninitialized* ndarray with the specified shape and default ordering.
NOTE: The underlying memory (DataBuffer) will not be initialized.
- createUninitialized(int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method creates an *uninitialized* ndarray of specified length and default ordering.
- createUninitialized(int[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createUninitializedDetached(int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Cretes uninitialized INDArray detached from any (if any) workspace
- createUninitializedDetached(int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Cretes uninitialized INDArray detached from any (if any) workspace
- createUninitializedDetached(int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Cretes uninitialized INDArray detached from any (if any) workspace
- createUninitializedDetached(int[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Cretes uninitialized INDArray detached from any (if any) workspace
- cscal(int, IComplexFloat, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- csscal(int, float, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- cswap(int, IComplexNDArray, int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- csymm(char, char, char, int, int, IComplexFloat, IComplexNDArray, int, IComplexNDArray, int, IComplexFloat, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
- csyr2k(char, char, char, int, int, IComplexFloat, IComplexNDArray, int, IComplexNDArray, int, IComplexFloat, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
- csyrk(char, char, char, int, int, IComplexFloat, IComplexNDArray, int, IComplexFloat, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
- ctbmv(char, char, char, char, int, int, IComplexNDArray, int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- ctbsv(char, char, char, char, int, int, IComplexNDArray, int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- ctpmv(char, char, char, char, int, IComplexNDArray, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- ctpsv(char, char, char, char, int, IComplexNDArray, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- ctrmm(char, char, char, char, char, int, int, IComplexFloat, IComplexNDArray, int, IComplexNDArray, int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
- ctrmv(char, char, char, char, int, IComplexNDArray, int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- ctrsm(char, char, char, char, char, int, int, IComplexFloat, IComplexNDArray, int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
- ctrsv(char, char, char, char, int, IComplexNDArray, int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- Cube - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Cube (x^3) elementwise function
- Cube() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cube
-
- Cube(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cube
-
- Cube(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cube
-
- Cube(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cube
-
- Cube(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cube
-
- Cube(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cube
-
- CubeDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Cube derivative, e.g.
- CubeDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.CubeDerivative
-
- CubeDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.CubeDerivative
-
- CubeDerivative(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.CubeDerivative
-
- CubeDerivative(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.CubeDerivative
-
- CubeDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.CubeDerivative
-
- CUDA_DEVICE_INFORMATION_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment
-
- CUDA_DEVICE_MAJOR_VERSION_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment
-
- CUDA_DEVICE_MINOR_VERSION_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment
-
- CUDA_DEVICE_NAME_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment
-
- CUDA_FREE_MEMORY_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment
-
- CUDA_NUM_GPUS_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment
-
- CUDA_TOTAL_MEMORY_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment
-
- cumsum(int) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Cumulative sum along a dimension (in place)
- cumsum(int) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Cumulative sum along a dimension (in place)
- cumsum(int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Cumulative sum along a dimension (in place)
- cumsum(int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the cumulative sum along a dimension.
- cumsum(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- cumsum(IComplexNDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- cumsum(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- cumsum(IComplexNDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- cumsumi(int) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Cumulative sum along a dimension
- cumsumi(int) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Cumulative sum along a dimension
- cumsumi(int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Cumulative sum along a dimension
- cumsumi(int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the cumulative sum along a dimension.
- cumulativeProbability(double) - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(X <= x).
- cumulativeProbability(double, double) - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
-
- cumulativeProbability(int) - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
- cumulativeProbability(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
-
- cumulativeProbability(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
-
- cumulativeProbability(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(X <= x).
- cumulativeProbability(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
- cumulativeProbability(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(X <= x).
- cumulativeProbability(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution
-
- curr - Variable in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher
-
- current() - Method in interface org.nd4j.linalg.indexing.INDArrayIndex
-
Return the current index
without incrementing the counter
- current() - Method in class org.nd4j.linalg.indexing.IntervalIndex
-
- current() - Method in class org.nd4j.linalg.indexing.NDArrayIndex
-
- current() - Method in class org.nd4j.linalg.indexing.NDArrayIndexEmpty
-
- current() - Method in class org.nd4j.linalg.indexing.NewAxis
-
- current() - Method in class org.nd4j.linalg.indexing.PointIndex
-
- current() - Method in class org.nd4j.linalg.indexing.SpecifiedIndex
-
- currentResult() - Method in interface org.nd4j.linalg.api.ops.Accumulation
-
Deprecated.
- currentResult() - Method in class org.nd4j.linalg.api.ops.BaseAccumulation
-
- currentSize - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- cursor() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator
-
- cursor() - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator
-
- cursor() - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator
-
The current cursor if applicable
- cursor - Variable in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher
-
- cursor() - Method in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher
-
- cursor() - Method in interface org.nd4j.linalg.dataset.api.iterator.fetcher.DataSetFetcher
-
Direct access to a number represenative of iterating through a dataset
- cursor() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator
-
cursor value of zero indicates no iterations and the very first fold will be held out as test
cursor value of 1 indicates the the next() call will return all but second fold which will be held out as test
curson value of k-1 indicates the next() call will return all but the last fold which will be held out as test
- cursor() - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator
-
Deprecated.
The current cursor if applicable
- cursor() - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator
-
- cursor() - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator
-
- cursor() - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator
-
- cursor() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
-
- cursor() - Method in class org.nd4j.linalg.dataset.ViewIterator
-
- CustomSerializerStrategy<T extends Normalizer> - Class in org.nd4j.linalg.dataset.api.preprocessor.serializer
-
Base class for custom normalizer serializers
- CustomSerializerStrategy() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.serializer.CustomSerializerStrategy
-
- cycleAllocations - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- cyclesCount - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- dasum(int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- dasum(int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- data - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- data() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- data - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArrayProxy
-
- data() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns a linear double array representation of this ndarray
- DATA_BUFFER_FACTORY_INSTANCE - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- DATA_BUFFER_OPS - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- dataBufferFactoryClazz - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- DataBufferLogEntry - Class in org.nd4j.linalg.api.instrumentation
-
Data buffer log entry.
- DataBufferLogEntry() - Constructor for class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
-
- DataBufferLogEntry(DataBuffer, String) - Constructor for class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
-
- DataBufferLogEntry(DataBuffer) - Constructor for class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
-
- dataBufferToArray(DataBuffer) - Static method in class org.nd4j.linalg.cache.TadDescriptor
-
Obtain the values from the shape buffer
for the array
- DataNormalization - Interface in org.nd4j.linalg.dataset.api.preprocessor
-
An interface for data normalizers.
- DataSet - Interface in org.nd4j.linalg.dataset.api
-
Created by agibsonccc on 8/26/14.
- DataSet - Class in org.nd4j.linalg.dataset
-
A data transform (example/outcome pairs)
The outcomes are specifically for neural network encoding such that
any labels that are considered true are 1s.
- DataSet() - Constructor for class org.nd4j.linalg.dataset.DataSet
-
- DataSet(INDArray, INDArray) - Constructor for class org.nd4j.linalg.dataset.DataSet
-
Creates a dataset with the specified input matrix and labels
- DataSet(INDArray, INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.dataset.DataSet
-
Create a dataset with the specified input INDArray and labels (output) INDArray, plus (optionally) mask arrays
for the features and labels
- dataSetBatches(int) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- dataSetBatches(int) - Method in class org.nd4j.linalg.dataset.DataSet
-
Partitions the data transform by the specified number.
- DataSetCache - Interface in org.nd4j.linalg.dataset.api.iterator.cache
-
Created by anton on 7/16/16.
- DataSetFetcher - Interface in org.nd4j.linalg.dataset.api.iterator.fetcher
-
A low level interface for loading datasets in to memory.
- DataSetIterator - Interface in org.nd4j.linalg.dataset.api.iterator
-
A DataSetIterator handles
traversing through a dataset and preparing
data for a neural network.
- DataSetIteratorFactory - Interface in org.nd4j.linalg.dataset.api.iterator
-
- DataSetPreProcessor - Interface in org.nd4j.linalg.dataset.api
-
Pre process a dataset
- DataSetUtil - Class in org.nd4j.linalg.dataset.api
-
Created by susaneraly on 9/20/16.
- DataSetUtil() - Constructor for class org.nd4j.linalg.dataset.api.DataSetUtil
-
- dataType - Variable in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
-
- dataType() - Static method in class org.nd4j.linalg.factory.Nd4j
-
Returns the data type used for the runtime
- DataTypeValidation - Class in org.nd4j.linalg.factory
-
Data type validation
- DataTypeValidation() - Constructor for class org.nd4j.linalg.factory.DataTypeValidation
-
- daxpy(int, double, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- daxpy(int, double, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- dcopy(int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- dcopy(int, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- ddot(int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- ddot(int, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- decompress(DataBuffer) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
Decompress the given databuffer
- decompress(INDArray) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
- decompress(INDArray) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor
-
This method returns
decompressed copy of referenced array
- decompress(DataBuffer) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor
-
Return a compressed databuffer
- decompressi(INDArray) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
in place decompression of the given
ndarray.
- decompressi(INDArray) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor
-
Inplace decompression of INDArray
- DEFAULT_ADADELTA_EPSILON - Static variable in class org.nd4j.linalg.learning.config.AdaDelta
-
- DEFAULT_ADADELTA_RHO - Static variable in class org.nd4j.linalg.learning.config.AdaDelta
-
- DEFAULT_ADAGRAD_EPSILON - Static variable in class org.nd4j.linalg.learning.config.AdaGrad
-
- DEFAULT_ADAGRAD_EPSILON - Static variable in class org.nd4j.linalg.learning.legacy.AdaGrad
-
- DEFAULT_ADAGRAD_LEARNING_RATE - Static variable in class org.nd4j.linalg.learning.config.AdaGrad
-
- DEFAULT_ADAM_BETA1_MEAN_DECAY - Static variable in class org.nd4j.linalg.learning.config.Adam
-
- DEFAULT_ADAM_BETA2_VAR_DECAY - Static variable in class org.nd4j.linalg.learning.config.Adam
-
- DEFAULT_ADAM_EPSILON - Static variable in class org.nd4j.linalg.learning.config.Adam
-
- DEFAULT_ADAM_LEARNING_RATE - Static variable in class org.nd4j.linalg.learning.config.Adam
-
- DEFAULT_ADAMAX_BETA1_MEAN_DECAY - Static variable in class org.nd4j.linalg.learning.config.AdaMax
-
- DEFAULT_ADAMAX_BETA2_VAR_DECAY - Static variable in class org.nd4j.linalg.learning.config.AdaMax
-
- DEFAULT_ADAMAX_EPSILON - Static variable in class org.nd4j.linalg.learning.config.AdaMax
-
- DEFAULT_ADAMAX_LEARNING_RATE - Static variable in class org.nd4j.linalg.learning.config.AdaMax
-
- DEFAULT_ALPHA - Static variable in class org.nd4j.linalg.activations.impl.ActivationELU
-
- DEFAULT_ALPHA - Static variable in class org.nd4j.linalg.activations.impl.ActivationLReLU
-
- DEFAULT_ALPHA - Static variable in class org.nd4j.linalg.api.ops.impl.transforms.LeakyReLU
-
- DEFAULT_BETA - Static variable in class org.nd4j.linalg.lossfunctions.impl.LossFMeasure
-
- DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
Default inverse cumulative probability accuracy.
- DEFAULT_L - Static variable in class org.nd4j.linalg.activations.impl.ActivationRReLU
-
- DEFAULT_NADAM_BETA1_MEAN_DECAY - Static variable in class org.nd4j.linalg.learning.config.Nadam
-
- DEFAULT_NADAM_BETA2_VAR_DECAY - Static variable in class org.nd4j.linalg.learning.config.Nadam
-
- DEFAULT_NADAM_EPSILON - Static variable in class org.nd4j.linalg.learning.config.Nadam
-
- DEFAULT_NADAM_LEARNING_RATE - Static variable in class org.nd4j.linalg.learning.config.Nadam
-
- DEFAULT_NAME - Static variable in class org.nd4j.linalg.api.ops.TadCollapseAccumulation
-
- DEFAULT_NESTEROV_LEARNING_RATE - Static variable in class org.nd4j.linalg.learning.config.Nesterovs
-
- DEFAULT_NESTEROV_MOMENTUM - Static variable in class org.nd4j.linalg.learning.config.Nesterovs
-
- DEFAULT_PATTERN - Static variable in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator
-
- DEFAULT_RMSPROP_EPSILON - Static variable in class org.nd4j.linalg.learning.config.RmsProp
-
- DEFAULT_RMSPROP_LEARNING_RATE - Static variable in class org.nd4j.linalg.learning.config.RmsProp
-
- DEFAULT_RMSPROP_RMSDECAY - Static variable in class org.nd4j.linalg.learning.config.RmsProp
-
- DEFAULT_SGD_LR - Static variable in class org.nd4j.linalg.learning.config.Sgd
-
- DEFAULT_U - Static variable in class org.nd4j.linalg.activations.impl.ActivationRReLU
-
- defaultCompression - Variable in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
- defaultConfiguration - Variable in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
- DefaultConvolutionInstance - Class in org.nd4j.linalg.convolution
-
Default convolution instance (FFT based)
- DefaultConvolutionInstance() - Constructor for class org.nd4j.linalg.convolution.DefaultConvolutionInstance
-
- DefaultDistributionFactory - Class in org.nd4j.linalg.api.rng.distribution.factory
-
Default distribution factory
- DefaultDistributionFactory() - Constructor for class org.nd4j.linalg.api.rng.distribution.factory.DefaultDistributionFactory
-
- DefaultFFTInstance - Class in org.nd4j.linalg.fft
-
Default FFT instance
that will work that is backend agnostic.
- DefaultFFTInstance() - Constructor for class org.nd4j.linalg.fft.DefaultFFTInstance
-
- DefaultOpExecutioner - Class in org.nd4j.linalg.api.ops.executioner
-
Basic op executioner.
- DefaultOpExecutioner() - Constructor for class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- DefaultOpFactory - Class in org.nd4j.linalg.api.ops.factory
-
Default operations factory
- DefaultOpFactory() - Constructor for class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
-
- DefaultRandom - Class in org.nd4j.linalg.api.rng
-
Apache commons based random number generation
Please note: this implementation can't be used for NativeOps execution
- DefaultRandom() - Constructor for class org.nd4j.linalg.api.rng.DefaultRandom
-
Initialize with a System.currentTimeMillis()
seed
- DefaultRandom(long) - Constructor for class org.nd4j.linalg.api.rng.DefaultRandom
-
- DefaultRandom(RandomGenerator) - Constructor for class org.nd4j.linalg.api.rng.DefaultRandom
-
- density(double) - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
-
Returns the probability density function (PDF) of this distribution
evaluated at the specified point x.
- density(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
-
- density(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
Returns the probability density function (PDF) of this distribution
evaluated at the specified point x.
- density(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution
-
Returns the probability density function (PDF) of this distribution
evaluated at the specified point x.
- derivative() - Method in class org.nd4j.linalg.api.ops.BaseTransformOp
-
- derivative() - Method in class org.nd4j.linalg.api.ops.impl.transforms.ATanh
-
- derivative() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Cosh
-
- derivative() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Cube
-
- derivative() - Method in class org.nd4j.linalg.api.ops.impl.transforms.ELU
-
- derivative() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Exp
-
- derivative() - Method in class org.nd4j.linalg.api.ops.impl.transforms.HardSigmoid
-
- derivative() - Method in class org.nd4j.linalg.api.ops.impl.transforms.HardTanh
-
- derivative() - Method in class org.nd4j.linalg.api.ops.impl.transforms.LeakyReLU
-
- derivative() - Method in class org.nd4j.linalg.api.ops.impl.transforms.RationalTanh
-
- derivative() - Method in class org.nd4j.linalg.api.ops.impl.transforms.RectifedLinear
-
- derivative() - Method in class org.nd4j.linalg.api.ops.impl.transforms.RectifiedTanh
-
- derivative() - Method in class org.nd4j.linalg.api.ops.impl.transforms.SELU
-
- derivative() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Sigmoid
-
- derivative() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Sin
-
- derivative() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Sinh
-
- derivative() - Method in class org.nd4j.linalg.api.ops.impl.transforms.SoftMax
-
- derivative() - Method in class org.nd4j.linalg.api.ops.impl.transforms.SoftPlus
-
- derivative() - Method in class org.nd4j.linalg.api.ops.impl.transforms.SoftSign
-
- derivative() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Tan
-
- derivative() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Tanh
-
- derivative() - Method in interface org.nd4j.linalg.api.ops.TransformOp
-
The derivative operation for this op
- derivedId(long) - Method in class org.nd4j.linalg.heartbeat.Heartbeat
-
- deserialize(JsonParser, DeserializationContext) - Method in class org.nd4j.linalg.lossfunctions.serde.RowVectorDeserializer
-
- destroyAllWorkspacesForCurrentThread() - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
This method destroys all workspaces allocated in current thread
- DESTROYED - Static variable in interface org.nd4j.linalg.api.instrumentation.Instrumentation
-
- destroyWorkspace() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
This method causes Workspace destruction: all memory allocations are released after this call.
- destroyWorkspace(boolean) - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
- destroyWorkspace() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- destroyWorkspace(boolean) - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method basically deallocates workspace memory
- destroyWorkspace(MemoryWorkspace) - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
This method destroys given workspace
- destroyWorkspace() - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
This method destroy default workspace, if any
- detach() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
This metod detaches INDArray from Workspace, returning copy.
- detach() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
This method detaches INDArray from Workspace, returning copy.
- detach() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
This method detaches this DataSet from current Workspace (if any)
- detach() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
This method detaches this MultiDataSet from current Workspace (if any)
- detach() - Method in class org.nd4j.linalg.dataset.DataSet
-
This method migrates this DataSet into current Workspace (if any)
- detach() - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
This method migrates this DataSet into current Workspace (if any)
- deviceId - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- DeviceLocal<T> - Class in org.nd4j.linalg.util
-
Class similar to Java ThreadLocal class, but locality is preserved with respect to device used
- DeviceLocal() - Constructor for class org.nd4j.linalg.util.DeviceLocal
-
- DeviceLocalNDArray - Class in org.nd4j.linalg.util
-
DeviceLocal implementation for INDArray, with special broadcast method
- DeviceLocalNDArray() - Constructor for class org.nd4j.linalg.util.DeviceLocalNDArray
-
- DeviceLocalNDArray(INDArray) - Constructor for class org.nd4j.linalg.util.DeviceLocalNDArray
-
- deviceOffset - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- dgbmv(char, char, int, int, int, int, double, INDArray, int, INDArray, int, double, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- dgemm(char, char, char, int, int, int, double, INDArray, int, INDArray, int, double, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
- dgemv(char, char, int, int, double, INDArray, int, INDArray, int, double, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- dgeqrf(int, int, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
- dger(char, int, int, double, INDArray, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- dgesvd(byte, byte, int, int, INDArray, INDArray, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
- dgetrf(int, int, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
- diag(IComplexNDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a new matrix where the values of the given vector are the diagonal values of
the matrix if a vector is passed in, if a matrix is returns the kth diagonal
in the matrix
- diag(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a new matrix where the values of the given vector are the diagonal values of
the matrix if a vector is passed in, if a matrix is returns the kth diagonal
in the matrix
- diag(IComplexNDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a new matrix where the values of the given vector are the diagonal values of
the matrix if a vector is passed in, if a matrix is returns the kth diagonal
in the matrix
- diag(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a new matrix where the values of the given vector are the diagonal values of
the matrix if a vector is passed in, if a matrix is returns the kth diagonal
in the matrix
- dimension - Variable in class org.nd4j.linalg.api.ops.BaseBroadcastOp
-
- dimShuffle(Object[], int[], boolean[]) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Dimshuffle: an extension of permute that adds the ability
to broadcast various dimensions.
- dimShuffle(Object[], int[], boolean[]) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Dimshuffle: an extension of permute that adds the ability
to broadcast various dimensions.
- dimShuffle(Object[], int[], boolean[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Dimshuffle: an extension of permute that adds the ability
to broadcast various dimensions.
- dimShuffle(Object[], int[], boolean[]) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Dimshuffle: an extension of permute that adds the ability
to broadcast various dimensions.
- disabledCounter - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- disableHeartbeat() - Method in class org.nd4j.linalg.heartbeat.Heartbeat
-
- distance1(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Returns the (1-norm) distance.
- distance1(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the (1-norm) distance.
- distance1(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the (1-norm) distance.
- distance2(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Returns the (euclidean) distance.
- distance2(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the (euclidean) distance.
- distance2(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the (euclidean) distance.
- Distribution - Interface in org.nd4j.linalg.api.rng.distribution
-
A probability distribution
- DISTRIBUTION - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- DISTRIBUTION_FACTORY - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- DistributionFactory - Interface in org.nd4j.linalg.api.rng.distribution.factory
-
Create a distribution
- distributionFactoryClazz - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- DistributionStats - Class in org.nd4j.linalg.dataset.api.preprocessor.stats
-
Statistics about the normal distribution of values in data (means and standard deviations).
- DistributionStats(INDArray, INDArray) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.stats.DistributionStats
-
- DistributionStats.Builder - Class in org.nd4j.linalg.dataset.api.preprocessor.stats
-
Builder class that can incrementally update a running mean and variance in order to create statistics for a
large set of data
- div(Number, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- div(Number) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- div(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
in place (element wise) division of two matrices
- div(INDArray, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
copy (element wise) division of two matrices
- div(IComplexNumber, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- div(IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- div(IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- div(IComplexNumber, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- div(IComplexNumber) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- div(Number, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- div(Number) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- div(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
in place (element wise) division of two matrices
- div(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
copy (element wise) division of two matrices
- div(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- div(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
in place (element wise) division of two matrices
- div(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
copy (element wise) division of two matrices
- div(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- div(IComplexNumber) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- div(IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- div(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Division by a number
- div(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- div(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Copy (element wise) division of two NDArrays
- div(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
copy (element wise) division of two NDArrays
- div(IComplexNumber) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- div(IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- divColumnVector(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
In place addition of a column vector
- divColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
In place addition of a column vector
- divColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
In place addition of a column vector
- divColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Division of a column vector (copy)
- divi(Number, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- divi(Number) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- divi(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
in place (element wise) division of two matrices
- divi(INDArray, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
in place (element wise) division of two matrices
- divi(IComplexNumber, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- divi(IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- divi(IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- divi(IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- divi(IComplexNumber, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- divi(IComplexNumber) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- divi(Number, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- divi(Number) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- divi(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
in place (element wise) division of two matrices
- divi(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
in place (element wise) division of two matrices
- divi(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- divi(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
in place (element wise) division of two matrices
- divi(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
in place (element wise) division of two matrices
- divi(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- divi(IComplexNumber) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- divi(IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- divi(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
In place scalar division
- divi(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
In place division of this ndarray
- divi(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
in place (element wise) division of two NDArrays
- divi(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
in place (element wise) division of two NDArrays
- divi(IComplexNumber) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- divi(IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- diviColumnVector(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
In place addition of a column vector
- diviColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
In place addition of a column vector
- diviColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
In place addition of a column vector
- diviColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
In place division of a column vector
- divideBy(int) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Divide the features by a scalar
- divideBy(int) - Method in class org.nd4j.linalg.dataset.DataSet
-
- diviRowVector(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
In place addition of a column vector
- diviRowVector(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
In place addition of a column vector
- diviRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
In place addition of a column vector
- diviRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
In place division of a row vector
- DivOp - Class in org.nd4j.linalg.api.ops.impl.transforms.arithmetic
-
Division operation
- DivOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.DivOp
-
- DivOp(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.DivOp
-
- DivOp(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.DivOp
-
- DivOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.DivOp
-
- DivOp(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.DivOp
-
- DivOp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.DivOp
-
- divRowVector(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
In place addition of a column vector
- divRowVector(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
In place addition of a column vector
- divRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
In place addition of a column vector
- divRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Division of a row vector (copy)
- dLdZsoftmax(INDArray, INDArray) - Static method in class org.nd4j.linalg.lossfunctions.LossUtil
-
- dLdZsoftmaxi(INDArray, INDArray) - Static method in class org.nd4j.linalg.lossfunctions.LossUtil
-
- dLdZsoftmaxPreOut(INDArray, INDArray) - Static method in class org.nd4j.linalg.lossfunctions.LossUtil
-
- dnrm2(int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- doAlongDiagonal(INDArray, Function<Number, Number>) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Perform an operation along a diagonal
- doAlongDiagonal(IComplexNDArray, Function<IComplexNumber, IComplexNumber>) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Perform an operation along a diagonal
- doByteBufferPutCompressed(INDArray, ByteBuffer, boolean) - Static method in class org.nd4j.serde.binary.BinarySerde
-
Setup the given byte buffer
for serialization (note that this is for compressed INDArrays)
4 bytes for rank
4 bytes for data type
shape information
codec information
data type
- doByteBufferPutUnCompressed(INDArray, ByteBuffer, boolean) - Static method in class org.nd4j.serde.binary.BinarySerde
-
Setup the given byte buffer
for serialization (note that this is for uncompressed INDArrays)
4 bytes int for rank
4 bytes for data type
shape buffer
data buffer
- doColumnWise(INDArray, char) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- doColumnWise(INDArray, char) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Do a row wise op (a,s,m,d)
a : add
s : subtract
m : multiply
d : divide
h : reverse subtraction
t : reverse division
- doFFt(IComplexNDArray, int[], int[], boolean) - Method in class org.nd4j.linalg.fft.BaseFFTInstance
-
- doInnerFft(IComplexNDArray, int[], int[], boolean) - Method in class org.nd4j.linalg.fft.BaseFFTInstance
-
- donotMaskAllMajorityWindows() - Method in class org.nd4j.linalg.dataset.api.preprocessor.classimbalance.BaseUnderSamplingPreProcessor
-
If a tbptt segment is all majority class labels default behaviour is to mask all time steps in the segment.
- donotMaskMinorityWindows() - Method in class org.nd4j.linalg.dataset.api.preprocessor.classimbalance.BaseUnderSamplingPreProcessor
-
If set will not mask timesteps if they fall in a tbptt segment with at least one minority class label
- doPermuteSwap(IntBuffer, int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- doPermuteSwap(DataBuffer, int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- doRowWise(INDArray, char) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- doRowWise(INDArray, char) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Do a row wise op (a,s,m,d)
a : add
s : subtract
m : multiply
d : divide
h : reverse subtraction
t : reverse division
- dot(int, double, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
computes a vector-vector dot product.
- dot(int, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- dot(int, IComplexNumber, IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
computes a vector-vector dot product.
- dot(int, double, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level1
-
computes a vector-vector dot product.
- dot(int, DataBuffer, int, int, DataBuffer, int, int) - Method in interface org.nd4j.linalg.api.blas.Level1
-
Vector-vector dot product
- dot(int, IComplexNumber, IComplexNDArray, IComplexNDArray) - Method in interface org.nd4j.linalg.api.blas.Level1
-
computes a vector-vector dot product.
- Dot - Class in org.nd4j.linalg.api.ops.impl.accum
-
Dot product
- Dot() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Dot
-
- Dot(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Dot
-
- Dot(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Dot
-
- Dot(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Dot
-
- Dot(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Dot
-
- dot(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- dot(INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Compute x^T * y (dot product)
- dotc(IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- dotc(IComplexNDArray, IComplexNDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Compute x^T * y (dot product)
- dotu(IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- dotu(IComplexNDArray, IComplexNDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Compute x^T * y (dot product)
- dpotrf(byte, int, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
- drop(T) - Method in interface org.nd4j.linalg.compression.AbstractStorage
-
This method removes value by specified key
- DropOut - Class in org.nd4j.linalg.api.ops.random.impl
-
Inverted DropOut implementation as Op
- DropOut() - Constructor for class org.nd4j.linalg.api.ops.random.impl.DropOut
-
- DropOut(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.DropOut
-
- DropOut(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.DropOut
-
- DropOut(INDArray, INDArray, double, long) - Constructor for class org.nd4j.linalg.api.ops.random.impl.DropOut
-
- DropOutInverted - Class in org.nd4j.linalg.api.ops.random.impl
-
Inverted DropOut implementation as Op
- DropOutInverted() - Constructor for class org.nd4j.linalg.api.ops.random.impl.DropOutInverted
-
- DropOutInverted(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.DropOutInverted
-
- DropOutInverted(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.DropOutInverted
-
- DropOutInverted(INDArray, INDArray, double, long) - Constructor for class org.nd4j.linalg.api.ops.random.impl.DropOutInverted
-
- drot(int, INDArray, int, INDArray, int, double, double) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- drotg(double, double, double, double) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- drotm(int, INDArray, int, INDArray, int, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- drotmg(double, double, double, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- dsbmv(char, char, int, int, double, INDArray, int, INDArray, int, double, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- dscal(int, double, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- dsdot(int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- dspmv(char, char, int, double, INDArray, INDArray, int, double, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- dspr(char, char, int, double, INDArray, int, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- dspr2(char, char, int, double, INDArray, int, INDArray, int, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- dswap(int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- dsyev(char, char, int, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
- dsymm(char, char, char, int, int, double, INDArray, int, INDArray, int, double, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
- dsymv(char, char, int, double, INDArray, int, INDArray, int, double, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- dsyr(char, char, int, double, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- dsyr2(char, char, int, double, INDArray, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- dsyr2k(char, char, char, int, int, double, INDArray, int, INDArray, int, double, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
- dsyrk(char, char, char, int, int, double, INDArray, int, double, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
- dtbmv(char, char, char, char, int, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- dtbsv(char, char, char, char, int, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- dtpmv(char, char, char, char, int, INDArray, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- dtpsv(char, char, char, char, int, INDArray, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- dtrmm(char, char, char, char, char, int, int, double, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
- dtrmv(char, char, char, char, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- dtrsm(char, char, char, char, char, int, int, double, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
- dtrsv(char, char, char, char, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- dtype() - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Returns the data type for this ndarray
- DTYPE - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- dtype - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- dtype() - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Returns the data type for this ndarray
- dummy - Static variable in class org.nd4j.linalg.eigen.Eigen
-
- DummyWorkspace - Class in org.nd4j.linalg.memory.abstracts
-
This MemoryWorkspace implementation is basically No-Op impl.
- DummyWorkspace() - Constructor for class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
- dup() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- dup() - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Return a copy of this ndarray
- dup() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- dup(char) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- dup() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns a copy of this ndarray
- dup(char) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns a copy of this ndarray, where the returned ndarray has the specified order
- dup() - Method in class org.nd4j.linalg.compression.CompressedDataBuffer
-
- dzasum(int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- dznrm2(int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- Eigen - Class in org.nd4j.linalg.eigen
-
Compute eigen values
- Eigen() - Constructor for class org.nd4j.linalg.eigen.Eigen
-
- eigenvalues(INDArray) - Static method in class org.nd4j.linalg.eigen.Eigen
-
Computes the eigenvalues of a general matrix.
- eigenvectors(INDArray) - Static method in class org.nd4j.linalg.eigen.Eigen
-
Computes the eigenvalues and eigenvectors of a general matrix.
- element() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Returns a scalar (individual element)
of a scalar ndarray
- element() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns a scalar (individual element)
of a scalar ndarray
- element() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns a scalar (individual element)
of a scalar ndarray
- elementStride() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- elementStride() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- elementStride() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Element stride (one element to the next,
also called the defualt stride: 1 for normal
2 for complex)
- elementWiseStride() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- elementWiseStride() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Element wise stride
- elementWiseStride - Variable in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil.Tensor1DStats
-
- elementWiseStride(int[], int[], boolean) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- elementWiseStride(DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the element wise stride for the
shape info buffer
- elementWiseStride(IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the element wise stride for the
shape info buffer
- ELU - Class in org.nd4j.linalg.api.ops.impl.transforms
-
ELU: Exponential Linear Unit (alpha=1.0)
Introduced in paper:
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Djork-Arné Clevert, Thomas Unterthiner, Sepp Hochreiter (2015)
http://arxiv.org/abs/1511.07289
- ELU() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ELU
-
- ELU(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ELU
-
- ELU(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ELU
-
- ELU(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ELU
-
- ELU(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ELU
-
- ELU(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ELU
-
- elu(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- elu(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- ELUDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Derivative of ELU: Exponential Linear Unit (alpha=1.0)
Introduced in paper:
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Djork-Arné Clevert, Thomas Unterthiner, Sepp Hochreiter (2015)
http://arxiv.org/abs/1511.07289
- ELUDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ELUDerivative
-
- ELUDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ELUDerivative
-
- ELUDerivative(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ELUDerivative
-
- ELUDerivative(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ELUDerivative
-
- ELUDerivative(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ELUDerivative
-
- ELUDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ELUDerivative
-
- eluDerivative(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- eluDerivative(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- empty() - Static method in class org.nd4j.linalg.dataset.DataSet
-
Returns a single dataset (all fields are null)
- empty() - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
-
Represents collecting no elements
- emptyLike(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Empty like
- ENABLED - Static variable in class org.nd4j.linalg.executors.ExecutorServiceProvider
-
- enableDebug(boolean) - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
This method enabled debugging mode for this workspace
- enableDebug(boolean) - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method enabled debugging mode for this workspace
- enableFallbackMode(boolean) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method enables fallback to safe-mode for specific operations.
- end() - Method in interface org.nd4j.linalg.indexing.INDArrayIndex
-
The ending for this index
- end - Variable in class org.nd4j.linalg.indexing.IntervalIndex
-
- end() - Method in class org.nd4j.linalg.indexing.IntervalIndex
-
- end() - Method in class org.nd4j.linalg.indexing.NDArrayIndex
-
- end() - Method in class org.nd4j.linalg.indexing.NDArrayIndexEmpty
-
- end() - Method in class org.nd4j.linalg.indexing.NewAxis
-
- end() - Method in class org.nd4j.linalg.indexing.PointIndex
-
- end() - Method in class org.nd4j.linalg.indexing.SpecifiedIndex
-
- ENFORCE_NUMERICAL_STABILITY - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- ensureAtMinRowVector(int...) - Static method in class org.nd4j.linalg.api.shape.Shape
-
If a shape array is ony 1 in length
it returns a row vector
- ensureLocation(INDArray, AffinityManager.Location) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager
-
This method propagates given INDArray to specified location
- ensureLocation(INDArray, AffinityManager.Location) - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager
-
- ensureThreadExistense() - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
- entries - Variable in class org.nd4j.linalg.profiler.data.primitives.StackNode
-
- entropy(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns entropy along dimension
- entropy(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns entropy value for this INDArray along specified dimension(s)
- Entropy - Class in org.nd4j.linalg.api.ops.impl.accum
-
Entropy Op - returns the entropy (information gain, or uncertainty of a random variable).
- Entropy() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Entropy
-
- Entropy(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Entropy
-
- Entropy(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Entropy
-
- Entropy(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Entropy
-
- Entropy(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Entropy
-
- Entropy(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Entropy
-
- entropyNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns entropy value for this INDArray
- entropyNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns entropy value for this INDArray
- Environment - Class in org.nd4j.linalg.heartbeat.reports
-
Bean/POJO that describes current jvm/node
- Environment() - Constructor for class org.nd4j.linalg.heartbeat.reports.Environment
-
- EnvironmentUtils - Class in org.nd4j.linalg.heartbeat.utils
-
- EnvironmentUtils() - Constructor for class org.nd4j.linalg.heartbeat.utils.EnvironmentUtils
-
- eps(Number) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Returns an ndarray with 1 if the element is epsilon equals
- eps(IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Returns an ndarray with 1 if the element is epsilon equals
- eps(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
epsilon equals than comparison:
If the given number is less than the
comparison number the item is 0 otherwise 1
- eps(IComplexNumber) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Returns an ndarray with 1 if the element is epsilon equals
- eps(Number) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Returns an ndarray with 1 if the element is epsilon equals
- eps(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
epsilon equals than comparison:
If the given number is less than the
comparison number the item is 0 otherwise 1
- eps(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns an ndarray with 1 if the element is epsilon equals
- eps(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
epsilon equals than comparison:
If the given number is less than the
comparison number the item is 0 otherwise 1
- eps(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the binary ndarray for "Epsilon equals" comparison.
- eps(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the binary ndarray for "Epsilon equals" comparison.
- eps - Variable in class org.nd4j.linalg.api.ops.impl.indexaccum.FirstIndex
-
- eps - Variable in class org.nd4j.linalg.api.ops.impl.indexaccum.LastIndex
-
- Eps - Class in org.nd4j.linalg.api.ops.impl.transforms.comparison
-
Bit mask over the ndarrays as to whether
the components are equal or not
- Eps() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.Eps
-
- Eps(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.Eps
-
- Eps(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.Eps
-
- Eps(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.Eps
-
- Eps(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.Eps
-
- eps(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- eps(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Eps function
- EPS_THRESHOLD - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- epsEquals(IComplexNumber) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
-
- epsEquals(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
-
- epsi(IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Returns an ndarray with 1 if the element is epsilon equals
- epsi(Number) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Returns an ndarray with 1 if the element is epsilon equals
- epsi(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
In place epsilon equals than comparison:
If the given number is less than the
comparison number the item is 0 otherwise 1
- epsi(IComplexNumber) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Returns an ndarray with 1 if the element is epsilon equals
- epsi(Number) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Returns an ndarray with 1 if the element is epsilon equals
- epsi(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
In place epsilon equals than comparison:
If the given number is less than the
comparison number the item is 0 otherwise 1
- epsi(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns an ndarray with 1 if the element is epsilon equals
- epsi(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
In place epsilon equals than comparison:
If the given number is less than the
comparison number the item is 0 otherwise 1
- epsi(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the binary ndarray for "Epsilon equals" comparison.
- epsi(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the binary ndarray for "Epsilon equals" comparison.
- EpsilonEquals - Class in org.nd4j.linalg.indexing.conditions
-
Created by agibsonccc on 10/8/14.
- EpsilonEquals() - Constructor for class org.nd4j.linalg.indexing.conditions.EpsilonEquals
-
Special constructor for pairwise boolean operations.
- EpsilonEquals(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.EpsilonEquals
-
- EpsilonEquals(IComplexNumber) - Constructor for class org.nd4j.linalg.indexing.conditions.EpsilonEquals
-
- EpsilonNotEquals - Class in org.nd4j.linalg.indexing.conditions
-
Created by agibsonccc on 10/8/14.
- EpsilonNotEquals() - Constructor for class org.nd4j.linalg.indexing.conditions.EpsilonNotEquals
-
Special constructor for pairwise boolean operations.
- EpsilonNotEquals(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.EpsilonNotEquals
-
- EpsilonNotEquals(IComplexNumber) - Constructor for class org.nd4j.linalg.indexing.conditions.EpsilonNotEquals
-
- epsNotEquals(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
-
- eq(Number) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- eq(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- eq(IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- eq(Number) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- eq(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- eq(IComplexNumber) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- eq(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- eq(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- eq(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the binary ndarray for "Equals" comparison.
- eq(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the binary ndarray for "Equals" comparison.
- eq(Condition...) - Method in class org.nd4j.linalg.indexing.conditions.ConditionBuilder
-
- eqi(Number) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- eqi(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- eqi(IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- eqi(Number) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- eqi(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- eqi(IComplexNumber) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- eqi(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- eqi(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- eqi(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the binary ndarray for "Equals" comparison.
- eqi(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the binary ndarray for "Equals" comparison.
- equals(Object) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Compare two matrices.
- equals(Object) - Method in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
-
- equals(Object) - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
-
- equals(Object) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Compare two matrices.
- equals(Object) - Method in class org.nd4j.linalg.api.shape.ShapeDescriptor
-
- equals(Object) - Method in class org.nd4j.linalg.cache.ArrayDescriptor
-
- equals(Object) - Method in class org.nd4j.linalg.dataset.DataSet
-
- equals(Object) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- equals(IComplexNumber) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
-
- equals(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
-
- equals(Object) - Method in class org.nd4j.linalg.indexing.IntervalIndex
-
- equals(Object) - Method in class org.nd4j.linalg.indexing.NDArrayIndex
-
- equals(Object) - Method in class org.nd4j.linalg.indexing.PointIndex
-
- equals(Object) - Method in interface org.nd4j.linalg.learning.config.IUpdater
-
- equals(Object) - Method in class org.nd4j.linalg.profiler.data.primitives.StackDescriptor
-
- EqualsCondition - Class in org.nd4j.linalg.indexing.conditions
-
Created by agibsonccc on 10/8/14.
- EqualsCondition() - Constructor for class org.nd4j.linalg.indexing.conditions.EqualsCondition
-
Special constructor for pairwise boolean operations.
- EqualsCondition(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.EqualsCondition
-
- EqualsCondition(IComplexNumber) - Constructor for class org.nd4j.linalg.indexing.conditions.EqualsCondition
-
- equalsWithEps(Object, double) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
This method allows you to compare INDArray against other INDArray, with variable eps
- equalsWithEps(Object, double) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
This method checks 2 INDArrays equality with given eps
- EqualsWithEps - Class in org.nd4j.linalg.api.ops.impl.accum
-
Operation for fast INDArrays equality checks
- EqualsWithEps() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.EqualsWithEps
-
- EqualsWithEps(INDArray, INDArray, INDArray, long, double) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.EqualsWithEps
-
- EqualsWithEps(INDArray, INDArray, long, double) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.EqualsWithEps
-
- EqualsWithEps(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.EqualsWithEps
-
- EqualTo - Class in org.nd4j.linalg.api.ops.impl.transforms.comparison
-
Bit mask over the ndarrays as to whether
the components are equal or not
- EqualTo() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.EqualTo
-
- EqualTo(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.EqualTo
-
- EqualTo(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.EqualTo
-
- EqualTo(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.EqualTo
-
- EqualTo(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.EqualTo
-
- estimateVariance(INDArray, int) - Method in class org.nd4j.linalg.dimensionalityreduction.PCA
-
Estimate the variance of a single record with reduced # of dimensions.
- EuclideanDistance - Class in org.nd4j.linalg.api.ops.impl.accum.distances
-
Euclidean distance
- EuclideanDistance() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.EuclideanDistance
-
- EuclideanDistance(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.EuclideanDistance
-
- EuclideanDistance(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.EuclideanDistance
-
- EuclideanDistance(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.EuclideanDistance
-
- EuclideanDistance(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.EuclideanDistance
-
- EuclideanDistance(INDArray, INDArray, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.EuclideanDistance
-
- EuclideanDistance(INDArray, INDArray, INDArray, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.EuclideanDistance
-
- euclideanDistance(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- Event - Enum in org.nd4j.linalg.heartbeat.reports
-
- eventsCount - Variable in class org.nd4j.linalg.profiler.data.primitives.StackTree
-
- exampleMaxs() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- exampleMaxs() - Method in class org.nd4j.linalg.dataset.DataSet
-
- exampleMeans() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- exampleMeans() - Method in class org.nd4j.linalg.dataset.DataSet
-
- exampleSums() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- exampleSums() - Method in class org.nd4j.linalg.dataset.DataSet
-
- exec() - Method in class org.nd4j.linalg.api.ops.BaseOp
-
- exec(int...) - Method in class org.nd4j.linalg.api.ops.BaseOp
-
- exec(Op) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- exec(Op, int...) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- exec(Accumulation, int...) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- exec(Variance, boolean, int...) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- exec(IndexAccumulation, int...) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- exec(BroadcastOp, int...) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- exec(MetaOp) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- exec(GridOp) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- exec(Batch<T>) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- exec(Aggregate) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- exec(List<Aggregate>) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- exec(RandomOp) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
This method executes specified RandomOp using default RNG available via Nd4j.getRandom()
- exec(RandomOp, Random) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
This method executes specific RandomOp against specified RNG
- exec(Op) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
Execute the operation
- exec(Op, int...) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
Execute the operation along 1 or more dimensions
- exec(Accumulation, int...) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
Execute an accumulation along one or more dimensions
- exec(BroadcastOp, int...) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
Execute an broadcast along one or more dimensions
- exec(Variance, boolean, int...) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
Execute an accumulation along one or more dimensions
- exec(IndexAccumulation, int...) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
Execute an index accumulation along one or more dimensions
- exec(MetaOp) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
Execute MetaOp
- exec(GridOp) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
Execute GridOp
- exec(Aggregate) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
- exec(Batch<T>) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
This method executes previously built batch
- exec(List<Aggregate>) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
This method takes abritrary sized list of aggregates, and packs them into batches
- exec(RandomOp) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
This method executes specified RandomOp using default RNG available via Nd4j.getRandom()
- exec(RandomOp, Random) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
This method executes specific RandomOp against specified RNG
- exec() - Method in class org.nd4j.linalg.api.ops.impl.accum.Bias
-
- exec(int...) - Method in class org.nd4j.linalg.api.ops.impl.accum.Bias
-
- exec() - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.CosineDistance
-
- exec(int...) - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.CosineDistance
-
- exec() - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.CosineSimilarity
-
- exec(int...) - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.CosineSimilarity
-
- exec() - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.HammingDistance
-
- exec(int...) - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.HammingDistance
-
- exec() - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.JaccardDistance
-
- exec(int...) - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.JaccardDistance
-
- exec() - Method in class org.nd4j.linalg.api.ops.impl.accum.Mmul
-
- exec() - Method in class org.nd4j.linalg.api.ops.impl.accum.StandardDeviation
-
- exec(int...) - Method in class org.nd4j.linalg.api.ops.impl.accum.StandardDeviation
-
- exec() - Method in class org.nd4j.linalg.api.ops.impl.accum.TensorMmul
-
- exec() - Method in class org.nd4j.linalg.api.ops.impl.accum.Variance
-
- exec(int...) - Method in class org.nd4j.linalg.api.ops.impl.accum.Variance
-
- exec() - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.CopyOp
-
- exec() - Method in class org.nd4j.linalg.api.ops.impl.transforms.LogSoftMax
-
- exec(int...) - Method in class org.nd4j.linalg.api.ops.impl.transforms.LogSoftMax
-
- exec() - Method in class org.nd4j.linalg.api.ops.impl.transforms.SoftMax
-
- exec(int...) - Method in class org.nd4j.linalg.api.ops.impl.transforms.SoftMax
-
- exec(int...) - Method in class org.nd4j.linalg.api.ops.impl.transforms.SoftMaxDerivative
-
- exec() - Method in class org.nd4j.linalg.api.ops.impl.transforms.VectorFFT
-
- exec() - Method in class org.nd4j.linalg.api.ops.impl.transforms.VectorIFFT
-
- exec() - Method in interface org.nd4j.linalg.api.ops.Op
-
Execute the op if its pass through (not needed most of the time)
- exec(int...) - Method in interface org.nd4j.linalg.api.ops.Op
-
Exec along each dimension
- exec() - Method in class org.nd4j.linalg.api.ops.TadCollapseAccumulation
-
- exec(int...) - Method in class org.nd4j.linalg.api.ops.TadCollapseAccumulation
-
- exec(INDArrayIndex...) - Method in class org.nd4j.linalg.indexing.ShapeOffsetResolution
-
Based on the passed in array
compute the shape,offsets, and strides
for the given indexes
- EXEC_THREADS - Static variable in class org.nd4j.linalg.executors.ExecutorServiceProvider
-
- execAndReturn(Op) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- execAndReturn(TransformOp) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- execAndReturn(Accumulation) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- execAndReturn(Variance, boolean) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- execAndReturn(ScalarOp) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- execAndReturn(IndexAccumulation) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- execAndReturn(BroadcastOp) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- execAndReturn(TransformOp) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
Execute a TransformOp and return the result
- execAndReturn(Accumulation) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
Execute and return the result from an accumulation
- execAndReturn(Variance, boolean) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
Execute and return the result from an accumulation
- execAndReturn(IndexAccumulation) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
Execute and return the result from an index accumulation
- execAndReturn(ScalarOp) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
Execute and return the result from a scalar op
- execAndReturn(BroadcastOp) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
Execute and return the result from a vector op
- execAndReturn(Op) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
Execute and return a result
ndarray from the given op
- executed - Variable in class org.nd4j.linalg.api.ops.impl.transforms.VectorFFT
-
- executed - Variable in class org.nd4j.linalg.api.ops.impl.transforms.VectorIFFT
-
- EXECUTION_MODE - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- executionMode - Variable in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- executionMode() - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- executionMode() - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
Get the execution mode for this
execuioner
- executionMode - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- ExecutorServiceProvider - Class in org.nd4j.linalg.executors
-
- ExecutorServiceProvider() - Constructor for class org.nd4j.linalg.executors.ExecutorServiceProvider
-
- ExistingMiniBatchDataSetIterator - Class in org.nd4j.linalg.dataset
-
Read in existing mini batches created
by the mini batch file datasetiterator.
- ExistingMiniBatchDataSetIterator(File) - Constructor for class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator
-
- ExistingMiniBatchDataSetIterator(File, String) - Constructor for class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator
-
- Exp - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Exp elementwise function
- Exp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Exp
-
- Exp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Exp
-
- Exp(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Exp
-
- Exp(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Exp
-
- Exp(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Exp
-
- exp(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- exp(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Exp function
- exp(IComplexNDArray) - Static method in class org.nd4j.linalg.util.ComplexNDArrayUtil
-
- exp(IComplexNumber) - Static method in class org.nd4j.linalg.util.ComplexUtil
-
Returns the exp of a complex number:
Let r be the realComponent component and i be the imaginary
Let ret be the complex number returned
ret -> exp(r) * cos(i), exp(r) * sin(i)
where the first number is the realComponent component
and the second number is the imaginary component
- exp(IComplexDouble) - Static method in class org.nd4j.linalg.util.ComplexUtil
-
Returns the exp of a complex number:
Let r be the realComponent component and i be the imaginary
Let ret be the complex number returned
ret -> exp(r) * cos(i), exp(r) * sin(i)
where the first number is the realComponent component
and the second number is the imaginary component
- exp(IComplexFloat) - Static method in class org.nd4j.linalg.util.ComplexUtil
-
Returns the exp of a complex number:
Let r be the realComponent component and i be the imaginary
Let ret be the complex number returned
ret -> exp(r) * cos(i), exp(r) * sin(i)
where the first number is the realComponent component
and the second number is the imaginary component
- expandDims(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Expand the array dimensions.
- expi(IComplexNDArray) - Static method in class org.nd4j.linalg.util.ComplexNDArrayUtil
-
Returns the exponential of a complex ndarray
- externalAllocations - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- externalCount - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- extraArgs - Variable in class org.nd4j.linalg.api.ops.BaseOp
-
- extraArgs() - Method in class org.nd4j.linalg.api.ops.BaseOp
-
- extraArgs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.convolution.Col2Im
-
- extraArgs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.convolution.Im2col
-
- extraArgs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.convolution.Pooling2D
-
- extraArgs() - Method in interface org.nd4j.linalg.api.ops.Op
-
Extra arguments
- extraArgsBuff() - Method in class org.nd4j.linalg.api.ops.BaseOp
-
- extraArgsBuff() - Method in interface org.nd4j.linalg.api.ops.Op
-
Returns a buffer of either float
or double
of the extra args for this buffer
- extraArgsDataBuff() - Method in class org.nd4j.linalg.api.ops.BaseOp
-
- extraArgsDataBuff() - Method in interface org.nd4j.linalg.api.ops.Op
-
Returns the extra args as a data buffer
- extraArgz - Variable in class org.nd4j.linalg.api.ops.BaseOp
-
- extractComponents(INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity
-
- eye(int) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create the identity ndarray
- eye(int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create the identity ndarray
- eye(int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create the identity ndarray
- GarbageWorkspaceReference(MemoryWorkspace, ReferenceQueue<? super MemoryWorkspace>) - Constructor for class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace.GarbageWorkspaceReference
-
- GaussianDistribution - Class in org.nd4j.linalg.api.ops.random.impl
-
This Op generates normal distribution over provided mean and stddev
- GaussianDistribution() - Constructor for class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution
-
- GaussianDistribution(INDArray, double, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution
-
This op fills Z with random values within stddev..mean..stddev boundaries
- GaussianDistribution(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution
-
- GaussianDistribution(INDArray) - Constructor for class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution
-
This op fills Z with random values within -1.0..0..1.0
- GaussianDistribution(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution
-
This op fills Z with random values within stddev..0..stddev
- gaussians(int) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity.Builder
-
Specifies the number of gaussian functions to attempt
fitting against the data.
- gbmv(char, char, int, int, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
gbmv computes a matrix-vector product using a general band matrix and performs one of the following matrix-vector operations:
y := alpha*a*x + beta*y for trans = 'N'or'n';
y := alpha*a'*x + beta*y for trans = 'T'or't';
y := alpha*conjg(a')*x + beta*y for trans = 'C'or'c'.
- gbmv(char, char, int, int, IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
gbmv computes a matrix-vector product using a general band matrix and performs one of the following matrix-vector operations:
y := alpha*a*x + beta*y for trans = 'N'or'n';
y := alpha*a'*x + beta*y for trans = 'T'or't';
y := alpha*conjg(a')*x + beta*y for trans = 'C'or'c'.
- gbmv(char, char, int, int, double, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
-
gbmv computes a matrix-vector product using a general band matrix and performs one of the following matrix-vector operations:
y := alpha*a*x + beta*y for trans = 'N'or'n';
y := alpha*a'*x + beta*y for trans = 'T'or't';
y := alpha*conjg(a')*x + beta*y for trans = 'C'or'c'.
- gbmv(char, char, int, int, IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
-
gbmv computes a matrix-vector product using a general band matrix and performs one of the following matrix-vector operations:
y := alpha*a*x + beta*y for trans = 'N'or'n';
y := alpha*a'*x + beta*y for trans = 'T'or't';
y := alpha*conjg(a')*x + beta*y for trans = 'C'or'c'.
- geev(char, char, INDArray, INDArray, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- geev(char, char, INDArray, INDArray, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
- gelsd(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- gelsd(INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Generalized Least Squares via *GELSD.
- gemm(char, char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
gemm performs a matrix-matrix operation
c := alpha*op(a)*op(b) + beta*c,
where c is an m-by-n matrix,
op(a) is an m-by-k matrix,
op(b) is a k-by-n matrix.
- gemm(INDArray, INDArray, INDArray, boolean, boolean, double, double) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
A convenience method for matrix-matrix operations with transposes.
- gemm(char, char, char, IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
gemm performs a matrix-matrix operation
c := alpha*op(a)*op(b) + beta*c,
where c is an m-by-n matrix,
op(a) is an m-by-k matrix,
op(b) is a k-by-n matrix.
- gemm(char, char, char, double, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level3
-
gemm performs a matrix-matrix operation
c := alpha*op(a)*op(b) + beta*c,
where c is an m-by-n matrix,
op(a) is an m-by-k matrix,
op(b) is a k-by-n matrix.
- gemm(INDArray, INDArray, INDArray, boolean, boolean, double, double) - Method in interface org.nd4j.linalg.api.blas.Level3
-
A convenience method for matrix-matrix operations with transposes.
- gemm(char, char, char, IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.blas.Level3
-
gemm performs a matrix-matrix operation
c := alpha*op(a)*op(b) + beta*c,
where c is an m-by-n matrix,
op(a) is an m-by-k matrix,
op(b) is a k-by-n matrix.
- gemm(double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- gemm(float, INDArray, INDArray, float, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- gemm(IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- gemm(double, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- gemm(float, INDArray, INDArray, float, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- gemm(IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- gemm(INDArray, INDArray, boolean, boolean) - Static method in class org.nd4j.linalg.factory.Nd4j
-
matrix multiply: implements op(a)*op(b)
where op(x) means transpose x (or not) depending on
setting of arguments transposea and transposeb.
so gemm(a,b,false,false) == a.mmul(b), gemm(a,b,true,false) == a.transpose().mmul(b) etc.
- gemm(INDArray, INDArray, INDArray, boolean, boolean, double, double) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Matrix multiply: Implements c = alpha*op(a)*op(b) + beta*c where op(X) means transpose X (or not)
depending on setting of arguments transposeA and transposeB.
Note that matrix c MUST be fortran order, have zero offset and have c.data().length == c.length().
- GemmParams - Class in org.nd4j.linalg.api.blas.params
-
Used for setting the gemm parameters
Separates blas logic from
the run time itself.
- GemmParams(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.blas.params.GemmParams
-
- GemmParams(INDArray, INDArray, INDArray, boolean, boolean) - Constructor for class org.nd4j.linalg.api.blas.params.GemmParams
-
- gemv(char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
gemv computes a matrix-vector product using a general matrix and performs one of the following matrix-vector operations:
y := alpha*a*x + beta*y for trans = 'N'or'n';
y := alpha*a'*x + beta*y for trans = 'T'or't';
y := alpha*conjg(a')*x + beta*y for trans = 'C'or'c'.
- gemv(char, char, IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
gemv computes a matrix-vector product using a general matrix and performs one of the following matrix-vector operations:
y := alpha*a*x + beta*y for trans = 'N'or'n';
y := alpha*a'*x + beta*y for trans = 'T'or't';
y := alpha*conjg(a')*x + beta*y for trans = 'C'or'c'.
- gemv(char, char, double, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
-
gemv computes a matrix-vector product using a general matrix and performs one of the following matrix-vector operations:
y := alpha*a*x + beta*y for trans = 'N'or'n';
y := alpha*a'*x + beta*y for trans = 'T'or't';
y := alpha*conjg(a')*x + beta*y for trans = 'C'or'c'.
- gemv(char, char, IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
-
gemv computes a matrix-vector product using a general matrix and performs one of the following matrix-vector operations:
y := alpha*a*x + beta*y for trans = 'N'or'n';
y := alpha*a'*x + beta*y for trans = 'T'or't';
y := alpha*conjg(a')*x + beta*y for trans = 'C'or'c'.
- gemv(Number, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- gemv(IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- gemv(double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- gemv(float, INDArray, INDArray, float, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- gemv(IComplexDouble, IComplexNDArray, IComplexNDArray, IComplexDouble, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- gemv(IComplexFloat, IComplexNDArray, IComplexNDArray, IComplexFloat, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- gemv(Number, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
************************************************************************
BLAS Level 2
- gemv(double, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- gemv(float, INDArray, INDArray, float, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- gemv(IComplexDouble, IComplexNDArray, IComplexNDArray, IComplexDouble, IComplexNDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- gemv(IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- gemv(IComplexFloat, IComplexNDArray, IComplexNDArray, IComplexFloat, IComplexNDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- GemvParameters - Class in org.nd4j.linalg.api.blas.params
-
Gemv parameters:
The parameters for general matrix
vector operations
- GemvParameters(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.blas.params.GemvParameters
-
- generateGaussianSamples(int) - Method in class org.nd4j.linalg.dimensionalityreduction.PCA
-
Generates a set of count random samples with the same variance and mean and eigenvector/values
as the data set used to initialize the PCA object, with same number of features N.
- generator() - Method in class org.nd4j.linalg.indexing.SpecifiedIndex
-
- geqrf(INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
- geqrf(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Lapack
-
QR decomposiiton of a matrix
Factorize a matrix A such that A = QR
The matrix A is overwritten by the Q component (i.e.
- geqrf(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- geqrf(INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
- ger(char, double, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
performs a rank-1 update of a general m-by-n matrix a:
a := alpha*x*y' + a.
- ger(char, double, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
-
performs a rank-1 update of a general m-by-n matrix a:
a := alpha*x*y' + a.
- ger(Number, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- ger(double, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- ger(float, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- ger(Number, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
- ger(double, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- ger(float, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Compute A <- alpha * x * y^T + A (general rank-1 update)
- gerc(IComplexFloat, IComplexNDArray, IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- gerc(IComplexDouble, IComplexNDArray, IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- gerc(IComplexFloat, IComplexNDArray, IComplexNDArray, IComplexNDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- gerc(IComplexDouble, IComplexNDArray, IComplexNDArray, IComplexNDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- geru(char, IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
performs a rank-1 update of a general m-by-n matrix a, without conjugation:
a := alpha*x*y' + a.
- geru(char, IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
-
performs a rank-1 update of a general m-by-n matrix a, without conjugation:
a := alpha*x*y' + a.
- geru(IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- geru(IComplexDouble, IComplexNDArray, IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- geru(IComplexFloat, IComplexNDArray, IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- geru(IComplexDouble, IComplexNDArray, IComplexNDArray, IComplexNDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- geru(IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Compute A <- alpha * x * y^T + A (general rank-1 update)
- geru(IComplexFloat, IComplexNDArray, IComplexNDArray, IComplexNDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- gesv(INDArray, int[], INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- gesv(INDArray, int[], INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
************************************************************************
LAPACK
- gesvd(INDArray, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
- gesvd(INDArray, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Lapack
-
SVD decomposiiton of a matrix
Factorize a matrix into its singular vectors and eigenvalues
The decomposition is such that:
A = U x S x VT
gesvd = singular value decomposition (SVD) of a general matrix (GE)
- get(INDArrayIndex...) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Returns a subset of this array based on the specified
indexes
- get(INDArrayIndex...) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Returns a subset of this array based on the specified
indexes
- get(INDArrayIndex...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns a subset of this array based on the specified
indexes
- get(INDArrayIndex...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns a subset of this array based on the specified
indexes
- get(T) - Method in interface org.nd4j.linalg.compression.AbstractStorage
-
Get object from the storage, by key
- get(int) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- get(int[]) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- get(String) - Method in interface org.nd4j.linalg.dataset.api.iterator.cache.DataSetCache
-
- get(String) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InFileAndMemoryDataSetCache
-
- get(String) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InFileDataSetCache
-
- get(String) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InMemoryDataSetCache
-
- get(int) - Method in class org.nd4j.linalg.dataset.DataSet
-
Gets a copy of example i
- get(int[]) - Method in class org.nd4j.linalg.dataset.DataSet
-
Gets a copy of example i
- get(T) - Method in class org.nd4j.linalg.memory.stash.BasicStash
-
- get(T) - Method in interface org.nd4j.linalg.memory.stash.Stash
-
- get() - Method in class org.nd4j.linalg.util.AtomicThrowable
-
This method returns current state
- get() - Method in class org.nd4j.linalg.util.DeviceLocal
-
This method returns object local to current deviceId
- get(int) - Method in class org.nd4j.linalg.util.DeviceLocal
-
This method returns object local to target device
- get1DTensorStats(INDArray, int...) - Static method in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil
-
Tensor1DStats, used to efficiently iterate through tensors on a matrix (2d NDArray) for element-wise ops
For example, the offset of each 1d tensor can be calculated using only a single tensorAlongDimension method call,
hence is potentially faster than approaches requiring multiple tensorAlongDimension calls.
Note that this can only (generally) be used for 2d NDArrays.
- get3dPermutedWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get3dReshapedWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get3dSubArraysWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get3dTensorAlongDimensionWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get4dPermutedWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get4dReshapedWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get4dSubArraysWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get4dTensorAlongDimensionWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get5dPermutedWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get5dReshapedWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get5dSubArraysWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get5dTensorAlongDimensionWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get6dPermutedWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get6dReshapedWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- get6dSubArraysWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getAccum() - Method in class org.nd4j.linalg.api.ops.TadCollapseAccumulation
-
- getActivation(INDArray, boolean) - Method in interface org.nd4j.linalg.activations.IActivation
-
Carry out activation function on the input array (usually known as 'preOut' or 'z')
Implementations must overwrite "in", transform in place and return "in"
Can support separate behaviour during test
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationCube
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationELU
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationHardSigmoid
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationHardTanH
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationIdentity
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationLReLU
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationRationalTanh
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationRectifiedTanh
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationReLU
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationRReLU
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationSELU
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationSigmoid
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationSoftmax
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationSoftPlus
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationSoftSign
-
- getActivation(INDArray, boolean) - Method in class org.nd4j.linalg.activations.impl.ActivationTanH
-
- getActivationFunction() - Method in enum org.nd4j.linalg.activations.Activation
-
Creates an instance of the activation function
- getActiveLocation(INDArray) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager
-
This method returns last-updated location for the given INDArray
- getActiveLocation(INDArray) - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager
-
- getAffinityManager() - Static method in class org.nd4j.linalg.factory.Nd4j
-
- getAll3dTestArraysWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getAll4dTestArraysWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getAll5dTestArraysWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getAll6dTestArraysWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getAllTestMatricesWithShape(char, int, int, int) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
Get an array of INDArrays (2d) all with the specified shape.
- getAllTestMatricesWithShape(int, int, int) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
Get an array of INDArrays (2d) all with the specified shape.
- getAndActivateWorkspace() - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
This method gets & activates default workspace
- getAndActivateWorkspace(String) - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
This method gets & activates workspace with a given Id
- getAndActivateWorkspace(WorkspaceConfiguration, String) - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
This method gets & activates default with a given configuration and Id
- getAndSetFinalResult(double) - Method in interface org.nd4j.linalg.api.ops.Accumulation
-
Get and set the final result.
The final result is also stored in the Accumulation op itself (and can be retrieved
by getFinalResult())
In some Accumulation operations, a final operation must be done on the accumulated
result.
- getAndSetFinalResult(float) - Method in interface org.nd4j.linalg.api.ops.Accumulation
-
- getAndSetFinalResult(IComplexNumber) - Method in interface org.nd4j.linalg.api.ops.Accumulation
-
Complex version of getAndSetFinalResult().
- getAndSetFinalResult(double) - Method in class org.nd4j.linalg.api.ops.BaseAccumulation
-
- getAndSetFinalResult(float) - Method in class org.nd4j.linalg.api.ops.BaseAccumulation
-
- getAndSetFinalResult(IComplexNumber) - Method in class org.nd4j.linalg.api.ops.BaseAccumulation
-
- getAndSetFinalResult(double) - Method in class org.nd4j.linalg.api.ops.impl.accum.AMean
-
- getAndSetFinalResult(float) - Method in class org.nd4j.linalg.api.ops.impl.accum.AMean
-
- getAndSetFinalResult(IComplexNumber) - Method in class org.nd4j.linalg.api.ops.impl.accum.AMean
-
- getAndSetFinalResult(double) - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.CosineDistance
-
- getAndSetFinalResult(float) - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.CosineDistance
-
- getAndSetFinalResult(IComplexNumber) - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.CosineDistance
-
- getAndSetFinalResult(double) - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.CosineSimilarity
-
- getAndSetFinalResult(float) - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.CosineSimilarity
-
- getAndSetFinalResult(IComplexNumber) - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.CosineSimilarity
-
- getAndSetFinalResult(double) - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.EuclideanDistance
-
- getAndSetFinalResult(float) - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.EuclideanDistance
-
- getAndSetFinalResult(IComplexNumber) - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.EuclideanDistance
-
- getAndSetFinalResult(double) - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.HammingDistance
-
- getAndSetFinalResult(float) - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.HammingDistance
-
- getAndSetFinalResult(IComplexNumber) - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.HammingDistance
-
- getAndSetFinalResult(double) - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.JaccardDistance
-
- getAndSetFinalResult(float) - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.JaccardDistance
-
- getAndSetFinalResult(IComplexNumber) - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.JaccardDistance
-
- getAndSetFinalResult(double) - Method in class org.nd4j.linalg.api.ops.impl.accum.Mean
-
- getAndSetFinalResult(float) - Method in class org.nd4j.linalg.api.ops.impl.accum.Mean
-
- getAndSetFinalResult(IComplexNumber) - Method in class org.nd4j.linalg.api.ops.impl.accum.Mean
-
- getAndSetFinalResult(double) - Method in class org.nd4j.linalg.api.ops.impl.accum.Norm2
-
- getAndSetFinalResult(float) - Method in class org.nd4j.linalg.api.ops.impl.accum.Norm2
-
- getAndSetFinalResult(IComplexNumber) - Method in class org.nd4j.linalg.api.ops.impl.accum.Norm2
-
- getAndSetFinalResult(double) - Method in class org.nd4j.linalg.api.ops.impl.accum.StandardDeviation
-
- getAndSetFinalResult(float) - Method in class org.nd4j.linalg.api.ops.impl.accum.StandardDeviation
-
- getAndSetFinalResult(IComplexNumber) - Method in class org.nd4j.linalg.api.ops.impl.accum.StandardDeviation
-
- getAndSetFinalResult(double) - Method in class org.nd4j.linalg.api.ops.impl.accum.Variance
-
- getAndSetFinalResult(float) - Method in class org.nd4j.linalg.api.ops.impl.accum.Variance
-
- getAndSetFinalResult(IComplexNumber) - Method in class org.nd4j.linalg.api.ops.impl.accum.Variance
-
- getArguments() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
-
- getArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate
-
- getAutoGcWindow() - Method in class org.nd4j.linalg.memory.BasicMemoryManager
-
- getAutoGcWindow() - Method in interface org.nd4j.linalg.memory.MemoryManager
-
This method reutrns
- getAvailableCompressors() - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
Get the set of available codecs for
compression
- getAverage() - Method in class org.nd4j.linalg.profiler.data.primitives.TimeSet
-
- getAverage(String) - Method in class org.nd4j.linalg.profiler.data.StringAggregator
-
- getAverageLoopTime() - Method in class org.nd4j.linalg.memory.BasicMemoryManager
-
- getAverageLoopTime() - Method in interface org.nd4j.linalg.memory.MemoryManager
-
This method returns average time between invokeGCOccasionally() calls
- getBackend() - Static method in class org.nd4j.linalg.factory.Nd4j
-
- getBatches(List<U>) - Static method in class org.nd4j.linalg.api.ops.aggregates.Batch
-
Helper method to create batch from list of aggregates, for cases when list of aggregates is higher then batchLimit
- getBatches(List<U>, int) - Static method in class org.nd4j.linalg.api.ops.aggregates.Batch
-
Helper method to create batch from list of aggregates, for cases when list of aggregates is higher then batchLimit
- getBlasOffset(INDArray) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil
-
Get blas stride for the
given array
- getBlasStride(INDArray) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil
-
Get blas stride for the
given array
- getBlasVendor() - Method in interface org.nd4j.linalg.api.blas.Blas
-
Returns the BLAS library vendor
- getBlasVendorId() - Method in interface org.nd4j.linalg.api.blas.Blas
-
Returns the BLAS library vendor id
0 - UNKNOWN, 1 - CUBLAS, 2 - OPENBLAS, 3 - MKL
- getBlasWrapper() - Static method in class org.nd4j.linalg.factory.Nd4j
-
- getCachedBytes() - Method in class org.nd4j.linalg.api.ndarray.BaseShapeInfoProvider
-
- getCachedBytes() - Method in interface org.nd4j.linalg.api.ndarray.ShapeInfoProvider
-
This method returns memory used for cache, in bytes
- getCachedBytes() - Method in interface org.nd4j.linalg.cache.ConstantHandler
-
This method returns memory used for cache, in bytes
- getCachedBytes() - Method in interface org.nd4j.linalg.cache.TADManager
-
This method returns memory used for cache, in bytes
- getCharForTranspose(INDArray) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil
-
Returns the proper character for
how to interpret a buffer (fortran being N C being T)
- getColumn(int) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Get the specified column
- getColumn(int) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Returns the specified column.
- getColumn(int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Get the specified column
- getColumn(int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the specified column.
- getColumnNames() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- getColumnNames() - Method in class org.nd4j.linalg.dataset.DataSet
-
Deprecated.
- getColumns(int[]) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Get whole columns from the passed indices.
- getColumns(int[]) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- getColumns(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Get whole columns
from the passed indices.
- getColumns(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Get an INDArray comprised of the specified columns only.
- getComplex(int, IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- getComplex(int, int, IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- getComplex(int) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- getComplex(int, int) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- getComplex(int...) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- getComplex(int) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- getComplex(int, int) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- getComplex(int, IComplexNumber) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- getComplex(int, int, IComplexNumber) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- getComplex(int...) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Get the complex number at the given indices
- getComplexDouble(long) - Method in class org.nd4j.linalg.compression.CompressedDataBuffer
-
- getComplexFloat(long) - Method in class org.nd4j.linalg.compression.CompressedDataBuffer
-
- getComplexStrides(int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Get the strides for the given order and shape
- getComplexStrides(int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Get the strides based on the shape
and NDArrays.order()
- getCompressionType() - Method in interface org.nd4j.linalg.compression.NDArrayCompressor
-
This method returns compression type provided
by specific NDArrayCompressor implementation
- getCompressor(String) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
- getCompressor() - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method returns BasicNDArrayCompressor instance,
suitable for NDArray compression/decompression
at runtime
- getConfig() - Method in interface org.nd4j.linalg.learning.GradientUpdater
-
- getConstantBuffer(int[]) - Method in interface org.nd4j.linalg.cache.ConstantHandler
-
This method returns DataBuffer with
constant equal to input array.
- getConstantBuffer(float[]) - Method in interface org.nd4j.linalg.cache.ConstantHandler
-
This method returns DataBuffer
with constant equal to input array.
- getConstantBuffer(double[]) - Method in interface org.nd4j.linalg.cache.ConstantHandler
-
This method returns DataBuffer with contant equal to input array.
- getConstantHandler() - Static method in class org.nd4j.linalg.factory.Nd4j
-
- getConvolution() - Static method in class org.nd4j.linalg.factory.Nd4j
-
Get the convolution singleton
- getCount(String) - Method in class org.nd4j.linalg.profiler.data.StringCounter
-
- getCovarianceMatrix() - Method in class org.nd4j.linalg.dimensionalityreduction.PCA
-
- getCurrentSize() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
This methos returns current allocated size of this workspace
- getCurrentSize() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method returns current amount of memory allocated for workspace.
- getCurrentWorkspace() - Method in class org.nd4j.linalg.memory.BasicMemoryManager
-
- getCurrentWorkspace() - Method in interface org.nd4j.linalg.memory.MemoryManager
-
- getCyclesCount() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- getDataBufferFactory() - Static method in class org.nd4j.linalg.factory.Nd4j
-
- getDataBufferLogEntries() - Method in class org.nd4j.linalg.api.instrumentation.InMemoryInstrumentation
-
- getDataType() - Method in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
-
- getDataType() - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
-
- getDefault() - Static method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerSerializer
-
Get the default serializer configured with strategies for the built-in normalizer implementations
- getDefaultCompression() - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
Get the default compression algorithm as a string.
- getDescriptor() - Method in interface org.nd4j.linalg.compression.NDArrayCompressor
-
This method returns compression descriptor.
- getDestroyed() - Method in class org.nd4j.linalg.api.instrumentation.InMemoryInstrumentation
-
- getDestroyed() - Method in interface org.nd4j.linalg.api.instrumentation.Instrumentation
-
Get the destroyed ndarrays
- getDeviancePart(double, double) - Static method in class org.nd4j.linalg.api.rng.distribution.impl.SaddlePointExpansion
-
A part of the deviance portion of the saddle point approximation.
- getDeviceForArray(INDArray) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager
-
This method returns id of current device for a given INDArray
- getDeviceForArray(INDArray) - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager
-
- getDeviceForCurrentThread() - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager
-
This method returns deviceId for current thread
- getDeviceForCurrentThread() - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager
-
- getDeviceForThread(Thread) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager
-
This method returns deviceId for specified thread
- getDeviceForThread(long) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager
-
This method returns deviceId for specified threadId
- getDeviceForThread(Thread) - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager
-
- getDeviceForThread(long) - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager
-
- getDeviceId() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
- getDeviceOffset() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method returns current device memory offset within workspace
- getDimension(INDArray, boolean) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil
-
Get the dimension associated with
the given ordering.
- getDimension() - Method in class org.nd4j.linalg.api.ops.BaseBroadcastOp
-
- getDimension() - Method in class org.nd4j.linalg.api.ops.BaseScalarOp
-
- getDimension() - Method in interface org.nd4j.linalg.api.ops.BroadcastOp
-
Dimension to do the vector op along.
- getDimension() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals
-
- getDistributions() - Static method in class org.nd4j.linalg.factory.Nd4j
-
Get the primary distributions
factory
- getDouble(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the elements at the the specified indices
- getDouble(int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getDouble(int, int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getDouble(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Get a double value at the specified indices.
- getDouble(int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Get the double value at the specified linear index in the array
- getDouble(int, int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Get the double value at the specified indices.
- getDouble(INDArray, int...) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get a double based on the array and given indices
- getDoubleData(INDArray) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil
-
Returns the double data
for this ndarray.
- getDoubleData(DataBuffer) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil
-
Returns the double data
for this buffer.
- getDoubleData(INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel
-
- getDoubleData(DataBuffer) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel
-
- getDoubleUnsafe(long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getDoubleUnsafe(long) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Get a scalar
at the given linear offset
- getEigenvalues() - Method in class org.nd4j.linalg.dimensionalityreduction.PCA
-
- getEigenvectors() - Method in class org.nd4j.linalg.dimensionalityreduction.PCA
-
- getElementName(int) - Method in class org.nd4j.linalg.profiler.data.primitives.StackDescriptor
-
- getEntries() - Method in class org.nd4j.linalg.api.instrumentation.InMemoryInstrumentation
-
- getEntryName() - Method in class org.nd4j.linalg.profiler.data.primitives.StackDescriptor
-
- getEnvironment() - Static method in class org.nd4j.linalg.api.environment.Nd4jEnvironment
-
- getEnvironmentInformation() - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
This method return set of key/value and key/key/value objects, describing current environment
- getEnvironmentInformation() - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
This method return set of key/value and
key/key/value objects,
describing current environment
- getErrorCode() - Method in error org.nd4j.linalg.api.blas.BlasException
-
- getExampleMetaData(Class<T>) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Get the example metadata, or null if no metadata has been set
Note: this method results in an unchecked cast - care should be taken when using this!
- getExampleMetaData() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Get the example metadata, or null if no metadata has been set
- getExampleMetaData(Class<T>) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Get the example metadata, or null if no metadata has been set
Note: this method results in an unchecked cast - care should be taken when using this!
- getExampleMetaData() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Get the example metadata, or null if no metadata has been set
- getExampleMetaData() - Method in class org.nd4j.linalg.dataset.DataSet
-
- getExampleMetaData(Class<T>) - Method in class org.nd4j.linalg.dataset.DataSet
-
- getExampleMetaData() - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- getExampleMetaData(Class<T>) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- getExecutioner() - Static method in class org.nd4j.linalg.factory.Nd4j
-
Get the operation executioner instance
- getExecutorService() - Static method in class org.nd4j.linalg.executors.ExecutorServiceProvider
-
- getFeatureMatrix() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- getFeatureMatrix() - Method in class org.nd4j.linalg.dataset.DataSet
-
Get the feature matrix (inputs for the data)
- getFeatureMean(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize
-
- getFeatures() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Returns the features array for the DataSet
- getFeatures() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Get all of the input features, as an array of INDArrays
- getFeatures(int) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Get a single feature/input array
- getFeatures() - Method in class org.nd4j.linalg.dataset.DataSet
-
- getFeatures() - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- getFeatures(int) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- getFeaturesMaskArray() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Input mask array: a mask array for input, where each value is in {0,1} in order to specify whether an input is
actually present or not.
- getFeaturesMaskArray(int) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Get the specified feature mask array.
- getFeaturesMaskArray() - Method in class org.nd4j.linalg.dataset.DataSet
-
- getFeaturesMaskArray(int) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- getFeaturesMaskArrays() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Get the feature mask arrays.
- getFeaturesMaskArrays() - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- getFeatureStats() - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer
-
- getFeatureStats(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer
-
- getFeatureStats() - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer
-
- getFeatureStd(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize
-
- getFFt() - Static method in class org.nd4j.linalg.factory.Nd4j
-
Returns the fft instance
- getFftOp(INDArray, int) - Method in class org.nd4j.linalg.fft.DefaultFFTInstance
-
- getFinalResult() - Method in interface org.nd4j.linalg.api.ops.Accumulation
-
Get the final result (may return null if getAndSetFinalResult has not
been called, or for accumulation ops on complex arrays)
- getFinalResult() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
-
- getFinalResult() - Method in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate
-
- getFinalResult() - Method in class org.nd4j.linalg.api.ops.BaseAccumulation
-
- getFinalResult() - Method in class org.nd4j.linalg.api.ops.BaseIndexAccumulation
-
- getFinalResult() - Method in interface org.nd4j.linalg.api.ops.IndexAccumulation
-
Get the final result of the IndexAccumulation
- getFinalResultComplex() - Method in interface org.nd4j.linalg.api.ops.Accumulation
-
- getFinalResultComplex() - Method in class org.nd4j.linalg.api.ops.BaseAccumulation
-
- getFirstOp() - Method in class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp
-
- getFirstOp() - Method in interface org.nd4j.linalg.api.ops.MetaOp
-
- getFirstOpDescriptor() - Method in class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp
-
- getFirstOpDescriptor() - Method in interface org.nd4j.linalg.api.ops.MetaOp
-
- getFloat(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the elements at the the specified indices
- getFloat(int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getFloat(int, int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getFloat(int[]) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the elements at the the specified indices
- getFloat(int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Return the item at the linear index i
- getFloat(int, int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Return the item at row i column j
Note that this is the same as calling getScalar(new int[]{i,j}
- getFloatData(INDArray) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil
-
Returns the float data
for this ndarray.
- getFloatData(DataBuffer) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil
-
Returns the float data
for this buffer.
- getFloatData(INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel
-
- getFloatData(DataBuffer) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel
-
- getForkJoinPool() - Static method in class org.nd4j.linalg.executors.ExecutorServiceProvider
-
- getGradient(INDArray, int) - Method in class org.nd4j.linalg.learning.legacy.AdaGrad
-
Gets feature specific learning rates
Adagrad keeps a history of gradients being passed in.
- getGradient(double, int, int[]) - Method in class org.nd4j.linalg.learning.legacy.AdaGrad
-
- getGradient(INDArray, int, int[]) - Method in class org.nd4j.linalg.learning.legacy.AdaGrad
-
- getGradientViewArray() - Method in class org.nd4j.linalg.activations.BaseActivationFunction
-
- getGradientViewArray() - Method in interface org.nd4j.linalg.activations.IActivation
-
- getGridDescriptor() - Method in interface org.nd4j.linalg.api.ops.GridOp
-
- getGridDescriptor() - Method in class org.nd4j.linalg.api.ops.impl.grid.BaseGridOp
-
- getHostOffset() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method returns current host memory offset within workspace
- getId() - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
-
- getId() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
This method returns Id of this workspace
- getIfftOp(INDArray, int) - Method in class org.nd4j.linalg.fft.DefaultFFTInstance
-
- getILossFunction() - Method in enum org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction
-
- getImag(int) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- getImag(int) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Get the imaginary component at the specified index
- getIndexingArguments() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
-
- getIndexingArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate
-
- getInitialBlockSize() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method returns number of bytes for first block of circular workspace.
- getInputStats(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
Get normalization statistics for a given input.
- getInputStats() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
Get the map of normalization statistics per input
- getInstance() - Static method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
Get the ndarray compressor
singleton
- getInstance() - Static method in class org.nd4j.linalg.heartbeat.Heartbeat
-
- getInstance() - Static method in class org.nd4j.linalg.profiler.OpProfiler
-
- getInstrumentation() - Static method in class org.nd4j.linalg.factory.Nd4j
-
Gets the instrumentation instance
- getInt(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the elements at the the specified indices
- getInt(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Get an integer value at the specified indices.
- getIntArrayArguments() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
-
- getIntArrayArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate
-
- getInvocationsCount() - Method in class org.nd4j.linalg.profiler.OpProfiler
-
- getLabelMax(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerMinMaxScaler
-
- getLabelMax() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler
-
- getLabelMean(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize
-
- getLabelMean() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize
-
- getLabelMin(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerMinMaxScaler
-
- getLabelMin() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler
-
- getLabelName(int) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- getLabelName(int) - Method in class org.nd4j.linalg.dataset.DataSet
-
- getLabelNames() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Deprecated.
- getLabelNames(INDArray) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- getLabelNames(INDArray) - Method in class org.nd4j.linalg.dataset.DataSet
-
- getLabelNames() - Method in class org.nd4j.linalg.dataset.DataSet
-
Deprecated.
- getLabelNamesList() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- getLabelNamesList() - Method in class org.nd4j.linalg.dataset.DataSet
-
Gets the optional label names
- getLabels() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- getLabels() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator
-
- getLabels() - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator
-
- getLabels() - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator
-
Get dataset iterator record reader labels
- getLabels() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator
-
- getLabels() - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator
-
Deprecated.
- getLabels() - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator
-
- getLabels() - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator
-
- getLabels() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Get all of the labels, as an array of INDArrays
- getLabels(int) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Get a single label/output array
- getLabels() - Method in class org.nd4j.linalg.dataset.DataSet
-
Returns the labels for the dataset
- getLabels() - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator
-
- getLabels() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
-
- getLabels() - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- getLabels(int) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- getLabels() - Method in class org.nd4j.linalg.dataset.ViewIterator
-
- getLabelsMaskArray() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Labels (output) mask array: a mask array for input, where each value is in {0,1} in order to specify whether an
output is actually present or not.
- getLabelsMaskArray(int) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Get the specified label mask array.
- getLabelsMaskArray() - Method in class org.nd4j.linalg.dataset.DataSet
-
- getLabelsMaskArray(int) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- getLabelsMaskArrays() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Get the labels mask arrays.
- getLabelsMaskArrays() - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- getLabelStats() - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer
-
- getLabelStats(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer
-
- getLabelStats() - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer
-
- getLabelStd(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize
-
- getLabelStd() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize
-
- getLabelWidth() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity
-
Returns the width of each label vector.
- getLastCycleAllocations() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
This method returns amount of memory consumed in last successful cycle, in bytes
- getLastCycleAllocations() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method returns number of bytes allocated during last full cycle
- getLastDescriptor() - Method in class org.nd4j.linalg.profiler.data.StackAggregator
-
- getLastGcTime() - Method in class org.nd4j.linalg.memory.BasicMemoryManager
-
- getLastGcTime() - Method in interface org.nd4j.linalg.memory.MemoryManager
-
This method returns time (in milliseconds) of the las System.gc() call
- getLastOp() - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- getLastOp() - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
This method returns name of the last invoked op
- getLd(INDArray) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil
-
Get the leading dimension
for a blas invocation.
- getLeadingOnes() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getLeadingOnes() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Get the number of leading ones in the array shape.
- getLFactor(INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
- getLFactor(INDArray) - Method in interface org.nd4j.linalg.api.blas.Lapack
-
extracts the L (lower triangular) matrix from the LU factor result
L will be the same dimensions as A
- getLongHash(byte[]) - Static method in class org.nd4j.linalg.util.HashUtil
-
This method returns long hash for a given bytes array
- getLongHash(String) - Static method in class org.nd4j.linalg.util.HashUtil
-
This method returns long hash for a given string
- getMatrixMultiplyShape(int[], int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the output shape of a matrix multiply
- getMax(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerMinMaxScaler
-
- getMax() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler
-
- getMaxCycleAllocations() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
This method returns amount of memory consumed by largest successful cycle, in bytes
- getMaxCycleAllocations() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method returns number of bytes of biggest cycle
- getMaximum() - Method in class org.nd4j.linalg.profiler.data.primitives.TimeSet
-
- getMaximum(String) - Method in class org.nd4j.linalg.profiler.data.StringAggregator
-
- getMaxThreads() - Method in interface org.nd4j.linalg.api.blas.Blas
-
- getMean() - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
Access the mean.
- getMean() - Method in class org.nd4j.linalg.dataset.api.iterator.StandardScaler
-
Deprecated.
- getMean() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize
-
- getMean() - Method in class org.nd4j.linalg.dimensionalityreduction.PCA
-
- getMedian() - Method in class org.nd4j.linalg.profiler.data.primitives.TimeSet
-
- getMedian(String) - Method in class org.nd4j.linalg.profiler.data.StringAggregator
-
- getMemoryFootprint() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
This method returns memory used by this DataSet
- getMemoryFootprint() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
This method returns memory amount occupied by this MultiDataSet.
- getMemoryFootprint() - Method in class org.nd4j.linalg.dataset.DataSet
-
This method returns memory used by this DataSet
- getMemoryFootprint() - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
This method returns memory used by this DataSet
- getMemoryManager() - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method returns backend-specific MemoryManager implementation, for low-level memory management
- getMin(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerMinMaxScaler
-
- getMin() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler
-
- getMinimum() - Method in class org.nd4j.linalg.profiler.data.primitives.TimeSet
-
- getMinimum(String) - Method in class org.nd4j.linalg.profiler.data.StringAggregator
-
- getMixedOrderAggregator() - Method in class org.nd4j.linalg.profiler.OpProfiler
-
Dev-time method.
- getNDArrayFactory() - Static method in class org.nd4j.linalg.factory.Nd4j
-
- getNdArrayType() - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
-
- getNewRandomInstance() - Method in class org.nd4j.linalg.factory.RandomFactory
-
This method returns new onject implementing Random interface, initialized with System.currentTimeMillis() as seed
- getNewRandomInstance(long) - Method in class org.nd4j.linalg.factory.RandomFactory
-
This method returns new onject implementing Random interface, initialized with seed value
- getNewRandomInstance(long, long) - Method in class org.nd4j.linalg.factory.RandomFactory
-
This method returns new onject implementing Random interface, initialized with seed value, with size of elements in buffer
- getNMixtures() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity
-
Returns the number of gaussians this loss function
will attempt to find.
- getNodes() - Method in class org.nd4j.linalg.profiler.data.primitives.StackNode
-
- getNumberOfDevices() - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager
-
This method returns number of available devices
- getNumberOfDevices() - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager
-
- getNumberOfExternalAllocations() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method returns number of spilled allocations, that can be purged at the end of block
- getNumberOfPinnedAllocations() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method returns number of pinned allocations, they can be purged after 2 steps.
- getNumberOfTrials() - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
-
Access the number of trials for this distribution.
- getNumericalMean() - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
-
Use this method to get the numerical value of the mean of this
distribution.
- getNumericalMean() - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
-
Use this method to get the numerical value of the mean of this
distribution.
- getNumericalMean() - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
Use this method to get the numerical value of the mean of this
distribution.
- getNumericalMean() - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution
-
Use this method to get the numerical value of the mean of this
distribution.
- getNumericalVariance() - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
-
Use this method to get the numerical value of the variance of this
distribution.
- getNumericalVariance() - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
-
Use this method to get the numerical value of the variance of this
distribution.
- getNumericalVariance() - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
Use this method to get the numerical value of the variance of this
distribution.
- getNumericalVariance() - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution
-
Use this method to get the numerical value of the variance of this
distribution.
- getNumNewAxes() - Method in class org.nd4j.linalg.indexing.IndexInfo
-
- getNumPoints() - Method in class org.nd4j.linalg.indexing.IndexInfo
-
- getOccasionalGcFrequency() - Method in class org.nd4j.linalg.memory.BasicMemoryManager
-
- getOccasionalGcFrequency() - Method in interface org.nd4j.linalg.memory.MemoryManager
-
This method returns
- getOffset(long, int[], int[], int...) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get an offset for retrieval
from a data buffer
based on the given
shape stride and given indices
- getOffset(IntBuffer, int...) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the offset of the specified indices from the shape info buffer
- getOffset(DataBuffer, int...) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the offset of the specified indices from the shape info buffer
- getOffset(int[], int...) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- getOffset(DataBuffer, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the offset of the specified [row,col] for the 2d array
- getOffset(IntBuffer, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the offset of the specified [row,col] for the 2d array
- getOffset(IntBuffer, int, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the offset of the specified [dim0,dim1,dim2] for the 3d array
- getOffset(DataBuffer, int, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the offset of the specified [dim0,dim1,dim2] for the 3d array
- getOffset(IntBuffer, int, int, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the offset of the specified [dim0,dim1,dim2,dim3] for the 4d array
- getOffset(DataBuffer, int, int, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the offset of the specified [dim0,dim1,dim2,dim3] for the 4d array
- getOffsetUnsafe(DataBuffer, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- getOffsetUnsafe(int[], int, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- getOffsetUnsafe(DataBuffer, int, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- getOffsetUnsafe(int[], int, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- getOffsetUnsafe(DataBuffer, int, int, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- getOffsetUnsafe(int[], int, int, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- getOpClass(Op) - Method in class org.nd4j.linalg.profiler.OpProfiler
-
This method returns op class name
- getOpFactory() - Static method in class org.nd4j.linalg.factory.Nd4j
-
Get the operation factory
- getOpType(Op) - Static method in class org.nd4j.linalg.api.ops.BaseOp
-
- getOrder(int[], int[], int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Infer order from
- getOrder(INDArray) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Infer the order for the ndarray based on the
array's strides
- getOutputStats(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
Get normalization statistics for a given output.
- getOutputStats() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
Get the map of normalization statistics per output
- getParametersViewArray() - Method in class org.nd4j.linalg.activations.BaseActivationFunction
-
- getParametersViewArray() - Method in interface org.nd4j.linalg.activations.IActivation
-
- getParentWorkspace() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
This method returns parent Workspace, if any.
- getParentWorkspace() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method returns parent Workspace, if any.
- getPercentile(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getPermutedWithShape(char, int, int, int) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getPermutedWithShape(int, int, int) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getPFactor(int, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
- getPFactor(int, INDArray) - Method in interface org.nd4j.linalg.api.blas.Lapack
-
This method takes one of the ipiv returns from LAPACK and creates
the permutation matrix.
- getPinnedSize() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method returns number of bytes in pinned allocations.
- getPreProcessor() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator
-
- getPreProcessor() - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator
-
- getPreProcessor() - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator
-
Returns preprocessors, if defined
- getPreProcessor() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator
-
- getPreProcessor() - Method in interface org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator
-
- getPreProcessor() - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator
-
Deprecated.
- getPreProcessor() - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator
-
- getPreProcessor() - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator
-
- getPreProcessor() - Method in class org.nd4j.linalg.dataset.api.iterator.TestMultiDataSetIterator
-
- getPreProcessor() - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator
-
- getPreProcessor() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
-
- getPreProcessor() - Method in class org.nd4j.linalg.dataset.ViewIterator
-
- getProbabilityOfSuccess() - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
-
Access the probability of success for this distribution.
- getProfilingMode() - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- getProfilingMode() - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
Ths method returns current profiling
- getQueueLength() - Method in interface org.nd4j.linalg.api.ops.executioner.GridExecutioner
-
This method returns number of operations currently enqueued for execution
- getRandom() - Static method in class org.nd4j.linalg.factory.Nd4j
-
Get the current random generator
- getRandom() - Method in class org.nd4j.linalg.factory.RandomFactory
-
This method returns Random implementation instance associated with calling thread
- getRandomBroadCastShape(long, int, int) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
Create an ndarray
of
- getRandomFactory() - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method returns RandomFactory instance
- getRandomGenerator() - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
- getRange(int, int) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- getRange() - Method in class org.nd4j.linalg.dataset.api.preprocessor.stats.MinMaxStats
-
Get the feature wise
range for the statistics.
- getRange(int, int) - Method in class org.nd4j.linalg.dataset.DataSet
-
- getReal() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- getReal(int) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- getReal(int) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Get the real component at the specified index
- getReal() - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Gets the real portion of this complex ndarray
- getRealArguments() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
-
- getRealArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate
-
- getReducedShape(int[], int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the shape of the reduced array
- getReferences() - Method in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
-
- getReferences() - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
-
- getRequiredBatchMemorySize() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
-
This method returns amount of memory required for batch creation for this specific Aggregate
- getRequiredBatchMemorySize() - Method in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate
-
- getReshapedWithShape(char, int, int, int) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getReshapedWithShape(int, int, int) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getrf(INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
- getrf(INDArray) - Method in interface org.nd4j.linalg.api.blas.Lapack
-
LU decomposiiton of a matrix
Factorize a matrix A
The matrix A is overridden by the L & U combined.
- getri(int, INDArray, int, int[], INDArray, int, int) - Method in interface org.nd4j.linalg.api.blas.Lapack
-
Generate inverse ggiven LU decomp
- getRootDir() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
-
- getRow(int) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Get a copy of a row.
- getRow(int) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Returns the specified row.
- getRow(int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Get a copy of a row.
- getRow(int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the specified row.
- getRows(int[]) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Get whole rows from the passed indices.
- getRows(int[]) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- getRows(int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Get whole rows from the passed indices.
- getRows(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Get an INDArray comprised of the specified rows only.
- getScalar(int...) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Fetch a particular number on a multi dimensional scale.
- getScalar(int, int) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Returns the element at the specified row/column
This will throw an exception if the
- getScalar(int) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Returns the element at the specified index
- getScalar(int...) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Fetch a particular number on a multi dimensional scale.
- getScalar(int, int) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Returns the element at the specified row/column
This will throw an exception if the
- getScalar(int) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Returns the element at the specified index
- getScalar(int, int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the element at the specified row/column
This will throw an exception if the
- getScalar(int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getScalar(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Fetch a particular number on a multi dimensional scale.
- getScalar(int, int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the element at the specified row/column
This will throw an exception if the
- getScalar(int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the element at the specified index
- getScalar(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the elements at the the specified indices
- getScalarAggregator() - Method in class org.nd4j.linalg.profiler.OpProfiler
-
- getSecondOp() - Method in class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp
-
- getSecondOp() - Method in interface org.nd4j.linalg.api.ops.MetaOp
-
- getSecondOpDescriptor() - Method in class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp
-
- getSecondOpDescriptor() - Method in interface org.nd4j.linalg.api.ops.MetaOp
-
- getSeed() - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
- getSeed() - Method in interface org.nd4j.linalg.api.rng.Random
-
Gets the long seed of the underlying
random number generator.
- getShape() - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
-
- getShapeInfoProvider() - Static method in class org.nd4j.linalg.factory.Nd4j
-
- getShapes() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
-
- getShapes() - Method in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate
-
- getSharedMemorySize() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
-
This method returns amount of shared memory required for this specific Aggregate.
- getSharedMemorySize() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateAxpy
-
This method returns amount of shared memory required for this specific Aggregate.
- getSharedMemorySize() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateCBOW
-
- getSharedMemorySize() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateDot
-
This method returns amount of shared memory required for this specific Aggregate.
- getSharedMemorySize() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateGEMM
-
- getSharedMemorySize() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateSkipGram
-
This method returns amount of shared memory required for this specific Aggregate.
- getSharedMemorySize() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.HierarchicSoftmax
-
This method returns amount of shared memory required for this specific Aggregate.
- getSolverAbsoluteAccuracy() - Method in class org.nd4j.linalg.api.rng.distribution.BaseDistribution
-
Returns the solver absolute accuracy for inverse cumulative computation.
- getSolverAbsoluteAccuracy() - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
Returns the solver absolute accuracy for inverse cumulative computation.
- getSpilledSize() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method returns number of bytes in spilled allocations.
- getStackTraceElements() - Method in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
-
- getStackTraceElements() - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
-
- getStandardDeviation() - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
Access the standard deviation.
- getStash(T) - Method in class org.nd4j.linalg.memory.stash.BasicStashManager
-
- getStash(T) - Method in interface org.nd4j.linalg.memory.stash.StashManager
-
- getStateBuffer() - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
This method returns pointer to RNG buffer
- getStateBuffer() - Method in interface org.nd4j.linalg.api.rng.Random
-
This method returns pointer to RNG buffer
- getStatePointer() - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
This method returns pointer to RNG state structure.
- getStatePointer() - Method in interface org.nd4j.linalg.api.rng.Random
-
This method returns pointer to RNG state structure.
- getStatus() - Method in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
-
- getStd() - Method in class org.nd4j.linalg.dataset.api.iterator.StandardScaler
-
Deprecated.
- getStd() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize
-
- getStepNumber() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method returns step number.
- getStillAlive() - Method in class org.nd4j.linalg.api.instrumentation.InMemoryInstrumentation
-
- getStillAlive() - Method in interface org.nd4j.linalg.api.instrumentation.Instrumentation
-
Get the still alive ndarrays
- getStirlingError(double) - Static method in class org.nd4j.linalg.api.rng.distribution.impl.SaddlePointExpansion
-
Compute the error of Stirling's series at the given value.
- getStride() - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
-
- getStrideForOrdering(INDArray) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil
-
Return the proper stride
through a vector
relative to the ordering of the array
This is for incX/incY parameters in BLAS.
- getStrides(int[], char) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- getStrides(int[], char) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getStrides(int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Get the strides for the given order and shape
- getStrides(int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Get the strides based on the shape
and NDArrays.order()
- getSubMatricesWithShape(int, int, int) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getSubMatricesWithShape(char, int, int, int) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getSum() - Method in class org.nd4j.linalg.profiler.data.primitives.TimeSet
-
- getSum(String) - Method in class org.nd4j.linalg.profiler.data.StringAggregator
-
- getSupportedClass() - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.CustomSerializerStrategy
-
Get the class of the supported custom serializer
- getSupportedType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.CustomSerializerStrategy
-
- getSupportedType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.MinMaxSerializerStrategy
-
- getSupportedType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.MultiHybridSerializerStrategy
-
- getSupportedType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.MultiMinMaxSerializerStrategy
-
- getSupportedType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.MultiStandardizeSerializerStrategy
-
- getSupportedType() - Method in interface org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerSerializerStrategy
-
Get the enum type of the supported normalizer
- getSupportedType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.StandardizeSerializerStrategy
-
- getSupportLowerBound() - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution
-
Access the lower bound of the support.
- getSupportUpperBound() - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution
-
Access the upper bound of the support.
- getTADLength(int[], int...) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- getTADManager() - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- getTADManager() - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
This method returns TADManager instance used for this OpExecutioner
- getTADOnlyShapeInfo(INDArray, int...) - Method in interface org.nd4j.linalg.cache.TADManager
-
This method returns TAD shapeInfo and all offsets
for specified tensor and dimensions.
- getTargetMax() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerMinMaxScaler
-
- getTargetMax() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler
-
- getTargetMin() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerMinMaxScaler
-
- getTargetMin() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler
-
- getTensorAlongDimensionMatricesWithShape(char, int, int, int) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getTensorAlongDimensionMatricesWithShape(int, int, int) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getTest() - Method in class org.nd4j.linalg.dataset.SplitTestAndTrain
-
- getThisCycleAllocations() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
This method returns amount of memory consumed in last successful cycle, in bytes
- getThisCycleAllocations() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method returns number of bytes allocated during THIS cycle
- getThreadId() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
- getThreadsPerInstance() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
-
This method returns desired number of threads per Aggregate instance
PLEASE NOTE: this method is especially important for CUDA backend.
- getThreadsPerInstance() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateAxpy
-
This method returns desired number of threads per Aggregate instance
PLEASE NOTE: this method is especially important for
CUDA backend.
- getThreadsPerInstance() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateCBOW
-
- getThreadsPerInstance() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateDot
-
This method returns desired number of threads per Aggregate instance
PLEASE NOTE: this method is especially important for CUDA backend.
- getThreadsPerInstance() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateGEMM
-
- getThreadsPerInstance() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateSkipGram
-
This method returns desired number of threads per Aggregate instance
PLEASE NOTE: this method is especially important for CUDA backend.
- getThreadsPerInstance() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.HierarchicSoftmax
-
This method returns desired number of threads per Aggregate instance
PLEASE NOTE: this method is especially important for CUDA backend.
- getTimestamp() - Method in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
-
- getTotalEventsNumber() - Method in class org.nd4j.linalg.profiler.data.primitives.StackTree
-
- getTotalEventsNumber() - Method in class org.nd4j.linalg.profiler.data.StackAggregator
-
- getTrailingOnes() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getTrailingOnes() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Get the number of trailing ones in the array shape.
- getTrain() - Method in class org.nd4j.linalg.dataset.SplitTestAndTrain
-
- getTransposedMatrixWithShape(char, int, int, int) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getTransposedMatrixWithShape(int, int, int) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- getType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler
-
- getType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
- getType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerMinMaxScaler
-
- getType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize
-
- getType() - Method in interface org.nd4j.linalg.dataset.api.preprocessor.Normalizer
-
Get the enum type of this normalizer
- getType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler
-
- getType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize
-
- getType() - Method in class org.nd4j.linalg.dataset.api.preprocessor.VGG16ImagePreProcessor
-
- getUFactor(INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
- getUFactor(INDArray) - Method in interface org.nd4j.linalg.api.blas.Lapack
-
extracts the U (upper triangular) matrix from the LU factor result
U will be n x n matrix where n = num cols in A
- getUniqueBranchesNumber() - Method in class org.nd4j.linalg.profiler.data.primitives.StackTree
-
- getUniqueBranchesNumber() - Method in class org.nd4j.linalg.profiler.data.StackAggregator
-
- getValue() - Method in class org.nd4j.linalg.indexing.conditions.And
-
- getValue() - Method in class org.nd4j.linalg.indexing.conditions.BaseCondition
-
- getValue() - Method in interface org.nd4j.linalg.indexing.conditions.Condition
-
- getValue() - Method in class org.nd4j.linalg.indexing.conditions.ConditionEquals
-
- getValue() - Method in class org.nd4j.linalg.indexing.conditions.Not
-
- getValue() - Method in class org.nd4j.linalg.indexing.conditions.Or
-
- getVersionInfos() - Static method in class org.nd4j.versioncheck.VersionCheck
-
- getWorkspaceConfiguration() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
This method returns WorkspaceConfiguration bean that was used for given Workspace instance
- getWorkspaceForCurrentThread() - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
This method will return workspace with default configuration and default id.
- getWorkspaceForCurrentThread(String) - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
- getWorkspaceManager() - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method returns WorkspaceManager implementation to be used within this JVM process
- GradientUpdater<T extends IUpdater> - Interface in org.nd4j.linalg.learning
-
Gradient modifications: Calculates an update and tracks related information for gradient changes over time
for handling updates.
- GreaterThan - Class in org.nd4j.linalg.api.ops.impl.transforms.comparison
-
Bit mask over the ndarrays as to whether
the components are greater than or not
- GreaterThan() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.GreaterThan
-
- GreaterThan(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.GreaterThan
-
- GreaterThan(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.GreaterThan
-
- GreaterThan(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.GreaterThan
-
- GreaterThan(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.GreaterThan
-
- greaterThan(IComplexNumber) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
-
- greaterThan(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
-
- GreaterThan - Class in org.nd4j.linalg.indexing.conditions
-
Created by agibsonccc on 10/8/14.
- GreaterThan() - Constructor for class org.nd4j.linalg.indexing.conditions.GreaterThan
-
Special constructor for pairwise boolean operations.
- GreaterThan(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.GreaterThan
-
- GreaterThan(IComplexNumber) - Constructor for class org.nd4j.linalg.indexing.conditions.GreaterThan
-
- GreaterThanOrEqual - Class in org.nd4j.linalg.api.ops.impl.transforms.comparison
-
Bit mask over the ndarrays as to whether
the components are greater than or equal or not
- GreaterThanOrEqual() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.GreaterThanOrEqual
-
- GreaterThanOrEqual(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.GreaterThanOrEqual
-
- GreaterThanOrEqual(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.GreaterThanOrEqual
-
- GreaterThanOrEqual(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.GreaterThanOrEqual
-
- GreaterThanOrEqual(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.GreaterThanOrEqual
-
- greaterThanOrEqual(IComplexNumber) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
-
- greaterThanOrEqual(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
-
- GreaterThanOrEqual - Class in org.nd4j.linalg.indexing.conditions
-
Created by agibsonccc on 10/8/14.
- GreaterThanOrEqual() - Constructor for class org.nd4j.linalg.indexing.conditions.GreaterThanOrEqual
-
Special constructor for pairwise boolean operations.
- GreaterThanOrEqual(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.GreaterThanOrEqual
-
- GreaterThanOrEqual(IComplexNumber) - Constructor for class org.nd4j.linalg.indexing.conditions.GreaterThanOrEqual
-
- greaterThanOrEqual(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
1 if greater than or equal to 0 otherwise (at each element)
- greaterThanOrEqual(INDArray, INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Eps function
- grid - Variable in class org.nd4j.linalg.api.ops.impl.grid.BaseGridOp
-
- GridDescriptor - Class in org.nd4j.linalg.api.ops.grid
-
- GridDescriptor() - Constructor for class org.nd4j.linalg.api.ops.grid.GridDescriptor
-
- GridExecutioner - Interface in org.nd4j.linalg.api.ops.executioner
-
- GridOp - Interface in org.nd4j.linalg.api.ops
-
MetaOp is special op, that contains multiple ops
- GridPointers - Class in org.nd4j.linalg.api.ops.grid
-
POJO describing OP
- GridPointers(Op, int...) - Constructor for class org.nd4j.linalg.api.ops.grid.GridPointers
-
- gt(Number) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- gt(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- gt(IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- gt(Number) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- gt(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- gt(IComplexNumber) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- gt(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- gt(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- gt(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the binary ndarray for "Greater" comparison.
- gt(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the binary ndarray for "Greter" comparison.
- gte(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- gte(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns binary ndarray for "Greter or equals" comparison.
- gtei(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- gtei(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the binary ndarray for "Greter or equals" comparison.
- gti(Number) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- gti(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- gti(IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- gti(Number) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- gti(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- gti(IComplexNumber) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- gti(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- gti(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- gti(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the binary ndarray for "Greter" comparison.
- gti(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the binary ndarray for "Greter" comparison.
- guid - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- IActivation - Interface in org.nd4j.linalg.activations
-
Interface for implementing custom activation functions
- iamax(int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- iamax(int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- iamax(INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
finds the element of a
vector that has the largest absolute value.
- iamax(IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
finds the element of a vector that has the largest absolute value.
- iamax(INDArray) - Method in interface org.nd4j.linalg.api.blas.Level1
-
finds the element of a
vector that has the largest absolute value.
- iamax(int, INDArray, int) - Method in interface org.nd4j.linalg.api.blas.Level1
-
finds the element of a
vector that has the largest absolute value.
- iamax(int, DataBuffer, int, int) - Method in interface org.nd4j.linalg.api.blas.Level1
-
Index of largest absolute value
- iamax(IComplexNDArray) - Method in interface org.nd4j.linalg.api.blas.Level1
-
finds the element of a vector that has the largest absolute value.
- IAMax - Class in org.nd4j.linalg.api.ops.impl.indexaccum
-
Calculate the index of the max absolute value over a vector
- IAMax() - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.IAMax
-
- IAMax(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.IAMax
-
- IAMax(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.IAMax
-
- IAMax(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.IAMax
-
- iamax(INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- iamax(IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- iamax(INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Compute index of element with largest absolute value (index of absolute
value maximum)
- iamax(IComplexNDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Compute index of element with largest absolute value (complex version).
- iamin(INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
finds the element of a vector that has the minimum absolute value.
- iamin(IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
finds the element of
a vector that has the minimum absolute value.
- iamin(INDArray) - Method in interface org.nd4j.linalg.api.blas.Level1
-
finds the element of a vector that has the minimum absolute value.
- iamin(IComplexNDArray) - Method in interface org.nd4j.linalg.api.blas.Level1
-
finds the element of a vector that has the minimum absolute value.
- IAMin - Class in org.nd4j.linalg.api.ops.impl.indexaccum
-
Calculate the index of the max absolute value over a vector
- IAMin() - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.IAMin
-
- IAMin(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.IAMin
-
- IAMin(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.IAMin
-
- IAMin(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.IAMin
-
- icamax(int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- IComplexNDArray - Interface in org.nd4j.linalg.api.complex
-
Complex numbers
- id() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- id() - Method in class org.nd4j.linalg.dataset.DataSet
-
- id - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- idamax(int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- idamax(int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- Identity - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Identity function
- Identity() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Identity
-
- Identity(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Identity
-
- Identity(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Identity
-
- Identity(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Identity
-
- Identity(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Identity
-
- Identity - Class in org.nd4j.linalg.indexing.functions
-
Created by agibsonccc on 10/8/14.
- Identity() - Constructor for class org.nd4j.linalg.indexing.functions.Identity
-
- identity(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- identity(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Identity function
- ifft(INDArray, int, int) - Method in class org.nd4j.linalg.fft.DefaultFFTInstance
-
IFFT along a particular dimension
- ifft(IComplexNDArray, int, int) - Method in class org.nd4j.linalg.fft.DefaultFFTInstance
-
1d discrete fourier op, note that this will
throw an exception if the passed in input
isn't a vector.
- ifft(INDArray, int) - Method in class org.nd4j.linalg.fft.DefaultFFTInstance
-
FFT along a particular dimension
- ifft(IComplexNDArray) - Method in class org.nd4j.linalg.fft.DefaultFFTInstance
-
1d discrete fourier op, note that this will
throw an exception if the passed in input
isn't a vector.
- ifft(INDArray, int, int) - Static method in class org.nd4j.linalg.fft.FFT
-
IFFT along a particular dimension
- ifft(IComplexNDArray) - Static method in class org.nd4j.linalg.fft.FFT
-
1d discrete fourier op, note that this will
throw an exception if the passed in input
isn't a vector.
- ifft(INDArray, int) - Static method in class org.nd4j.linalg.fft.FFT
-
FFT along a particular dimension
- ifft(IComplexNDArray, int, int) - Static method in class org.nd4j.linalg.fft.FFT
-
1d discrete fourier op, note that this will
throw an exception if the passed in input
isn't a vector.
- ifft(INDArray, int, int) - Method in interface org.nd4j.linalg.fft.FFTInstance
-
IFFT along a particular dimension
- ifft(IComplexNDArray) - Method in interface org.nd4j.linalg.fft.FFTInstance
-
1d discrete fourier op, note that this will
throw an exception if the passed in input
isn't a vector.
- ifft(INDArray, int) - Method in interface org.nd4j.linalg.fft.FFTInstance
-
FFT along a particular dimension
- ifft(IComplexNDArray, int, int) - Method in interface org.nd4j.linalg.fft.FFTInstance
-
1d discrete fourier op, note that this will
throw an exception if the passed in input
isn't a vector.
- ifftn(INDArray, int, int) - Method in class org.nd4j.linalg.fft.BaseFFTInstance
-
ND IFFT, computes along the first on singleton dimension of
op
- ifftn(IComplexNDArray, int, int) - Method in class org.nd4j.linalg.fft.BaseFFTInstance
-
ND IFFT
- ifftn(IComplexNDArray, int) - Method in class org.nd4j.linalg.fft.BaseFFTInstance
-
- ifftn(IComplexNDArray) - Method in class org.nd4j.linalg.fft.BaseFFTInstance
-
- ifftn(INDArray) - Method in class org.nd4j.linalg.fft.BaseFFTInstance
-
- ifftn(INDArray, int, int) - Static method in class org.nd4j.linalg.fft.FFT
-
ND IFFT, computes along the first on singleton dimension of
op
- ifftn(IComplexNDArray, int, int) - Static method in class org.nd4j.linalg.fft.FFT
-
ND IFFT
- ifftn(IComplexNDArray) - Static method in class org.nd4j.linalg.fft.FFT
-
- ifftn(INDArray, int, int) - Method in interface org.nd4j.linalg.fft.FFTInstance
-
ND IFFT, computes along the first on singleton dimension of
op
- ifftn(IComplexNDArray, int, int) - Method in interface org.nd4j.linalg.fft.FFTInstance
-
ND IFFT
- ifftn(IComplexNDArray, int) - Method in interface org.nd4j.linalg.fft.FFTInstance
-
- ifftn(IComplexNDArray) - Method in interface org.nd4j.linalg.fft.FFTInstance
-
- ifftn(INDArray) - Method in interface org.nd4j.linalg.fft.FFTInstance
-
- IllegalOpException - Exception in org.nd4j.linalg.api.ops.exception
-
Thrown with illegal operations
- IllegalOpException() - Constructor for exception org.nd4j.linalg.api.ops.exception.IllegalOpException
-
- IllegalOpException(String) - Constructor for exception org.nd4j.linalg.api.ops.exception.IllegalOpException
-
- IllegalOpException(String, Throwable) - Constructor for exception org.nd4j.linalg.api.ops.exception.IllegalOpException
-
- IllegalOpException(Throwable) - Constructor for exception org.nd4j.linalg.api.ops.exception.IllegalOpException
-
- IllegalOpException(String, Throwable, boolean, boolean) - Constructor for exception org.nd4j.linalg.api.ops.exception.IllegalOpException
-
- ILossFunction - Interface in org.nd4j.linalg.lossfunctions
-
Interface for loss functions
- Im2col - Class in org.nd4j.linalg.api.ops.impl.transforms.convolution
-
Im 2 col operation
- Im2col() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.convolution.Im2col
-
- Im2col(INDArray, int, int, int, int, int, int, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.convolution.Im2col
-
- Im2col(INDArray, int, int, int, int, int, int, boolean, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.convolution.Im2col
-
- im2col(INDArray, int[], int[], int[]) - Static method in class org.nd4j.linalg.convolution.Convolution
-
- im2col(INDArray, int, int, int, int, int, int, boolean) - Static method in class org.nd4j.linalg.convolution.Convolution
-
Implement column formatted images
- im2col(INDArray, int, int, int, int, int, int, boolean, INDArray) - Static method in class org.nd4j.linalg.convolution.Convolution
-
- im2col(INDArray, int, int, int, int, int, int, int, boolean) - Static method in class org.nd4j.linalg.convolution.Convolution
-
Implement column formatted images
- im2col(INDArray, int[], int[], int[]) - Static method in class org.nd4j.linalg.convolution.OldConvolution
-
- im2col(INDArray, int, int, int, int, int, int, int, boolean) - Static method in class org.nd4j.linalg.convolution.OldConvolution
-
Implement column formatted images
- im2colShape - Variable in class org.nd4j.linalg.api.ops.impl.transforms.convolution.Pooling2D
-
- imag() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Get imaginary part of the matrix.
- imag() - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Return all of the imaginary components in this ndarray
- ImageFlatteningDataSetPreProcessor - Class in org.nd4j.linalg.dataset.api.preprocessor
-
A DataSetPreProcessor used to flatten a 4d CNN features array to a flattened 2d format (for use in networks such
as a DenseLayer/multi-layer perceptron)
- ImageFlatteningDataSetPreProcessor() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.ImageFlatteningDataSetPreProcessor
-
- ImagePreProcessingScaler - Class in org.nd4j.linalg.dataset.api.preprocessor
-
Created by susaneraly on 6/23/16.
- ImagePreProcessingScaler() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler
-
- ImagePreProcessingScaler(double, double) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler
-
- ImagePreProcessingScaler(double, double, int) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler
-
Preprocessor can take a range as minRange and maxRange
- IMax - Class in org.nd4j.linalg.api.ops.impl.indexaccum
-
Calculate the index
of max value over a vector
- IMax() - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.IMax
-
- IMax(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.IMax
-
- IMax(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.IMax
-
- IMax(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.IMax
-
- IMin - Class in org.nd4j.linalg.api.ops.impl.indexaccum
-
Calculate the index of min value over a vector
- IMin() - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.IMin
-
- IMin(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.IMin
-
- IMin(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.IMin
-
- IMin(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.IMin
-
- inclusive - Variable in class org.nd4j.linalg.indexing.IntervalIndex
-
- incrementCount() - Method in class org.nd4j.linalg.profiler.data.StackAggregator
-
- incrementCount(long) - Method in class org.nd4j.linalg.profiler.data.StackAggregator
-
- incrementCount(String) - Method in class org.nd4j.linalg.profiler.data.StringCounter
-
- ind2sub(int[], long, long) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Convert a linear index to
the equivalent nd index
- ind2sub(int[], long) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Convert a linear index to
the equivalent nd index.
- ind2sub(INDArray, long) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Convert a linear index to
the equivalent nd index based on the shape of the specified ndarray.
- ind2subC(int[], long, long) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Convert a linear index to
the equivalent nd index
- ind2subC(int[], long) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Convert a linear index to
the equivalent nd index.
- ind2subC(INDArray, long) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Convert a linear index to
the equivalent nd index based on the shape of the specified ndarray.
- INDArray - Interface in org.nd4j.linalg.api.ndarray
-
Interface for an ndarray
- INDArrayIndex - Interface in org.nd4j.linalg.indexing
-
An index in to a particular dimension.
- INDArrayIterator - Class in org.nd4j.linalg.api.iter
-
- INDArrayIterator(INDArray) - Constructor for class org.nd4j.linalg.api.iter.INDArrayIterator
-
- index(int, int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Deprecated.
- index(int, int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Return the linear index of the specified row and column
- index - Variable in class org.nd4j.linalg.indexing.IntervalIndex
-
- IndexAccumulation - Interface in org.nd4j.linalg.api.ops
-
An index accumulation is an operation that returns an index within
a NDArray.
Examples of IndexAccumulation operations include finding the index
of the minimim value, index of the maximum value, index of the first
element equal to value y, index of the maximum pair-wise difference
between two NDArrays X and Y etc.
Index accumulation is similar to
Accumulation in that both are
accumulation/reduction operations, however index accumulation returns
an integer corresponding to an index, rather than a real (or complex)
value.
Index accumulation operations generally have 3 inputs:
x -> the origin ndarray
y -> the pairwise ndarray (frequently null/not applicable)
n -> the number of times to accumulate
Note that IndexAccumulation op implementations should be stateless
(other than the final result and x/y/n arguments) and hence threadsafe,
such that they may be parallelized using the update, combineSubResults
and set/getFinalResults methods.
- indexesFor(int...) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
-
Add indexes for the given shape
- IndexInfo - Class in org.nd4j.linalg.indexing
-
- IndexInfo(INDArrayIndex...) - Constructor for class org.nd4j.linalg.indexing.IndexInfo
-
- indexingArguments - Variable in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate
-
- Indices - Class in org.nd4j.linalg.indexing
-
Indexing util.
- Indices() - Constructor for class org.nd4j.linalg.indexing.Indices
-
- InequalityHandling - Enum in org.nd4j.linalg.dataset.api.iterator.enums
-
This enum describes different handling options for situations once one of producer runs out of data
- InFileAndMemoryDataSetCache - Class in org.nd4j.linalg.dataset.api.iterator.cache
-
Created by anton on 7/20/16.
- InFileAndMemoryDataSetCache(File) - Constructor for class org.nd4j.linalg.dataset.api.iterator.cache.InFileAndMemoryDataSetCache
-
- InFileAndMemoryDataSetCache(Path) - Constructor for class org.nd4j.linalg.dataset.api.iterator.cache.InFileAndMemoryDataSetCache
-
- InFileAndMemoryDataSetCache(String) - Constructor for class org.nd4j.linalg.dataset.api.iterator.cache.InFileAndMemoryDataSetCache
-
- InFileDataSetCache - Class in org.nd4j.linalg.dataset.api.iterator.cache
-
Created by anton on 7/18/16.
- InFileDataSetCache(File) - Constructor for class org.nd4j.linalg.dataset.api.iterator.cache.InFileDataSetCache
-
- InFileDataSetCache(Path) - Constructor for class org.nd4j.linalg.dataset.api.iterator.cache.InFileDataSetCache
-
- InFileDataSetCache(String) - Constructor for class org.nd4j.linalg.dataset.api.iterator.cache.InFileDataSetCache
-
- init(int[], int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.BaseAccumulation
-
- init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.BaseIndexAccumulation
-
- init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.BaseOp
-
- init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.accum.Variance
-
- init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarMax
-
- init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarMin
-
- init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarSet
-
- init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.AddOp
-
- init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.Atan2Op
-
- init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.Axpy
-
- init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.DivOp
-
- init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.FModOp
-
- init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.MulOp
-
- init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RDivOp
-
- init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RemainderOp
-
- init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RSubOp
-
- init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.SubOp
-
- init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndReplace
-
- init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet
-
- init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.LeakyReLU
-
- init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.LeakyReLUDerivative
-
- init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.LegacyDropOut
-
- init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.LegacyDropOutInverted
-
- init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Pow
-
- init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.RectifedLinear
-
- init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.ReplaceNans
-
- init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Reverse
-
- init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.SetRange
-
- init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.SoftMax
-
- init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Stabilize
-
- init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Step
-
- init(INDArray, INDArray, INDArray, long) - Method in interface org.nd4j.linalg.api.ops.Op
-
Initialize the operation based on the parameters
- init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.random.impl.DropOut
-
- init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.random.impl.DropOutInverted
-
- init(INDArray, long, int) - Method in interface org.nd4j.linalg.indexing.INDArrayIndex
-
Init the index wrt
the dimension and the given nd array
- init(INDArray, int) - Method in interface org.nd4j.linalg.indexing.INDArrayIndex
-
Init the index wrt
the dimension and the given nd array
- init(long, long) - Method in interface org.nd4j.linalg.indexing.INDArrayIndex
-
Initiailize based on the specified begin and end
- init(INDArray, long, int) - Method in class org.nd4j.linalg.indexing.IntervalIndex
-
- init(INDArray, int) - Method in class org.nd4j.linalg.indexing.IntervalIndex
-
- init(long, long) - Method in class org.nd4j.linalg.indexing.IntervalIndex
-
- init(INDArray, long, int) - Method in class org.nd4j.linalg.indexing.NDArrayIndex
-
- init(INDArray, int) - Method in class org.nd4j.linalg.indexing.NDArrayIndex
-
- init(long, long) - Method in class org.nd4j.linalg.indexing.NDArrayIndex
-
- init(INDArray, long, int) - Method in class org.nd4j.linalg.indexing.NDArrayIndexAll
-
- init(INDArray, long, int) - Method in class org.nd4j.linalg.indexing.NDArrayIndexEmpty
-
- init(INDArray, int) - Method in class org.nd4j.linalg.indexing.NDArrayIndexEmpty
-
- init(long, long) - Method in class org.nd4j.linalg.indexing.NDArrayIndexEmpty
-
- init(INDArray, long, int) - Method in class org.nd4j.linalg.indexing.NewAxis
-
- init(INDArray, int) - Method in class org.nd4j.linalg.indexing.NewAxis
-
- init(long, long) - Method in class org.nd4j.linalg.indexing.NewAxis
-
- init(INDArray, long, int) - Method in class org.nd4j.linalg.indexing.PointIndex
-
- init(INDArray, int) - Method in class org.nd4j.linalg.indexing.PointIndex
-
- init(long, long) - Method in class org.nd4j.linalg.indexing.PointIndex
-
- init(INDArray, long, int) - Method in class org.nd4j.linalg.indexing.SpecifiedIndex
-
- init(INDArray, int) - Method in class org.nd4j.linalg.indexing.SpecifiedIndex
-
- init(long, long) - Method in class org.nd4j.linalg.indexing.SpecifiedIndex
-
- init() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- initContext() - Method in class org.nd4j.linalg.factory.Nd4j
-
Initializes nd4j
- initialBlockSize - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- initializeCurrFromList(List<DataSet>) - Method in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher
-
Initializes this data transform fetcher from the passed in datasets
- initializeWorkspace() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
This method causes Workspace initialization
- initializeWorkspace() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- initTypeAndSize() - Method in class org.nd4j.linalg.compression.CompressedDataBuffer
-
Initialize the type of this buffer
- initWithBackend(Nd4jBackend) - Method in class org.nd4j.linalg.factory.Nd4j
-
Initialize with the specific backend
- InMemoryDataSetCache - Class in org.nd4j.linalg.dataset.api.iterator.cache
-
Created by anton on 7/16/16.
- InMemoryDataSetCache() - Constructor for class org.nd4j.linalg.dataset.api.iterator.cache.InMemoryDataSetCache
-
- InMemoryInstrumentation - Class in org.nd4j.linalg.api.instrumentation
-
Collects log entries in memory
- InMemoryInstrumentation() - Constructor for class org.nd4j.linalg.api.instrumentation.InMemoryInstrumentation
-
- innerMostStride() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- innerMostStride() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Get the inner most stride
wrt the ordering of the array
- input() - Method in class org.nd4j.linalg.api.ops.BaseLossFunction
-
- input() - Method in interface org.nd4j.linalg.api.ops.LossFunction
-
The true
- inputColumns() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator
-
- inputColumns() - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator
-
- inputColumns() - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator
-
Input columns for the dataset
- inputColumns - Variable in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher
-
- inputColumns() - Method in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher
-
- inputColumns() - Method in interface org.nd4j.linalg.dataset.api.iterator.fetcher.DataSetFetcher
-
The length of a feature vector for an individual example
- inputColumns() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator
-
- inputColumns() - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator
-
Deprecated.
Input columns for the dataset
- inputColumns() - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator
-
- inputColumns() - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator
-
- inputColumns() - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator
-
- inputColumns() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
-
- inputColumns() - Method in class org.nd4j.linalg.dataset.ViewIterator
-
- INSTANCE - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- instantiate(INDArray, boolean) - Method in class org.nd4j.linalg.learning.config.AdaDelta
-
- instantiate(INDArray, boolean) - Method in class org.nd4j.linalg.learning.config.AdaGrad
-
- instantiate(INDArray, boolean) - Method in class org.nd4j.linalg.learning.config.Adam
-
- instantiate(INDArray, boolean) - Method in class org.nd4j.linalg.learning.config.AdaMax
-
- instantiate(INDArray, boolean) - Method in interface org.nd4j.linalg.learning.config.IUpdater
-
Create a new gradient updater
- instantiate(INDArray, boolean) - Method in class org.nd4j.linalg.learning.config.Nadam
-
- instantiate(INDArray, boolean) - Method in class org.nd4j.linalg.learning.config.Nesterovs
-
- instantiate(INDArray, boolean) - Method in class org.nd4j.linalg.learning.config.NoOp
-
- instantiate(INDArray, boolean) - Method in class org.nd4j.linalg.learning.config.RmsProp
-
- instantiate(INDArray, boolean) - Method in class org.nd4j.linalg.learning.config.Sgd
-
- Instrumentation - Interface in org.nd4j.linalg.api.instrumentation
-
Instrumentation for logging statistics
about the ndarrays being allocated and destroyed.
- INSTRUMENTATION - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- instrumentation - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- instrumentationClazz - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- intArrayArguments - Variable in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate
-
- interceptIntDataType(Op) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
This method checks if any Op operand has data type of INT, and throws exception if any.
- interval(long, long, long) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
-
Generates an interval from begin (inclusive) to end (exclusive)
- interval(int, int, int, boolean) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
-
Generates an interval from begin (inclusive) to end (exclusive)
- interval(long, long, long, boolean) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
-
- interval(int, int) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
-
Generates an interval from begin (inclusive) to end (exclusive)
- interval(long, long) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
-
- interval(int, int, boolean) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
-
Generates an interval from begin (inclusive) to end (exclusive)
- IntervalIndex - Class in org.nd4j.linalg.indexing
-
And indexing representing
an interval
- IntervalIndex(boolean, long) - Constructor for class org.nd4j.linalg.indexing.IntervalIndex
-
- intervals - Variable in class org.nd4j.linalg.memory.BasicMemoryManager
-
- intervalTail - Static variable in class org.nd4j.linalg.memory.BasicMemoryManager
-
- inverseCumulativeProbability(double) - Method in class org.nd4j.linalg.api.rng.distribution.BaseDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution
-
- invert(INDArray, boolean) - Static method in class org.nd4j.linalg.inverse.InvertMatrix
-
Inverts a matrix
- InvertedPredicateMetaOp - Class in org.nd4j.linalg.api.ops.impl.meta
-
This MetaOp covers case, when Op A and Op B are both using linear memory access
You're NOT supposed to directly call this op.
- InvertedPredicateMetaOp() - Constructor for class org.nd4j.linalg.api.ops.impl.meta.InvertedPredicateMetaOp
-
- InvertedPredicateMetaOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.InvertedPredicateMetaOp
-
- InvertedPredicateMetaOp(Op, Op) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.InvertedPredicateMetaOp
-
- InvertedPredicateMetaOp(OpDescriptor, OpDescriptor) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.InvertedPredicateMetaOp
-
- InvertedPredicateMetaOp(ScalarOp, TransformOp) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.InvertedPredicateMetaOp
-
- InvertedPredicateMetaOp(TransformOp, TransformOp) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.InvertedPredicateMetaOp
-
- InvertedPredicateMetaOp(TransformOp, ScalarOp) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.InvertedPredicateMetaOp
-
- InvertedPredicateMetaOp(ScalarOp, ScalarOp) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.InvertedPredicateMetaOp
-
- InvertMatrix - Class in org.nd4j.linalg.inverse
-
Created by agibsoncccc on 11/30/15.
- InvertMatrix() - Constructor for class org.nd4j.linalg.inverse.InvertMatrix
-
- invoke(Op) - Method in interface org.nd4j.linalg.profiler.OpProfiler.OpProfilerListener
-
- invokeGc() - Method in class org.nd4j.linalg.memory.BasicMemoryManager
-
- invokeGc() - Method in interface org.nd4j.linalg.memory.MemoryManager
-
This method calls for GC.
- invokeGcOccasionally() - Method in class org.nd4j.linalg.memory.BasicMemoryManager
-
- invokeGcOccasionally() - Method in interface org.nd4j.linalg.memory.MemoryManager
-
This method calls for GC, and if frequency is met - System.gc() will be called
- irfft(IComplexNDArray, int) - Method in class org.nd4j.linalg.fft.BaseFFTInstance
-
- irfft(IComplexNDArray) - Method in class org.nd4j.linalg.fft.BaseFFTInstance
-
- irfft(IComplexNDArray, int) - Static method in class org.nd4j.linalg.fft.FFT
-
- irfft(IComplexNDArray) - Static method in class org.nd4j.linalg.fft.FFT
-
- irfft(IComplexNDArray, int) - Method in interface org.nd4j.linalg.fft.FFTInstance
-
- irfft(IComplexNDArray) - Method in interface org.nd4j.linalg.fft.FFTInstance
-
- irfftn(IComplexNDArray) - Method in class org.nd4j.linalg.fft.BaseFFTInstance
-
- irfftn(IComplexNDArray) - Static method in class org.nd4j.linalg.fft.FFT
-
- irfftn(IComplexNDArray) - Method in interface org.nd4j.linalg.fft.FFTInstance
-
- isamax(int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- isamax(int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- isAttached() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
This method returns True, if this INDArray instance is attached to some Workspace.
- isAttached() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
This method returns True, if this INDArray instance is attached to some Workspace.
- isBiasCorrected() - Method in class org.nd4j.linalg.api.ops.impl.accum.Variance
-
- isBorrowed - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- isCleanedUp() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Deprecated.
- isCleanedUp() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns true if the ndarray has already been freed
- isColumnVector() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Checks whether the matrix is a column vector.
- isColumnVector() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns true if the number of columns is 1
- isColumnVectorShape(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Returns true if the given shape is length 2 and
the size at element 1 is 1
- isColumnVectorShape(long[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- isComplete(String) - Method in interface org.nd4j.linalg.dataset.api.iterator.cache.DataSetCache
-
Check is given namespace has complete cache of the data set
- isComplete(String) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InFileAndMemoryDataSetCache
-
- isComplete(String) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InFileDataSetCache
-
- isComplete(String) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InMemoryDataSetCache
-
- isComplex - Variable in class org.nd4j.linalg.api.ops.BaseAccumulation
-
- isComplexAccumulation() - Method in interface org.nd4j.linalg.api.ops.Accumulation
-
This method is only used for Distance functions
- isComplexAccumulation() - Method in class org.nd4j.linalg.api.ops.BaseAccumulation
-
This method is only used for Distance functions
- isCompressed() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns true if this array is compressed, and false otherwise
- isCompressed() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns true if this array is compressed, and false otherwise
- isContiguous(int[], int) - Static method in class org.nd4j.linalg.indexing.Indices
-
Returns whether indices are contiguous
by a certain amount or not
- isContiguousInBuffer(INDArray) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Are the elements in the buffer contiguous for this NDArray?
- isCrossDeviceAccessSupported() - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager
-
This method returns TRUE if cross-device access is allowed on this system
- isCrossDeviceAccessSupported() - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager
-
- isDebug - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- isDestroyed(String) - Method in class org.nd4j.linalg.api.instrumentation.InMemoryInstrumentation
-
- isDestroyed(String) - Method in interface org.nd4j.linalg.api.instrumentation.Instrumentation
-
Returns whether the given ndarray has been destroyed
- isExecSpecial() - Method in class org.nd4j.linalg.api.ops.BaseOp
-
- isExecSpecial() - Method in class org.nd4j.linalg.api.ops.impl.accum.Mmul
-
- isExecSpecial() - Method in class org.nd4j.linalg.api.ops.impl.accum.TensorMmul
-
- isExecSpecial() - Method in class org.nd4j.linalg.api.ops.impl.transforms.convolution.Col2Im
-
- isExecSpecial() - Method in class org.nd4j.linalg.api.ops.impl.transforms.convolution.Im2col
-
- isExecSpecial() - Method in class org.nd4j.linalg.api.ops.impl.transforms.convolution.Pooling2D
-
- isExecSpecial() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Histogram
-
- isExecSpecial() - Method in class org.nd4j.linalg.api.ops.impl.transforms.IsMax
-
- isExecSpecial() - Method in class org.nd4j.linalg.api.ops.impl.transforms.LogSoftMax
-
- isExecSpecial() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Reverse
-
- isExecSpecial() - Method in class org.nd4j.linalg.api.ops.impl.transforms.SoftMax
-
- isExecSpecial() - Method in class org.nd4j.linalg.api.ops.impl.transforms.SoftMaxDerivative
-
- isExecSpecial() - Method in interface org.nd4j.linalg.api.ops.Op
-
Whether the executioner
needs to do a special call or not
- isExecSpecial() - Method in class org.nd4j.linalg.api.ops.random.impl.BinomialDistribution
-
- isExecSpecial() - Method in class org.nd4j.linalg.api.ops.random.impl.BinomialDistributionEx
-
- isExecSpecial() - Method in class org.nd4j.linalg.api.ops.random.impl.Choice
-
- isExecSpecial() - Method in class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution
-
- isFallbackModeEnabled() - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method checks, if fallback mode was enabled.
- isFit() - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer
-
- isFit() - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer
-
- isFit() - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractNormalizer
-
- isFit() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
- isFitLabel() - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer
-
Whether normalization for the labels is also enabled.
- isFitLabel() - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer
-
Whether normalization for the labels is also enabled.
- isFitLabel() - Method in interface org.nd4j.linalg.dataset.api.preprocessor.DataNormalization
-
Whether normalization for the labels is also enabled.
- isFitLabel() - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler
-
- isFitLabel() - Method in class org.nd4j.linalg.dataset.api.preprocessor.VGG16ImagePreProcessor
-
- isFull() - Method in class org.nd4j.linalg.api.ops.aggregates.Batch
-
This method checks, if number of batched aggregates equals to maximum possible value
- isInfinite() - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
-
- IsInfinite - Class in org.nd4j.linalg.indexing.conditions
-
Created by agibsonccc on 10/8/14.
- IsInfinite() - Constructor for class org.nd4j.linalg.indexing.conditions.IsInfinite
-
- isInit - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- isInScope() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
This method checks, if given attached INDArray is still in scope of its parent Workspace
- isInScope() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
This method checks, if given attached INDArray is still in scope of its parent Workspace
PLEASE NOTE: if this INDArray isn't attached to any Workspace, this method will return true
- isInterval() - Method in interface org.nd4j.linalg.indexing.INDArrayIndex
-
Returns true
if the index is an interval
- isInterval() - Method in class org.nd4j.linalg.indexing.IntervalIndex
-
- isInterval() - Method in class org.nd4j.linalg.indexing.NDArrayIndex
-
- isInterval() - Method in class org.nd4j.linalg.indexing.NDArrayIndexEmpty
-
- isInterval() - Method in class org.nd4j.linalg.indexing.NewAxis
-
- isInterval() - Method in class org.nd4j.linalg.indexing.PointIndex
-
- isInterval() - Method in class org.nd4j.linalg.indexing.SpecifiedIndex
-
- isLearning - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- isMatrix() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns true if this ndarray is 2d
or 3d with a singleton element
- isMatrix() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns true if this ndarray is a matrix
- isMatrix(IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Returns whether the passed in shape is a matrix
- isMatrix(DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Returns whether the passed in shape is a matrix
- isMatrix(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Returns whether the passed in shape is a matrix
- IsMax - Class in org.nd4j.linalg.api.ops.impl.transforms
-
[1, 2, 3, 1] -> [0, 0, 1, 0]
- IsMax(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.IsMax
-
- IsMax() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.IsMax
-
- IsMax(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.IsMax
-
- IsMax(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.IsMax
-
- IsMax(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.IsMax
-
- IsMax(INDArray, INDArray, long, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.IsMax
-
- IsMax(INDArray, INDArray, INDArray, long, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.IsMax
-
- IsMax(INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.IsMax
-
- isNan() - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
-
- IsNaN - Class in org.nd4j.linalg.indexing.conditions
-
Condition for whether an element is NaN
- IsNaN() - Constructor for class org.nd4j.linalg.indexing.conditions.IsNaN
-
- isOpen - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- isOver - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- isPassThrough() - Method in class org.nd4j.linalg.api.ops.BaseOp
-
- isPassThrough() - Method in class org.nd4j.linalg.api.ops.impl.accum.Bias
-
- isPassThrough() - Method in class org.nd4j.linalg.api.ops.impl.accum.Mmul
-
- isPassThrough() - Method in class org.nd4j.linalg.api.ops.impl.accum.Variance
-
- isPassThrough() - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.CopyOp
-
- isPassThrough() - Method in class org.nd4j.linalg.api.ops.impl.transforms.VectorFFT
-
- isPassThrough() - Method in class org.nd4j.linalg.api.ops.impl.transforms.VectorIFFT
-
- isPassThrough() - Method in interface org.nd4j.linalg.api.ops.Op
-
Returns whether the op should be executed or not (through the executioner)
- isPassThrough() - Method in class org.nd4j.linalg.api.ops.TadCollapseAccumulation
-
- isPeriodicGcActive() - Method in class org.nd4j.linalg.memory.BasicMemoryManager
-
- isPeriodicGcActive() - Method in interface org.nd4j.linalg.memory.MemoryManager
-
This method returns true, if periodic GC is active.
- isPerOutputMasking(INDArray, INDArray) - Static method in class org.nd4j.linalg.lossfunctions.LossUtil
-
- isPreProcessed() - Method in class org.nd4j.linalg.dataset.DataSet
-
- isRowVector() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Checks whether the matrix is a row vector.
- isRowVector() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns true if the number of rows is 1
- isRowVectorShape(DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Returns true if the given shape is of length 1
or provided the shape length is 2:
element 0 is 1
- isRowVectorShape(IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Returns true if the given shape is of length 1
or provided the shape length is 2:
element 0 is 1
- isRowVectorShape(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Returns true if the given shape is of length 1
or provided the shape length is 2:
element 0 is 1
- isScalar() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Test whether a matrix is scalar.
- isScalar() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns true if this ndarray is a scalar
- isScalar(INDArray, INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.Indices
-
Check if the given indexes
over the specified array
are searching for a scalar
- isScopeActive() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
This method returns True if scope was opened, and not closed yet.
- isScopeActive() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method returns True if scope was opened, and not closed yet.
- isSquare() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- isSquare() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns whether the matrix
has the same rows and columns
- isSupportConnected() - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
-
Use this method to get information about whether the support is connected,
i.e.
- isSupportConnected() - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
-
Use this method to get information about whether the support is connected,
i.e.
- isSupportConnected() - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
Use this method to get information about whether the support is connected,
i.e.
- isSupportConnected() - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution
-
Use this method to get information about whether the support is connected,
i.e.
- isSupportLowerBoundInclusive() - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
-
- isSupportLowerBoundInclusive() - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
-
- isSupportLowerBoundInclusive() - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
Whether or not the lower bound of support is in the domain of the density
function.
- isSupportLowerBoundInclusive() - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution
-
Whether or not the lower bound of support is in the domain of the density
function.
- isSupportUpperBoundInclusive() - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
-
- isSupportUpperBoundInclusive() - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
-
- isSupportUpperBoundInclusive() - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
Whether or not the upper bound of support is in the domain of the density
function.
- isSupportUpperBoundInclusive() - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution
-
Whether or not the upper bound of support is in the domain of the density
function.
- isTriggered() - Method in class org.nd4j.linalg.util.AtomicThrowable
-
This method returns TRUE if internal state holds error, FALSE otherwise
- isUsed - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- isValid() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Deprecated.
- isVector() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Checks whether the matrix is a vector.
- isVector() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns true if this ndarray is a vector
- isVector(IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Returns whether the given shape is a vector
- isVector(DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Returns whether the given shape is a vector
- isVector(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Returns whether the given shape is a vector
- isView() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- isView() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns true if this array is a view or not
- isWholeArray(int[], int...) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Returns true if the dimension is null
or the dimension length is 1 and the first entry
is
Integer.MAX_VALUE
- isWrapAround() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Deprecated.
- isWrapAround() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns true if the ndarray
on linear indexing wraps around
based on the stride(1) of the ndarray
This is a useful optimization in linear view
where strides that might otherwise
go out of bounds but wrap around instead.
- iterate(INDArray, CoordinateFunction) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Iterate over 2
coordinate spaces given 2 arrays
- iterate(INDArray, INDArray, CoordinateFunction) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Iterate over 2
coordinate spaces given 2 arrays
- iterate(int, int, int[], int[], int, int, int[], int[], CoordinateFunction) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Iterate over a pair of coordinates
- iterate(int, int, int[], int[], CoordinateFunction) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Iterate over a pair of coordinates
- iterate(INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.SpecifiedIndex
-
Iterate over a cross product of the
coordinates
- iterateOverAllColumns(Op) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- iterateOverAllColumns(Op) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
Iterate over every column of every slice
- iterateOverAllRows(Op) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- iterateOverAllRows(Op) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
Iterate over every row of every slice
- iterateWithMiniBatches() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Deprecated.
- iterateWithMiniBatches() - Method in class org.nd4j.linalg.dataset.DataSet
-
- iterator() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- iterator() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- iterator() - Method in class org.nd4j.linalg.dataset.DataSet
-
- IUpdater - Interface in org.nd4j.linalg.learning.config
-
IUpdater interface: used for configuration and instantiation of updaters - both built-in and custom.
Note that the actual implementations for updaters are in
GradientUpdater
- izamax(int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- labelCounts() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Calculate and return a count of each label, by index.
- labelCounts() - Method in class org.nd4j.linalg.dataset.DataSet
-
- labelWidth(int) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity.Builder
-
Specifies the width of the labels vector which also corresponds
to the width of the 'mean' vector for each of the gaussian functions.
- Lapack - Interface in org.nd4j.linalg.api.blas
-
Lapack interface
- lapack() - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- lapack - Variable in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- lapack() - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- lapack() - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
LAPack interface
- lapack() - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- lastBatch() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator
-
The number of examples in the last fold
if totalexamples % k == 0 same as the number of examples in every other fold
- lastCycleAllocations - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- lastDescriptor - Variable in class org.nd4j.linalg.profiler.data.primitives.StackTree
-
- lastGcTime - Variable in class org.nd4j.linalg.memory.BasicMemoryManager
-
- LastIndex - Class in org.nd4j.linalg.api.ops.impl.indexaccum
-
Calculate the index
of max value over a vector
- LastIndex() - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.LastIndex
-
- LastIndex(INDArray, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.LastIndex
-
- LastIndex(INDArray, Condition, double) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.LastIndex
-
- lastIndex(INDArray, Condition) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing
-
This method returns last index matching given condition
PLEASE NOTE: This method will return -1 value if condition wasn't met
- lastIndex(INDArray, Condition, int...) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing
-
This method returns first index matching given condition along given dimensions
PLEASE NOTE: This method will return -1 values for missing conditions
- LeakyReLU - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Leaky Rectified linear unit.
- LeakyReLU() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LeakyReLU
-
- LeakyReLU(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LeakyReLU
-
- LeakyReLU(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LeakyReLU
-
- LeakyReLU(INDArray, INDArray, long, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LeakyReLU
-
- LeakyReLU(INDArray, INDArray, INDArray, long, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LeakyReLU
-
- LeakyReLU(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LeakyReLU
-
- LeakyReLU(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LeakyReLU
-
- LeakyReLU(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LeakyReLU
-
- LeakyReLU(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LeakyReLU
-
- leakyRelu(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- leakyRelu(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- leakyRelu(INDArray, double) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- leakyRelu(INDArray, double, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- LeakyReLUDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Leaky ReLU derivative.
- LeakyReLUDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LeakyReLUDerivative
-
- LeakyReLUDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LeakyReLUDerivative
-
- LeakyReLUDerivative(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LeakyReLUDerivative
-
- LeakyReLUDerivative(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LeakyReLUDerivative
-
- LeakyReLUDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LeakyReLUDerivative
-
- LeakyReLUDerivative(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LeakyReLUDerivative
-
- LeakyReLUDerivative(INDArray, INDArray, long, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LeakyReLUDerivative
-
- LeakyReLUDerivative(INDArray, INDArray, INDArray, long, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LeakyReLUDerivative
-
- LeakyReLUDerivative(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LeakyReLUDerivative
-
- leakyReluDerivative(INDArray, double) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- leakyReluDerivative(INDArray, double, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- learningRate - Variable in class org.nd4j.linalg.learning.AdaGradUpdater
-
- learningRate - Variable in class org.nd4j.linalg.learning.legacy.AdaGrad
-
- LegacyDropOut - Class in org.nd4j.linalg.api.ops.impl.transforms
-
DropOut implementation as Op
PLEASE NOTE: This is legacy DropOut implementation, please consider using op with the same name from randomOps
- LegacyDropOut() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LegacyDropOut
-
- LegacyDropOut(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LegacyDropOut
-
- LegacyDropOut(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LegacyDropOut
-
- LegacyDropOut(INDArray, INDArray, double, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LegacyDropOut
-
- LegacyDropOutInverted - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Inverted DropOut implementation as Op
PLEASE NOTE: This is legacy DropOutInverted implementation, please consider using op with the same name from randomOps
- LegacyDropOutInverted() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LegacyDropOutInverted
-
- LegacyDropOutInverted(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LegacyDropOutInverted
-
- LegacyDropOutInverted(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LegacyDropOutInverted
-
- LegacyDropOutInverted(INDArray, INDArray, double, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LegacyDropOutInverted
-
- length - Variable in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
-
- length() - Method in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
-
- length() - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
-
- length() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the total number of elements in the ndarray
- length - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArrayProxy
-
- length() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the total number of elements in the ndarray
- length(IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Gets the rank given the shape info buffer
- length(DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Gets the rank given the shape info buffer
- length() - Method in class org.nd4j.linalg.compression.CompressedDataBuffer
-
- length() - Method in interface org.nd4j.linalg.indexing.INDArrayIndex
-
The total length of this index (end - start)
- length - Variable in class org.nd4j.linalg.indexing.IntervalIndex
-
- length() - Method in class org.nd4j.linalg.indexing.IntervalIndex
-
- length() - Method in class org.nd4j.linalg.indexing.NDArrayIndex
-
Returns the length of the indices
- length() - Method in class org.nd4j.linalg.indexing.NDArrayIndexEmpty
-
- length() - Method in class org.nd4j.linalg.indexing.NewAxis
-
- length() - Method in class org.nd4j.linalg.indexing.PointIndex
-
- length() - Method in class org.nd4j.linalg.indexing.SpecifiedIndex
-
- lengthLong() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the total number of elements in the ndarray
- lengthLong() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the total number of elements in the ndarray
- lengthPerSlice(INDArray, int...) - Static method in class org.nd4j.linalg.util.NDArrayMath
-
The number of elements in a slice
along a set of dimensions
- lengthPerSlice(INDArray) - Static method in class org.nd4j.linalg.util.NDArrayMath
-
Return the length of a slice
- LessThan - Class in org.nd4j.linalg.api.ops.impl.transforms.comparison
-
Bit mask over the ndarrays as to whether
the components are less than or not
- LessThan() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.LessThan
-
- LessThan(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.LessThan
-
- LessThan(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.LessThan
-
- LessThan(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.LessThan
-
- LessThan(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.LessThan
-
- lessThan(IComplexNumber) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
-
- lessThan(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
-
- LessThan - Class in org.nd4j.linalg.indexing.conditions
-
Created by agibsonccc on 10/8/14.
- LessThan() - Constructor for class org.nd4j.linalg.indexing.conditions.LessThan
-
Special constructor for pairwise boolean operations.
- LessThan(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.LessThan
-
- LessThan(IComplexNumber) - Constructor for class org.nd4j.linalg.indexing.conditions.LessThan
-
- LessThanOrEqual - Class in org.nd4j.linalg.api.ops.impl.transforms.comparison
-
Bit mask over the ndarrays as to whether
the components are less than or equal or not
- LessThanOrEqual() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.LessThanOrEqual
-
- LessThanOrEqual(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.LessThanOrEqual
-
- LessThanOrEqual(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.LessThanOrEqual
-
- LessThanOrEqual(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.LessThanOrEqual
-
- LessThanOrEqual(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.LessThanOrEqual
-
- lessThanOrEqual(IComplexNumber) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
-
- lessThanOrEqual(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
-
- LessThanOrEqual - Class in org.nd4j.linalg.indexing.conditions
-
Created by agibsonccc on 10/8/14.
- LessThanOrEqual() - Constructor for class org.nd4j.linalg.indexing.conditions.LessThanOrEqual
-
Special constructor for pairwise boolean operations.
- LessThanOrEqual(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.LessThanOrEqual
-
- LessThanOrEqual(IComplexNumber) - Constructor for class org.nd4j.linalg.indexing.conditions.LessThanOrEqual
-
- lessThanOrEqual(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
1 if less than or equal to 0 otherwise (at each element)
- lessThanOrEqual(INDArray, INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Eps function
- Level1 - Interface in org.nd4j.linalg.api.blas
-
Level 1 blas implementations.
- level1() - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- level1 - Variable in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- level1() - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- level1() - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Return the level 1 functions
for this blas impl
- level1() - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Return the level 1 blas operations
- Level2 - Interface in org.nd4j.linalg.api.blas
-
Level 2 blas implementations.
- level2() - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- level2 - Variable in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- level2() - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- level2() - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Return the level 2 functions
for this blas impl
- level2() - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Return the level 2 blas operations
- Level3 - Interface in org.nd4j.linalg.api.blas
-
Level 3 blas implementations.
- level3() - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- level3 - Variable in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- level3() - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- level3() - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Return the level 3 functions
for this blas impl
- level3() - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Return the level 3 blas operations
- leverage() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
This method detaches INDArray from current Workspace, and attaches it to Workspace above, if any.
- leverage() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
This method detaches INDArray from current Workspace, and attaches it to Workspace above, if any.
- leverageTo(String) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
This method detaches INDArray from current Workspace, and attaches it to Workspace with a given Id
PLEASE NOTE: If this INDArray instance is NOT attached - it will be returned unmodified.
- leverageTo(String) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
This method detaches INDArray from current Workspace, and attaches it to Workspace with a given Id
- LinAlgExceptions - Class in org.nd4j.linalg.util
-
Linear algebra exceptions
- LinAlgExceptions() - Constructor for class org.nd4j.linalg.util.LinAlgExceptions
-
- linearIndex(int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Deprecated.
- linearIndex(int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Get the linear index of the data in to
the array
- LinearIndexLookup - Class in org.nd4j.linalg.api.iter
-
Represents a cache linear index lookup
- LinearIndexLookup(int[], char) - Constructor for class org.nd4j.linalg.api.iter.LinearIndexLookup
-
- linearOffset(int, INDArray) - Static method in class org.nd4j.linalg.indexing.Indices
-
Compute the linear offset
for an index in an ndarray.
- linearView() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Returns a linear view reference of shape
1,length(ndarray)
- linearView() - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Returns a linear view reference of shape
1,length(ndarray)
- linearView() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns a linear view reference of shape
1,length(ndarray)
- linearView() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns a linear view reference of shape
1,length(ndarray)
- linearViewColumnOrder() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- linearViewColumnOrder() - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Returns a linear view reference of shape
length(ndarray),1
- linearViewColumnOrder() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Deprecated.
- linearViewColumnOrder() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns a linear view reference of shape
1,length(ndarray)
- Linspace - Class in org.nd4j.linalg.api.ops.random.impl
-
Linspace/arange Op implementation, generates from..to distribution within Z
- Linspace() - Constructor for class org.nd4j.linalg.api.ops.random.impl.Linspace
-
- Linspace(double, double, int) - Constructor for class org.nd4j.linalg.api.ops.random.impl.Linspace
-
- Linspace(INDArray, double, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.Linspace
-
- linspace(int, int, int) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Generate a linearly spaced vector
- linspace(int, int, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Generate a linearly spaced vector
- linspace(double, double, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Generate a linearly spaced vector
- linspace(float, float, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Generate a linearly spaced vector
- linspace(int, int, int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Generate a linearly spaced vector
- listGitPropertiesFiles() - Static method in class org.nd4j.versioncheck.VersionCheck
-
- load(InputStream) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Load the contents of the DataSet from the specified InputStream.
- load(File) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Load the contents of the DataSet from the specified File.
- load(File, File) - Method in class org.nd4j.linalg.dataset.api.iterator.StandardScaler
-
Deprecated.
Load the given mean and std
- load(InputStream) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Load the contents of this MultiDataSet from the specified stream.
- load(File) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Load the contents of this MultiDataSet from the specified file
- load(List<File>, List<File>) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize
-
Load means and standard deviations from the file system
- load(File...) - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler
-
Load the given min and max
- load(File...) - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize
-
Load the means and standard deviations from the file system
- load(File, File) - Static method in class org.nd4j.linalg.dataset.api.preprocessor.stats.DistributionStats
-
Load distribution statistics from the file system
- load(InputStream) - Method in class org.nd4j.linalg.dataset.DataSet
-
- load(File) - Method in class org.nd4j.linalg.dataset.DataSet
-
- load(InputStream) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- load(File) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- loadCompressors() - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
- lock - Variable in class org.nd4j.linalg.util.AtomicThrowable
-
- log(INDArray, String) - Method in class org.nd4j.linalg.api.instrumentation.InMemoryInstrumentation
-
- log(DataBuffer, String) - Method in class org.nd4j.linalg.api.instrumentation.InMemoryInstrumentation
-
- log(INDArray) - Method in class org.nd4j.linalg.api.instrumentation.InMemoryInstrumentation
-
- log(DataBuffer) - Method in class org.nd4j.linalg.api.instrumentation.InMemoryInstrumentation
-
- log(INDArray, String) - Method in interface org.nd4j.linalg.api.instrumentation.Instrumentation
-
Log the given ndarray
- log(DataBuffer, String) - Method in interface org.nd4j.linalg.api.instrumentation.Instrumentation
-
Data buffer to log
- log(INDArray) - Method in interface org.nd4j.linalg.api.instrumentation.Instrumentation
-
Log the given ndarray
- log(DataBuffer) - Method in interface org.nd4j.linalg.api.instrumentation.Instrumentation
-
Data buffer to log
- log - Static variable in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- Log - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Log elementwise function
- Log() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Log
-
- Log(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Log
-
- Log(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Log
-
- Log(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Log
-
- Log(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Log
-
- log - Static variable in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher
-
- log(INDArray, double) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Log on arbitrary base
- log(INDArray, double, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Log on arbitrary base
- log(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- log(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Log function
- log(IComplexNumber) - Static method in class org.nd4j.linalg.util.ComplexUtil
-
Return the log value of the given complex number
- logBinomialProbability(int, int, double, double) - Static method in class org.nd4j.linalg.api.rng.distribution.impl.SaddlePointExpansion
-
Compute the logarithm of the PMF for a binomial distribution
using the saddle point expansion.
- logEntropy(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns log entropy along dimension
- logEntropy(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns entropy value for this INDArray along specified dimension(s)
- LogEntropy - Class in org.nd4j.linalg.api.ops.impl.accum
-
Log Entropy Op - returns the entropy (information gain, or uncertainty of a random variable).
- LogEntropy() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.LogEntropy
-
- LogEntropy(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.LogEntropy
-
- LogEntropy(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.LogEntropy
-
- LogEntropy(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.LogEntropy
-
- LogEntropy(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.LogEntropy
-
- LogEntropy(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.LogEntropy
-
- logEntropyNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns log entropy value for this INDArray
- logEntropyNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns log entropy value for this INDArray
- LogEntry - Class in org.nd4j.linalg.api.instrumentation
-
Log entry for statistics about ndarrays
- LogEntry() - Constructor for class org.nd4j.linalg.api.instrumentation.LogEntry
-
- LogEntry(INDArray, String) - Constructor for class org.nd4j.linalg.api.instrumentation.LogEntry
-
- LogEntry(INDArray, StackTraceElement[], String) - Constructor for class org.nd4j.linalg.api.instrumentation.LogEntry
-
- LogEntry(INDArray, StackTraceElement[]) - Constructor for class org.nd4j.linalg.api.instrumentation.LogEntry
-
- LogEntry(INDArray) - Constructor for class org.nd4j.linalg.api.instrumentation.LogEntry
-
- LogSoftMax - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Log(softmax(X))
- LogSoftMax() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LogSoftMax
-
- LogSoftMax(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LogSoftMax
-
- LogSoftMax(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LogSoftMax
-
- LogSoftMax(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LogSoftMax
-
- LogSoftMax(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LogSoftMax
-
- LogSoftMax(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LogSoftMax
-
- logVersionInfo() - Static method in class org.nd4j.versioncheck.VersionCheck
-
Log of the version information with the default level of detail
- logVersionInfo(VersionCheck.Detail) - Static method in class org.nd4j.versioncheck.VersionCheck
-
Log the version information with the specified level of detail
- LogX - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Log on arbitrary base op
- LogX() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LogX
-
- LogX(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LogX
-
- LogX(INDArray, INDArray, double, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LogX
-
- LogX(INDArray, INDArray, INDArray, double, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LogX
-
- LogX(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LogX
-
- LongUtils - Class in org.nd4j.linalg.util
-
- LongUtils() - Constructor for class org.nd4j.linalg.util.LongUtils
-
- lookup(int) - Method in class org.nd4j.linalg.api.iter.LinearIndexLookup
-
Give back a sub
wrt the given linear index
- LoopFunction1 - Interface in org.nd4j.linalg.api.shape.loop.one
-
Used for raw iteration in loops
- LoopFunction2 - Interface in org.nd4j.linalg.api.shape.loop.two
-
Used for raw iteration in loops
- LoopFunction3 - Interface in org.nd4j.linalg.api.shape.loop.three
-
Used for raw iteration in loops
- LoopFunction4 - Interface in org.nd4j.linalg.api.shape.loop.four
-
Used for raw iteration in loops
- LossBinaryXENT - Class in org.nd4j.linalg.lossfunctions.impl
-
- LossBinaryXENT() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT
-
- LossBinaryXENT(INDArray) - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT
-
Binary cross entropy where each the output is
(optionally) weighted/scaled by a fixed scalar value.
- LossCalculation - Class in org.nd4j.linalg.lossfunctions
-
- LossCalculation() - Constructor for class org.nd4j.linalg.lossfunctions.LossCalculation
-
Deprecated.
- LossCosineProximity - Class in org.nd4j.linalg.lossfunctions.impl
-
Created by susaneraly on 9/9/16.
- LossCosineProximity() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossCosineProximity
-
- LossFMeasure - Class in org.nd4j.linalg.lossfunctions.impl
-
F–measure loss function is a loss function design for training on imbalanced datasets.
- LossFMeasure() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossFMeasure
-
- LossFMeasure(double) - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossFMeasure
-
- LossFunction - Interface in org.nd4j.linalg.api.ops
-
A loss function for computing
the delta between two arrays
- LossFunctions - Class in org.nd4j.linalg.lossfunctions
-
Central class for loss functions
- LossFunctions() - Constructor for class org.nd4j.linalg.lossfunctions.LossFunctions
-
- LossFunctions.LossFunction - Enum in org.nd4j.linalg.lossfunctions
-
MSE: Mean Squared Error: Linear Regression
EXPLL: Exponential log likelihood: Poisson Regression
XENT: Cross Entropy: Binary Classification
MCXENT: Multiclass Cross Entropy
RMSE_XENT: RMSE Cross Entropy
SQUARED_LOSS: Squared Loss
NEGATIVELOGLIKELIHOOD: Negative Log Likelihood
- LossHinge - Class in org.nd4j.linalg.lossfunctions.impl
-
Created by susaneraly on 8/15/16.
- LossHinge() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossHinge
-
- LossKLD - Class in org.nd4j.linalg.lossfunctions.impl
-
Kullback Leibler Divergence loss function
- LossKLD() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossKLD
-
- LossL1 - Class in org.nd4j.linalg.lossfunctions.impl
-
L1 loss function: i.e., sum of absolute errors, L = sum_i abs(predicted_i - actual_i)
See also
LossMAE for a mathematically similar loss function (MAE has division by N, where N is output size)
- LossL1() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossL1
-
- LossL1(INDArray) - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossL1
-
L1 loss function where each the output is (optionally) weighted/scaled by a fixed scalar value.
- LossL2 - Class in org.nd4j.linalg.lossfunctions.impl
-
L2 loss function: i.e., sum of squared errors, L = sum_i (actual_i - predicted)^2
The L2 loss function is the square of the L2 norm of the difference between actual and predicted.
- LossL2() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossL2
-
- LossL2(INDArray) - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossL2
-
L2 loss function where each the output is (optionally) weighted/scaled by a fixed scalar value.
- LossMAE - Class in org.nd4j.linalg.lossfunctions.impl
-
Mean absolute error loss function: L = 1/N sum_i abs(predicted_i - actual_i)
See also
LossL1 for a mathematically similar loss function (LossL1 does not have division by N, where N is output size)
- LossMAE() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossMAE
-
- LossMAE(INDArray) - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossMAE
-
Mean Absolute Error loss function where each the output is (optionally) weighted/scaled by a fixed scalar value.
- LossMAPE - Class in org.nd4j.linalg.lossfunctions.impl
-
Created by susaneraly on 8/15/16.
- LossMAPE() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossMAPE
-
- LossMAPE(INDArray) - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossMAPE
-
Mean Absolute Percentage Error loss function where each the output is (optionally) weighted/scaled by a fixed scalar value.
- LossMCXENT - Class in org.nd4j.linalg.lossfunctions.impl
-
Multi-Class Cross Entropy loss function:
L = sum_i actual_i * log( predicted_i )
- LossMCXENT() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossMCXENT
-
- LossMCXENT(INDArray) - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossMCXENT
-
Multi-Class Cross Entropy loss function where each the output is (optionally) weighted/scaled by a fixed scalar value.
- LossMCXENT(double, INDArray) - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossMCXENT
-
Multi-Class Cross Entropy loss function where each the output is (optionally) weighted/scaled by a fixed scalar value.
- LossMixtureDensity - Class in org.nd4j.linalg.lossfunctions.impl
-
This is a cost function associated with a mixture-density network.
- LossMixtureDensity.Builder - Class in org.nd4j.linalg.lossfunctions.impl
-
- LossMixtureDensity.MixtureDensityComponents - Class in org.nd4j.linalg.lossfunctions.impl
-
This class is a data holder for the mixture density
components for convenient manipulation.
- LossMSE - Class in org.nd4j.linalg.lossfunctions.impl
-
Mean Squared Error loss function: L = 1/N sum_i (actual_i - predicted)^2
See also
LossL2 for a mathematically similar loss function (LossL2 does not have division by N, where N is output size)
- LossMSE() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossMSE
-
- LossMSE(INDArray) - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossMSE
-
Mean Squared Error loss function where each the output is (optionally) weighted/scaled by a fixed scalar value.
- LossMSLE - Class in org.nd4j.linalg.lossfunctions.impl
-
Mean Squared Logarithmic Error loss function: L = 1/N sum_i (log(1+predicted_i) - log(1+actual_i))^2
- LossMSLE() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossMSLE
-
- LossMSLE(INDArray) - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossMSLE
-
Mean Squared Logarithmic Error loss function where each the output is (optionally) weighted/scaled by a fixed scalar value.
- LossNegativeLogLikelihood - Class in org.nd4j.linalg.lossfunctions.impl
-
Negative log likelihood loss function
- LossNegativeLogLikelihood() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossNegativeLogLikelihood
-
- LossNegativeLogLikelihood(INDArray) - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossNegativeLogLikelihood
-
- LossPoisson - Class in org.nd4j.linalg.lossfunctions.impl
-
Created by susaneraly on 9/9/16.
- LossPoisson() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossPoisson
-
- LossSquaredHinge - Class in org.nd4j.linalg.lossfunctions.impl
-
Created by susaneraly on 9/9/16.
- LossSquaredHinge() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossSquaredHinge
-
- LossUtil - Class in org.nd4j.linalg.lossfunctions
-
Created by Alex on 14/09/2016.
- LossUtil() - Constructor for class org.nd4j.linalg.lossfunctions.LossUtil
-
- lt(Number) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- lt(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- lt(IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- lt(Number) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- lt(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- lt(IComplexNumber) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- lt(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- lt(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- lt(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the binary ndarray for "Less" comparison.
- lt(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the binary ndarray for "Less" comparison.
- lte(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- lte(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the binary ndarray for "Less or equals" comparison.
- ltei(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- ltei(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the binary ndarray for "Less or equals" comparison.
- lti(Number) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- lti(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- lti(IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- lti(Number) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- lti(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- lti(IComplexNumber) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- lti(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- lti(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- lti(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the binary ndarray for "Less" comparison.
- lti(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the binary ndarray for "Less" comparison.
- majorStride() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Deprecated.
- majorStride() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Return the major stride for an ndarray
- ManhattanDistance - Class in org.nd4j.linalg.api.ops.impl.accum.distances
-
Manhattan distance
- ManhattanDistance() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.ManhattanDistance
-
- ManhattanDistance(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.ManhattanDistance
-
- ManhattanDistance(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.ManhattanDistance
-
- ManhattanDistance(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.ManhattanDistance
-
- ManhattanDistance(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.ManhattanDistance
-
- ManhattanDistance(INDArray, INDArray, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.ManhattanDistance
-
- ManhattanDistance(INDArray, INDArray, INDArray, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.ManhattanDistance
-
- manhattanDistance(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- mapIndexOntoTensor(int, INDArray, int...) - Static method in class org.nd4j.linalg.util.NDArrayMath
-
This maps an index of a vector
on to a vector in the matrix that can be used
for indexing in to a tensor
- mapIndexOntoVector(int, INDArray) - Static method in class org.nd4j.linalg.util.NDArrayMath
-
This maps an index of a vector
on to a vector in the matrix that can be used
for indexing in to a tensor
- markAsCompressed(boolean) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
This method marks INDArray instance as compressed
PLEASE NOTE: Do not use this method unless you 100% have to
- markAsCompressed(boolean) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
This method marks INDArray instance as compressed
PLEASE NOTE: Do not use this method unless you 100% have to
- markAsPreProcessed() - Method in class org.nd4j.linalg.dataset.DataSet
-
- MatchCondition - Class in org.nd4j.linalg.api.ops.impl.accum
-
Absolute sum the components
- MatchCondition() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.MatchCondition
-
- MatchCondition(INDArray, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.MatchCondition
-
- MatchCondition(INDArray, double, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.MatchCondition
-
- matricesPerSlice(INDArray) - Static method in class org.nd4j.linalg.util.NDArrayMath
-
The number of vectors
in each slice of an ndarray.
- max(int...) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- max() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- max(int...) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Returns the overall max of this ndarray
- max(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the overall max of this ndarray
- max(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the overall max of this ndarray along given dimensions
- Max - Class in org.nd4j.linalg.api.ops.impl.accum
-
Calculate the max over a vector
- Max() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Max
-
- Max(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Max
-
- Max(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Max
-
Initialize with the given
input, pairwise transform, result, and number
of elements
- Max(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Max
-
- Max(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Max
-
- Max - Class in org.nd4j.linalg.api.ops.impl.transforms.comparison
-
Max function
- Max() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.Max
-
- Max(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.Max
-
- Max(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.Max
-
- Max(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.Max
-
- Max(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.Max
-
- max(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- max(IComplexNDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- max(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- max(IComplexNDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- max(INDArray, double, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Maximum function with a scalar
- max(INDArray, double) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Maximum function with a scalar
- max(INDArray, INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Element wise maximum function between 2 INDArrays
- max(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Element wise maximum function between 2 INDArrays
- MAX_ELEMENTS_PER_SLICE - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- MAX_SLICES_TO_PRINT - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- maxArguments() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
-
This method returns maximum number of shapes being passed per Aggregate
- maxArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateAxpy
-
- maxArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateCBOW
-
- maxArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateDot
-
- maxArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateGEMM
-
- maxArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateSkipGram
-
- maxArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.HierarchicSoftmax
-
- maxComplex() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- maxComplex() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- maxComplex() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- maxCycle - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- maxIndexArguments() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
-
This method returns maximum number of IndexArguments per Aggregate
- maxIndexArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateAxpy
-
- maxIndexArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateCBOW
-
- maxIndexArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateDot
-
- maxIndexArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateGEMM
-
- maxIndexArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateSkipGram
-
- maxIndexArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.HierarchicSoftmax
-
- maxIntArrays() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
-
This method returns maximum number of IntArrays being passed per Aggregate
- maxIntArrays() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateAxpy
-
- maxIntArrays() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateCBOW
-
- maxIntArrays() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateDot
-
- maxIntArrays() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateGEMM
-
- maxIntArrays() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateSkipGram
-
- maxIntArrays() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.HierarchicSoftmax
-
- maxIntArraySize() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
-
This method returns maximum length for IntArrays, if any
- maxIntArraySize() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateAxpy
-
- maxIntArraySize() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateCBOW
-
- maxIntArraySize() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateDot
-
- maxIntArraySize() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateGEMM
-
- maxIntArraySize() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateSkipGram
-
- maxIntArraySize() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.HierarchicSoftmax
-
- maxNumber() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- maxNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- maxNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns maximum value in this INDArray
- MaxOut - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Max out activation:
http://arxiv.org/pdf/1302.4389.pdf
- MaxOut() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.MaxOut
-
- MaxOut(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.MaxOut
-
- MaxOut(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.MaxOut
-
- MaxOut(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.MaxOut
-
- MaxOut(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.MaxOut
-
- maxRealArguments() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
-
This method returns maximum number of real (float/double) per Aggregate
- maxRealArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateAxpy
-
- maxRealArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateCBOW
-
- maxRealArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateDot
-
- maxRealArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateGEMM
-
- maxRealArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateSkipGram
-
- maxRealArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.HierarchicSoftmax
-
- maxShapes() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
-
This method returns maximum number of shapes being passed per Aggregate
- maxShapes() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateAxpy
-
- maxShapes() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateCBOW
-
- maxShapes() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateDot
-
- maxShapes() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateGEMM
-
- maxShapes() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateSkipGram
-
- maxShapes() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.HierarchicSoftmax
-
- mean(int...) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- mean(int...) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Returns the overall mean of this ndarray
- mean(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the overall mean of this ndarray
- mean(INDArray, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- mean(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the overall mean of this ndarray
- mean(INDArray, int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the overall mean of this ndarray
- Mean - Class in org.nd4j.linalg.api.ops.impl.accum
-
Calculate the mean of the vector
- Mean() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Mean
-
- Mean(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Mean
-
- Mean(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Mean
-
- Mean(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Mean
-
- Mean(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Mean
-
- Mean(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Mean
-
- mean - Variable in class org.nd4j.linalg.api.ops.impl.accum.Variance
-
- mean(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- mean(IComplexNDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- mean(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- mean(IComplexNDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- meanComplex() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- meanComplex() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- meanComplex() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- meanNumber() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- meanNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- meanNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the overall mean of this ndarray
- median(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- median(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
This method returns median along given dimension(s)
- medianNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- medianNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
This method returns median value for this INDArray
- memcpy(DataBuffer, DataBuffer) - Method in class org.nd4j.linalg.memory.BasicMemoryManager
-
- memcpy(DataBuffer, DataBuffer) - Method in interface org.nd4j.linalg.memory.MemoryManager
-
This method does memcpy from source buffer to destination buffer
PLEASE NOTE: This method is NOT safe.
- MEMORY_MANAGER - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- memoryManager - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- memoryManager - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- MemoryManager - Interface in org.nd4j.linalg.memory
-
- memoryManagerClazz - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- memset(INDArray) - Method in interface org.nd4j.linalg.memory.MemoryManager
-
This method fills given INDArray with zeroes.
- merge(List<DataSet>, boolean) - Static method in class org.nd4j.linalg.dataset.DataSet
-
- merge(List<DataSet>) - Static method in class org.nd4j.linalg.dataset.DataSet
-
Merge the list of datasets in to one list.
- merge(Collection<? extends MultiDataSet>) - Static method in class org.nd4j.linalg.dataset.MultiDataSet
-
Merge a collection of MultiDataSet objects into a single MultiDataSet.
- merge2d(INDArray[][], INDArray[][], int) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil
-
Merge the specified 2d arrays and masks.
- merge2d(INDArray[], INDArray[]) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil
-
Merge the specified 2d arrays and masks.
- merge4d(INDArray[][], INDArray[][], int) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil
-
Merge the specified 4d arrays and masks.
- merge4d(INDArray[], INDArray[]) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil
-
Merge the specified 4d arrays and masks.
- mergeFeatures(INDArray[], INDArray[]) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil
-
Merge the specified features and mask arrays (i.e., concatenate the examples)
- mergeFeatures(INDArray[][], INDArray[][], int) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil
-
Extract out the specified column, and merge the specified features and mask arrays (i.e., concatenate the examples)
- mergeLabels(INDArray[], INDArray[]) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil
-
Merge the specified labels and label mask arrays (i.e., concatenate the examples)
- mergeLabels(INDArray[][], INDArray[][], int) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil
-
Extract out the specified column, and merge the specified label and label mask arrays
(i.e., concatenate the examples)
- mergePerOutputMasks2d(int[], INDArray[][], INDArray[][], int) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil
-
- mergePerOutputMasks2d(int[], INDArray[], INDArray[]) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil
-
- mergeTimeSeries(INDArray[][], INDArray[][], int) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil
-
Merge the specified time series (3d) arrays and masks.
- mergeTimeSeries(INDArray[], INDArray[]) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil
-
Merge the specified time series (3d) arrays and masks.
- MetaOp - Interface in org.nd4j.linalg.api.ops
-
MetaOp is special op, that contains multiple ops
- migrate() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
This method pulls this INDArray into current Workspace.
- migrate() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
This method pulls this INDArray into current Workspace.
- migrate() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
This method migrates this DataSet into current Workspace (if any)
- migrate() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
This method migrates this MultiDataSet into current Workspace (if any)
- migrate() - Method in class org.nd4j.linalg.dataset.DataSet
-
This method migrates this DataSet into current Workspace (if any)
- migrate() - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- min(int...) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- min() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- min(int...) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Returns the overall min of this ndarray
- min(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the overall min of this ndarray
- min(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the overall min of this ndarray
- Min - Class in org.nd4j.linalg.api.ops.impl.accum
-
Calculate the min over a vector
- Min() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Min
-
- Min(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Min
-
- Min(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Min
-
- Min(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Min
-
- Min(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Min
-
- Min - Class in org.nd4j.linalg.api.ops.impl.transforms.comparison
-
Min function
- Min() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.Min
-
- Min(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.Min
-
- Min(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.Min
-
- Min(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.Min
-
- Min(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.Min
-
- min(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- min(IComplexNDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- min(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- min(IComplexNDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- min(INDArray, double, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Minimum function with a scalar
- min(INDArray, double) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Maximum function with a scalar
- min(INDArray, INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Element wise minimum function between 2 INDArrays
- min(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Element wise minimum function between 2 INDArrays
- minComplex() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- minComplex() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- minComplex() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- MiniBatchFileDataSetIterator - Class in org.nd4j.linalg.dataset
-
Mini batch file datasetiterator
auto partitions a dataset in to mini batches
- MiniBatchFileDataSetIterator(DataSet, int) - Constructor for class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
-
- MiniBatchFileDataSetIterator(DataSet, int, boolean, File) - Constructor for class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
-
- MiniBatchFileDataSetIterator(DataSet, int, boolean) - Constructor for class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
-
- minMaxScaleAllInputs() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
Apply min-max scaling to all inputs, except the ones individually configured
- minMaxScaleAllInputs(double, double) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
Apply min-max scaling to all inputs, except the ones individually configured
- minMaxScaleAllOutputs() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
Apply min-max scaling to all outputs, except the ones individually configured
- minMaxScaleAllOutputs(double, double) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
Apply min-max scaling to all outputs, except the ones individually configured
- minMaxScaleInput(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
Apply min-max scaling to a specific input, overriding the global input strategy if any
- minMaxScaleInput(int, double, double) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
Apply min-max scaling to a specific input, overriding the global input strategy if any
- minMaxScaleOutput(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
Apply min-max scaling to a specific output, overriding the global output strategy if any
- minMaxScaleOutput(int, double, double) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
Apply min-max scaling to a specific output, overriding the global output strategy if any
- MinMaxSerializerStrategy - Class in org.nd4j.linalg.dataset.api.preprocessor.serializer
-
- MinMaxSerializerStrategy() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.serializer.MinMaxSerializerStrategy
-
- MinMaxStats - Class in org.nd4j.linalg.dataset.api.preprocessor.stats
-
Statistics about the lower bounds and upper bounds of values in data.
- MinMaxStats(INDArray, INDArray) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.stats.MinMaxStats
-
- MinMaxStats.Builder - Class in org.nd4j.linalg.dataset.api.preprocessor.stats
-
Builder class that can incrementally update a running lower and upper bound in order to create statistics for a
large set of data
- MinMaxStrategy - Class in org.nd4j.linalg.dataset.api.preprocessor
-
NormalizerStrategy implementation that will normalize and denormalize data arrays to a given range, based on
statistics of the upper and lower bounds of the population
- MinMaxStrategy() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.MinMaxStrategy
-
- MinMaxStrategy(double, double) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.MinMaxStrategy
-
- minNumber() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- minNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- minNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns min value in this INDArray
- MixtureDensityComponents() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity.MixtureDensityComponents
-
- mmul(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Perform a copy matrix multiplication
- mmul(INDArray, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Perform an copy matrix multiplication
- mmul(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Perform a copy matrix multiplication
- mmul(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Perform an copy matrix multiplication
- mmul(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Perform a copy matrix multiplication
- mmul(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Perform an copy matrix multiplication
- mmul(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Perform a copy matrix multiplication
- mmul(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Perform an copy matrix multiplication
- Mmul - Class in org.nd4j.linalg.api.ops.impl.accum
-
Dot product
- Mmul() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Mmul
-
- Mmul(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Mmul
-
- Mmul(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Mmul
-
- Mmul(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Mmul
-
- Mmul(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Mmul
-
- mmuli(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Perform an copy matrix multiplication
- mmuli(INDArray, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Perform an copy matrix multiplication
- mmuli(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Perform an copy matrix multiplication
- mmuli(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Perform an copy matrix multiplication
- mmuli(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Perform an copy matrix multiplication
- mmuli(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Perform an copy matrix multiplication
- mmuli(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Perform an inplace matrix multiplication
- mmuli(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Perform an inplace matrix multiplication
- mode - Variable in class org.nd4j.linalg.api.ops.impl.indexaccum.FirstIndex
-
- mode - Variable in class org.nd4j.linalg.api.ops.impl.indexaccum.LastIndex
-
- moveToConstantSpace(DataBuffer) - Method in class org.nd4j.linalg.cache.BasicConstantHandler
-
- moveToConstantSpace(DataBuffer) - Method in interface org.nd4j.linalg.cache.ConstantHandler
-
If specific hardware supports dedicated constant memory,
this method forces DataBuffer passed in to be moved
to that constant memory.
- mpow(INDArray, int, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Raises a square matrix to a power n, which can be positive, negative, or zero.
- mul(Number, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- mul(Number) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- mul(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
copy (element wise) multiplication of two matrices
- mul(INDArray, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
copy (element wise) multiplication of two matrices
- mul(IComplexNumber, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- mul(IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- mul(IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- mul(IComplexNumber, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- mul(IComplexNumber) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- mul(Number, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- mul(Number) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- mul(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
copy (element wise) multiplication of two matrices
- mul(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
copy (element wise) multiplication of two matrices
- mul(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- mul(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
copy (element wise) multiplication of two matrices
- mul(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
copy (element wise) multiplication of two matrices
- mul(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- mul(IComplexNumber) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- mul(IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- mul(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Scalar multiplication (copy)
- mul(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- mul(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
copy (element wise) multiplication of two NDArrays
- mul(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
copy (element wise) multiplication of two NDArrays
- mul(IComplexNumber) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- mul(IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- mulColumnVector(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
In place addition of a column vector
- mulColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
In place addition of a column vector
- mulColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
In place addition of a column vector
- mulColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Multiplication of a column vector (copy)
- muli(Number, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- muli(Number) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- muli(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
in place (element wise) multiplication of two matrices
- muli(INDArray, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
in place (element wise) multiplication of two matrices
- muli(IComplexNumber, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- muli(IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- muli(IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- muli(IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- muli(IComplexNumber, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- muli(IComplexNumber) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- muli(Number, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- muli(Number) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- muli(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
in place (element wise) multiplication of two matrices
- muli(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
in place (element wise) multiplication of two matrices
- muli(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- muli(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
in place (element wise) multiplication of two matrices
- muli(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
in place (element wise) multiplication of two matrices
- muli(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- muli(IComplexNumber) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- muli(IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- muli(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
In place scalar multiplication
- muli(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
In place multiplication of this ndarray
- muli(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
in place (element wise) multiplication of two NDArrays
- muli(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
in place (element wise) multiplication of two NDArrays
- muli(IComplexNumber) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- muli(IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- muliColumnVector(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
In place addition of a column vector
- muliColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
In place addition of a column vector
- muliColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
In place addition of a column vector
- muliColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
In place multiplication of a column vector
- muliRowVector(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
In place addition of a column vector
- muliRowVector(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
In place addition of a column vector
- muliRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
In place addition of a column vector
- muliRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
In place multiplication of a row vector
- MulOp - Class in org.nd4j.linalg.api.ops.impl.transforms.arithmetic
-
Multiplication operation
- MulOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.MulOp
-
- MulOp(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.MulOp
-
- MulOp(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.MulOp
-
- MulOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.MulOp
-
- MulOp(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.MulOp
-
- MulOp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.MulOp
-
- mulRowVector(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
In place addition of a column vector
- mulRowVector(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
In place addition of a column vector
- mulRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
In place addition of a column vector
- mulRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Multiplication of a row vector (copy)
- MultiDataNormalization - Interface in org.nd4j.linalg.dataset.api.preprocessor
-
An interface for multi dataset normalizers.
- MultiDataSet - Interface in org.nd4j.linalg.dataset.api
-
MultiDataSet is an interface for representing complex data sets, that have (potentially) multiple inputs and outputs
For example, some complex neural network architectures may have multiple independent inputs, and multiple independent
outputs.
- MultiDataSet - Class in org.nd4j.linalg.dataset
-
- MultiDataSet() - Constructor for class org.nd4j.linalg.dataset.MultiDataSet
-
Create a new (empty) MultiDataSet object (all fields are null)
- MultiDataSet(INDArray, INDArray) - Constructor for class org.nd4j.linalg.dataset.MultiDataSet
-
MultiDataSet constructor with single features/labels input, no mask arrays
- MultiDataSet(INDArray, INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.dataset.MultiDataSet
-
MultiDataSet constructor with single features/labels input, single mask arrays
- MultiDataSet(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.dataset.MultiDataSet
-
MultiDataSet constructor with no mask arrays
- MultiDataSet(INDArray[], INDArray[], INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.dataset.MultiDataSet
-
- MultiDataSetIterator - Interface in org.nd4j.linalg.dataset.api.iterator
-
- MultiDataSetIteratorFactory - Interface in org.nd4j.linalg.dataset.api.iterator
-
- MultiDataSetPreProcessor - Interface in org.nd4j.linalg.dataset.api
-
PreProcessor interface for MultiDataSets
- MultiHybridSerializerStrategy - Class in org.nd4j.linalg.dataset.api.preprocessor.serializer
-
- MultiHybridSerializerStrategy() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.serializer.MultiHybridSerializerStrategy
-
- MultiMinMaxSerializerStrategy - Class in org.nd4j.linalg.dataset.api.preprocessor.serializer
-
- MultiMinMaxSerializerStrategy() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.serializer.MultiMinMaxSerializerStrategy
-
- MultiNormalizerHybrid - Class in org.nd4j.linalg.dataset.api.preprocessor
-
Pre processor for MultiDataSet that can be configured to use different normalization strategies for different inputs
and outputs, or none at all.
- MultiNormalizerHybrid() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
- MultiNormalizerMinMaxScaler - Class in org.nd4j.linalg.dataset.api.preprocessor
-
Pre processor for MultiDataSet that normalizes feature values (and optionally label values) to lie between a minimum
and maximum value (by default between 0 and 1)
- MultiNormalizerMinMaxScaler() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerMinMaxScaler
-
- MultiNormalizerMinMaxScaler(double, double) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerMinMaxScaler
-
Preprocessor can take a range as minRange and maxRange
- MultiNormalizerStandardize - Class in org.nd4j.linalg.dataset.api.preprocessor
-
Pre processor for MultiDataSet that normalizes feature values (and optionally label values) to have 0 mean and
a standard deviation of 1
- MultiNormalizerStandardize() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize
-
- MultipleEpochsIterator - Class in org.nd4j.linalg.dataset.api.iterator
-
Deprecated.
- MultipleEpochsIterator(int, DataSetIterator) - Constructor for class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator
-
Deprecated.
- multiplyBy(double) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Multiply the features by a scalar
- multiplyBy(double) - Method in class org.nd4j.linalg.dataset.DataSet
-
- MultiStandardizeSerializerStrategy - Class in org.nd4j.linalg.dataset.api.preprocessor.serializer
-
- MultiStandardizeSerializerStrategy() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.serializer.MultiStandardizeSerializerStrategy
-
- n - Variable in class org.nd4j.linalg.api.ops.BaseOp
-
- n() - Method in class org.nd4j.linalg.api.ops.BaseOp
-
- n() - Method in class org.nd4j.linalg.api.ops.impl.accum.Mmul
-
- n() - Method in class org.nd4j.linalg.api.ops.impl.accum.TensorMmul
-
- n() - Method in interface org.nd4j.linalg.api.ops.Op
-
The number of elements to do a op over
- Nadam - Class in org.nd4j.linalg.learning.config
-
Setup and Builder for Nadam updater.
- Nadam() - Constructor for class org.nd4j.linalg.learning.config.Nadam
-
- Nadam(double, double, double, double) - Constructor for class org.nd4j.linalg.learning.config.Nadam
-
- Nadam.Builder - Class in org.nd4j.linalg.learning.config
-
- NadamUpdater - Class in org.nd4j.linalg.learning
-
The Nadam updater.
- NadamUpdater(Nadam) - Constructor for class org.nd4j.linalg.learning.NadamUpdater
-
- name() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
-
- name() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateAxpy
-
- name() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateCBOW
-
- name() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateDot
-
- name() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateGEMM
-
- name() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateSkipGram
-
- name() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.HierarchicSoftmax
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.accum.AMax
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.accum.AMean
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.accum.AMin
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.accum.ASum
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.accum.Bias
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.CosineDistance
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.CosineSimilarity
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.EuclideanDistance
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.HammingDistance
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.JaccardDistance
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.ManhattanDistance
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.accum.Dot
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.accum.Entropy
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.accum.EqualsWithEps
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.accum.LogEntropy
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.accum.MatchCondition
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.accum.Max
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.accum.Mean
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.accum.Min
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.accum.Mmul
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.accum.Norm1
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.accum.Norm2
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.accum.NormMax
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.accum.Prod
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.accum.ShannonEntropy
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.accum.StandardDeviation
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.accum.Sum
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.accum.TensorMmul
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.accum.Variance
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAddOp
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastCopyOp
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastDivOp
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastEqualTo
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGreaterThan
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGreaterThanOrEqual
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastLessThan
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastLessThanOrEqual
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMulOp
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastNotEqual
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRDivOp
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRSubOp
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastSubOp
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.grid.FreeGridOp
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.FirstIndex
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.IAMax
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.IAMin
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.IMax
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.IMin
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.LastIndex
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.meta.InvertedPredicateMetaOp
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.meta.PostulateMetaOp
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.meta.PredicateMetaOp
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.meta.ReduceMetaOp
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThan
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThanOrEqual
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThan
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThanOrEqual
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNotEquals
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarSetValue
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarAdd
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarDivision
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarFMod
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarMax
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarMin
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarMultiplication
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarRemainder
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseDivision
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseSubtraction
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarSet
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarSubtraction
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.shape.Broadcast
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.shape.Permute
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.shape.Reshape
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.shape.Transpose
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Abs
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.ACos
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.ACosh
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.And
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.AddOp
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.Atan2Op
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.Axpy
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.CopyOp
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.DivOp
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.FModOp
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.MulOp
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RDivOp
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RemainderOp
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RSubOp
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.SubOp
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.ASin
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.ASinh
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.ATan
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.ATanh
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Ceil
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndReplace
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.Eps
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.EqualTo
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.GreaterThan
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.GreaterThanOrEqual
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.LessThan
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.LessThanOrEqual
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.Max
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.Min
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.NotEqualTo
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.convolution.Col2Im
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.convolution.Im2col
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.convolution.Pooling2D
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Cos
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Cosh
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Cube
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.CubeDerivative
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.ELU
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.ELUDerivative
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Exp
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Floor
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.HardSigmoid
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.HardSigmoidDerivative
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.HardTanh
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.HardTanhDerivative
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Histogram
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Identity
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.IsMax
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.LeakyReLU
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.LeakyReLUDerivative
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.LegacyDropOut
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.LegacyDropOutInverted
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Log
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.LogSoftMax
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.LogX
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.MaxOut
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Negative
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Not
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.OneMinus
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Ones
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Or
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Pow
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.RationalTanh
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.RationalTanhDerivative
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.RectifedLinear
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.RectifiedTanh
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.RectifiedTanhDerivative
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.ReplaceNans
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Reverse
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Round
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.SELU
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.SELUDerivative
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Set
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.SetRange
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Sigmoid
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.SigmoidDerivative
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Sign
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Sin
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Sinh
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.SoftMax
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.SoftMaxDerivative
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.SoftPlus
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.SoftSign
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.SoftSignDerivative
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Sqrt
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Stabilize
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Step
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Tan
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.TanDerivative
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Tanh
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.TanhDerivative
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.TimesOneMinus
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.VectorFFT
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.VectorIFFT
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Xor
-
- name() - Method in interface org.nd4j.linalg.api.ops.Op
-
The name of this operation
- name() - Method in class org.nd4j.linalg.api.ops.random.impl.BernoulliDistribution
-
- name() - Method in class org.nd4j.linalg.api.ops.random.impl.BinomialDistribution
-
- name() - Method in class org.nd4j.linalg.api.ops.random.impl.BinomialDistributionEx
-
- name() - Method in class org.nd4j.linalg.api.ops.random.impl.Choice
-
- name() - Method in class org.nd4j.linalg.api.ops.random.impl.DropOut
-
- name() - Method in class org.nd4j.linalg.api.ops.random.impl.DropOutInverted
-
- name() - Method in class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution
-
- name() - Method in class org.nd4j.linalg.api.ops.random.impl.Linspace
-
- name() - Method in class org.nd4j.linalg.api.ops.random.impl.ProbablisticMerge
-
- name() - Method in class org.nd4j.linalg.api.ops.random.impl.UniformDistribution
-
- name() - Method in class org.nd4j.linalg.api.ops.TadCollapseAccumulation
-
- name() - Method in interface org.nd4j.linalg.lossfunctions.ILossFunction
-
The name of this function
- name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT
-
The name of this function
- name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossCosineProximity
-
The name of this function
- name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossFMeasure
-
The name of this function
- name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossHinge
-
The name of this function
- name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossKLD
-
The name of this function
- name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossL1
-
The name of this function
- name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossL2
-
The name of this function
- name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAE
-
The name of this function
- name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAPE
-
The name of this function
- name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMCXENT
-
The name of this function
- name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity
-
The name of this function
- name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSE
-
The name of this function
- name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSLE
-
The name of this function
- name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossNegativeLogLikelihood
-
The name of this function
- name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossPoisson
-
The name of this function
- name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossSquaredHinge
-
The name of this function
- NATIVE_OPS - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- Nd4j - Class in org.nd4j.linalg.factory
-
Creation of ndarrays via classpath discovery.
- Nd4j() - Constructor for class org.nd4j.linalg.factory.Nd4j
-
- Nd4j.PadMode - Enum in org.nd4j.linalg.factory
-
- Nd4jEnvironment - Class in org.nd4j.linalg.api.environment
-
An environment descriptor
representing the state of
the system nd4j is running.
- Nd4jEnvironment() - Constructor for class org.nd4j.linalg.api.environment.Nd4jEnvironment
-
- ND4JException - Exception in org.nd4j.linalg.exception
-
Base (unchecked) exception for ND4J errors
- ND4JException() - Constructor for exception org.nd4j.linalg.exception.ND4JException
-
- ND4JException(String) - Constructor for exception org.nd4j.linalg.exception.ND4JException
-
- ND4JException(String, Throwable) - Constructor for exception org.nd4j.linalg.exception.ND4JException
-
- ND4JException(Throwable) - Constructor for exception org.nd4j.linalg.exception.ND4JException
-
- ND4JIllegalStateException - Exception in org.nd4j.linalg.exception
-
ND4JIllegalStateException: thrown on invalid operations (for example, matrix multiplication with invalid arrays)
- ND4JIllegalStateException() - Constructor for exception org.nd4j.linalg.exception.ND4JIllegalStateException
-
- ND4JIllegalStateException(String) - Constructor for exception org.nd4j.linalg.exception.ND4JIllegalStateException
-
- ND4JIllegalStateException(String, Throwable) - Constructor for exception org.nd4j.linalg.exception.ND4JIllegalStateException
-
- ND4JIllegalStateException(Throwable) - Constructor for exception org.nd4j.linalg.exception.ND4JIllegalStateException
-
- Nd4jWorkspace - Class in org.nd4j.linalg.memory.abstracts
-
Basic implementation for
MemoryWorkspace interface,
further extended in corresponding backends
- Nd4jWorkspace(WorkspaceConfiguration) - Constructor for class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- Nd4jWorkspace(WorkspaceConfiguration, String) - Constructor for class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- Nd4jWorkspace.GarbageWorkspaceReference - Class in org.nd4j.linalg.memory.abstracts
-
- NDARRAY_FACTORY_CLASS - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- NDArrayCompressor - Interface in org.nd4j.linalg.compression
-
NDArray compressor.
- NDArrayCreationUtil - Class in org.nd4j.linalg.checkutil
-
This class contains utility methods for generating NDArrays for use in unit tests
The idea is to generate arrays with a specific shape, after various operations have been undertaken on them
So output is after get, reshape, transpose, permute, tensorAlongDimension etc operations have been done
Most useful methods:
- getAllTestMatricesWithShape
- getAll4dTestArraysWithShape
- getAll4dTestArraysWithShape
- NDArrayFactory - Interface in org.nd4j.linalg.factory
-
Creation of ndarrays via classpath discovery.
- ndArrayFactoryClazz - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- NDArrayIndex - Class in org.nd4j.linalg.indexing
-
NDArray indexing
- NDArrayIndex(int...) - Constructor for class org.nd4j.linalg.indexing.NDArrayIndex
-
NDArrayIndexing based on the given
indexes
- NDArrayIndexAll - Class in org.nd4j.linalg.indexing
-
Mainly meant for internal use:
represents all of the elements of a dimension
- NDArrayIndexAll(boolean) - Constructor for class org.nd4j.linalg.indexing.NDArrayIndexAll
-
- NDArrayIndexEmpty - Class in org.nd4j.linalg.indexing
-
- NDArrayIndexEmpty() - Constructor for class org.nd4j.linalg.indexing.NDArrayIndexEmpty
-
- NdArrayJSONReader - Class in org.nd4j.linalg.api.ndarray
-
Created by susaneraly on 6/16/16.
- NdArrayJSONReader() - Constructor for class org.nd4j.linalg.api.ndarray.NdArrayJSONReader
-
- NdArrayJSONWriter - Class in org.nd4j.linalg.api.ndarray
-
Created by susaneraly on 6/18/16.
- NDArrayMath - Class in org.nd4j.linalg.util
-
- NDArrayStrings - Class in org.nd4j.linalg.string
-
- NDArrayStrings() - Constructor for class org.nd4j.linalg.string.NDArrayStrings
-
- NDArrayStrings(String) - Constructor for class org.nd4j.linalg.string.NDArrayStrings
-
- NDArrayStrings(String, boolean) - Constructor for class org.nd4j.linalg.string.NDArrayStrings
-
- NDArrayStrings(int) - Constructor for class org.nd4j.linalg.string.NDArrayStrings
-
- NDArrayStrings(int, boolean) - Constructor for class org.nd4j.linalg.string.NDArrayStrings
-
- NDArrayStrings(String, int) - Constructor for class org.nd4j.linalg.string.NDArrayStrings
-
- NDArrayStrings(String, int, boolean) - Constructor for class org.nd4j.linalg.string.NDArrayStrings
-
- NDArrayStrings(String, int, String) - Constructor for class org.nd4j.linalg.string.NDArrayStrings
-
- NDArrayStrings(String, int, String, boolean) - Constructor for class org.nd4j.linalg.string.NDArrayStrings
-
- NDArrayStrings(boolean) - Constructor for class org.nd4j.linalg.string.NDArrayStrings
-
- NDArrayUtil - Class in org.nd4j.linalg.util
-
Created by agibsonccc on 2/26/16.
- NdIndexIterator - Class in org.nd4j.linalg.api.iter
-
Iterates and returns int arrays
over a particular shape.
- NdIndexIterator(int...) - Constructor for class org.nd4j.linalg.api.iter.NdIndexIterator
-
Pass in the shape to iterate over.
- NdIndexIterator(char, boolean, int...) - Constructor for class org.nd4j.linalg.api.iter.NdIndexIterator
-
Pass in the shape to iterate over.
- NdIndexIterator(char, int...) - Constructor for class org.nd4j.linalg.api.iter.NdIndexIterator
-
Pass in the shape to iterate over
- neg() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Negate each element.
- neg() - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- neg() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Negate each element.
- neg() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the ndarray negative (cloned)
- neg(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Returns the negative of an ndarray
- neg(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Negative
- neg(IComplexNumber) - Static method in class org.nd4j.linalg.util.ComplexUtil
-
Return the log value of the given complex number
- NEG_UNIT - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- Negative - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Negative function
- Negative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Negative
-
- Negative(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Negative
-
- Negative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Negative
-
- Negative(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Negative
-
- Negative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Negative
-
- negi() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Negate each element (in-place).
- negi() - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- negi() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Negate each element (in-place).
- negi() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
In place setting of the negative version of this ndarray
- neq(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- neq(Number) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- neq(IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- neq(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- neq(Number) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- neq(IComplexNumber) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- neq(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- neq(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- neq(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the binary ndarray for "Not equals" comparison.
- neq(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the binary ndarray for "Not equals" comparison.
- neqi(Number) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- neqi(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- neqi(IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- neqi(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- neqi(Number) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- neqi(IComplexNumber) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- neqi(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- neqi(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- neqi(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the binary ndarray for "Not equals" comparison.
- neqi(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the binary ndarray for "Not equals" comparison.
- Nesterovs - Class in org.nd4j.linalg.learning.config
-
Nesterov's momentum.
- Nesterovs() - Constructor for class org.nd4j.linalg.learning.config.Nesterovs
-
- Nesterovs(double) - Constructor for class org.nd4j.linalg.learning.config.Nesterovs
-
- Nesterovs(double, double) - Constructor for class org.nd4j.linalg.learning.config.Nesterovs
-
- Nesterovs.Builder - Class in org.nd4j.linalg.learning.config
-
- NesterovsUpdater - Class in org.nd4j.linalg.learning
-
Nesterov's momentum.
- NesterovsUpdater(Nesterovs) - Constructor for class org.nd4j.linalg.learning.NesterovsUpdater
-
- newAxis() - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
-
Represents adding a new dimension
- NewAxis - Class in org.nd4j.linalg.indexing
-
New axis index.
- NewAxis() - Constructor for class org.nd4j.linalg.indexing.NewAxis
-
- newBuilder() - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer
-
- newBuilder() - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer
-
- newBuilder() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerMinMaxScaler
-
- newBuilder() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize
-
- newBuilder() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler
-
- newBuilder() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize
-
- newShape(int[], char) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- newShape(int[], char) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- newShapeNoCopy(INDArray, int[], boolean) - Static method in class org.nd4j.linalg.api.shape.Shape
-
A port of numpy's reshaping algorithm that leverages
no copy where possible and returns
null if the reshape
couldn't happen without copying
- newStatsBuilder() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MinMaxStrategy
-
Create a new NormalizerStats.Builder instance that can be used to fit new data and of the type that
belongs to the current NormalizerStrategy implementation
- newStatsBuilder() - Method in interface org.nd4j.linalg.dataset.api.preprocessor.NormalizerStrategy
-
Create a new NormalizerStats.Builder instance that can be used to fit new data and of the type that
belongs to the current NormalizerStrategy implementation
- newStatsBuilder() - Method in class org.nd4j.linalg.dataset.api.preprocessor.StandardizeStrategy
-
Create a new NormalizerStats.Builder instance that can be used to fit new data and of the type that
belongs to the current NormalizerStrategy implementation
- newStrides(int[], int, INDArrayIndex[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- next() - Method in class org.nd4j.linalg.api.iter.FirstAxisIterator
-
- next() - Method in class org.nd4j.linalg.api.iter.FlatIterator
-
- next() - Method in class org.nd4j.linalg.api.iter.INDArrayIterator
-
- next() - Method in class org.nd4j.linalg.api.iter.NdIndexIterator
-
- next() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator
-
- next(int) - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator
-
- next(int) - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator
-
- next() - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator
-
- next(int) - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator
-
Like the standard next method but allows a
customizable number of examples returned
- next() - Method in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher
-
- next() - Method in interface org.nd4j.linalg.dataset.api.iterator.fetcher.DataSetFetcher
-
Returns the next data applyTransformToDestination
- next(int) - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator
-
- next() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator
-
- next(int) - Method in interface org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator
-
Fetch the next 'num' examples.
- next(int) - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator
-
Deprecated.
Like the standard next method but allows a
customizable number of examples returned
- next() - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator
-
Deprecated.
Returns the next element in the iteration.
- next() - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator
-
- next(int) - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator
-
- next() - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator
-
- next(int) - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator
-
- next(int) - Method in class org.nd4j.linalg.dataset.api.iterator.TestMultiDataSetIterator
-
- next() - Method in class org.nd4j.linalg.dataset.api.iterator.TestMultiDataSetIterator
-
- next(int) - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator
-
- next() - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator
-
- next(int) - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
-
- next() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
-
- next(int) - Method in class org.nd4j.linalg.dataset.ViewIterator
-
- next() - Method in class org.nd4j.linalg.dataset.ViewIterator
-
- next() - Method in interface org.nd4j.linalg.indexing.INDArrayIndex
-
Returns the next index
- next() - Method in class org.nd4j.linalg.indexing.IntervalIndex
-
- next() - Method in class org.nd4j.linalg.indexing.NDArrayIndex
-
- next() - Method in class org.nd4j.linalg.indexing.NDArrayIndexEmpty
-
- next() - Method in class org.nd4j.linalg.indexing.NewAxis
-
- next() - Method in class org.nd4j.linalg.indexing.PointIndex
-
- next() - Method in class org.nd4j.linalg.indexing.SpecifiedIndex
-
- next() - Method in class org.nd4j.linalg.indexing.SpecifiedIndex.SingleGenerator
-
- next() - Method in class org.nd4j.linalg.indexing.SpecifiedIndex.SpecifiedIndexesGenerator
-
- nextBoolean() - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
- nextBoolean() - Method in interface org.nd4j.linalg.api.rng.Random
-
Returns the next pseudorandom, uniformly distributed
boolean value from this random number generator's
sequence.
- nextBytes(byte[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
- nextBytes(byte[]) - Method in interface org.nd4j.linalg.api.rng.Random
-
Generates random bytes and places them into a user-supplied
byte array.
- nextDouble() - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
- nextDouble(int[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
- nextDouble(char, int[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
- nextDouble() - Method in interface org.nd4j.linalg.api.rng.Random
-
Returns the next pseudorandom, uniformly distributed
double value between 0.0 and
1.0 from this random number generator's sequence.
- nextDouble(int[]) - Method in interface org.nd4j.linalg.api.rng.Random
-
Generate a uniform number ndarray
of the specified shape
- nextDouble(char, int[]) - Method in interface org.nd4j.linalg.api.rng.Random
-
Generate a uniform number ndarray
of the specified shape and order
- nextFloat() - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
- nextFloat(int[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
- nextFloat(char, int[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
- nextFloat() - Method in interface org.nd4j.linalg.api.rng.Random
-
Returns the next pseudorandom, uniformly distributed float
value between 0.0 and 1.0 from this random
number generator's sequence.
- nextFloat(int[]) - Method in interface org.nd4j.linalg.api.rng.Random
-
Generate a uniform number ndarray
of the specified shape
- nextFloat(char, int[]) - Method in interface org.nd4j.linalg.api.rng.Random
-
Generate a uniform number ndarray
of the specified shape
- nextFor(int) - Method in interface org.nd4j.linalg.dataset.api.iterator.ParallelDataSetIterator
-
Returns next DataSet for given consumer
- nextFor() - Method in interface org.nd4j.linalg.dataset.api.iterator.ParallelDataSetIterator
-
Returns next DataSet for attached consumer
- nextFor(int) - Method in interface org.nd4j.linalg.dataset.api.iterator.ParallelMultiDataSetIterator
-
Returns next DataSet for given consumer
- nextFor() - Method in interface org.nd4j.linalg.dataset.api.iterator.ParallelMultiDataSetIterator
-
Returns next DataSet for attached consumer
- nextGaussian() - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
- nextGaussian(int[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
- nextGaussian(char, int[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
- nextGaussian() - Method in interface org.nd4j.linalg.api.rng.Random
-
Returns the next pseudorandom, Gaussian ("normally") distributed
double value with mean 0.0 and standard
deviation 1.0 from this random number generator's sequence.
- nextGaussian(int[]) - Method in interface org.nd4j.linalg.api.rng.Random
-
Generate a gaussian number ndarray
of the specified shape
- nextGaussian(char, int[]) - Method in interface org.nd4j.linalg.api.rng.Random
-
Generate a gaussian number ndarray
of the specified shape and order
- nextInt() - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
- nextInt(int) - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
- nextInt(int[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
- nextInt(int, int[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
- nextInt() - Method in interface org.nd4j.linalg.api.rng.Random
-
Returns the next pseudorandom, uniformly distributed int
value from this random number generator's sequence.
- nextInt(int) - Method in interface org.nd4j.linalg.api.rng.Random
-
Returns a pseudorandom, uniformly distributed int value
between 0 (inclusive) and the specified value (exclusive), drawn from
this random number generator's sequence.
- nextInt(int[]) - Method in interface org.nd4j.linalg.api.rng.Random
-
Generate a random set of integers
of the specified shape.
- nextInt(int, int[]) - Method in interface org.nd4j.linalg.api.rng.Random
-
Generate a random set of integers
of the specified shape.
- nextLong() - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
- nextLong() - Method in interface org.nd4j.linalg.api.rng.Random
-
Returns the next pseudorandom, uniformly distributed long
value from this random number generator's sequence.
- noGcWindow - Variable in class org.nd4j.linalg.memory.BasicMemoryManager
-
- noOp() - Method in interface org.nd4j.linalg.api.ops.Accumulation
-
Returns the no op version
of the input
Basically when a reduce can't happen (eg: sum(0) on a row vector)
you have a no op state for a given reduction.
- noOp() - Method in class org.nd4j.linalg.api.ops.BaseAccumulation
-
- noOp() - Method in class org.nd4j.linalg.api.ops.impl.accum.Norm1
-
- noOp() - Method in class org.nd4j.linalg.api.ops.impl.accum.Norm2
-
- noOp() - Method in class org.nd4j.linalg.api.ops.impl.accum.NormMax
-
- noOp() - Method in class org.nd4j.linalg.api.ops.impl.accum.Variance
-
- NoOp - Class in org.nd4j.linalg.learning.config
-
NoOp updater: gradient updater that makes no changes to the gradient
- NoOp() - Constructor for class org.nd4j.linalg.learning.config.NoOp
-
- NoOpUpdater - Class in org.nd4j.linalg.learning
-
NoOp updater: gradient updater that makes no changes to the gradient
- NoOpUpdater(NoOp) - Constructor for class org.nd4j.linalg.learning.NoOpUpdater
-
- norm1(int...) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- norm1(int...) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Returns the norm1 along the specified dimension
- norm1(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the norm1 along the specified dimension
- norm1(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the norm1 (L1 norm, i.e., sum of absolute values; also known as Taxicab or Manhattan norm) along the
specified dimension
- Norm1 - Class in org.nd4j.linalg.api.ops.impl.accum
-
Sum of absolute values
- Norm1() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Norm1
-
- Norm1(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Norm1
-
- Norm1(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Norm1
-
- Norm1(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Norm1
-
- Norm1(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Norm1
-
- norm1(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- norm1(IComplexNDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- norm1(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- norm1(IComplexNDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- norm1Complex() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- norm1Complex() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- norm1Complex() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Calculate and return norm1 (L1 norm, i.e., sum of absolute values; also known as Taxicab or Manhattan norm) for
the entire array
- norm1Number() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- norm1Number() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- norm1Number() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Calculate and return norm1 (L1 norm, i.e., sum of absolute values; also known as Taxicab or Manhattan norm) for
the entire array
- norm2(int...) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- norm2(int...) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Returns the norm2 along the specified dimension
- norm2(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the norm2 along the specified dimension
- norm2(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the norm2 (L2 norm, sqrt(sum(x_i^2), also known as Euclidean norm) along the specified dimension(s)
- Norm2 - Class in org.nd4j.linalg.api.ops.impl.accum
-
Sum of squared values (real)
Sum of squared complex modulus (complex)
- Norm2() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Norm2
-
- Norm2(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Norm2
-
- Norm2(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Norm2
-
- Norm2(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Norm2
-
- Norm2(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Norm2
-
- norm2(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- norm2(IComplexNDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- norm2(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- norm2(IComplexNDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- norm2Complex() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- norm2Complex() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- norm2Complex() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- norm2Number() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- norm2Number() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- norm2Number() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Return the norm2 (L2 norm, sqrt(sum(x_i^2), also known as Euclidean norm) for the entire array
- NormalDistribution - Class in org.nd4j.linalg.api.rng.distribution.impl
-
Base distribution derived from apache commons math
http://commons.apache.org/proper/commons-math/
(specifically the
org.apache.commons.math3.distribution.NormalDistribution
- NormalDistribution(Random, double, INDArray) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
- NormalDistribution(double, INDArray) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
- NormalDistribution() - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
Create a normal distribution with mean equal to zero and standard
deviation equal to one.
- NormalDistribution(double, double) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
Create a normal distribution using the given mean and standard deviation.
- NormalDistribution(Random, double, double) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
- NormalDistribution(double, double, double) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
Create a normal distribution using the given mean, standard deviation and
inverse cumulative distribution accuracy.
- NormalDistribution(Random, double, double, double) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
Creates a normal distribution.
- NormalDistribution(INDArray, double) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
- normalize() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Normalize this DataSet to mean 0, stdev 1 per input.
- normalize() - Method in class org.nd4j.linalg.dataset.DataSet
-
- normalizeMatrix(INDArray) - Static method in class org.nd4j.linalg.util.FeatureUtil
-
- Normalizer<T> - Interface in org.nd4j.linalg.dataset.api.preprocessor
-
Base interface for all normalizers
- NormalizerMinMaxScaler - Class in org.nd4j.linalg.dataset.api.preprocessor
-
Pre processor for DataSets that normalizes feature values (and optionally label values) to lie between a minimum
and maximum value (by default between 0 and 1)
- NormalizerMinMaxScaler() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler
-
- NormalizerMinMaxScaler(double, double) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler
-
Preprocessor can take a range as minRange and maxRange
- NormalizerSerializer - Class in org.nd4j.linalg.dataset.api.preprocessor.serializer
-
Utility for serializing and unserializing
Normalizer instances.
- NormalizerSerializer() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerSerializer
-
- NormalizerSerializerStrategy<T extends Normalizer> - Interface in org.nd4j.linalg.dataset.api.preprocessor.serializer
-
Strategy for serializing and unserializing a specific type of normalizer
- NormalizerStandardize - Class in org.nd4j.linalg.dataset.api.preprocessor
-
Created by susaneraly, Ede Meijer
variance and mean
Pre processor for DataSet that normalizes feature values (and optionally label values) to have 0 mean and a standard
deviation of 1
- NormalizerStandardize(INDArray, INDArray) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize
-
- NormalizerStandardize(INDArray, INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize
-
- NormalizerStandardize() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize
-
- NormalizerStats - Interface in org.nd4j.linalg.dataset.api.preprocessor.stats
-
Interface for certain statistics about a population of data.
- NormalizerStats.Builder<S extends NormalizerStats> - Interface in org.nd4j.linalg.dataset.api.preprocessor.stats
-
- NormalizerStrategy<S extends NormalizerStats> - Interface in org.nd4j.linalg.dataset.api.preprocessor
-
Interface for strategies that can normalize and denormalize data arrays based on statistics of the population
- NormalizerType - Enum in org.nd4j.linalg.dataset.api.preprocessor.serializer
-
Enum representing the type of a normalizer for serialization purposes
- normalizeZeroMeanAndUnitVariance(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Normalize data to zero mean and unit variance
substract by the mean and divide by the standard deviation
- normalizeZeroMeanZeroUnitVariance() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- normalizeZeroMeanZeroUnitVariance() - Method in class org.nd4j.linalg.dataset.DataSet
-
Deprecated.
- normmax(int...) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- normmax(int...) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Returns the normmax along the specified dimension
- normmax(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the normmax along the specified dimension
- normmax(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the max norm (aka infinity norm, equal to the maximum absolute value) along the specified dimension(s)
- NormMax - Class in org.nd4j.linalg.api.ops.impl.accum
-
The max absolute value
- NormMax() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.NormMax
-
- NormMax(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.NormMax
-
- NormMax(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.NormMax
-
- NormMax(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.NormMax
-
- NormMax(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.NormMax
-
- normmax(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- normmax(IComplexNDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- normmax(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- normmax(IComplexNDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- normmaxComplex() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- normmaxComplex() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- normmaxComplex() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- normmaxNumber() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- normmaxNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- normmaxNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Return the max norm (aka infinity norm, equal to the maximum absolute value) for the entire array
- Not - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Boolean AND pairwise transform
- Not() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Not
-
- Not(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Not
-
- Not(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Not
-
- Not(INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Not
-
- Not(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Not
-
- Not(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Not
-
- Not(INDArray, INDArray, Number, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Not
-
- not() - Method in class org.nd4j.linalg.indexing.conditions.ConditionBuilder
-
- Not - Class in org.nd4j.linalg.indexing.conditions
-
Created by agibsonccc on 10/9/14.
- Not(Condition) - Constructor for class org.nd4j.linalg.indexing.conditions.Not
-
- not(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- notEquals(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
-
- NotEqualsCondition - Class in org.nd4j.linalg.indexing.conditions
-
Created by agibsonccc on 10/8/14.
- NotEqualsCondition(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.NotEqualsCondition
-
- NotEqualsCondition(IComplexNumber) - Constructor for class org.nd4j.linalg.indexing.conditions.NotEqualsCondition
-
- NotEqualTo - Class in org.nd4j.linalg.api.ops.impl.transforms.comparison
-
Not equal to function:
Bit mask over whether 2 elements are not equal or not
- NotEqualTo() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.NotEqualTo
-
- NotEqualTo(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.NotEqualTo
-
- NotEqualTo(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.NotEqualTo
-
- NotEqualTo(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.NotEqualTo
-
- NotEqualTo(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.NotEqualTo
-
- notifyScopeBorrowed() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
This method TEMPORARY enters this workspace, without reset applied
- notifyScopeBorrowed() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method TEMPORARY enters this workspace, without reset applied
- notifyScopeEntered() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
This method notifies given Workspace that new use cycle is starting now
- notifyScopeEntered() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- notifyScopeEntered() - Method in class org.nd4j.linalg.memory.BasicMemoryManager
-
- notifyScopeEntered() - Method in interface org.nd4j.linalg.memory.MemoryManager
-
PLEASE NOTE: This method is under development yet.
- notifyScopeLeft() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
This method notifies given Workspace that use cycle just ended
- notifyScopeLeft() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method is shortcut to close() method
- notifyScopeLeft() - Method in class org.nd4j.linalg.memory.BasicMemoryManager
-
- notifyScopeLeft() - Method in interface org.nd4j.linalg.memory.MemoryManager
-
PLEASE NOTE: This method is under development yet.
- nrm2(INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
computes the Euclidean norm of a vector.
- nrm2(IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
computes the Euclidean norm of a vector.
- nrm2(INDArray) - Method in interface org.nd4j.linalg.api.blas.Level1
-
computes the Euclidean norm of a vector.
- nrm2(IComplexNDArray) - Method in interface org.nd4j.linalg.api.blas.Level1
-
computes the Euclidean norm of a vector.
- nrm2(INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- nrm2(IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- nrm2(INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Compute || x ||_2 (2-norm)
- nrm2(IComplexNDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
- nTimes(INDArrayIndex, int) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
-
Repeat a copy of copy n times
- num - Variable in class org.nd4j.linalg.api.ops.BaseScalarOp
-
- NUMERICAL_STABILITY - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- numExamples() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Number of examples in the DataSet
- numExamples - Variable in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator
-
- numExamples() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator
-
- numExamples() - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator
-
- numExamples() - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator
-
Total number of examples in the dataset
- numExamples() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator
-
- numExamples() - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator
-
Deprecated.
Total number of examples in the dataset
- numExamples() - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator
-
- numExamples() - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator
-
- numExamples() - Method in class org.nd4j.linalg.dataset.DataSet
-
- numExamples() - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator
-
- numExamples() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
-
- numExamples() - Method in class org.nd4j.linalg.dataset.ViewIterator
-
- numFeatureArrays() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Number of arrays of features/input data in the MultiDataSet
- numFeatureArrays() - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- numInputs() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Number of input values - i.e., size of the features INDArray per example
- numInputs() - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer
-
Get the number of inputs
- numInputs() - Method in class org.nd4j.linalg.dataset.DataSet
-
The number of inputs in the feature matrix
- numIterations - Variable in class org.nd4j.linalg.learning.AdaGradUpdater
-
- numIterations - Variable in class org.nd4j.linalg.learning.legacy.AdaGrad
-
- numLabelsArrays() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Number of arrays of label/output data in the MultiDataSet
- numLabelsArrays() - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- numNewAxis(INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
-
Given an array of indexes
return the number of new axis elements
in teh array
- numOutcomes() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Returns the number of outcomes (size of the labels array for each example)
- numOutcomes - Variable in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher
-
- numOutcomes() - Method in class org.nd4j.linalg.dataset.DataSet
-
- numOutputs() - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer
-
Get the number of outputs
- numParams(int) - Method in class org.nd4j.linalg.activations.BaseActivationFunction
-
- numParams(int) - Method in interface org.nd4j.linalg.activations.IActivation
-
- numPoints(INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
-
Number of point indexes
- numProcessed() - Method in class org.nd4j.linalg.api.ops.BaseAccumulation
-
- numProcessed - Variable in class org.nd4j.linalg.api.ops.BaseOp
-
- numProcessed() - Method in class org.nd4j.linalg.api.ops.BaseOp
-
- numProcessed() - Method in interface org.nd4j.linalg.api.ops.Op
-
Number processed
- numTensors - Variable in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil.Tensor1DStats
-
- numVectors(INDArray) - Static method in class org.nd4j.linalg.util.NDArrayMath
-
Return the number of vectors for an array
the number of vectors for an array
- pad(INDArray, int[][], Nd4j.PadMode) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Pad the given ndarray to the size along each dimension
- pad(INDArray, int[][], List<double[]>, Nd4j.PadMode) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Pad the given ndarray to the size along each dimension
- pad(INDArray, int[], List<double[]>, Nd4j.PadMode) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Pad the given ndarray to the size along each dimension
- pad(INDArray, int[], Nd4j.PadMode) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Pad the given ndarray to the size along each dimension
- padWithZeros(IComplexNDArray, int[]) - Static method in class org.nd4j.linalg.util.ComplexNDArrayUtil
-
Pads an ndarray with zeros
- ParallelDataSetIterator - Interface in org.nd4j.linalg.dataset.api.iterator
-
- ParallelMultiDataSetIterator - Interface in org.nd4j.linalg.dataset.api.iterator
-
- parentWorkspace - Variable in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
- parseComplexNumber(String) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Parse a complex number
- passThrough - Variable in class org.nd4j.linalg.api.ops.BaseOp
-
- PCA - Class in org.nd4j.linalg.dimensionalityreduction
-
PCA class for dimensionality reduction and general analysis
- PCA(INDArray) - Constructor for class org.nd4j.linalg.dimensionalityreduction.PCA
-
Create a PCA instance with calculated data: covariance, mean, eigenvectors, and eigenvalues.
- pca(INDArray, int, boolean) - Static method in class org.nd4j.linalg.dimensionalityreduction.PCA
-
Calculates pca vectors of a matrix, for a fixed number of reduced features
returns the reduced feature set
The return is a projection of A onto principal nDims components
To use the PCA: assume A is the original feature set
then project A onto a reduced set of features.
- pca(INDArray, double, boolean) - Static method in class org.nd4j.linalg.dimensionalityreduction.PCA
-
Calculates pca reduced value of a matrix, for a given variance.
- pca2(INDArray, double) - Static method in class org.nd4j.linalg.dimensionalityreduction.PCA
-
This method performs a dimensionality reduction, including principal components
that cover a fraction of the total variance of the system.
- pca_factor(INDArray, int, boolean) - Static method in class org.nd4j.linalg.dimensionalityreduction.PCA
-
Calculates pca factors of a matrix, for a fixed number of reduced features
returns the factors to scale observations
The return is a factor matrix to reduce (normalized) feature sets
- pca_factor(INDArray, double, boolean) - Static method in class org.nd4j.linalg.dimensionalityreduction.PCA
-
Calculates pca vectors of a matrix, for a given variance.
- percentile(Number, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- percentile(Number, int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
This method returns median along given dimension(s)
- percentileNumber(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- percentileNumber(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
This method returns percentile value for this INDArray
- perform(int, RawArrayIterationInformation4, DataBuffer, int, DataBuffer, int, DataBuffer, int, DataBuffer, int) - Method in interface org.nd4j.linalg.api.shape.loop.four.LoopFunction4
-
Perform an operation
given 2 buffers
- perform(int, RawArrayIterationInformation4, DataBuffer, int, DataBuffer, int, DataBuffer, int, DataBuffer, int) - Method in interface org.nd4j.linalg.api.shape.loop.one.LoopFunction1
-
Perform an operation
given 2 buffers
- perform(int, RawArrayIterationInformation3, DataBuffer, int, DataBuffer, int, DataBuffer, int) - Method in interface org.nd4j.linalg.api.shape.loop.three.LoopFunction3
-
Perform an operation
given 2 buffers
- perform(int, RawArrayIterationInformation2, DataBuffer, int, DataBuffer, int) - Method in class org.nd4j.linalg.api.shape.loop.two.CopyLoopFunction
-
- perform(int, RawArrayIterationInformation2, DataBuffer, int, DataBuffer, int) - Method in interface org.nd4j.linalg.api.shape.loop.two.LoopFunction2
-
Perform an operation
given 2 buffers
- performSmallerDimension - Variable in class org.nd4j.linalg.api.ops.TadCollapseAccumulation
-
- periodicEnabled - Variable in class org.nd4j.linalg.memory.BasicMemoryManager
-
- permute(int[]) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
See: http://www.mathworks.com/help/matlab/ref/permute.html
- permute(int...) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
See: http://www.mathworks.com/help/matlab/ref/permute.html
- permute(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
See: http://www.mathworks.com/help/matlab/ref/permute.html
- permute(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
See: http://www.mathworks.com/help/matlab/ref/permute.html
- Permute - Class in org.nd4j.linalg.api.ops.impl.shape
-
Transpose function
- Permute() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Permute
-
- Permute(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Permute
-
- Permute(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Permute
-
- Permute(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Permute
-
- Permute(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Permute
-
- permutei(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
An in-place version of permute.
- permutei(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
An in-place version of permute.
- pickReference(MemoryWorkspace) - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
- pile(INDArray...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method stacks vertically examples with the same shape, increasing result dimensionality.
- pile(Collection<INDArray>) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method stacks vertically examples with the same shape, increasing result dimensionality.
- pinnedAllocations - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- pinnedAllocationsSize - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- pinnedCount - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- point(int) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
-
Returns a point index
- PointIndex - Class in org.nd4j.linalg.indexing
-
- PointIndex(int) - Constructor for class org.nd4j.linalg.indexing.PointIndex
-
- Pooling2D - Class in org.nd4j.linalg.api.ops.impl.transforms.convolution
-
Pooling2D operation
- Pooling2D() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.convolution.Pooling2D
-
- Pooling2D(INDArray, int, int, int, int, int, int, boolean, Pooling2D.Pooling2DType, double, int, int, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.convolution.Pooling2D
-
- pooling2D(INDArray, int, int, int, int, int, int, boolean, Pooling2D.Pooling2DType, double, int, int, INDArray) - Static method in class org.nd4j.linalg.convolution.Convolution
-
- Pooling2D.Pooling2DType - Enum in org.nd4j.linalg.api.ops.impl.transforms.convolution
-
- postProcess(IComplexNDArray, int) - Method in class org.nd4j.linalg.fft.DefaultFFTInstance
-
- PostulateMetaOp - Class in org.nd4j.linalg.api.ops.impl.meta
-
You're NOT supposed to directly call this op.
- PostulateMetaOp() - Constructor for class org.nd4j.linalg.api.ops.impl.meta.PostulateMetaOp
-
- PostulateMetaOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.PostulateMetaOp
-
- PostulateMetaOp(ScalarOp, Accumulation) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.PostulateMetaOp
-
- PostulateMetaOp(TransformOp, Accumulation) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.PostulateMetaOp
-
- PostulateMetaOp(OpDescriptor, OpDescriptor) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.PostulateMetaOp
-
- posv(char, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- posv(char, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
- potrf(INDArray, boolean) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
- potrf(INDArray, boolean) - Method in interface org.nd4j.linalg.api.blas.Lapack
-
Triangular decomposiiton of a positive definite matrix ( cholesky )
Factorize a matrix A such that A = LL* (assuming lower==true) or
A = U*U (a * represents conjugate i.e.
- Pow - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Pow function
- Pow() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Pow
-
- Pow(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Pow
-
- Pow(INDArray, INDArray, long, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Pow
-
- Pow(INDArray, INDArray, INDArray, long, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Pow
-
- Pow(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Pow
-
- pow(INDArray, Number) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Pow function
- pow(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Pow function
- pow(INDArray, Number, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Pow function
- pow(IComplexNumber, IComplexNumber) - Static method in class org.nd4j.linalg.util.ComplexUtil
-
Raise a complex number to a power
- pow(IComplexNumber, double) - Static method in class org.nd4j.linalg.util.ComplexUtil
-
Raise a complex number to a power
- PredicateMetaOp - Class in org.nd4j.linalg.api.ops.impl.meta
-
This MetaOp covers case, when Op A and Op B are both using linear memory access
You're NOT supposed to directly call this op.
- PredicateMetaOp() - Constructor for class org.nd4j.linalg.api.ops.impl.meta.PredicateMetaOp
-
- PredicateMetaOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.PredicateMetaOp
-
- PredicateMetaOp(Op, Op) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.PredicateMetaOp
-
- PredicateMetaOp(OpDescriptor, OpDescriptor) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.PredicateMetaOp
-
- PredicateMetaOp(ScalarOp, TransformOp) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.PredicateMetaOp
-
- PredicateMetaOp(TransformOp, TransformOp) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.PredicateMetaOp
-
- PredicateMetaOp(TransformOp, ScalarOp) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.PredicateMetaOp
-
- PredicateMetaOp(ScalarOp, ScalarOp) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.PredicateMetaOp
-
- prepareRawArrayIter(INDArray) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Prepares two arrays for
raw iteration linearly through the data.
- prepend(INDArray, int, double, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Append the given
array with the specified value size
along a particular axis
- preProcess(DataSet) - Method in interface org.nd4j.linalg.dataset.api.DataSetPreProcessor
-
Pre process a dataset
- preProcess(MultiDataSet) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSetPreProcessor
-
Preprocess the MultiDataSet
- preProcess(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer
-
Pre process a dataset
- preProcess(MultiDataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer
-
Pre process a MultiDataSet
- preProcess(MultiDataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.classimbalance.UnderSamplingByMaskingMultiDataSetPreProcessor
-
- preProcess(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.classimbalance.UnderSamplingByMaskingPreProcessor
-
- preProcess(DataSet) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.DataNormalization
-
- preProcess(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImageFlatteningDataSetPreProcessor
-
- preProcess(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler
-
- preProcess(INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler
-
- preProcess(INDArray, INDArray, MinMaxStats) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MinMaxStrategy
-
Normalize a data array
- preProcess(MultiDataSet) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.MultiDataNormalization
-
- preProcess(MultiDataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
- preProcess(INDArray, INDArray, S) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.NormalizerStrategy
-
Normalize a data array
- preProcess(INDArray, INDArray, DistributionStats) - Method in class org.nd4j.linalg.dataset.api.preprocessor.StandardizeStrategy
-
Normalize a data array
- preProcess(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.VGG16ImagePreProcessor
-
- preProcess(INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.VGG16ImagePreProcessor
-
- preProcess(IComplexNDArray, IComplexNDArray, int, int) - Method in class org.nd4j.linalg.fft.DefaultFFTInstance
-
- preProcessor - Variable in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator
-
- preProcessor - Variable in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator
-
- preventUnpack - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- previousWorkspace - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- principalComponents(INDArray) - Static method in class org.nd4j.linalg.dimensionalityreduction.PCA
-
Calculates the principal component vectors and their eigenvalues (lambda) for the covariance matrix.
- printAllocationStatisticsForCurrentThread() - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
This method prints out basic statistics for workspaces allocated in current thread
- printApacheMatrix(RealMatrix) - Static method in class org.nd4j.linalg.checkutil.CheckUtil
-
- printAvailableCompressors() - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
Prints available compressors to standard out
- printEnvironmentInformation() - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- printEnvironmentInformation() - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
This method prints out environmental information returned by getEnvironmentInformation() method
- printFailureDetails(INDArray, INDArray, RealMatrix, INDArray, INDArray, String) - Static method in class org.nd4j.linalg.checkutil.CheckUtil
-
- printFailureDetails(INDArray, INDArray, INDArray, INDArray, INDArray, String) - Static method in class org.nd4j.linalg.checkutil.CheckUtil
-
- printGemmFailureDetails(INDArray, INDArray, INDArray, boolean, boolean, double, double, RealMatrix, INDArray, INDArray) - Static method in class org.nd4j.linalg.checkutil.CheckUtil
-
- printMatrixFullPrecision(INDArray) - Static method in class org.nd4j.linalg.checkutil.CheckUtil
-
- printNDArrayHeader(INDArray) - Static method in class org.nd4j.linalg.checkutil.CheckUtil
-
- printOutDashboard() - Method in class org.nd4j.linalg.profiler.OpProfiler
-
This method prints out dashboard state
- probability(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.BaseDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(x0 < X <= x1).
- probability(double) - Method in class org.nd4j.linalg.api.rng.distribution.BaseDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(X = x).
- probability(double) - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(X = x).
- probability(int) - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
- probability(double, double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
For a random variable X whose values are distributed according
to this distribution, this method returns P(x0 < X <= x1).
- ProbablisticMerge - Class in org.nd4j.linalg.api.ops.random.impl
-
- ProbablisticMerge() - Constructor for class org.nd4j.linalg.api.ops.random.impl.ProbablisticMerge
-
- ProbablisticMerge(INDArray, INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.ProbablisticMerge
-
- ProbablisticMerge(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.ProbablisticMerge
-
- process(int[]...) - Method in interface org.nd4j.linalg.api.shape.loop.coordinatefunction.CoordinateFunction
-
- process(int[]...) - Method in class org.nd4j.linalg.api.shape.loop.coordinatefunction.CopyCoordinateFunction
-
- processBlasCall(String) - Method in class org.nd4j.linalg.profiler.OpProfiler
-
Deprecated.
- processBlasCall(boolean, INDArray...) - Method in class org.nd4j.linalg.profiler.OpProfiler
-
- processMemoryAccess() - Method in class org.nd4j.linalg.profiler.OpProfiler
-
- processOpCall(Op) - Method in class org.nd4j.linalg.profiler.OpProfiler
-
This method tracks op calls
- processOpCall(Op, DataBuffer...) - Method in class org.nd4j.linalg.profiler.OpProfiler
-
- processOperands(INDArray, INDArray) - Method in class org.nd4j.linalg.profiler.OpProfiler
-
- processOperands(INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.profiler.OpProfiler
-
- processOperands(INDArray...) - Method in class org.nd4j.linalg.profiler.OpProfiler
-
This method checks for something somewhere
- processOrders(INDArray...) - Method in class org.nd4j.linalg.profiler.OpProfiler
-
- processScalarCall() - Method in class org.nd4j.linalg.profiler.OpProfiler
-
This method tracks INDArray.putScalar()/getScalar() calls
- processStackCall(Op, long) - Method in class org.nd4j.linalg.profiler.OpProfiler
-
This method builds
- processTADOperands(DataBuffer...) - Method in class org.nd4j.linalg.profiler.OpProfiler
-
- prod(int...) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- prod(int...) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Returns the product along a given dimension
- prod(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the product along a given dimension
- prod(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the product along a given dimension
- Prod - Class in org.nd4j.linalg.api.ops.impl.accum
-
Prod the components
- Prod() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Prod
-
- Prod(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Prod
-
- Prod(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Prod
-
- Prod(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Prod
-
- Prod(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Prod
-
- prod(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- prod(IComplexNDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- prod(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- prod(IComplexNDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- prodComplex() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- prodComplex() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- prodComplex() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- prodNumber() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- prodNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- prodNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Calculate the product of all values in the array
- profilingHookIn(Op, DataBuffer...) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- profilingHookIn(Op) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- profilingHookOut(Op, long) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- profilingMode - Variable in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- props - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- pullRows(INDArray, int, int[], char) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
This method produces concatenated array, that consist from tensors, fetched from source array, against some dimension and specified indexes
- pullRows(INDArray, int, int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
This method produces concatenated array, that consist from tensors, fetched from source array, against some dimension and specified indexes
- pullRows(INDArray, int, int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method produces concatenated array, that consist from tensors, fetched from source array, against some dimension and specified indexes
- pullRows(INDArray, int, int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method produces concatenated array,
that consist from tensors,
fetched from source array,
against some dimension and specified indexes
- pullRows(INDArray, int, int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
This method produces concatenated array, that consist from tensors, fetched from source array, against some dimension and specified indexes
- pullRows(INDArray, int, int[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
This method produces concatenated array, that consist from tensors, fetched from source array, against some dimension and specified indexes
- purge() - Method in class org.nd4j.linalg.memory.stash.BasicStash
-
- purge() - Method in interface org.nd4j.linalg.memory.stash.Stash
-
- purgeBuffers() - Method in interface org.nd4j.linalg.cache.TADManager
-
This method removes all cached shape buffers
- purgeCache() - Method in interface org.nd4j.linalg.api.ndarray.ShapeInfoProvider
-
This method forces cache purge, if cache is available for specific implementation
- purgeCaches() - Method in class org.nd4j.linalg.memory.BasicMemoryManager
-
This method purges all cached memory chunks
- purgeCaches() - Method in interface org.nd4j.linalg.memory.MemoryManager
-
This method purges all cached memory chunks
- purgeConstants() - Method in interface org.nd4j.linalg.cache.ConstantHandler
-
This method removes all cached constants
- push() - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- push() - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
This method ensures all operations that supposed to be executed at this moment, are executed.
- put(INDArrayIndex[], INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- put(int, int, Number) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Inserts the element at the specified index
- put(int[], double) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- put(int, int, IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- put(int, IComplexNDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Inserts the element at the specified index
- put(int[], INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Inserts the element at the specified index
- put(int, int, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Inserts the element at the specified index
- put(INDArrayIndex[], IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- put(INDArrayIndex[], IComplexNDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- put(INDArrayIndex[], Number) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- put(int, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Inserts the element at the specified index
- put(int, IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- put(int[], float) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- put(INDArrayIndex[], IComplexNumber) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- put(INDArrayIndex[], IComplexNDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- put(INDArrayIndex[], Number) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- put(int, int, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Inserts the element at the specified index
- put(int[], INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Inserts the element at the specified index
- put(int, IComplexNDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Put a scalar ndarray at the specified index
- put(int, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Inserts the element at the specified index
- put(int[], float) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- put(int[], double) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- put(int, int, IComplexNumber) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- put(int[], INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Inserts the element at the specified index
- put(int, int, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Inserts the element at the specified index
- put(int, int, Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Inserts the element at the specified index
- put(INDArrayIndex[], INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- put(INDArrayIndex[], Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- put(int, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Inserts the element at the specified index
- put(INDArrayIndex[], INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Put the elements of the ndarray
in to the specified indices
- put(INDArrayIndex[], Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Put the elements of the ndarray
in to the specified indices
- put(int[], INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Inserts the element at the specified index
- put(int, int, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Inserts the element at the specified index
- put(int, int, Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Inserts the element at the specified index
- put(int, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Inserts the element at the specified index
- put(String, DataSet) - Method in interface org.nd4j.linalg.dataset.api.iterator.cache.DataSetCache
-
- put(String, DataSet) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InFileAndMemoryDataSetCache
-
- put(String, DataSet) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InFileDataSetCache
-
- put(String, DataSet) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InMemoryDataSetCache
-
- put(T, INDArray) - Method in class org.nd4j.linalg.memory.stash.BasicStash
-
- put(T, INDArray) - Method in interface org.nd4j.linalg.memory.stash.Stash
-
- putColumn(int, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Insert a column in to this array
Will throw an exception if this
ndarray is not a matrix
- putColumn(int, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Insert a column in to this array
Will throw an exception if this
ndarray is not a matrix
- putColumn(int, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Insert a column in to this array
Will throw an exception if this
ndarray is not a matrix
- putColumn(int, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Insert a column in to this array
Will throw an exception if this
ndarray is not a matrix
- putiColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- putiColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
In place assignment of a column vector
- putImag(int, int, double) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- putImag(int, float) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- putImag(int[], float) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- putImag(int[], double) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- putImag(int, int, float) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- putImag(int[], float) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- putImag(int[], double) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- putImag(int, int, float) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- putImag(int, int, double) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- putImag(int, float) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- putiRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- putiRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
in place assignment of row vector, to each row of this array
- putReal(int, int, double) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- putReal(int, float) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- putReal(int, int, float) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- putReal(int[], float) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- putReal(int[], double) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- putReal(int[], float) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- putReal(int[], double) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- putReal(int, int, float) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- putReal(int, int, double) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- putReal(int, float) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- putRow(int, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Insert a row in to this array
Will throw an exception if this
ndarray is not a matrix
- putRow(int, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Insert a row in to this array
Will throw an exception if this
ndarray is not a matrix
- putRow(int, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Insert a row in to this array
Will throw an exception if this
ndarray is not a matrix
- putRow(int, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Insert a row in to this array
Will throw an exception if this
ndarray is not a matrix
- putScalar(int, int, IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- putScalar(int, IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- putScalar(int, double) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- putScalar(int[], double) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- putScalar(int[], IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- putScalar(int, IComplexNumber) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- putScalar(int, double) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- putScalar(int[], IComplexNumber) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- putScalar(int, int, IComplexNumber) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- putScalar(int, double) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- putScalar(int, float) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- putScalar(int, int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- putScalar(int[], double) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- putScalar(int, int, double) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- putScalar(int, int, int, double) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- putScalar(int, int, int, int, double) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- putScalar(int[], float) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- putScalar(int[], int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- putScalar(int, double) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Insert the number linearly in to the ndarray
- putScalar(int, float) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Insert a scalar float at the specified index
- putScalar(int, int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Insert a scalar int at the specified index
- putScalar(int[], double) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Insert the item at the specified indices
- putScalar(int, int, double) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- putScalar(int, int, int, double) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- putScalar(int, int, int, int, double) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- putScalar(int[], float) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Put the specified float value at the specified indices in this array
- putScalar(int[], int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Put the specified integer value at the specified indices in this array
- putScalarUnsafe(long, double) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- putScalarUnsafe(long, double) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Insert a scalar
at the given linear offset
- putSlice(int, IComplexNDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Assigns the given matrix (put) to the specified slice
- putSlice(int, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Assigns the given matrix (put) to the specified slice
- putSlice(int, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Assigns the given matrix (put) to the specified slice
- putSlice(int, IComplexNDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- putSlice(int, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Assigns the given matrix (put) to the specified slice
- putSlice(int, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Assigns the given matrix (put) to the specified slice
- putTime(String, Op, long) - Method in class org.nd4j.linalg.profiler.data.StringAggregator
-
- putTime(String, long) - Method in class org.nd4j.linalg.profiler.data.StringAggregator
-
- rand(int[], double, double, Random) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- rand(int, int, double, double, Random) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- rand(int[], float, float, Random) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Generates a random matrix between min and max
- rand(int, int, float, float, Random) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Generates a random matrix between min and max
- rand(int, int, Random) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a random ndarray with the given shape using the given rng
- rand(int, int, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a random ndarray with the given shape using the given rng
- rand(int, int) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a random ndarray with the given shape using
the current time as the seed
- rand(char, int, int) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a random (uniform 0-1) NDArray with the specified shape and order
- rand(int[], Distribution) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a random ndarray with the given shape using the given rng
- rand(int[], Random) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a random ndarray with the given shape using the given rng
- rand(int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a random ndarray with the given shape using the given rng
- rand(int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a random ndarray with the given shape using
the current time as the seed
- rand(char, int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a random ndarray with the given shape and order
- rand(int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a random ndarray with the given shape using
the current time as the seed
- rand(char, int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a random ndarray with the given shape and array order
- rand(int, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a random ndarray with the given shape using
the current time as the seed
- rand(char, int, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a random ndarray with the given shape and output order
- rand(int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a random ndarray with the given shape using given seed
- rand(long, int...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a random ndarray with the given shape using the given seed
- rand(int, int, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a random ndarray with the given shape using the given seed
- rand(int[], Random) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a random ndarray with the given shape using the given RandomGenerator
- rand(int[], Distribution) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a random ndarray with the given shape using the given rng
- rand(int, int, Random) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a random ndarray with the given shape using the given rng
- rand(int[], double, double, Random) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Generates a random matrix between min and max
- rand(int, int, double, double, Random) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Generates a random matrix between min and max
- rand(int[], float, float, Random) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Generates a random matrix between min and max
- rand(int, int, float, float, Random) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Generates a random matrix between min and max
- rand(int, int, Random) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a random ndarray with the given shape using the given rng
- rand(int, int, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a random ndarray with the given shape using the given rng
- rand(int, int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a random ndarray with the given shape using
the current time as the seed
- rand(char, int, int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a random (uniform 0-1) NDArray with the specified shape and order
- rand(int[], Distribution) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a random ndarray with the given shape using the given rng
- rand(int[], Random) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a random ndarray with the given shape using the given rng
- rand(int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a random ndarray with the given shape using the given rng
- rand(int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a random ndarray with the given shape using
the current time as the seed
- rand(char, int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a random ndarray with the given shape, and specified output order
- rand(int, int, double, double, Random) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- rand(int[], double, double, Random) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- randn(int, int, Random) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Random normal using the given rng
- randn(int, int) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Random normal using the current time stamp
as the seed
- randn(char, int, int) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Generate a random normal N(0,1) with the specified order and shape
- randn(int, int, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Random normal using the specified seed
- randn(int[], Random) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Random normal using the given rng
- randn(char, int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Random normal using the current time stamp
as the seed
- randn(int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Random normal N(0,1) with the specified shape and
- randn(int[], long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Random normal using the specified seed
- randn(int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Random normal using the current time stamp
as the seed
- randn(char, int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Random normal N(0,1) with the specified shape and array order
- randn(int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Random normal using the specified seed
- randn(int, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Random normal using the current time stamp
as the seed
- randn(char, int, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Random normal N(0,1) with the specified shape and array order
- randn(int, int, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Random normal using the specified seed
- randn(int, int, Random) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Random normal using the given rng
- randn(int[], Random) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Random normal using the given rng
- randn(int, int, Random) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Random normal using the given rng
- randn(int, int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Random normal (N(0,1)) using the current time stamp
as the seed
- randn(char, int, int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Random normal N(0,1), with specified output order
- randn(int, int, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Random normal using the specified seed
- randn(int[], Random) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Random normal using the given rng
- randn(int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Random normal N(0,1) using the current time stamp
as the seed
- randn(char, int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Random normal N(0,1) with the specified shape and order
- randn(int[], long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Random normal using the specified seed
- random - Variable in class org.nd4j.linalg.api.rng.distribution.BaseDistribution
-
- Random - Interface in org.nd4j.linalg.api.rng
-
Random generation based on commons math.
- RANDOM_PROVIDER - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- randomClazz - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- randomFactory - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- RandomFactory - Class in org.nd4j.linalg.factory
-
This class acts as factory for new Random objects and thread-isolated holder for previously created Random instances
- RandomFactory(Class) - Constructor for class org.nd4j.linalg.factory.RandomFactory
-
- randomGenerator - Variable in class org.nd4j.linalg.api.rng.DefaultRandom
-
- RandomOp - Interface in org.nd4j.linalg.api.ops
-
- rangeOfLength(INDArrayIndex[]) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
-
Create a range based on the given indexes.
- rank() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- rank() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the rank of the ndarray (the number of dimensions).
- rank(DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Gets the rank given the shape info buffer
- rank(IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Gets the rank given the shape info buffer
- rank(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- RationalTanh - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Rational Tanh Approximation elementwise function, as described at https://github.com/deeplearning4j/libnd4j/issues/351
- RationalTanh() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RationalTanh
-
- RationalTanh(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RationalTanh
-
- RationalTanh(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RationalTanh
-
- RationalTanh(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RationalTanh
-
- RationalTanh(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RationalTanh
-
- RationalTanh(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RationalTanh
-
- RationalTanhDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Rational Tanh Derivative, as described at as described at https://github.com/deeplearning4j/libnd4j/issues/351
- RationalTanhDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RationalTanhDerivative
-
- RationalTanhDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RationalTanhDerivative
-
- RationalTanhDerivative(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RationalTanhDerivative
-
- RationalTanhDerivative(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RationalTanhDerivative
-
- RationalTanhDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RationalTanhDerivative
-
- ravel() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Flattens the array for linear indexing
- ravel() - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Returns a flattened version (row vector) of this ndarray
- ravel(char) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Flattens the array for linear indexing
- ravel() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Flattens the array for linear indexing
- ravel() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns a flattened version (row vector) of this ndarray
- ravel(char) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns a flattened version (row vector) of this ndarray
- RawArrayIterationInformation1 - Class in org.nd4j.linalg.api.shape.loop.one
-
Raw array iteration information
Used in preparing
for linear array raw
iteration
- RawArrayIterationInformation1() - Constructor for class org.nd4j.linalg.api.shape.loop.one.RawArrayIterationInformation1
-
- RawArrayIterationInformation2 - Class in org.nd4j.linalg.api.shape.loop.two
-
Raw array iteration information
Used in preparing
for linear array raw
iteration
- RawArrayIterationInformation2() - Constructor for class org.nd4j.linalg.api.shape.loop.two.RawArrayIterationInformation2
-
- RawArrayIterationInformation3 - Class in org.nd4j.linalg.api.shape.loop.three
-
Raw array iteration information
Used in preparing
for linear array raw
iteration
- RawArrayIterationInformation3() - Constructor for class org.nd4j.linalg.api.shape.loop.three.RawArrayIterationInformation3
-
- RawArrayIterationInformation4 - Class in org.nd4j.linalg.api.shape.loop.four
-
Raw array iteration information
Used in preparing
for linear array raw
iteration
- RawArrayIterationInformation4() - Constructor for class org.nd4j.linalg.api.shape.loop.four.RawArrayIterationInformation4
-
- rawfft(IComplexNDArray, int, int) - Method in class org.nd4j.linalg.fft.DefaultFFTInstance
-
Underlying fft algorithm
- rawfft(IComplexNDArray, int, int) - Static method in class org.nd4j.linalg.fft.FFT
-
Underlying fft algorithm
- rawfft(IComplexNDArray, int, int) - Method in interface org.nd4j.linalg.fft.FFTInstance
-
Underlying fft algorithm
- rawfftn(IComplexNDArray, int[], int[]) - Method in class org.nd4j.linalg.fft.BaseFFTInstance
-
- rawfftn(IComplexNDArray, int[], int[]) - Static method in class org.nd4j.linalg.fft.FFT
-
- rawfftn(IComplexNDArray, int[], int[]) - Method in interface org.nd4j.linalg.fft.FFTInstance
-
- rawifft(IComplexNDArray, int) - Method in class org.nd4j.linalg.fft.BaseFFTInstance
-
- rawifft(IComplexNDArray, int, int) - Method in class org.nd4j.linalg.fft.DefaultFFTInstance
-
- rawifft(IComplexNDArray, int, int) - Static method in class org.nd4j.linalg.fft.FFT
-
- rawifft(IComplexNDArray, int) - Static method in class org.nd4j.linalg.fft.FFT
-
- rawifft(IComplexNDArray, int, int) - Method in interface org.nd4j.linalg.fft.FFTInstance
-
Underlying ifft impl
- rawifft(IComplexNDArray, int) - Method in interface org.nd4j.linalg.fft.FFTInstance
-
Underlying ifft impl
- rawifftn(IComplexNDArray, int[], int[]) - Method in class org.nd4j.linalg.fft.BaseFFTInstance
-
- rawifftn(IComplexNDArray, int[], int[]) - Static method in class org.nd4j.linalg.fft.FFT
-
- rawifftn(IComplexNDArray, int[], int[]) - Method in interface org.nd4j.linalg.fft.FFTInstance
-
- rdiv(Number, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- rdiv(Number) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- rdiv(IComplexNumber, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- rdiv(IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- rdiv(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Reverse division
- rdiv(INDArray, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Reverse division
- rdiv(IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- rdiv(IComplexNumber, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- rdiv(IComplexNumber) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- rdiv(Number, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- rdiv(Number) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- rdiv(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Reverse division
- rdiv(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Reverse division
- rdiv(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- rdiv(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Reverse division
- rdiv(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Reverse division
- rdiv(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- rdiv(IComplexNumber) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- rdiv(IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- rdiv(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Reverse division with a scalar - i.e., (n / thisArrayValues)
- rdiv(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Reverse division (number / ndarray)
- rdiv(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Reverse division, elements wise.
- rdiv(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Reverse division
- rdiv(IComplexNumber) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- rdiv(IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- rdivColumnVector(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- rdivColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- rdivColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- rdivColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Reverse division of a column vector (copy)
- rdivi(Number, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- rdivi(Number) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- rdivi(IComplexNumber, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- rdivi(IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- rdivi(IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- rdivi(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Reverse divsion (in place)
- rdivi(INDArray, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Reverse division (in-place)
- rdivi(IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- rdivi(IComplexNumber, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- rdivi(IComplexNumber) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- rdivi(Number, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- rdivi(Number) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- rdivi(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Reverse divsion (in place)
- rdivi(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Reverse division (in-place)
- rdivi(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- rdivi(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Reverse divsion (in place)
- rdivi(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Reverse division (in-place)
- rdivi(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- rdivi(IComplexNumber) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- rdivi(IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- rdivi(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
In place reverse division - i.e., (n / thisArrayValues)
- rdivi(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Reverse in place division
- rdivi(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Reverse divsion (in place).
- rdivi(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Reverse division (in-place)
- rdivi(IComplexNumber) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- rdivi(IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- rdiviColumnVector(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- rdiviColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- rdiviColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- rdiviColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
In place reverse divison of a column vector
- rdiviRowVector(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- rdiviRowVector(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- rdiviRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- rdiviRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
In place reverse division of a column vector
- RDivOp - Class in org.nd4j.linalg.api.ops.impl.transforms.arithmetic
-
Division operation
- RDivOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RDivOp
-
- RDivOp(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RDivOp
-
- RDivOp(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RDivOp
-
- RDivOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RDivOp
-
- RDivOp(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RDivOp
-
- RDivOp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RDivOp
-
- rdivRowVector(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- rdivRowVector(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- rdivRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- rdivRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Reverse division of a column vector (copy)
- read(ObjectInputStream) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- read(ObjectInputStream) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArrayProxy
-
- read(File) - Method in class org.nd4j.linalg.api.ndarray.NdArrayJSONReader
-
- read(InputStream) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Raad an ndarray from an input stream
- read(DataInputStream) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Read in an ndarray from a data input stream
- readBinary(File) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Read a binary ndarray from the given file
- readComplex(DataInputStream) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Read in an ndarray from a data input stream
- readFromDisk(File) - Static method in class org.nd4j.serde.binary.BinarySerde
-
Read an ndarray from disk
- readNumpy(InputStream, String) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Read line via input streams
- readNumpy(String, String) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Read line via input streams
- readNumpy(String) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Read line via input streams
- readShapeFromDisk(File) - Static method in class org.nd4j.serde.binary.BinarySerde
-
This method returns shape databuffer from saved earlier file
- readTxt(String, String) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Read line via input streams
- readTxt(String) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Read from a file
- readTxtString(InputStream, String) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Read line via input streams
- readTxtString(InputStream) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Read from a file
- readUnknown(DataInputStream, long) - Static method in class org.nd4j.linalg.compression.CompressedDataBuffer
-
Drop-in replacement wrapper for BaseDataBuffer.read() method, aware of CompressedDataBuffer
- real() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Get realComponent part of the matrix.
- real() - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Return all the real components in this ndarray
- realArguments - Variable in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate
-
- RectifedLinear - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Rectified linear units
- RectifedLinear() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RectifedLinear
-
- RectifedLinear(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RectifedLinear
-
- RectifedLinear(INDArray, INDArray, long, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RectifedLinear
-
- RectifedLinear(INDArray, INDArray, INDArray, long, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RectifedLinear
-
- RectifedLinear(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RectifedLinear
-
- RectifedLinear(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RectifedLinear
-
- RectifedLinear(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RectifedLinear
-
- RectifedLinear(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RectifedLinear
-
- RectifedLinear(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RectifedLinear
-
- RectifedLinear(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RectifedLinear
-
- RectifiedTanh - Class in org.nd4j.linalg.api.ops.impl.transforms
-
RectifiedTanh
Essentially max(0, tanh(x))
- RectifiedTanh() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RectifiedTanh
-
- RectifiedTanh(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RectifiedTanh
-
- RectifiedTanh(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RectifiedTanh
-
- RectifiedTanh(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RectifiedTanh
-
- RectifiedTanh(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RectifiedTanh
-
- RectifiedTanh(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RectifiedTanh
-
- RectifiedTanhDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Rectified Tanh Derivative
- RectifiedTanhDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RectifiedTanhDerivative
-
- RectifiedTanhDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RectifiedTanhDerivative
-
- RectifiedTanhDerivative(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RectifiedTanhDerivative
-
- RectifiedTanhDerivative(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RectifiedTanhDerivative
-
- RectifiedTanhDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.RectifiedTanhDerivative
-
- reducedBasis(double) - Method in class org.nd4j.linalg.dimensionalityreduction.PCA
-
Return a reduced basis set that covers a certain fraction of the variance of the data
- ReduceMetaOp - Class in org.nd4j.linalg.api.ops.impl.meta
-
This is special case PredicateOp, with opB being only either Accumulation, Variance or Reduce3 op
- ReduceMetaOp() - Constructor for class org.nd4j.linalg.api.ops.impl.meta.ReduceMetaOp
-
- ReduceMetaOp(ScalarOp, Accumulation, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.ReduceMetaOp
-
- ReduceMetaOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.ReduceMetaOp
-
- ReduceMetaOp(ScalarOp, Accumulation) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.ReduceMetaOp
-
- ReduceMetaOp(OpDescriptor, OpDescriptor) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.ReduceMetaOp
-
- reductionIndexForLinear(int, int, int, int, int) - Static method in class org.nd4j.linalg.api.ops.TadCollapseAccumulation
-
Maps a linear index to a reduction index
- reductionIndexForTad(int, int, int) - Static method in class org.nd4j.linalg.api.ops.TadCollapseAccumulation
-
Map a tad to a
reduction index.
- referenceQueue - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- references - Variable in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
-
- refQueue() - Static method in class org.nd4j.linalg.factory.Nd4j
-
The reference queue used for cleaning up
ndarrays
- release(Pointer, MemoryKind) - Method in interface org.nd4j.linalg.memory.MemoryManager
-
This method releases previously allocated memory chunk
- relocateConstantSpace(DataBuffer) - Method in class org.nd4j.linalg.cache.BasicConstantHandler
-
- relocateConstantSpace(DataBuffer) - Method in interface org.nd4j.linalg.cache.ConstantHandler
-
PLEASE NOTE: This method implementation is hardware-dependant.
- relu(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- relu(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- remainder(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- remainder(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- remainder(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- remainder(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- remainder(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Remainder operator
- remainder(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Remainder operator
- remainder(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
The scalar denominator
- remainder(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- remainderi(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- remainderi(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- remainderi(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
In place remainder
- remainderi(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
In place remainder
- RemainderOp - Class in org.nd4j.linalg.api.ops.impl.transforms.arithmetic
-
Floating-point remainder operation
- RemainderOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RemainderOp
-
- RemainderOp(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RemainderOp
-
- RemainderOp(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RemainderOp
-
- RemainderOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RemainderOp
-
- RemainderOp(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RemainderOp
-
- RemainderOp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RemainderOp
-
- remove() - Method in class org.nd4j.linalg.api.iter.FirstAxisIterator
-
- remove() - Method in class org.nd4j.linalg.api.iter.FlatIterator
-
- remove() - Method in class org.nd4j.linalg.api.iter.INDArrayIterator
-
- remove() - Method in class org.nd4j.linalg.api.iter.NdIndexIterator
-
- remove() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator
-
- remove() - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator
-
- remove() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator
-
- remove() - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator
-
Deprecated.
Removes from the underlying collection the last element returned
by this iterator (optional operation).
- remove() - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator
-
- remove() - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator
-
- remove() - Method in class org.nd4j.linalg.dataset.api.iterator.TestMultiDataSetIterator
-
- remove() - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator
-
- remove() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
-
- remove() - Method in class org.nd4j.linalg.dataset.ViewIterator
-
- renderTree(boolean) - Method in class org.nd4j.linalg.profiler.data.primitives.StackTree
-
- renderTree() - Method in class org.nd4j.linalg.profiler.data.StackAggregator
-
- renderTree(boolean) - Method in class org.nd4j.linalg.profiler.data.StackAggregator
-
- repeat(int, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- repeat(int, int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Repeat elements along a specified dimension.
- repeat(IComplexNDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an n x (shape)
ndarray where the ndarray is repeated num times
- repeat(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create an n x (shape)
ndarray where the ndarray is repeated num times
- ReplaceNans - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Element-wise "Replace NaN" implementation as Op
- ReplaceNans() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ReplaceNans
-
- ReplaceNans(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ReplaceNans
-
- ReplaceNans(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ReplaceNans
-
- ReplaceNans(INDArray, INDArray, double, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ReplaceNans
-
- replaceWhere(INDArray, Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Replaces all elements in this ndarray that are matching give condition, with corresponding elements from given array
- replaceWhere(INDArray, Condition) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Replaces all elements in this ndarray that are matching give condition, with corresponding elements from given array
- replaceWhere(INDArray, INDArray, Condition) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing
-
This method does element-wise assing for 2 equal-sized matrices, for each element that matches Condition
- replaceWhere(INDArray, Number, Condition) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing
-
This method does element-wise assing for 2 equal-sized matrices, for each element that matches Condition
- replicateToDevice(Integer, INDArray) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager
-
This method replicates given INDArray, and places it to target device.
- replicateToDevice(Integer, DataBuffer) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager
-
This method replicates given DataBuffer, and places it to target device.
- replicateToDevice(Integer, INDArray) - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager
-
This method replicates given INDArray, and places it to target device.
- replicateToDevice(Integer, DataBuffer) - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager
-
This method replicates given DataBuffer, and places it to target device.
- repmat(int[]) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Replicate and tile array to fill out to the given shape
- repmat(int...) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Replicate and tile array to fill out to the given shape
- repmat(int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Replicate and tile array to fill out to the given shape
See:
https://github.com/numpy/numpy/blob/master/numpy/matlib.py#L310-L358
- repmat(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Replicate and tile array to fill out to the given shape
- reportEvent(Event, Environment, Task) - Method in class org.nd4j.linalg.heartbeat.Heartbeat
-
- reSeed() - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
Identical to setSeed(System.currentTimeMillis());
- reSeed(long) - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
Identical to setSeed(seed);
- reSeed() - Method in interface org.nd4j.linalg.api.rng.Random
-
This method is similar to setSeed() but it doesn't really touches underlying buffer, if any.
- reSeed(long) - Method in interface org.nd4j.linalg.api.rng.Random
-
This method is similar to setSeed() but it doesn't really touches underlying buffer, if any.
- reseedRandomGenerator(long) - Method in class org.nd4j.linalg.api.rng.distribution.BaseDistribution
-
Reseed the random generator used to generate samples.
- reseedRandomGenerator(long) - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
-
Reseed the random generator used to generate samples.
- reset() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator
-
- reset() - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator
-
- reset() - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator
-
Resets the iterator back to the beginning
- reset() - Method in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher
-
- reset() - Method in interface org.nd4j.linalg.dataset.api.iterator.fetcher.DataSetFetcher
-
Returns the fetcher back to the beginning of the dataset
- reset() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator
-
Shuffles the dataset and resets to the first fold
- reset() - Method in interface org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator
-
Resets the iterator back to the beginning
- reset() - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator
-
Deprecated.
Resets the iterator back to the beginning
- reset() - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator
-
- reset() - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator
-
- reset() - Method in class org.nd4j.linalg.dataset.api.iterator.TestMultiDataSetIterator
-
- reset() - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator
-
- reset() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
-
- reset() - Method in class org.nd4j.linalg.dataset.ViewIterator
-
- reset() - Method in interface org.nd4j.linalg.indexing.INDArrayIndex
-
- reset() - Method in class org.nd4j.linalg.indexing.IntervalIndex
-
- reset() - Method in class org.nd4j.linalg.indexing.NDArrayIndex
-
- reset() - Method in class org.nd4j.linalg.indexing.NDArrayIndexEmpty
-
- reset() - Method in class org.nd4j.linalg.indexing.NewAxis
-
- reset() - Method in class org.nd4j.linalg.indexing.PointIndex
-
- reset() - Method in class org.nd4j.linalg.indexing.SpecifiedIndex
-
- reset() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method reset host/device offsets within workspace
PLEASE NOTE: Never call this method unless you realize all consequences
- reset() - Method in class org.nd4j.linalg.profiler.data.primitives.StackTree
-
- reset() - Method in class org.nd4j.linalg.profiler.data.StackAggregator
-
- reset() - Method in class org.nd4j.linalg.profiler.data.StringAggregator
-
- reset() - Method in class org.nd4j.linalg.profiler.data.StringCounter
-
- reset() - Method in class org.nd4j.linalg.profiler.OpProfiler
-
This method resets all counters
- resetLinearView() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- resetLinearView() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- resetLinearView() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Resets the linear view
- resetPlanned - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- resetSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator
-
- resetSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator
-
- resetSupported() - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator
-
Is resetting supported by this DataSetIterator? Many DataSetIterators do support resetting,
but some don't
- resetSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator
-
- resetSupported() - Method in interface org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator
-
Is resetting supported by this DataSetIterator? Many DataSetIterators do support resetting,
but some don't
- resetSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator
-
Deprecated.
- resetSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator
-
- resetSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator
-
- resetSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.TestMultiDataSetIterator
-
- resetSupported() - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator
-
- resetSupported() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
-
- resetSupported() - Method in class org.nd4j.linalg.dataset.ViewIterator
-
- resetWorkspace() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- reshape(int...) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Reshape the ndarray in to the specified dimensions,
possible errors being thrown for invalid shapes
- reshape(char, int...) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- reshape(char, int, int) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- reshape(int, int) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Reshape the matrix.
- reshape(int, int) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Reshapes the ndarray (can't change the length of the ndarray)
- reshape(char, int...) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- reshape(char, int, int) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- reshape(int...) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Reshapes the ndarray (can't change the length of the ndarray)
- reshape(char, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- reshape(char, int, int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- reshape(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Reshape the ndarray in to the specified dimensions,
possible errors being thrown for invalid shapes
Note here that one dimension can be -1.
- reshape(int, int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Reshape the matrix.
- reshape(char, int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Reshapes the ndarray (can't change the length of the ndarray).
- reshape(char, int, int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Reshapes the ndarray (can't change the length of the ndarray).
- reshape(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Reshapes the ndarray (can't change the length of the ndarray).
- reshape(int, int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Reshapes the ndarray (can't change the length of the ndarray).
- Reshape - Class in org.nd4j.linalg.api.ops.impl.shape
-
Transpose function
- Reshape() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Reshape
-
- Reshape(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Reshape
-
- Reshape(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Reshape
-
- Reshape(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Reshape
-
- Reshape(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Reshape
-
- reshape(int, int) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- reshape(int, int) - Method in class org.nd4j.linalg.dataset.DataSet
-
Reshapes the input in to the given rows and columns
- resolve(INDArray, INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
-
Given an all index and
the intended indexes, return an
index array containing a combination of all elements
for slicing and overriding particular indexes where necessary
- resolve(DataBuffer, INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
-
Given an all index and
the intended indexes, return an
index array containing a combination of all elements
for slicing and overriding particular indexes where necessary
- resolve(int[], INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
-
Given an all index and
the intended indexes, return an
index array containing a combination of all elements
for slicing and overriding particular indexes where necessary
- resolve(INDArrayIndex[], INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
-
Given an all index and
the intended indexes, return an
index array containing a combination of all elements
for slicing and overriding particular indexes where necessary
- resolveNegativeShapeIfNeccessary(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- RESOURCE_MANGER_ON - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- resourceManagerOn - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- restore(InputStream) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.MinMaxSerializerStrategy
-
- restore(InputStream) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.MultiHybridSerializerStrategy
-
Restore a MultiNormalizerHybrid that was previously serialized by this strategy
- restore(InputStream) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.MultiMinMaxSerializerStrategy
-
Restore a MultiNormalizerMinMaxScaler that was previously serialized by this strategy
- restore(InputStream) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.MultiStandardizeSerializerStrategy
-
Restore a MultiNormalizerStandardize that was previously serialized by this strategy
- restore(String) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerSerializer
-
Restore a normalizer from the given path
- restore(File) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerSerializer
-
Restore a normalizer from the given file
- restore(InputStream) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerSerializer
-
Restore a normalizer from an input stream
- restore(InputStream) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerSerializerStrategy
-
Restore a normalizer that was previously serialized by this strategy
- restore(InputStream) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.StandardizeSerializerStrategy
-
- Reverse - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Soft max function
row_maxes is a row vector (max for each row)
row_maxes = rowmaxes(input)
diff = exp(input - max) / diff.rowSums()
Outputs a probability distribution.
- Reverse() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Reverse
-
- Reverse(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Reverse
-
- Reverse(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Reverse
-
- Reverse(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Reverse
-
- Reverse(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Reverse
-
- Reverse(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Reverse
-
- reverse(INDArray) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Reverses the passed in matrix such that m[0] becomes m[m.length - 1] etc
- reverse(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Reverses the passed in matrix such that m[0] becomes m[m.length - 1] etc
- reverse(INDArray) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Reverses the passed in matrix such that m[0] becomes m[m.length - 1] etc
- reverse() - Method in interface org.nd4j.linalg.indexing.INDArrayIndex
-
Reverse the indexes
- reverse() - Method in class org.nd4j.linalg.indexing.IntervalIndex
-
- reverse() - Method in class org.nd4j.linalg.indexing.NDArrayIndex
-
- reverse() - Method in class org.nd4j.linalg.indexing.NDArrayIndexEmpty
-
- reverse() - Method in class org.nd4j.linalg.indexing.NewAxis
-
- reverse() - Method in class org.nd4j.linalg.indexing.PointIndex
-
- reverse() - Method in class org.nd4j.linalg.indexing.SpecifiedIndex
-
- reverse(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- revert(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer
-
Revert the data to what it was before transform
- revert(MultiDataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer
-
Revert the data to what it was before transform
- revert(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler
-
- revert(INDArray, INDArray, MinMaxStats) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MinMaxStrategy
-
Denormalize a data array
- revert(MultiDataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
Undo (revert) the normalization applied by this DataNormalization instance (arrays are modified in-place)
- revert(T) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.Normalizer
-
Undo (revert) the normalization applied by this DataNormalization instance (arrays are modified in-place)
- revert(INDArray, INDArray, S) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.NormalizerStrategy
-
Denormalize a data array
- revert(INDArray, INDArray, DistributionStats) - Method in class org.nd4j.linalg.dataset.api.preprocessor.StandardizeStrategy
-
Denormalize a data array
- revert(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.VGG16ImagePreProcessor
-
- revertFeatures(INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer
-
- revertFeatures(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer
-
- revertFeatures(INDArray[]) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer
-
Undo (revert) the normalization applied by this normalizer to the features arrays
- revertFeatures(INDArray[], INDArray[]) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer
-
Undo (revert) the normalization applied by this normalizer to the features arrays
- revertFeatures(INDArray, INDArray, int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer
-
Undo (revert) the normalization applied by this normalizer to a specific features array.
- revertFeatures(INDArray) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.DataNormalization
-
Undo (revert) the normalization applied by this DataNormalization instance to the specified features array
- revertFeatures(INDArray, INDArray) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.DataNormalization
-
Undo (revert) the normalization applied by this DataNormalization instance to the specified features array
- revertFeatures(INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler
-
- revertFeatures(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler
-
- revertFeatures(INDArray[], INDArray[]) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.MultiDataNormalization
-
Undo (revert) the normalization applied by this DataNormalization instance to the specified features array
- revertFeatures(INDArray[]) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.MultiDataNormalization
-
Undo (revert) the normalization applied by this DataNormalization instance to the specified features array
- revertFeatures(INDArray[]) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
Undo (revert) the normalization applied by this DataNormalization instance to the entire inputs array
- revertFeatures(INDArray[], INDArray[]) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
Undo (revert) the normalization applied by this DataNormalization instance to the entire inputs array
- revertFeatures(INDArray[], INDArray[], int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
Undo (revert) the normalization applied by this DataNormalization instance to the features of a particular input
- revertFeatures(INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.VGG16ImagePreProcessor
-
- revertFeatures(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.VGG16ImagePreProcessor
-
- revertLabels(INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer
-
Undo (revert) the normalization applied by this DataNormalization instance to the specified labels array.
- revertLabels(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer
-
- revertLabels(INDArray[]) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer
-
Undo (revert) the normalization applied by this DataNormalization instance to the specified labels array.
- revertLabels(INDArray[], INDArray[]) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer
-
Undo (revert) the normalization applied by this normalizer to the labels arrays.
- revertLabels(INDArray, INDArray, int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer
-
Undo (revert) the normalization applied by this normalizer to a specific labels array.
- revertLabels(INDArray) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.DataNormalization
-
Undo (revert) the normalization applied by this DataNormalization instance to the specified labels array.
- revertLabels(INDArray, INDArray) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.DataNormalization
-
Undo (revert) the normalization applied by this DataNormalization instance to the specified labels array.
- revertLabels(INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler
-
- revertLabels(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler
-
- revertLabels(INDArray[], INDArray[]) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.MultiDataNormalization
-
Undo (revert) the normalization applied by this DataNormalization instance to the specified labels array.
- revertLabels(INDArray[]) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.MultiDataNormalization
-
Undo (revert) the normalization applied by this DataNormalization instance to the specified labels array.
- revertLabels(INDArray[]) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
Undo (revert) the normalization applied by this DataNormalization instance to the entire outputs array
- revertLabels(INDArray[], INDArray[]) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
Undo (revert) the normalization applied by this DataNormalization instance to the entire outputs array
- revertLabels(INDArray[], INDArray[], int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
Undo (revert) the normalization applied by this DataNormalization instance to the labels of a particular output
- revertLabels(INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.VGG16ImagePreProcessor
-
- revertLabels(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.VGG16ImagePreProcessor
-
- RmsProp - Class in org.nd4j.linalg.learning.config
-
RMS Prop updates:
- RmsProp() - Constructor for class org.nd4j.linalg.learning.config.RmsProp
-
- RmsProp(double) - Constructor for class org.nd4j.linalg.learning.config.RmsProp
-
- RmsProp.Builder - Class in org.nd4j.linalg.learning.config
-
- RmsPropUpdater - Class in org.nd4j.linalg.learning
-
RMS Prop updates:
- RmsPropUpdater(RmsProp) - Constructor for class org.nd4j.linalg.learning.RmsPropUpdater
-
- rollAxis(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Roll the specified axis backwards,
until it lies in a given position.
- rollAxis(INDArray, int, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Roll the specified axis backwards,
until it lies in a given position.
- rot(int, INDArray, INDArray, double, double) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
performs rotation of points in the plane.
- rot(int, IComplexNDArray, IComplexNDArray, IComplexNumber, IComplexNumber) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
performs rotation of points in the plane.
- rot(int, INDArray, INDArray, double, double) - Method in interface org.nd4j.linalg.api.blas.Level1
-
performs rotation of points in the plane.
- rot(int, IComplexNDArray, IComplexNDArray, IComplexNumber, IComplexNumber) - Method in interface org.nd4j.linalg.api.blas.Level1
-
performs rotation of points in the plane.
- rot(INDArray) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Reverses the passed in matrix such that m[0] becomes m[m.length - 1] etc
- rot(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Reverses the passed in matrix such that m[0] becomes m[m.length - 1] etc
- rot(INDArray) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Reverses the passed in matrix such that m[0] becomes m[m.length - 1] etc
- rot90(INDArray) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Rotate a matrix 90 degrees
- rot90(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Rotate a matrix 90 degrees
- rot90(INDArray) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Rotate a matrix 90 degrees
- rotg(INDArray, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
computes parameters for a Givens rotation.
- rotg(INDArray, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level1
-
computes parameters for a Givens rotation.
- rotmg(INDArray, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
computes the modified parameters for a Givens rotation.
- rotmg(IComplexNDArray, IComplexNDArray, IComplexNDArray, IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
computes the modified parameters for a Givens rotation.
- rotmg(INDArray, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level1
-
computes the modified parameters for a Givens rotation.
- rotmg(IComplexNDArray, IComplexNDArray, IComplexNDArray, IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.blas.Level1
-
computes the modified parameters for a Givens rotation.
- Round - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Rounding function
- Round() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Round
-
- Round(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Round
-
- Round(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Round
-
- Round(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Round
-
- Round(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Round
-
- round(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Rounding function
- round(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Rounding function
- round(IComplexNumber) - Static method in class org.nd4j.linalg.util.ComplexUtil
-
- roundToTheNearest(int) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- roundToTheNearest(int) - Method in class org.nd4j.linalg.dataset.DataSet
-
- rowNumber(int, INDArray) - Static method in class org.nd4j.linalg.indexing.Indices
-
Compute the linear offset
for an index in an ndarray.
- rows() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the number of rows
in the array (only 2d) throws an exception when
called when not 2d
- rows() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the number of rows in this matrix (throws exception if not 2d)
- RowVectorDeserializer - Class in org.nd4j.linalg.lossfunctions.serde
-
Simple JSON deserializer for use in
ILossFunction loss function weight serialization.
- RowVectorDeserializer() - Constructor for class org.nd4j.linalg.lossfunctions.serde.RowVectorDeserializer
-
- RowVectorSerializer - Class in org.nd4j.linalg.lossfunctions.serde
-
Simple JSON serializer for use in
ILossFunction weight serialization.
- RowVectorSerializer() - Constructor for class org.nd4j.linalg.lossfunctions.serde.RowVectorSerializer
-
- rsub(Number, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- rsub(Number) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- rsub(IComplexNumber, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- rsub(IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- rsub(INDArray, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Reverse subtraction
- rsub(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- rsub(IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- rsub(IComplexNumber, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- rsub(IComplexNumber) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- rsub(Number, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- rsub(Number) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- rsub(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Reverse subtraction
- rsub(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- rsub(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- rsub(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Reverse subtraction
- rsub(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- rsub(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- rsub(IComplexNumber) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- rsub(IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- rsub(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Reverse subtraction with duplicates - i.e., (n - thisArrayValues)
- rsub(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Reverse subtraction
- rsub(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Reverse subtraction
- rsub(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Element-wise reverse subtraction (copy op).
- rsub(IComplexNumber) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- rsub(IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- rsubColumnVector(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- rsubColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- rsubColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- rsubColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Reverse subtraction of a column vector (copy)
- rsubi(Number, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- rsubi(Number) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- rsubi(IComplexNumber, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- rsubi(IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- rsubi(IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- rsubi(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- rsubi(INDArray, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Reverse subtraction (in-place)
- rsubi(IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- rsubi(IComplexNumber, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- rsubi(IComplexNumber) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- rsubi(Number, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- rsubi(Number) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- rsubi(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- rsubi(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Reverse subtraction (in-place)
- rsubi(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- rsubi(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- rsubi(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Reverse subtraction (in-place)
- rsubi(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- rsubi(IComplexNumber) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- rsubi(IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- rsubi(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Reverse subtraction in place - i.e., (n - thisArrayValues)
- rsubi(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Reverse in place subtraction
- rsubi(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Element-wise reverse subtraction (in the place op) - i.e., other - this
- rsubi(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Reverse subtraction (in-place)
- rsubi(IComplexNumber) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- rsubi(IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- rsubiColumnVector(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- rsubiColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- rsubiColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- rsubiColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
In place reverse subtraction of a column vector
- rsubiRowVector(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- rsubiRowVector(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- rsubiRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- rsubiRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
In place reverse subtraction of a row vector
- RSubOp - Class in org.nd4j.linalg.api.ops.impl.transforms.arithmetic
-
Subtraction operation
- RSubOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RSubOp
-
- RSubOp(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RSubOp
-
- RSubOp(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RSubOp
-
- RSubOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RSubOp
-
- RSubOp(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RSubOp
-
- RSubOp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RSubOp
-
- rsubRowVector(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- rsubRowVector(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- rsubRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- rsubRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Reverse subtraction of a row vector (copy)
- run() - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager.WorkspaceDeallocatorThread
-
- SaddlePointExpansion - Class in org.nd4j.linalg.api.rng.distribution.impl
-
Utility class used by various distributions to accurately compute their
respective probability mass functions.
- SAFETY_OFFSET - Static variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- sample() - Method in class org.nd4j.linalg.api.rng.distribution.BaseDistribution
-
Generate a random value sampled from this distribution.
- sample(int) - Method in class org.nd4j.linalg.api.rng.distribution.BaseDistribution
-
Generate a random sample from the distribution.
- sample(int[]) - Method in class org.nd4j.linalg.api.rng.distribution.BaseDistribution
-
- sample() - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
-
Generate a random value sampled from this distribution.
- sample(int) - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
-
Generate a random sample from the distribution.
- sample(int[]) - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
-
Sample the given shape
- sample(int[]) - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
-
- sample() - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
Generate a random value sampled from this distribution.
- sample(int[]) - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
- sample() - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution
-
Generate a random value sampled from this distribution.
- sample(int[]) - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution
-
- sample(int) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- sample(int, Random) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- sample(int, boolean) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- sample(int, Random, boolean) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- sample(int) - Method in class org.nd4j.linalg.dataset.DataSet
-
Sample without replacement and a random rng
- sample(int, Random) - Method in class org.nd4j.linalg.dataset.DataSet
-
Sample without replacement
- sample(int, boolean) - Method in class org.nd4j.linalg.dataset.DataSet
-
Sample a dataset numSamples times
- sample(int, Random, boolean) - Method in class org.nd4j.linalg.dataset.DataSet
-
Sample a dataset
- SamplingDataSetIterator - Class in org.nd4j.linalg.dataset.api.iterator
-
A wrapper for a dataset to sample from.
- SamplingDataSetIterator(DataSet, int, int, boolean) - Constructor for class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator
-
- SamplingDataSetIterator(DataSet, int, int) - Constructor for class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator
-
- sasum(int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- sasum(int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- save(OutputStream) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Write the contents of this DataSet to the specified OutputStream
- save(File) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Save this DataSet to a file.
- save(File, File) - Method in class org.nd4j.linalg.dataset.api.iterator.StandardScaler
-
Deprecated.
Save the current mean and std
- save(OutputStream) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Save this MultiDataSet to the specified stream.
- save(File) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Save this MultiDataSet to the specified file
- save(List<File>, List<File>) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize
-
- save(File...) - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler
-
- save(File...) - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize
-
- save(File, File) - Method in class org.nd4j.linalg.dataset.api.preprocessor.stats.DistributionStats
-
Save distribution statistics to the file system
- save(OutputStream) - Method in class org.nd4j.linalg.dataset.DataSet
-
- save(File) - Method in class org.nd4j.linalg.dataset.DataSet
-
- save(OutputStream) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- save(File) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- saveBinary(INDArray, File) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Save an ndarray to the given file
- saxpy(int, float, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- saxpy(int, float, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- saxpy(double, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- saxpy(float, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- saxpy(double, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- saxpy(float, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- sbmv(char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
sbmv computes a matrix-vector product using a symmetric band matrix:
y := alpha*a*x + beta*y.
- sbmv(char, char, double, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
-
sbmv computes a matrix-vector product using a symmetric band matrix:
y := alpha*a*x + beta*y.
- scal(int, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
computes a vector by a scalar product.
- scal(int, IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
computes a vector by a scalar product.
- scal(int, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level1
-
computes a vector by a scalar product.
- scal(int, IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.blas.Level1
-
computes a vector by a scalar product.
- scal(IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- scal(double, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- scal(float, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- scal(IComplexFloat, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- scal(IComplexDouble, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- scal(double, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- scal(float, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- scal(IComplexFloat, IComplexNDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- scal(IComplexDouble, IComplexNDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- scal(IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Compute x <- alpha * x (scale a matrix)
- scalar() - Method in class org.nd4j.linalg.api.ops.BaseScalarOp
-
- scalar() - Method in interface org.nd4j.linalg.api.ops.ScalarOp
-
The normal scalar
- scalar(Number, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a scalar ndarray with the specified offset
- scalar(float, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(double, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(int, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(Number) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a scalar ndarray with the specified offset
- scalar(float) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(double) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(IComplexNumber, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a scalar ndarray with the specified offset
- scalar(IComplexFloat) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(IComplexDouble) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(IComplexNumber) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a scalar ndarray with the specified offset
- scalar(IComplexFloat, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(IComplexDouble, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(Number, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a scalar ndarray with the specified offset
- scalar(double, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a scalar nd array with the specified value and offset
- scalar(float, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a scalar nd array with the specified value and offset
- scalar(Number) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a scalar ndarray with the specified offset
- scalar(double) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a scalar nd array with the specified value and offset
- scalar(float) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a scalar nd array with the specified value and offset
- scalar(IComplexNumber, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a scalar ndarray with the specified offset
- scalar(IComplexFloat) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a scalar nd array with the specified value and offset
- scalar(IComplexDouble) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a scalar nd array with the specified value and offset
- scalar(IComplexNumber) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a scalar ndarray with the specified offset
- scalar(IComplexFloat, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a scalar nd array with the specified value and offset
- scalar(IComplexDouble, long) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a scalar nd array with the specified value and offset
- scalar(Number, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a scalar ndarray with the specified offset
- scalar(float, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(double, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(int, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- scalar(Number) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a scalar ndarray with the specified offset
- scalar(float) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(double) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(IComplexNumber, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a scalar ndarray with the specified offset
- scalar(IComplexFloat) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(IComplexDouble) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(IComplexNumber) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a scalar ndarray with the specified offset
- scalar(IComplexFloat, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(IComplexDouble, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a scalar nd array with the specified value and offset
- ScalarAdd - Class in org.nd4j.linalg.api.ops.impl.scalar
-
Scalar addition
- ScalarAdd() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarAdd
-
- ScalarAdd(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarAdd
-
- ScalarAdd(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarAdd
-
- ScalarAdd(INDArray, INDArray, INDArray, long, IComplexNumber) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarAdd
-
- ScalarAdd(INDArray, IComplexNumber) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarAdd
-
- ScalarAdd(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarAdd
-
- ScalarDivision - Class in org.nd4j.linalg.api.ops.impl.scalar
-
Scalar division
- ScalarDivision() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarDivision
-
- ScalarDivision(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarDivision
-
- ScalarDivision(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarDivision
-
- ScalarDivision(INDArray, INDArray, INDArray, long, IComplexNumber) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarDivision
-
- ScalarDivision(INDArray, IComplexNumber) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarDivision
-
- ScalarEquals - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison
-
Return a binary (0 or 1) when greater than a number
- ScalarEquals() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals
-
- ScalarEquals(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals
-
- ScalarEquals(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals
-
- ScalarEquals(INDArray, INDArray, INDArray, long, IComplexNumber) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals
-
- ScalarEquals(INDArray, IComplexNumber) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals
-
- ScalarEquals(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals
-
- scalarEquals(int[], int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Returns true if the given shapes are both scalars (0 dimension or shape[0] == 1)
- ScalarFMod - Class in org.nd4j.linalg.api.ops.impl.scalar
-
Scalar floating-point remainder (fmod)
- ScalarFMod() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarFMod
-
- ScalarFMod(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarFMod
-
- ScalarFMod(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarFMod
-
- ScalarFMod(INDArray, INDArray, INDArray, long, IComplexNumber) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarFMod
-
- ScalarFMod(INDArray, IComplexNumber) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarFMod
-
- ScalarGreaterThan - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison
-
Return a binary (0 or 1) when greater than a number
- ScalarGreaterThan() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThan
-
- ScalarGreaterThan(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThan
-
- ScalarGreaterThan(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThan
-
- ScalarGreaterThan(INDArray, INDArray, INDArray, long, IComplexNumber) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThan
-
- ScalarGreaterThan(INDArray, IComplexNumber) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThan
-
- ScalarGreaterThanOrEqual - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison
-
Return a binary (0 or 1) when greater than or equal to a number
- ScalarGreaterThanOrEqual() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThanOrEqual
-
- ScalarGreaterThanOrEqual(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThanOrEqual
-
- ScalarGreaterThanOrEqual(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThanOrEqual
-
- ScalarGreaterThanOrEqual(INDArray, INDArray, INDArray, long, IComplexNumber) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThanOrEqual
-
- ScalarGreaterThanOrEqual(INDArray, IComplexNumber) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThanOrEqual
-
- ScalarLessThan - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison
-
Return a binary (0 or 1) when less than a number
- ScalarLessThan() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThan
-
- ScalarLessThan(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThan
-
- ScalarLessThan(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThan
-
- ScalarLessThan(INDArray, INDArray, INDArray, long, IComplexNumber) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThan
-
- ScalarLessThan(INDArray, IComplexNumber) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThan
-
- ScalarLessThanOrEqual - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison
-
Return a binary (0 or 1) when less than
or equal to a number
- ScalarLessThanOrEqual() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThanOrEqual
-
- ScalarLessThanOrEqual(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThanOrEqual
-
- ScalarLessThanOrEqual(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThanOrEqual
-
- ScalarLessThanOrEqual(INDArray, INDArray, INDArray, long, IComplexNumber) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThanOrEqual
-
- ScalarLessThanOrEqual(INDArray, IComplexNumber) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThanOrEqual
-
- ScalarMax - Class in org.nd4j.linalg.api.ops.impl.scalar
-
Scalar max operation.
- ScalarMax() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMax
-
- ScalarMax(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMax
-
- ScalarMax(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMax
-
- ScalarMax(INDArray, INDArray, INDArray, long, IComplexNumber) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMax
-
- ScalarMax(INDArray, IComplexNumber) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMax
-
- ScalarMin - Class in org.nd4j.linalg.api.ops.impl.scalar
-
Scalar max operation.
- ScalarMin() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMin
-
- ScalarMin(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMin
-
- ScalarMin(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMin
-
- ScalarMin(INDArray, INDArray, INDArray, long, IComplexNumber) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMin
-
- ScalarMin(INDArray, IComplexNumber) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMin
-
- ScalarMultiplication - Class in org.nd4j.linalg.api.ops.impl.scalar
-
Scalar multiplication
- ScalarMultiplication() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMultiplication
-
- ScalarMultiplication(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMultiplication
-
- ScalarMultiplication(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMultiplication
-
- ScalarMultiplication(INDArray, INDArray, INDArray, long, IComplexNumber) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMultiplication
-
- ScalarMultiplication(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMultiplication
-
- ScalarMultiplication(INDArray, IComplexNumber) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMultiplication
-
- ScalarNotEquals - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison
-
Return a binary (0 or 1)
when greater than a number
- ScalarNotEquals() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNotEquals
-
- ScalarNotEquals(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNotEquals
-
- ScalarNotEquals(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNotEquals
-
- ScalarNotEquals(INDArray, INDArray, INDArray, long, IComplexNumber) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNotEquals
-
- ScalarNotEquals(INDArray, IComplexNumber) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNotEquals
-
- ScalarOp - Interface in org.nd4j.linalg.api.ops
-
Applies a scalar
along a bigger input array.
- ScalarRemainder - Class in org.nd4j.linalg.api.ops.impl.scalar
-
Scalar floating-point remainder
- ScalarRemainder() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarRemainder
-
- ScalarRemainder(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarRemainder
-
- ScalarRemainder(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarRemainder
-
- ScalarRemainder(INDArray, INDArray, INDArray, long, IComplexNumber) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarRemainder
-
- ScalarRemainder(INDArray, IComplexNumber) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarRemainder
-
- ScalarReverseDivision - Class in org.nd4j.linalg.api.ops.impl.scalar
-
Scalar reverse division
- ScalarReverseDivision() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseDivision
-
- ScalarReverseDivision(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseDivision
-
- ScalarReverseDivision(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseDivision
-
- ScalarReverseDivision(INDArray, INDArray, INDArray, long, IComplexNumber) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseDivision
-
- ScalarReverseDivision(INDArray, IComplexNumber) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseDivision
-
- ScalarReverseSubtraction - Class in org.nd4j.linalg.api.ops.impl.scalar
-
Scalar reverse subtraction
- ScalarReverseSubtraction() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseSubtraction
-
- ScalarReverseSubtraction(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseSubtraction
-
- ScalarReverseSubtraction(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseSubtraction
-
- ScalarReverseSubtraction(INDArray, INDArray, INDArray, long, IComplexNumber) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseSubtraction
-
- ScalarReverseSubtraction(INDArray, IComplexNumber) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseSubtraction
-
- ScalarSet - Class in org.nd4j.linalg.api.ops.impl.scalar
-
Scalar max operation.
- ScalarSet() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSet
-
- ScalarSet(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSet
-
- ScalarSet(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSet
-
- ScalarSet(INDArray, INDArray, INDArray, long, IComplexNumber) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSet
-
- ScalarSet(INDArray, IComplexNumber) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSet
-
- ScalarSetValue - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison
-
Scalar value set operation.
- ScalarSetValue() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarSetValue
-
- ScalarSetValue(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarSetValue
-
- ScalarSetValue(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarSetValue
-
- ScalarSetValue(INDArray, INDArray, INDArray, long, IComplexNumber) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarSetValue
-
- ScalarSetValue(INDArray, IComplexNumber) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarSetValue
-
- ScalarSubtraction - Class in org.nd4j.linalg.api.ops.impl.scalar
-
Scalar subtraction
- ScalarSubtraction() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSubtraction
-
- ScalarSubtraction(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSubtraction
-
- ScalarSubtraction(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSubtraction
-
- ScalarSubtraction(INDArray, INDArray, INDArray, long, IComplexNumber) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSubtraction
-
- ScalarSubtraction(INDArray, IComplexNumber) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSubtraction
-
- ScalarSubtraction(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSubtraction
-
- scale() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- scale() - Method in class org.nd4j.linalg.dataset.DataSet
-
Divides the input data transform
by the max number in each row
- scaleByMax(INDArray) - Static method in class org.nd4j.linalg.util.FeatureUtil
-
Divides each row by its max
- scaleMinAndMax(double, double) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- scaleMinAndMax(double, double) - Method in class org.nd4j.linalg.dataset.DataSet
-
- scaleMinMax(double, double, INDArray) - Static method in class org.nd4j.linalg.util.FeatureUtil
-
Scales the ndarray columns
to the given min/max values
- scan(Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- scan(Condition) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
This method takes boolean condition, and returns number of elements matching this condition
- scasum(int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- scnrm2(int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- scopeOutOfWorkspaces() - Method in class org.nd4j.linalg.memory.BasicMemoryManager
-
- scopeOutOfWorkspaces() - Method in interface org.nd4j.linalg.memory.MemoryManager
-
This method temporary opens block out of any workspace scope.
- scopeOutOfWorkspaces() - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
This method temporary opens block out of any workspace scope.
- scopy(int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- scopy(int, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- score() - Method in class org.nd4j.linalg.lossfunctions.LossCalculation
-
Deprecated.
Score the entire (mini)batch
- score(INDArray, LossFunctions.LossFunction, INDArray, double, double, boolean) - Static method in class org.nd4j.linalg.lossfunctions.LossFunctions
-
Generic scoring function.
- scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossCosineProximity
-
- scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossHinge
-
- scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL1
-
- scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL2
-
- scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAPE
-
- scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSLE
-
- scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossPoisson
-
- scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossSquaredHinge
-
- scoreExamples() - Method in class org.nd4j.linalg.lossfunctions.LossCalculation
-
Deprecated.
Calculate the score for each example individually.
- sdot(int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- sdot(int, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- sdsdot(int, float, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- secondaryStride() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- secondaryStride() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Deprecated.
- secondaryStride() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Return the second stride for an ndarray.
- seed - Variable in class org.nd4j.linalg.api.rng.DefaultRandom
-
- SELU - Class in org.nd4j.linalg.api.ops.impl.transforms
-
SELU activation function
https://arxiv.org/pdf/1706.02515.pdf
- SELU() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SELU
-
- SELU(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SELU
-
- SELU(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SELU
-
- SELU(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SELU
-
- SELUDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms
-
SELU Derivative elementwise function
https://arxiv.org/pdf/1706.02515.pdf
- SELUDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SELUDerivative
-
- SELUDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SELUDerivative
-
- SELUDerivative(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SELUDerivative
-
- SELUDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SELUDerivative
-
- serialize(INDArray, JsonGenerator, SerializerProvider) - Method in class org.nd4j.linalg.lossfunctions.serde.RowVectorSerializer
-
- serialVersionUID - Static variable in error org.nd4j.linalg.api.blas.BlasException
-
- Set - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Set
- Set(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Set
-
- Set() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Set
-
- Set(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Set
-
- Set(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Set
-
- Set(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Set
-
- set(Throwable) - Method in class org.nd4j.linalg.util.AtomicThrowable
-
This method updates state with given Throwable
- set(int, T) - Method in class org.nd4j.linalg.util.DeviceLocal
-
This method sets object for specific device
- set(T) - Method in class org.nd4j.linalg.util.DeviceLocal
-
This method sets object for current device
- setApplyFinalTransform(boolean) - Method in interface org.nd4j.linalg.api.ops.Accumulation
-
Setter for final transform
- setApplyFinalTransform(boolean) - Method in class org.nd4j.linalg.api.ops.BaseAccumulation
-
- setAutoGcWindow(int) - Method in class org.nd4j.linalg.memory.BasicMemoryManager
-
- setAutoGcWindow(int) - Method in interface org.nd4j.linalg.memory.MemoryManager
-
This method enables/disables periodic System.gc() calls.
- setBiasCorrected(boolean) - Method in class org.nd4j.linalg.api.ops.impl.accum.Variance
-
- setBlasWrapper(BlasWrapper) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Sets the global blas wrapper
- setColumnNames(List<String>) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- setColumnNames(List<String>) - Method in class org.nd4j.linalg.dataset.DataSet
-
Deprecated.
- setComplete(String, boolean) - Method in interface org.nd4j.linalg.dataset.api.iterator.cache.DataSetCache
-
Sets the flag indicating whether given namespace is fully cached
- setComplete(String, boolean) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InFileAndMemoryDataSetCache
-
- setComplete(String, boolean) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InFileDataSetCache
-
- setComplete(String, boolean) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InMemoryDataSetCache
-
- setConvolution(ConvolutionInstance) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Set a convolution instance
- setCurrentWorkspace(MemoryWorkspace) - Method in class org.nd4j.linalg.memory.BasicMemoryManager
-
- setCurrentWorkspace(MemoryWorkspace) - Method in interface org.nd4j.linalg.memory.MemoryManager
-
- setData(float[], INDArray) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil
-
Set the data for the underlying array.
- setData(double[], INDArray) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil
-
Set the data for the underlying array.
- setData(DataBuffer) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- setData(DataBuffer) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- setDataBufferLogEntries(List<DataBufferLogEntry>) - Method in class org.nd4j.linalg.api.instrumentation.InMemoryInstrumentation
-
- setDataType(String) - Method in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
-
- setDataType(String) - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
-
- setDataType(DataBuffer.Type) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method sets dataType for the current JVM runtime
- setDefaultCompression(String) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
-
Set the default compression algorithm
- setDefaultWorkspaceConfiguration(WorkspaceConfiguration) - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
This method allows to specify "Default" configuration, that will be used in signatures which do not have WorkspaceConfiguration argument
- setDimension(int...) - Method in class org.nd4j.linalg.api.ops.BaseBroadcastOp
-
- setDimension(int...) - Method in class org.nd4j.linalg.api.ops.BaseScalarOp
-
- setDimension(int...) - Method in interface org.nd4j.linalg.api.ops.BroadcastOp
-
Set the dimension for the vector op.
- setDimension(int...) - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals
-
- setDType(DataBuffer.Type) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Sets the data type
- setDType(DataBuffer.Type) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Sets the data type
- setElementWiseStride(IntBuffer, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the element wise stride for the
shape info buffer
- setElementWiseStride(DataBuffer, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the element wise stride for the
shape info buffer
- setEntries(List<LogEntry>) - Method in class org.nd4j.linalg.api.instrumentation.InMemoryInstrumentation
-
- setExampleMetaData(List<? extends Serializable>) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Set the metadata for this DataSet
By convention: the metadata can be any serializable object, one per example in the DataSet
- setExampleMetaData(List<? extends Serializable>) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Set the metadata for this MultiDataSet
By convention: the metadata can be any serializable object, one per example in the MultiDataSet
- setExampleMetaData(List<? extends Serializable>) - Method in class org.nd4j.linalg.dataset.DataSet
-
- setExampleMetaData(List<? extends Serializable>) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- setExecutionMode(OpExecutioner.ExecutionMode) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- setExecutionMode(OpExecutioner.ExecutionMode) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
Set the execution mode
- setExtraArgs(Object[]) - Method in interface org.nd4j.linalg.api.ops.Op
-
- setFactory(NDArrayFactory) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- setFeatures(INDArray) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Set the features array for the DataSet
- setFeatures(INDArray[]) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Set all of the features arrays for the MultiDataSet
- setFeatures(int, INDArray) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Set a single features array (by index) for the MultiDataSet
- setFeatures(INDArray) - Method in class org.nd4j.linalg.dataset.DataSet
-
- setFeatures(INDArray[]) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- setFeatures(int, INDArray) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- setFeaturesMaskArray(INDArray) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Set the features mask array in this DataSet
- setFeaturesMaskArray(int, INDArray) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Set a single feature mask array by index
- setFeaturesMaskArray(INDArray) - Method in class org.nd4j.linalg.dataset.DataSet
-
- setFeaturesMaskArray(int, INDArray) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- setFeaturesMaskArrays(INDArray[]) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Set the feature mask arrays
- setFeaturesMaskArrays(INDArray[]) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- setFeatureStats(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler
-
- setFft(FFTInstance) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- setFinalResult(Number) - Method in interface org.nd4j.linalg.api.ops.Accumulation
-
- setFinalResult(Number) - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
-
- setFinalResult(Number) - Method in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate
-
- setFinalResult(Number) - Method in class org.nd4j.linalg.api.ops.BaseAccumulation
-
- setFinalResult(int) - Method in class org.nd4j.linalg.api.ops.BaseIndexAccumulation
-
- setFinalResult(int) - Method in interface org.nd4j.linalg.api.ops.IndexAccumulation
-
Set the final index/result of the accumulation.
- setFinalResultComplex(IComplexNumber) - Method in interface org.nd4j.linalg.api.ops.Accumulation
-
- setFinalResultComplex(IComplexNumber) - Method in class org.nd4j.linalg.api.ops.BaseAccumulation
-
- setFirstPointers(GridPointers) - Method in class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp
-
- setFirstPointers(GridPointers) - Method in interface org.nd4j.linalg.api.ops.MetaOp
-
- setGradientViewArray(INDArray) - Method in class org.nd4j.linalg.activations.BaseActivationFunction
-
- setGradientViewArray(INDArray) - Method in interface org.nd4j.linalg.activations.IActivation
-
- setId(String) - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
-
- setIfFirst(Throwable) - Method in class org.nd4j.linalg.util.AtomicThrowable
-
This method updates state only if it wasn't set before
- setIndexer(Indexer) - Method in class org.nd4j.linalg.compression.CompressedDataBuffer
-
- setInterval(boolean) - Method in interface org.nd4j.linalg.indexing.INDArrayIndex
-
- setInterval(boolean) - Method in class org.nd4j.linalg.indexing.IntervalIndex
-
- setInterval(boolean) - Method in class org.nd4j.linalg.indexing.NDArrayIndex
-
- setInterval(boolean) - Method in class org.nd4j.linalg.indexing.NDArrayIndexEmpty
-
- setInterval(boolean) - Method in class org.nd4j.linalg.indexing.NewAxis
-
- setInterval(boolean) - Method in class org.nd4j.linalg.indexing.PointIndex
-
- setInterval(boolean) - Method in class org.nd4j.linalg.indexing.SpecifiedIndex
-
- setLabelNames(List<String>) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- setLabelNames(List<String>) - Method in class org.nd4j.linalg.dataset.DataSet
-
Sets the label names, will throw an exception if the passed
in label names doesn't equal the number of outcomes
- setLabels(INDArray) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- setLabels(INDArray[]) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Set all of the labels arrays for the MultiDataSet
- setLabels(int, INDArray) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Set a single labels array (by index) for the MultiDataSet
- setLabels(INDArray) - Method in class org.nd4j.linalg.dataset.DataSet
-
- setLabels(INDArray[]) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- setLabels(int, INDArray) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- setLabelsMaskArray(INDArray) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Set the labels mask array in this data set
- setLabelsMaskArray(INDArray[]) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Set the labels mask arrays
- setLabelsMaskArray(int, INDArray) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
-
Set a single labels mask array by index
- setLabelsMaskArray(INDArray) - Method in class org.nd4j.linalg.dataset.DataSet
-
- setLabelsMaskArray(INDArray[]) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- setLabelsMaskArray(int, INDArray) - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- setLabelStats(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler
-
- setLabelStats(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize
-
- setLength(long) - Method in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
-
- setLength(long) - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
-
- setMaskedValuesToZero(INDArray, INDArray) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil
-
- setMaxThreads(int) - Method in interface org.nd4j.linalg.api.blas.Blas
-
- setN(long) - Method in class org.nd4j.linalg.api.ops.BaseOp
-
- setN(long) - Method in interface org.nd4j.linalg.api.ops.Op
-
Change n
- setNdArrayFactoryClazz(Class<? extends NDArrayFactory>) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- setNdArrayType(String) - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
-
- setNewNumberOfLabels(int) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- setNewNumberOfLabels(int) - Method in class org.nd4j.linalg.dataset.DataSet
-
Clears the outcome matrix setting a new number of labels
- setOccasionalGcFrequency(int) - Method in class org.nd4j.linalg.memory.BasicMemoryManager
-
- setOccasionalGcFrequency(int) - Method in interface org.nd4j.linalg.memory.MemoryManager
-
Sets manual GC invocation frequency.
- setOrder(char) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- setOrder(char) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Set the ordering
- setOrder(IntBuffer, char) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Deprecated.
- setOrder(char) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Sets the order.
- setOrder(char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Sets the order.
- setOutcome(int, int) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- setOutcome(int, int) - Method in class org.nd4j.linalg.dataset.DataSet
-
Sets the outcome of a particular example
- setParametersViewArray(INDArray, boolean) - Method in class org.nd4j.linalg.activations.BaseActivationFunction
-
- setParametersViewArray(INDArray, boolean) - Method in interface org.nd4j.linalg.activations.IActivation
-
- setParams(INDArray, Collection<INDArray>...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Given a sequence of Iterators over a transform of matrices, fill in all of
the matrices with the entries in the theta vector.
- setParams(INDArray, Iterator<? extends INDArray>...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Given a sequence of Iterators over a transform of matrices, fill in all of
the matrices with the entries in the theta vector.
- setPreProcessor(DataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator
-
Set a pre processor
- setPreProcessor(DataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator
-
- setPreProcessor(DataSetPreProcessor) - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator
-
Set a pre processor
- setPreProcessor(DataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator
-
- setPreProcessor(MultiDataSetPreProcessor) - Method in interface org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator
-
Set the preprocessor to be applied to each MultiDataSet, before each MultiDataSet is returned.
- setPreProcessor(DataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator
-
Deprecated.
Set a pre processor
- setPreProcessor(DataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator
-
Set a pre processor
- setPreProcessor(DataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator
-
- setPreProcessor(MultiDataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.api.iterator.TestMultiDataSetIterator
-
- setPreProcessor(DataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator
-
- setPreProcessor(DataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
-
- setPreProcessor(DataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.ViewIterator
-
- setProfilingMode(OpExecutioner.ProfilingMode) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- setProfilingMode(OpExecutioner.ProfilingMode) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
This method specifies desired profiling mode
- SetRange - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Set range to a particular set of values
- SetRange() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SetRange
-
- SetRange(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SetRange
-
- SetRange(INDArray, INDArray, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SetRange
-
- SetRange(INDArray, INDArray, long, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SetRange
-
- SetRange(INDArray, INDArray, INDArray, long, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SetRange
-
- SetRange(INDArray, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SetRange
-
- setReferences(Collection<String>) - Method in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
-
- setReferences(Collection<String>) - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
-
- setRootDir(File) - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
-
- setSecondPointers(GridPointers) - Method in class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp
-
- setSecondPointers(GridPointers) - Method in interface org.nd4j.linalg.api.ops.MetaOp
-
- setSeed(int) - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
- setSeed(int[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
- setSeed(long) - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
- setSeed(int) - Method in interface org.nd4j.linalg.api.rng.Random
-
Sets the seed of the underlying random number generator using an
int seed.
- setSeed(int[]) - Method in interface org.nd4j.linalg.api.rng.Random
-
Sets the seed of the underlying random number generator using an
int seed.
- setSeed(long) - Method in interface org.nd4j.linalg.api.rng.Random
-
Sets the seed of the underlying random number generator using a
long seed.
- setShape(int[]) - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
-
- setShape(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- setShape(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Shape setter
- setStackTraceElements(StackTraceElement[]) - Method in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
-
- setStackTraceElements(StackTraceElement[]) - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
-
- setStateViewArray(INDArray, int[], char, boolean) - Method in class org.nd4j.linalg.learning.AdaDeltaUpdater
-
- setStateViewArray(INDArray, int[], char, boolean) - Method in class org.nd4j.linalg.learning.AdaGradUpdater
-
- setStateViewArray(INDArray, int[], char, boolean) - Method in class org.nd4j.linalg.learning.AdaMaxUpdater
-
- setStateViewArray(INDArray, int[], char, boolean) - Method in class org.nd4j.linalg.learning.AdamUpdater
-
- setStateViewArray(INDArray, int[], char, boolean) - Method in interface org.nd4j.linalg.learning.GradientUpdater
-
For the internal updater state (if any): set this to use the provided array.
- setStateViewArray(INDArray, int[], char, boolean) - Method in class org.nd4j.linalg.learning.legacy.AdaGrad
-
- setStateViewArray(INDArray, int[], char, boolean) - Method in class org.nd4j.linalg.learning.NadamUpdater
-
- setStateViewArray(INDArray, int[], char, boolean) - Method in class org.nd4j.linalg.learning.NesterovsUpdater
-
- setStateViewArray(INDArray, int[], char, boolean) - Method in class org.nd4j.linalg.learning.NoOpUpdater
-
- setStateViewArray(INDArray, int[], char, boolean) - Method in class org.nd4j.linalg.learning.RmsPropUpdater
-
- setStateViewArray(INDArray, int[], char, boolean) - Method in class org.nd4j.linalg.learning.SgdUpdater
-
- setStatus(String) - Method in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
-
- setStride(int[]) - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
-
- setStride(int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- setStride(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
stride setter
- setTest(DataSet) - Method in class org.nd4j.linalg.dataset.SplitTestAndTrain
-
- setTimestamp(long) - Method in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
-
- setTrain(DataSet) - Method in class org.nd4j.linalg.dataset.SplitTestAndTrain
-
- setWorkspaceForCurrentThread(MemoryWorkspace) - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
- setWorkspaceForCurrentThread(MemoryWorkspace, String) - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
-
- setWrapAround(boolean) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Deprecated.
- setWrapAround(boolean) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Set the ndarray to wrap around
- setX(INDArray) - Method in class org.nd4j.linalg.api.ops.BaseOp
-
- setX(INDArray) - Method in class org.nd4j.linalg.api.ops.impl.transforms.VectorFFT
-
- setX(INDArray) - Method in class org.nd4j.linalg.api.ops.impl.transforms.VectorIFFT
-
- setX(INDArray) - Method in interface org.nd4j.linalg.api.ops.Op
-
set x (the input ndarray)
- setY(INDArray) - Method in class org.nd4j.linalg.api.ops.BaseOp
-
- setY(INDArray) - Method in class org.nd4j.linalg.api.ops.impl.transforms.VectorFFT
-
- setY(INDArray) - Method in interface org.nd4j.linalg.api.ops.Op
-
set y(the pairwise ndarray)
- setZ(INDArray) - Method in class org.nd4j.linalg.api.ops.BaseOp
-
- setZ(INDArray) - Method in class org.nd4j.linalg.api.ops.impl.transforms.VectorFFT
-
- setZ(INDArray) - Method in class org.nd4j.linalg.api.ops.impl.transforms.VectorIFFT
-
- setZ(INDArray) - Method in interface org.nd4j.linalg.api.ops.Op
-
set z (the solution ndarray)
- sgbmv(char, char, int, int, int, int, float, INDArray, int, INDArray, int, float, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- Sgd - Class in org.nd4j.linalg.learning.config
-
SGD updater applies a learning rate only
- Sgd() - Constructor for class org.nd4j.linalg.learning.config.Sgd
-
- Sgd.Builder - Class in org.nd4j.linalg.learning.config
-
- SgdUpdater - Class in org.nd4j.linalg.learning
-
SGD updater applies a learning rate only
- SgdUpdater(Sgd) - Constructor for class org.nd4j.linalg.learning.SgdUpdater
-
- sgemm(char, char, char, int, int, int, float, INDArray, int, INDArray, int, float, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
- sgemv(char, char, int, int, float, INDArray, int, INDArray, int, float, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- sgeqrf(int, int, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
Float/Double versions of QR decomp.
- sger(char, int, int, float, INDArray, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- sgesvd(byte, byte, int, int, INDArray, INDArray, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
- sgetrf(int, int, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
Float/Double versions of LU decomp.
- shannonEntropy(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns non-normalized Shannon entropy along dimension
- shannonEntropy(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns entropy value for this INDArray along specified dimension(s)
- ShannonEntropy - Class in org.nd4j.linalg.api.ops.impl.accum
-
Non-normalized Shannon Entropy Op - returns the entropy (information gain, or uncertainty of a random variable).
- ShannonEntropy() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.ShannonEntropy
-
- ShannonEntropy(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.ShannonEntropy
-
- ShannonEntropy(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.ShannonEntropy
-
- ShannonEntropy(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.ShannonEntropy
-
- ShannonEntropy(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.ShannonEntropy
-
- ShannonEntropy(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.ShannonEntropy
-
- shannonEntropyNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns non-normalized Shannon entropy value for this INDArray
- shannonEntropyNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns non-normalized Shannon entropy value for this INDArray
- shape() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the shape(dimensions) of this array
- shape() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the shape of this ndarray
- Shape - Class in org.nd4j.linalg.api.shape
-
Encapsulates all shape related logic (vector of 0 dimension is a scalar is equivalent to
a vector of length 1...)
- shape(IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get array shape from the buffer, as an int[]
- shape(DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get array shape from the buffer, as an int[]
- shape(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get array shape from an int[]
- shape(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Returns the shape of the ndarray
- shape(INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.Indices
-
Calculate the shape for the given set of indices.
- shape(int[], INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.Indices
-
Calculate the shape for the given set of indices and offsets.
- shape(long[], INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.Indices
-
- shape - Variable in class org.nd4j.linalg.learning.AdaGradUpdater
-
- shape - Variable in class org.nd4j.linalg.learning.legacy.AdaGrad
-
- ShapeDescriptor - Class in org.nd4j.linalg.api.shape
-
- ShapeDescriptor(int[], int[], long, int, char) - Constructor for class org.nd4j.linalg.api.shape.ShapeDescriptor
-
- shapeEquals(int[], int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Returns whether 2 shapes are equals by checking for dimension semantics
as well as array equality
- shapeInfo() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- shapeInfo() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Shape info
- SHAPEINFO_PROVIDER - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- shapeInfoDataBuffer() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- shapeInfoDataBuffer() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Shape info
- shapeInfoLength(int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Return the shape info length
given the rank
- ShapeInfoProvider - Interface in org.nd4j.linalg.api.ndarray
-
- shapeInfoProvider - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- shapeInfoProviderClazz - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- shapeInformation - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- shapeInfoToString() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the shape information debugging
information
- shapeInfoToString() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the shape information debugging
information
- shapeOf() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- shapeOf(DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the shape from
the given int buffer
- shapeOf(IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the shape from
the given int buffer
- ShapeOffsetResolution - Class in org.nd4j.linalg.indexing
-
Sets up the strides, shape
, and offsets
for an indexing operation
- ShapeOffsetResolution(INDArray) - Constructor for class org.nd4j.linalg.indexing.ShapeOffsetResolution
-
Specify the array to use for resolution
- ShapeOp - Class in org.nd4j.linalg.api.ops
-
- ShapeOp() - Constructor for class org.nd4j.linalg.api.ops.ShapeOp
-
- ShapeOp(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.ShapeOp
-
Specify an alternative output array
- ShapeOp(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.ShapeOp
-
- ShapeOp(INDArray) - Constructor for class org.nd4j.linalg.api.ops.ShapeOp
-
An op for one ndarray
- ShapeOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.ShapeOp
-
Specify an alternative result array
- shapes - Variable in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate
-
- shapeToString(INDArray) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Prints the shape
for this shape information
- shapeToString(IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Prints the shape
for this shape information
- shouldInstrument - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- shuffle() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Shuffle the order of the rows in the DataSet.
- shuffle() - Method in class org.nd4j.linalg.dataset.DataSet
-
- shuffle(long) - Method in class org.nd4j.linalg.dataset.DataSet
-
Shuffles the dataset in place, given a seed for a random number generator.
- shuffle(INDArray, Random, int...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
In place shuffle of an ndarray
along a specified set of dimensions
- shuffle(INDArray, int...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
In place shuffle of an ndarray
along a specified set of dimensions
- shuffle(Collection<INDArray>, int...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Symmetric in place shuffle of an ndarray
along a specified set of dimensions
- shuffle(Collection<INDArray>, Random, int...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Symmetric in place shuffle of an ndarray
along a specified set of dimensions
- shuffle(List<INDArray>, Random, List<int[]>) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Symmetric in place shuffle of an ndarray
along a variable dimensions
- shuffle(INDArray, Random, int...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
In place shuffle of an ndarray
along a specified set of dimensions
- shuffle(Collection<INDArray>, Random, int...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Symmetric in place shuffle of an ndarray
along a specified set of dimensions.
- shuffle(List<INDArray>, Random, List<int[]>) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Symmetric in place shuffle of an ndarray
along a specified set of dimensions.
- Sigmoid - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Sigmoid function
- Sigmoid() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sigmoid
-
- Sigmoid(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sigmoid
-
- Sigmoid(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sigmoid
-
- Sigmoid(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sigmoid
-
- Sigmoid(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sigmoid
-
- Sigmoid(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sigmoid
-
- sigmoid(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Sigmoid function
- sigmoid(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Sigmoid function
- SigmoidDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Sigmoid derivative
- SigmoidDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SigmoidDerivative
-
- SigmoidDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SigmoidDerivative
-
- SigmoidDerivative(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SigmoidDerivative
-
- SigmoidDerivative(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SigmoidDerivative
-
- SigmoidDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SigmoidDerivative
-
- sigmoidDerivative(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Sigmoid function
- sigmoidDerivative(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Sigmoid function
- Sign - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Signum function
- Sign() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sign
-
- Sign(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sign
-
- Sign(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sign
-
- Sign(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sign
-
- Sign(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sign
-
- sign(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Signum function of this ndarray
- sign(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Signum function of this ndarray
- Sin - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Log elementwise function
- Sin(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sin
-
- Sin(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sin
-
- Sin(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sin
-
- Sin(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sin
-
- Sin() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sin
-
- sin(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Sin function
- sin(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Sin function
- sin(IComplexNumber) - Static method in class org.nd4j.linalg.util.ComplexUtil
-
Return the sin value of the given complex number
- SingleGenerator() - Constructor for class org.nd4j.linalg.indexing.SpecifiedIndex.SingleGenerator
-
- Sinh - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Log elementwise function
- Sinh(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sinh
-
- Sinh(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sinh
-
- Sinh(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sinh
-
- Sinh(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sinh
-
- Sinh() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sinh
-
- sinh(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Sinh function
- sinh(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Sinh function
- size(int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the size of this array
along a particular dimension
- size(int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the size along a specified dimension
- size(IntBuffer, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the size of the specified dimension.
- size(DataBuffer, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the size of the specified dimension.
- size(int[], int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- size() - Method in interface org.nd4j.linalg.compression.AbstractStorage
-
This method returns number of entries available in storage
- size() - Method in class org.nd4j.linalg.profiler.data.primitives.StackDescriptor
-
- size() - Method in class org.nd4j.linalg.profiler.data.primitives.TimeSet
-
- sizeForAxes(int[], int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Output an int array for a particular dimension
- sizeOfDataType() - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method returns sizeOf(currentDataType), in bytes
- sizeOfDataType(DataBuffer.Type) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method returns size of element for specified dataType, in bytes
- sizeUnsafe(DataBuffer, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the size of the specified dimension.
- sizeUnsafe(int[], int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- slice(int) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Returns the specified slice of this matrix.
- slice(int, int) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Returns the slice of this from the specified dimension
- slice(int, int) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Returns the specified slice of this ndarray
- slice(int) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Returns the specified slice of this ndarray
- slice(int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the specified slice of this matrix.
- slice(int, int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the slice of this from the specified dimension
- slice(int, int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the specified slice of this ndarray
- slice(int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the specified slice of this ndarray
- sliceOffsetForTensor(int, INDArray, int[]) - Static method in class org.nd4j.linalg.util.NDArrayMath
-
calculates the offset for a tensor
- slices() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Number of slices: aka shape[0]
- slices() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the number of slices in this ndarray
- sliceVectors(List<INDArray>) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Flattens the array for linear indexing
- sliceVectors(List<INDArray>) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- smallerDimension - Variable in class org.nd4j.linalg.api.ops.TadCollapseAccumulation
-
- snrm2(int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- SoftMax - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Soft max function
row_maxes is a row vector (max for each row)
row_maxes = rowmaxes(input)
diff = exp(input - max) / diff.rowSums()
Outputs a probability distribution.
- SoftMax() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftMax
-
- SoftMax(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftMax
-
- SoftMax(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftMax
-
- SoftMax(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftMax
-
- SoftMax(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftMax
-
- SoftMax(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftMax
-
- softmax(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- softmax(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- SoftMaxDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Softmax derivative
- SoftMaxDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftMaxDerivative
-
- SoftMaxDerivative(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftMaxDerivative
-
- SoftMaxDerivative(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftMaxDerivative
-
- SoftMaxDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftMaxDerivative
-
- SoftMaxDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftMaxDerivative
-
- SoftPlus - Class in org.nd4j.linalg.api.ops.impl.transforms
-
- SoftPlus(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftPlus
-
- SoftPlus() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftPlus
-
- SoftPlus(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftPlus
-
- SoftPlus(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftPlus
-
- SoftPlus(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftPlus
-
- softPlus(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- softPlus(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- SoftSign - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Softsign element-wise activation function.
- SoftSign() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftSign
-
- SoftSign(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftSign
-
- SoftSign(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftSign
-
- SoftSign(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftSign
-
- SoftSign(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftSign
-
- softsign(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- softsign(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- SoftSignDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms
-
SoftSign derivative.
- SoftSignDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftSignDerivative
-
- SoftSignDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftSignDerivative
-
- SoftSignDerivative(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftSignDerivative
-
- SoftSignDerivative(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftSignDerivative
-
- SoftSignDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SoftSignDerivative
-
- softsignDerivative(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- softsignDerivative(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- solverAbsoluteAccuracy - Variable in class org.nd4j.linalg.api.rng.distribution.BaseDistribution
-
- sort(IComplexNDArray, int, boolean) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Sort an ndarray along a particular dimension
- sort(INDArray, boolean) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- sort(INDArray, int, boolean) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Sort an ndarray along a particular dimension
- sort(INDArray, boolean) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- sort(INDArray, boolean, int...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- sortAndBatchByNumLabels() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- sortAndBatchByNumLabels() - Method in class org.nd4j.linalg.dataset.DataSet
-
Sorts the dataset by label:
Splits the data transform such that examples are sorted by their labels.
- sortByLabel() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- sortByLabel() - Method in class org.nd4j.linalg.dataset.DataSet
-
Organizes the dataset to minimize sampling error
while still allowing efficient batching.
- sortColumns(INDArray, int, boolean) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Sort (shuffle) the columns of a 2d array according to the value at a specified row.
- sortRows(INDArray, int, boolean) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Sort (shuffle) the rows of a 2d array according to the value at a specified column.
- sortWithIndices(IComplexNDArray, int, boolean) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Sort an ndarray along a particular dimension
- sortWithIndices(INDArray, int, boolean) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Sort an ndarray along a particular dimension
- specialConcat(int, INDArray...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Concatneate ndarrays along a dimension
PLEASE NOTE: This method is special for GPU backend, it works on HOST side only.
- specialConcat(int, INDArray...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Concatenate ndarrays along a dimension
PLEASE NOTE: This method is special for GPU backend, it works on HOST side only.
- SpecifiedIndex - Class in org.nd4j.linalg.indexing
-
- SpecifiedIndex(int...) - Constructor for class org.nd4j.linalg.indexing.SpecifiedIndex
-
- SpecifiedIndex(long...) - Constructor for class org.nd4j.linalg.indexing.SpecifiedIndex
-
- SpecifiedIndex.SingleGenerator - Class in org.nd4j.linalg.indexing
-
- SpecifiedIndex.SpecifiedIndexesGenerator - Class in org.nd4j.linalg.indexing
-
A generator for
SpecifiedIndex for
Itertools.product(Generator)
to iterate
over an array given a set of iterators
- SpecifiedIndexesGenerator(INDArrayIndex[]) - Constructor for class org.nd4j.linalg.indexing.SpecifiedIndex.SpecifiedIndexesGenerator
-
The indexes to generate from
- spilledAllocationsSize - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- splitTestAndTrain(int, Random) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- splitTestAndTrain(int) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- splitTestAndTrain(double) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
Split the DataSet into two DataSets randomly
- splitTestAndTrain(int, Random) - Method in class org.nd4j.linalg.dataset.DataSet
-
Splits a dataset in to test and train randomly.
- splitTestAndTrain(int) - Method in class org.nd4j.linalg.dataset.DataSet
-
Splits a dataset in to test and train
- splitTestAndTrain(double) - Method in class org.nd4j.linalg.dataset.DataSet
-
- SplitTestAndTrain - Class in org.nd4j.linalg.dataset
-
Split test and train
- SplitTestAndTrain(DataSet, DataSet) - Constructor for class org.nd4j.linalg.dataset.SplitTestAndTrain
-
- spmv(char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- spmv(char, char, double, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
-
- spotrf(byte, int, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
Float/Double versions of cholesky decomp for positive definite matrices
A = LL*
- spr(char, char, double, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
spr performs a rank-1 update of an n-by-n packed symmetric matrix a:
a := alpha*x*x' + a.
- spr(char, char, double, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
-
spr performs a rank-1 update of an n-by-n packed symmetric matrix a:
a := alpha*x*x' + a.
- spr2(char, char, double, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
?spr2 performs a rank-2 update of an n-by-n packed symmetric matrix a:
a := alpha*x*y' + alpha*y*x' + a.
- spr2(char, char, double, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
-
?spr2 performs a rank-2 update of an n-by-n packed symmetric matrix a:
a := alpha*x*y' + alpha*y*x' + a.
- Sqrt - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Sqrt function
- Sqrt() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sqrt
-
- Sqrt(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sqrt
-
- Sqrt(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sqrt
-
- Sqrt(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sqrt
-
- Sqrt(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Sqrt
-
- sqrt(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Sqrt function
- sqrt(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Sqrt function
- sqrt(IComplexNumber) - Static method in class org.nd4j.linalg.util.ComplexUtil
-
Return the absolute value of the given complex number
- squaredDistance(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Returns the squared (Euclidean) distance.
- squaredDistance(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the square of the Euclidean distance.
- squaredDistance(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the square of the Euclidean distance.
- squeeze(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Gets rid of any singleton dimensions of the given array
- squishToRange(double, double) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- squishToRange(double, double) - Method in class org.nd4j.linalg.dataset.DataSet
-
Squeezes input data to a max and a min
- srot(int, INDArray, int, INDArray, int, float, float) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- srotg(float, float, float, float) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- srotm(int, INDArray, int, INDArray, int, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- srotmg(float, float, float, float, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- ssbmv(char, char, int, int, float, INDArray, int, INDArray, int, float, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- sscal(int, float, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- sspmv(char, char, int, float, INDArray, INDArray, int, float, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- sspr(char, char, int, float, INDArray, int, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- sspr2(char, char, int, float, INDArray, int, INDArray, int, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- sswap(int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- ssyev(char, char, int, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
Float/Double versions of eigen value/vector calc.
- ssymm(char, char, char, int, int, float, INDArray, int, INDArray, int, float, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
- ssymv(char, char, int, float, INDArray, int, INDArray, int, float, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- ssyr(char, char, int, float, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- ssyr2(char, char, int, float, INDArray, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- ssyr2k(char, char, char, int, int, float, INDArray, int, INDArray, int, float, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
- ssyrk(char, char, char, int, int, float, INDArray, int, float, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
- Stabilize - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Stabilization function, forces values to be within a range
- Stabilize() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Stabilize
-
- Stabilize(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Stabilize
-
- Stabilize(INDArray, INDArray, long, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Stabilize
-
- Stabilize(INDArray, INDArray, INDArray, long, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Stabilize
-
- Stabilize(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Stabilize
-
- stabilize(INDArray, double) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- stabilize(INDArray, double, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Stabilize to be within a range of k
- StableNumber - Class in org.nd4j.linalg.indexing.functions
-
Returns a stable number based on infinity
or nan
- StableNumber(StableNumber.Type) - Constructor for class org.nd4j.linalg.indexing.functions.StableNumber
-
- StableNumber.Type - Enum in org.nd4j.linalg.indexing.functions
-
- StackAggregator - Class in org.nd4j.linalg.profiler.data
-
This is utility class, provides stack traces collection, used in OpProfiler, to count events occurrences based on their position in code
- StackAggregator() - Constructor for class org.nd4j.linalg.profiler.data.StackAggregator
-
- StackComparator - Class in org.nd4j.linalg.profiler.data.primitives
-
- StackComparator() - Constructor for class org.nd4j.linalg.profiler.data.primitives.StackComparator
-
- StackDescriptor - Class in org.nd4j.linalg.profiler.data.primitives
-
- StackDescriptor(StackTraceElement[]) - Constructor for class org.nd4j.linalg.profiler.data.primitives.StackDescriptor
-
- StackNode - Class in org.nd4j.linalg.profiler.data.primitives
-
- StackNode(String) - Constructor for class org.nd4j.linalg.profiler.data.primitives.StackNode
-
- stackTrace - Variable in class org.nd4j.linalg.profiler.data.primitives.StackDescriptor
-
- stackTraceElements - Variable in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
-
- StackTree - Class in org.nd4j.linalg.profiler.data.primitives
-
- StackTree() - Constructor for class org.nd4j.linalg.profiler.data.primitives.StackTree
-
- StandardDeviation - Class in org.nd4j.linalg.api.ops.impl.accum
-
Standard deviation (sqrt of variance)
- StandardDeviation(INDArray, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.StandardDeviation
-
- StandardDeviation(INDArray, INDArray, INDArray, long, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.StandardDeviation
-
- StandardDeviation() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.StandardDeviation
-
- StandardDeviation(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.StandardDeviation
-
- StandardDeviation(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.StandardDeviation
-
- StandardDeviation(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.StandardDeviation
-
- standardizeAllInputs() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
Apply standardization to all inputs, except the ones individually configured
- standardizeAllOutputs() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
Apply standardization to all outputs, except the ones individually configured
- standardizeInput(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
Apply standardization to a specific input, overriding the global input strategy if any
- standardizeOutput(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
Apply standardization to a specific output, overriding the global output strategy if any
- StandardizeSerializerStrategy - Class in org.nd4j.linalg.dataset.api.preprocessor.serializer
-
- StandardizeSerializerStrategy() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.serializer.StandardizeSerializerStrategy
-
- StandardizeStrategy - Class in org.nd4j.linalg.dataset.api.preprocessor
-
NormalizerStrategy implementation that will standardize and de-standardize data arrays, based on statistics
of the means and standard deviations of the population
- StandardizeStrategy() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.StandardizeStrategy
-
- StandardScaler - Class in org.nd4j.linalg.dataset.api.iterator
-
- StandardScaler() - Constructor for class org.nd4j.linalg.dataset.api.iterator.StandardScaler
-
Deprecated.
- stash - Variable in class org.nd4j.linalg.memory.stash.BasicStash
-
- Stash<T> - Interface in org.nd4j.linalg.memory.stash
-
This interface describe short-living storage, with pre-defined life time.
- StashManager - Interface in org.nd4j.linalg.memory.stash
-
This interface describes factory/holder for manipulating Stash objects
- stateSize(long) - Method in class org.nd4j.linalg.learning.config.AdaDelta
-
- stateSize(long) - Method in class org.nd4j.linalg.learning.config.AdaGrad
-
- stateSize(long) - Method in class org.nd4j.linalg.learning.config.Adam
-
- stateSize(long) - Method in class org.nd4j.linalg.learning.config.AdaMax
-
- stateSize(long) - Method in interface org.nd4j.linalg.learning.config.IUpdater
-
Determine the updater state size for the given number of parameters.
- stateSize(long) - Method in class org.nd4j.linalg.learning.config.Nadam
-
- stateSize(long) - Method in class org.nd4j.linalg.learning.config.Nesterovs
-
- stateSize(long) - Method in class org.nd4j.linalg.learning.config.NoOp
-
- stateSize(long) - Method in class org.nd4j.linalg.learning.config.RmsProp
-
- stateSize(long) - Method in class org.nd4j.linalg.learning.config.Sgd
-
- stateSizeForInputSize(int) - Method in class org.nd4j.linalg.learning.legacy.AdaGrad
-
- status - Variable in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
-
- stbmv(char, char, char, char, int, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- stbsv(char, char, char, char, int, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- std(int...) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- std(int...) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- std(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Standard deviation of an ndarray along a dimension
- std(boolean, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- std(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Standard deviation of an INDArray along one or more dimensions
- std(boolean, int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Standard deviation of an ndarray along a dimension
- std(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- std(IComplexNDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- std(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- std(IComplexNDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- stdComplex() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- stdComplex() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- stdComplex() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- stdNumber() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- stdNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- stdNumber(boolean) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- stdNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Calculate the standard deviation for the entire array
- stdNumber(boolean) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Calculate the standard deviation for the entire array, specifying whether it is bias corrected or not
- Step - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Unit step function.
- Step() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Step
-
- Step(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Step
-
- Step(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Step
-
- Step(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Step
-
- Step(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Step
-
- Step(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Step
-
- Step(INDArray, INDArray, long, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Step
-
- Step(INDArray, INDArray, INDArray, long, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Step
-
- Step(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Step
-
- step(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- step(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- stepsCount - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- stepsNumber - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- store(T, INDArray) - Method in interface org.nd4j.linalg.compression.AbstractStorage
-
Store object into storage
- store(T, float[]) - Method in interface org.nd4j.linalg.compression.AbstractStorage
-
Store object into storage
- store(T, double[]) - Method in interface org.nd4j.linalg.compression.AbstractStorage
-
Store object into storage
- storeIfAbsent(T, INDArray) - Method in interface org.nd4j.linalg.compression.AbstractStorage
-
Store object into storage, if it doesn't exist
- stpmv(char, char, char, char, int, INDArray, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- stpsv(char, char, char, char, int, INDArray, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- strategy - Variable in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer
-
- strategy - Variable in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer
-
- stride(int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- stride() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the stride(indices along the linear index for which each slice is accessed) of this array
- stride(int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Calculate the stride along a particular dimension
- stride() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the stride of this ndarray
- stride(IntBuffer, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the stride of the specified dimension
- stride(DataBuffer, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the stride of the specified dimension
- stride(int[], int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- stride(IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the stride for the given
shape information buffer
- stride(DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the shape from
the given int buffer
- stride(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- stride() - Method in interface org.nd4j.linalg.indexing.INDArrayIndex
-
The stride for the index (most of the time will be 1)
- stride(INDArray, INDArrayIndex[], int...) - Static method in class org.nd4j.linalg.indexing.Indices
-
Return the stride to be used for indexing
- stride - Variable in class org.nd4j.linalg.indexing.IntervalIndex
-
- stride() - Method in class org.nd4j.linalg.indexing.IntervalIndex
-
- stride() - Method in class org.nd4j.linalg.indexing.NDArrayIndex
-
- stride() - Method in class org.nd4j.linalg.indexing.NDArrayIndexEmpty
-
- stride() - Method in class org.nd4j.linalg.indexing.NewAxis
-
- stride() - Method in class org.nd4j.linalg.indexing.PointIndex
-
- stride() - Method in class org.nd4j.linalg.indexing.SpecifiedIndex
-
- strideArr(DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get array shape from the buffer, as an int[]
- strideDescendingCAscendingF(INDArray) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Check if strides are in order suitable for non-strided mmul etc.
- strideOf() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- StridePermutation - Class in org.nd4j.linalg.api.shape
-
Metadata for striding
mainly meant for internal use
- StridePermutation() - Constructor for class org.nd4j.linalg.api.shape.StridePermutation
-
- strides(char, NDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.Indices
-
Calculate the strides based on the given indices
- strideUnsafe(DataBuffer, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Get the stride of the specified dimension, without any input validation
- strideUnsafe(int[], int, int) - Static method in class org.nd4j.linalg.api.shape.Shape
-
- StringAggregator - Class in org.nd4j.linalg.profiler.data
-
- StringAggregator() - Constructor for class org.nd4j.linalg.profiler.data.StringAggregator
-
- StringCounter - Class in org.nd4j.linalg.profiler.data
-
Simple key-value counter
- StringCounter() - Constructor for class org.nd4j.linalg.profiler.data.StringCounter
-
- stripOnes(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Reshapes an ndarray to remove leading 1s
- strmm(char, char, char, char, char, int, int, float, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
- strmv(char, char, char, char, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- strsm(char, char, char, char, char, int, int, float, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
- strsv(char, char, char, char, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- sub(Number, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- sub(Number) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- sub(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
copy subtraction of two matrices
- sub(INDArray, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
copy subtraction of two matrices
- sub(IComplexNumber, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- sub(IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- sub(IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- sub(IComplexNumber, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- sub(IComplexNumber) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- sub(Number, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- sub(Number) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- sub(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
copy subtraction of two matrices
- sub(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
copy subtraction of two matrices
- sub(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- sub(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
copy subtraction of two matrices
- sub(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
copy subtraction of two matrices
- sub(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- sub(IComplexNumber) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- sub(IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- sub(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Scalar subtraction (copied)
- sub(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- sub(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
copy subtraction of two NDArrays
- sub(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
copy subtraction of two NDArrays
- sub(IComplexNumber) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- sub(IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- sub2Ind(int[], int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Convert the given index (such as 1,1)
to a linear index
- subArray(long[], int[], int[]) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- subArray(ShapeOffsetResolution) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- subArray(long[], int[], int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- subArray(ShapeOffsetResolution) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Sub array based on the
pre calculated shape,strides, offsets
- subArray(long[], int[], int[]) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- subColumnVector(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
In place addition of a column vector
- subColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
In place addition of a column vector
- subColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
In place addition of a column vector
- subColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Subtraction of a column vector (copy)
- subi(Number, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- subi(Number) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- subi(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
in place subtraction of two matrices
- subi(INDArray, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
in place subtraction of two matrices
- subi(IComplexNumber, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- subi(IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- subi(IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- subi(IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- subi(IComplexNumber, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- subi(IComplexNumber) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- subi(Number, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- subi(Number) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- subi(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
in place subtraction of two matrices
- subi(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
in place subtraction of two matrices
- subi(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- subi(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
in place subtraction of two matrices
- subi(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
in place subtraction of two matrices
- subi(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- subi(IComplexNumber) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- subi(IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- subi(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
In place scalar subtraction
- subi(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
In place subtraction of this ndarray
- subi(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
in place (element wise) subtraction of two NDArrays
- subi(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
in place (element wise) subtraction of two NDArrays
- subi(IComplexNumber) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- subi(IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- subiColumnVector(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
In place addition of a column vector
- subiColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
In place addition of a column vector
- subiColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
In place addition of a column vector
- subiColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
In place subtraction of a column vector
- subiRowVector(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
In place addition of a column vector
- subiRowVector(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
In place addition of a column vector
- subiRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
In place addition of a column vector
- subiRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
In place subtraction of a row vector
- SubOp - Class in org.nd4j.linalg.api.ops.impl.transforms.arithmetic
-
Subtraction operation
- SubOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.SubOp
-
- SubOp(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.SubOp
-
- SubOp(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.SubOp
-
- SubOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.SubOp
-
- SubOp(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.SubOp
-
- SubOp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.SubOp
-
- subRowVector(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
In place addition of a column vector
- subRowVector(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
In place addition of a column vector
- subRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
In place addition of a column vector
- subRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Subtraction of a row vector (copy)
- sum(int...) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- sum(int...) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Returns the sum along the last dimension of this ndarray
- sum(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the sum along the last dimension of this ndarray
- sum(INDArray, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- sum(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the sum along the last dimension of this ndarray
- sum(INDArray, int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the sum along the last dimension of this ndarray
- Sum - Class in org.nd4j.linalg.api.ops.impl.accum
-
Sum the components
- Sum() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Sum
-
- Sum(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Sum
-
- Sum(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Sum
-
- Sum(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Sum
-
- Sum(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Sum
-
- Sum(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Sum
-
- sum(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- sum(IComplexNDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- sum(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- sum(IComplexNDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- sumComplex() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- sumComplex() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- sumComplex() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Sum the entire array
- sumNumber() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- sumNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- sumNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Sum the entire array
- supportsDataBufferL1Ops() - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- supportsDataBufferL1Ops() - Method in interface org.nd4j.linalg.api.blas.Level1
-
Can we use the axpy and copy methods that take a DataBuffer instead of an INDArray with this backend?
- swap(INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
swaps a vector with another vector.
- swap(IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- swap(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level1
-
swaps a vector with another vector.
- swap(IComplexNDArray, IComplexNDArray) - Method in interface org.nd4j.linalg.api.blas.Level1
-
- swap(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- swap(INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Compute x <-> y (swap two matrices)
- swapAxes(int, int) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Mainly here for people coming from numpy.
- swapAxes(int, int) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Mainly here for people coming from numpy.
- swapAxes(int, int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Mainly here for people coming from numpy.
- swapAxes(int, int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Mainly here for people coming from numpy.
- syev(char, char, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
- syev(char, char, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Lapack
-
Caclulate the eigenvalues and vectors of a symmetric matrix.
- syev(char, char, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- syev(char, char, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
- syevd(char, char, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- syevd(char, char, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
- syevr(char, char, char, INDArray, float, float, int, int, Number, INDArray, INDArray, int[]) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- syevr(char, char, char, INDArray, double, double, int, int, double, INDArray, INDArray, int[]) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- syevr(char, char, char, INDArray, float, float, int, int, float, INDArray, INDArray, int[]) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- syevr(char, char, char, INDArray, double, double, int, int, double, INDArray, INDArray, int[]) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- syevr(char, char, char, INDArray, float, float, int, int, float, INDArray, INDArray, int[]) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
Deprecated.
- syevr(char, char, char, INDArray, float, float, int, int, Number, INDArray, INDArray, int[]) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
- syevx(char, char, char, INDArray, double, double, int, int, double, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- syevx(char, char, char, INDArray, float, float, int, int, float, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- syevx(char, char, char, INDArray, double, double, int, int, double, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
- syevx(char, char, char, INDArray, float, float, int, int, float, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
- sygvd(int, char, char, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- sygvd(int, char, char, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
- symm(char, char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
her2k performs a rank-2k update of an n-by-n Hermitian matrix c, that is, one of the following operations:
c := alpha*a*conjg(b') + conjg(alpha)*b*conjg(a') + beta*c, for trans = 'N'or'n'
c := alpha*conjg(b')*a + conjg(alpha)*conjg(a')*b + beta*c, for trans = 'C'or'c'
where c is an n-by-n Hermitian matrix;
a and b are n-by-k matrices if trans = 'N'or'n',
a and b are k-by-n matrices if trans = 'C'or'c'.
- symm(char, char, char, IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
her2k performs a rank-2k update of an n-by-n Hermitian matrix c, that is, one of the following operations:
c := alpha*a*conjg(b') + conjg(alpha)*b*conjg(a') + beta*c, for trans = 'N'or'n'
c := alpha*conjg(b')*a + conjg(alpha)*conjg(a')*b + beta*c, for trans = 'C'or'c'
where c is an n-by-n Hermitian matrix;
a and b are n-by-k matrices if trans = 'N'or'n',
a and b are k-by-n matrices if trans = 'C'or'c'.
- symm(char, char, char, double, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level3
-
her2k performs a rank-2k update of an n-by-n Hermitian matrix c, that is, one of the following operations:
c := alpha*a*conjg(b') + conjg(alpha)*b*conjg(a') + beta*c, for trans = 'N'or'n'
c := alpha*conjg(b')*a + conjg(alpha)*conjg(a')*b + beta*c, for trans = 'C'or'c'
where c is an n-by-n Hermitian matrix;
a and b are n-by-k matrices if trans = 'N'or'n',
a and b are k-by-n matrices if trans = 'C'or'c'.
- symm(char, char, char, IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.blas.Level3
-
her2k performs a rank-2k update of an n-by-n Hermitian matrix c, that is, one of the following operations:
c := alpha*a*conjg(b') + conjg(alpha)*b*conjg(a') + beta*c, for trans = 'N'or'n'
c := alpha*conjg(b')*a + conjg(alpha)*conjg(a')*b + beta*c, for trans = 'C'or'c'
where c is an n-by-n Hermitian matrix;
a and b are n-by-k matrices if trans = 'N'or'n',
a and b are k-by-n matrices if trans = 'C'or'c'.
- symmetricGeneralizedEigenvalues(INDArray) - Static method in class org.nd4j.linalg.eigen.Eigen
-
Compute generalized eigenvalues of the problem A x = L x.
- symmetricGeneralizedEigenvalues(INDArray, boolean) - Static method in class org.nd4j.linalg.eigen.Eigen
-
Compute generalized eigenvalues of the problem A x = L x.
- symmetricGeneralizedEigenvalues(INDArray, INDArray) - Static method in class org.nd4j.linalg.eigen.Eigen
-
Compute generalized eigenvalues of the problem A x = L B x.
- symmetricGeneralizedEigenvalues(INDArray, INDArray, boolean) - Static method in class org.nd4j.linalg.eigen.Eigen
-
Compute generalized eigenvalues of the problem A x = L B x.
- symv(char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
symv computes a matrix-vector product for a symmetric matrix:
y := alpha*a*x + beta*y.
- symv(char, char, double, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
-
symv computes a matrix-vector product for a symmetric matrix:
y := alpha*a*x + beta*y.
- syr(char, char, int, double, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
syr performs a rank-1 update of an n-by-n symmetric matrix a:
a := alpha*x*x' + a.
- syr(char, char, int, double, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
-
syr performs a rank-1 update of an n-by-n symmetric matrix a:
a := alpha*x*x' + a.
- syr2(char, char, double, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- syr2(char, char, double, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
-
- syr2k(char, char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
yr2k performs a rank-2k update of an n-by-n symmetric matrix c, that is, one of the following operations:
c := alpha*a*b' + alpha*b*a' + beta*c for trans = 'N'or'n'
c := alpha*a'*b + alpha*b'*a + beta*c for trans = 'T'or't',
where c is an n-by-n symmetric matrix;
a and b are n-by-k matrices, if trans = 'N'or'n',
a and b are k-by-n matrices, if trans = 'T'or't'.
- syr2k(char, char, char, IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
yr2k performs a rank-2k update of an n-by-n symmetric matrix c, that is, one of the following operations:
c := alpha*a*b' + alpha*b*a' + beta*c for trans = 'N'or'n'
c := alpha*a'*b + alpha*b'*a + beta*c for trans = 'T'or't',
where c is an n-by-n symmetric matrix;
a and b are n-by-k matrices, if trans = 'N'or'n',
a and b are k-by-n matrices, if trans = 'T'or't'.
- syr2k(char, char, char, double, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level3
-
yr2k performs a rank-2k update of an n-by-n symmetric matrix c, that is, one of the following operations:
c := alpha*a*b' + alpha*b*a' + beta*c for trans = 'N'or'n'
c := alpha*a'*b + alpha*b'*a + beta*c for trans = 'T'or't',
where c is an n-by-n symmetric matrix;
a and b are n-by-k matrices, if trans = 'N'or'n',
a and b are k-by-n matrices, if trans = 'T'or't'.
- syr2k(char, char, char, IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.blas.Level3
-
yr2k performs a rank-2k update of an n-by-n symmetric matrix c, that is, one of the following operations:
c := alpha*a*b' + alpha*b*a' + beta*c for trans = 'N'or'n'
c := alpha*a'*b + alpha*b'*a + beta*c for trans = 'T'or't',
where c is an n-by-n symmetric matrix;
a and b are n-by-k matrices, if trans = 'N'or'n',
a and b are k-by-n matrices, if trans = 'T'or't'.
- syrk(char, char, char, double, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
syrk performs a rank-n update of an n-by-n symmetric matrix c, that is, one of the following operations:
c := alpha*a*a' + beta*c for trans = 'N'or'n'
c := alpha*a'*a + beta*c for trans = 'T'or't','C'or'c',
where c is an n-by-n symmetric matrix;
a is an n-by-k matrix, if trans = 'N'or'n',
a is a k-by-n matrix, if trans = 'T'or't','C'or'c'.
- syrk(char, char, char, IComplexNumber, IComplexNDArray, IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
syrk performs a rank-n update of an n-by-n symmetric matrix c, that is, one of the following operations:
c := alpha*a*a' + beta*c for trans = 'N'or'n'
c := alpha*a'*a + beta*c for trans = 'T'or't','C'or'c',
where c is an n-by-n symmetric matrix;
a is an n-by-k matrix, if trans = 'N'or'n',
a is a k-by-n matrix, if trans = 'T'or't','C'or'c'.
- syrk(char, char, char, double, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level3
-
syrk performs a rank-n update of an n-by-n symmetric matrix c, that is, one of the following operations:
c := alpha*a*a' + beta*c for trans = 'N'or'n'
c := alpha*a'*a + beta*c for trans = 'T'or't','C'or'c',
where c is an n-by-n symmetric matrix;
a is an n-by-k matrix, if trans = 'N'or'n',
a is a k-by-n matrix, if trans = 'T'or't','C'or'c'.
- syrk(char, char, char, IComplexNumber, IComplexNDArray, IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.blas.Level3
-
syrk performs a rank-n update of an n-by-n symmetric matrix c, that is, one of the following operations:
c := alpha*a*a' + beta*c for trans = 'N'or'n'
c := alpha*a'*a + beta*c for trans = 'T'or't','C'or'c',
where c is an n-by-n symmetric matrix;
a is an n-by-k matrix, if trans = 'N'or'n',
a is a k-by-n matrix, if trans = 'T'or't','C'or'c'.
- sysv(char, INDArray, int[], INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- sysv(char, INDArray, int[], INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
- t - Variable in class org.nd4j.linalg.util.AtomicThrowable
-
- TadCollapseAccumulation - Class in org.nd4j.linalg.api.ops
-
This implements a collapsing tad reduction
based on different dimensions.
- TadCollapseAccumulation() - Constructor for class org.nd4j.linalg.api.ops.TadCollapseAccumulation
-
- TadCollapseAccumulation(Op, int[], int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.TadCollapseAccumulation
-
- TadCollapseAccumulation(Op, int[], int[]) - Constructor for class org.nd4j.linalg.api.ops.TadCollapseAccumulation
-
- TadCollapseAccumulation(Op, int[]) - Constructor for class org.nd4j.linalg.api.ops.TadCollapseAccumulation
-
- TadCollapseAccumulation(Op) - Constructor for class org.nd4j.linalg.api.ops.TadCollapseAccumulation
-
- TadCollapseAccumulation(INDArray, Op) - Constructor for class org.nd4j.linalg.api.ops.TadCollapseAccumulation
-
- TadCollapseAccumulation(INDArray, INDArray, INDArray, long, Op) - Constructor for class org.nd4j.linalg.api.ops.TadCollapseAccumulation
-
- TadCollapseAccumulation(INDArray, INDArray, Op) - Constructor for class org.nd4j.linalg.api.ops.TadCollapseAccumulation
-
- TadCollapseAccumulation(INDArray, INDArray, long, Op) - Constructor for class org.nd4j.linalg.api.ops.TadCollapseAccumulation
-
- TadDescriptor - Class in org.nd4j.linalg.cache
-
This is utility class, made to compare TADs for caching purposes.
- TadDescriptor(INDArray, int[]) - Constructor for class org.nd4j.linalg.cache.TadDescriptor
-
Pass in an ndarray to get the databuffer
and the appropriate dimensions
- tadIndex(int, int, int) - Static method in class org.nd4j.linalg.api.ops.TadCollapseAccumulation
-
Given an linear index, element wise stride
and the length of each tad
map a linear index to a tad
- TADManager - Interface in org.nd4j.linalg.cache
-
This interface describes TAD caching.
- tadsForLargerDimension - Variable in class org.nd4j.linalg.api.ops.TadCollapseAccumulation
-
- tadsForSmallerDimension - Variable in class org.nd4j.linalg.api.ops.TadCollapseAccumulation
-
- tadsPerReduceIndex(int, int) - Static method in class org.nd4j.linalg.api.ops.TadCollapseAccumulation
-
Computes the number of tads
per reduce index for the
reduction tad.
- tagLocation(INDArray, AffinityManager.Location) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager
-
This method tags specific INDArray as "recent" on specified location
- tagLocation(DataBuffer, AffinityManager.Location) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager
-
This method tags specific DataBuffer as "recent" on specified location
- tagLocation(INDArray, AffinityManager.Location) - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager
-
- tagLocation(DataBuffer, AffinityManager.Location) - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager
-
- tagOutOfScopeUse() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
- tagOutOfScopeUse() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- tagScope - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- tailor2d(DataSet, boolean) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil
-
- tailor2d(INDArray, INDArray) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil
-
- tailor3d2d(DataSet, boolean) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil
-
Deprecated.
- tailor3d2d(INDArray, INDArray) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil
-
- tailor4d2d(DataSet, boolean) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil
-
- tailor4d2d(INDArray) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil
-
- Tan - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Tanh elementwise function
- Tan() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Tan
-
- Tan(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Tan
-
- Tan(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Tan
-
- Tan(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Tan
-
- Tan(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Tan
-
- Tan(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Tan
-
- TanDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Tan Derivative elementwise function
- TanDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.TanDerivative
-
- TanDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.TanDerivative
-
- TanDerivative(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.TanDerivative
-
- TanDerivative(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.TanDerivative
-
- TanDerivative(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.TanDerivative
-
- TanDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.TanDerivative
-
- Tanh - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Tanh elementwise function
- Tanh() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Tanh
-
- Tanh(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Tanh
-
- Tanh(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Tanh
-
- Tanh(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Tanh
-
- Tanh(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Tanh
-
- Tanh(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Tanh
-
- tanh(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Tanh function
- tanh(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Tanh function
- tanh(IComplexNumber) - Static method in class org.nd4j.linalg.util.ComplexUtil
-
Return the tanh of a complex number
- TanhDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Tanh derivative
- TanhDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.TanhDerivative
-
- TanhDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.TanhDerivative
-
- TanhDerivative(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.TanhDerivative
-
- TanhDerivative(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.TanhDerivative
-
- TanhDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.TanhDerivative
-
- Task - Class in org.nd4j.linalg.heartbeat.reports
-
- Task() - Constructor for class org.nd4j.linalg.heartbeat.reports.Task
-
- Task.ArchitectureType - Enum in org.nd4j.linalg.heartbeat.reports
-
- Task.NetworkType - Enum in org.nd4j.linalg.heartbeat.reports
-
- TaskUtils - Class in org.nd4j.linalg.heartbeat.utils
-
- tbmv(char, char, char, char, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
syr2 performs a rank-2 update of an n-by-n symmetric matrix a:
a := alpha*x*y' + alpha*y*x' + a.
- tbmv(char, char, char, char, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
-
syr2 performs a rank-2 update of an n-by-n symmetric matrix a:
a := alpha*x*y' + alpha*y*x' + a.
- tbpttWindowSize - Variable in class org.nd4j.linalg.dataset.api.preprocessor.classimbalance.BaseUnderSamplingPreProcessor
-
- tbsv(char, char, char, char, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
?tbsv solves a system of linear equations whose coefficients are in a triangular band matrix.
- tbsv(char, char, char, char, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
-
?tbsv solves a system of linear equations whose coefficients are in a triangular band matrix.
- tear(INDArray, int...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
This method does the opposite to pile/vstack/hstack - it returns independent TAD copies along given dimensions
- tear(INDArray, int...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- Tensor1DStats() - Constructor for class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil.Tensor1DStats
-
- tensorAlongDimension(int, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- tensorAlongDimension(int, int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Get the vector along a particular dimension
- tensorLength - Variable in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil.Tensor1DStats
-
- TensorMmul - Class in org.nd4j.linalg.api.ops.impl.accum
-
Dot product
- TensorMmul(INDArray, INDArray, int[][]) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.TensorMmul
-
- TensorMmul(INDArray, INDArray, INDArray, int[][]) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.TensorMmul
-
Initialize with the given
input, pairwise transform, result, and number
of elements
- tensorMmul(INDArray, INDArray, INDArray, int[][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Tensor matrix multiplication.
- tensorMmul(INDArray, INDArray, int[][]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Tensor matrix multiplication.
- tensorsPerSlice(INDArray, int[]) - Static method in class org.nd4j.linalg.util.NDArrayMath
-
Computes the tensors per slice
given a tensor shape and array
- tensorssAlongDimension(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- tensorssAlongDimension(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the number of possible vectors for a given dimension
- tensorStartSeparation - Variable in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil.Tensor1DStats
-
- TestDataSetIterator - Class in org.nd4j.linalg.dataset.api.iterator
-
Created by susaneraly on 5/26/16.
- TestDataSetIterator(DataSet, int) - Constructor for class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator
-
- TestDataSetIterator(List<DataSet>, int) - Constructor for class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator
-
- TestDataSetIterator(DataSet) - Constructor for class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator
-
This makes an iterator from the given dataset and batchsize
ONLY for use in tests in nd4j
Initializes with a default batch of 5
- testFold() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator
-
- TestMultiDataSetIterator - Class in org.nd4j.linalg.dataset.api.iterator
-
- TestMultiDataSetIterator(int, MultiDataSet...) - Constructor for class org.nd4j.linalg.dataset.api.iterator.TestMultiDataSetIterator
-
Makes an iterator from the given datasets.
- threadId - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- ThresholdCompression - Class in org.nd4j.linalg.compression
-
- ThresholdCompression() - Constructor for class org.nd4j.linalg.compression.ThresholdCompression
-
- thresholdDecode(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- thresholdDecode(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
This method decodes thresholds array, and puts it into target array
- thresholdEncode(INDArray, double) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- thresholdEncode(INDArray, double, Integer) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- thresholdEncode(INDArray, double) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
This method encodes array as thresholds, updating input array at the same time
- thresholdEncode(INDArray, double, Integer) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
This method encodes array as thresholds, updating input array at the same time
- tile(INDArray, int...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
An alias for repmat
- timeBlasCall() - Method in class org.nd4j.linalg.profiler.OpProfiler
-
- timeOpCall(Op, long) - Method in class org.nd4j.linalg.profiler.OpProfiler
-
- TimeSet - Class in org.nd4j.linalg.profiler.data.primitives
-
Utility holder class, used to store timing sets retrieved with profiler.
- TimeSet() - Constructor for class org.nd4j.linalg.profiler.data.primitives.TimeSet
-
- TimesOneMinus - Class in org.nd4j.linalg.api.ops.impl.transforms
-
If x is input: output is x*(1-x)
- TimesOneMinus() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.TimesOneMinus
-
- TimesOneMinus(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.TimesOneMinus
-
- TimesOneMinus(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.TimesOneMinus
-
- TimesOneMinus(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.TimesOneMinus
-
- TimesOneMinus(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.TimesOneMinus
-
- timestamp - Variable in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
-
- toArray(ByteBuffer, int) - Static method in class org.nd4j.serde.binary.BinarySerde
-
Create an ndarray
from the unsafe buffer
- toArray(ByteBuffer) - Static method in class org.nd4j.serde.binary.BinarySerde
-
Create an ndarray
from the unsafe buffer
- toArrayAndByteBuffer(ByteBuffer, int) - Static method in class org.nd4j.serde.binary.BinarySerde
-
Create an ndarray and existing bytebuffer
- toBuffer(int...) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Convert an array to a byte buffer
- toByteArray(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Convert an ndarray to a byte array
- toByteBuffer() - Method in class org.nd4j.linalg.compression.CompressionDescriptor
-
Return a direct allocated
bytebuffer from the compression codec.
- toByteBuffer(INDArray) - Static method in class org.nd4j.serde.binary.BinarySerde
-
Convert an ndarray to an unsafe buffer
for use by aeron
- toCompactString() - Method in class org.nd4j.linalg.heartbeat.reports.Environment
-
- toCompactString() - Method in class org.nd4j.linalg.heartbeat.reports.Task
-
- toFlattened(Collection<INDArray>) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Returns a vector with all of the elements in every nd array
equal to the sum of the lengths of the ndarrays
- toFlattened(int, Iterator<? extends INDArray>...) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- toFlattened(INDArray...) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- toFlattened(char, INDArray...) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- toFlattened(Collection<INDArray>) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a long row vector of all of the given ndarrays
- toFlattened(char, Collection<INDArray>) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a long row vector of all of the given ndarrays
- toFlattened(int, Iterator<? extends INDArray>...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a long row vector of all of the given ndarrays
- toFlattened(INDArray...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a long row vector of all of the given ndarrays
- toFlattened(char, INDArray...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a long row vector of all of the given ndarrays/
- toFlattened(Collection<INDArray>) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
/**
Returns a flattened ndarray with all of the elements in each ndarray
regardless of dimension
- toFlattened(int, Iterator<? extends INDArray>...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Returns a flattened ndarray with all of the elements in each ndarray
regardless of dimension
- toFlattened(char, Collection<INDArray>) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Returns a flattened ndarray with all elements in each ndarray
regardless of dimension.
- toFlattened(INDArray...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Flatten all of the ndarrays in to one long vector
- toFlattened(char, INDArray...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Flatten all of the ndarrays in to one long vector
- toggleAveraging(boolean) - Method in class org.nd4j.linalg.memory.BasicMemoryManager
-
- toggleAveraging(boolean) - Method in interface org.nd4j.linalg.memory.MemoryManager
-
This method enables/disables calculation of average time spent within loops
Default: false
- togglePeriodicGc(boolean) - Method in class org.nd4j.linalg.memory.BasicMemoryManager
-
- togglePeriodicGc(boolean) - Method in interface org.nd4j.linalg.memory.MemoryManager
-
This method enables/disables periodic GC
- toggleWorkspaceUse(boolean) - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
-
This method allows you to temporary disable/enable given Workspace use.
- toggleWorkspaceUse(boolean) - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
This method allows to temporary disable this workspace, and issue allocations directly.
- toIndexes(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Convert the given int indexes
to nd array indexes
- toInts(long[]) - Static method in class org.nd4j.linalg.util.LongUtils
-
- toInts(INDArray) - Static method in class org.nd4j.linalg.util.NDArrayUtil
-
- toLongs(int[]) - Static method in class org.nd4j.linalg.util.LongUtils
-
- toMmulCompatible(INDArray) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Idea: make an matrix compatible for mmul without needing to be copied first
A matrix is compatible for mmul if its values are contiguous in memory.
- toNDArray(int[][]) - Static method in class org.nd4j.linalg.util.NDArrayUtil
-
- toNDArray(int[]) - Static method in class org.nd4j.linalg.util.NDArrayUtil
-
- toOffsetZero(INDArray) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Create a copy of the matrix
where the new offset is zero
- toOffsetZeroCopy(INDArray) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Create a copy of the ndarray where the new offset is zero
- toOffsetZeroCopy(INDArray, char) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Create a copy of the ndarray where the new offset is zero, and has specified order
- toOffsetZeroCopyAnyOrder(INDArray) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Create a copy of the ndarray where the new offset is zero.
- toOutcomeMatrix(int[], int) - Static method in class org.nd4j.linalg.util.FeatureUtil
-
Creates an out come vector from the specified inputs
- toOutcomeVector(int, int) - Static method in class org.nd4j.linalg.util.FeatureUtil
-
Creates an out come vector from the specified inputs
- toString() - Method in class org.nd4j.linalg.activations.impl.ActivationCube
-
- toString() - Method in class org.nd4j.linalg.activations.impl.ActivationELU
-
- toString() - Method in class org.nd4j.linalg.activations.impl.ActivationHardSigmoid
-
- toString() - Method in class org.nd4j.linalg.activations.impl.ActivationHardTanH
-
- toString() - Method in class org.nd4j.linalg.activations.impl.ActivationIdentity
-
- toString() - Method in class org.nd4j.linalg.activations.impl.ActivationLReLU
-
- toString() - Method in class org.nd4j.linalg.activations.impl.ActivationRationalTanh
-
- toString() - Method in class org.nd4j.linalg.activations.impl.ActivationRectifiedTanh
-
- toString() - Method in class org.nd4j.linalg.activations.impl.ActivationReLU
-
- toString() - Method in class org.nd4j.linalg.activations.impl.ActivationRReLU
-
- toString() - Method in class org.nd4j.linalg.activations.impl.ActivationSELU
-
- toString() - Method in class org.nd4j.linalg.activations.impl.ActivationSigmoid
-
- toString() - Method in class org.nd4j.linalg.activations.impl.ActivationSoftmax
-
- toString() - Method in class org.nd4j.linalg.activations.impl.ActivationSoftPlus
-
- toString() - Method in class org.nd4j.linalg.activations.impl.ActivationSoftSign
-
- toString() - Method in class org.nd4j.linalg.activations.impl.ActivationTanH
-
- toString() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Generate string representation of the matrix.
- toString() - Method in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
-
- toString() - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
-
- toString() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Generate string representation of the matrix.
- toString() - Method in class org.nd4j.linalg.api.ops.BaseOp
-
- toString() - Method in class org.nd4j.linalg.api.ops.exception.BlasOpErrorMessage
-
- toString(IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
To String for an int buffer
- toString(DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
-
To String for an int buffer
- toString() - Method in class org.nd4j.linalg.api.shape.ShapeDescriptor
-
- toString() - Method in class org.nd4j.linalg.dataset.DataSet
-
- toString() - Method in class org.nd4j.linalg.dataset.MultiDataSet
-
- toString() - Method in class org.nd4j.linalg.indexing.NDArrayIndex
-
- toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT
-
- toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossCosineProximity
-
- toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossFMeasure
-
- toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossHinge
-
- toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossKLD
-
- toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossL1
-
- toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossL2
-
- toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAE
-
- toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAPE
-
- toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMCXENT
-
- toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity
-
- toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSE
-
- toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSLE
-
- toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossNegativeLogLikelihood
-
- toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossPoisson
-
- toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossSquaredHinge
-
- toString() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- toString() - Method in class org.nd4j.linalg.profiler.data.primitives.StackDescriptor
-
- totalExamples() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator
-
- totalExamples() - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator
-
- totalExamples() - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator
-
Total examples in the iterator
- totalExamples - Variable in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher
-
- totalExamples() - Method in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher
-
- totalExamples() - Method in interface org.nd4j.linalg.dataset.api.iterator.fetcher.DataSetFetcher
-
The total number of examples
- totalExamples() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator
-
Returns total number of examples in the dataset (all k folds)
- totalExamples() - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator
-
Deprecated.
Total examples in the iterator
- totalExamples() - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator
-
- totalExamples() - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator
-
- totalExamples() - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator
-
- totalExamples() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
-
- totalExamples() - Method in class org.nd4j.linalg.dataset.ViewIterator
-
- totalOutcomes() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator
-
- totalOutcomes() - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator
-
- totalOutcomes() - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator
-
The number of labels for the dataset
- totalOutcomes() - Method in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher
-
- totalOutcomes() - Method in interface org.nd4j.linalg.dataset.api.iterator.fetcher.DataSetFetcher
-
The number of labels for a dataset
- totalOutcomes() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator
-
- totalOutcomes() - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator
-
Deprecated.
The number of labels for the dataset
- totalOutcomes() - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator
-
- totalOutcomes() - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator
-
- totalOutcomes() - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator
-
- totalOutcomes() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
-
- totalOutcomes() - Method in class org.nd4j.linalg.dataset.ViewIterator
-
- totalsIncrement() - Method in class org.nd4j.linalg.profiler.data.StringCounter
-
- touch(INDArray) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager
-
Utility method, to associate INDArray with specific device (backend-specific)
- touch(DataBuffer) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager
-
Utility method, to associate INDArray with specific device (backend-specific)
- tpmv(char, char, char, char, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
tpmv computes a matrix-vector product using a triangular packed matrix.
- tpmv(char, char, char, char, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
-
tpmv computes a matrix-vector product using a triangular packed matrix.
- tpsv(char, char, char, char, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
tpsv solves a system of linear equations whose coefficients are in a triangular packed matrix.
- tpsv(char, char, char, char, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
-
tpsv solves a system of linear equations whose coefficients are in a triangular packed matrix.
- transform(DataSet) - Method in class org.nd4j.linalg.dataset.api.iterator.StandardScaler
-
Deprecated.
Transform the data
- transform(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer
-
Transform the given dataset
- transform(INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer
-
Transform the given INDArray
- transform(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer
-
- transform(MultiDataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer
-
- transform(INDArray) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.DataNormalization
-
Transform the dataset
- transform(INDArray, INDArray) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.DataNormalization
-
Transform the features, with an optional mask array
- transform(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler
-
Transform the data
- transform(INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler
-
- transform(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler
-
- transform(MultiDataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerHybrid
-
Transform the dataset
- transform(T) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.Normalizer
-
Transform the dataset
- transform(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.VGG16ImagePreProcessor
-
Transform the data
- transform(INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.VGG16ImagePreProcessor
-
- transform(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.VGG16ImagePreProcessor
-
- transformLabel(INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer
-
Transform the labels.
- transformLabel(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer
-
- transformLabel(INDArray) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.DataNormalization
-
Transform the labels.
- transformLabel(INDArray, INDArray) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.DataNormalization
-
Transform the labels.
- transformLabel(INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler
-
- transformLabel(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler
-
- transformLabel(INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.VGG16ImagePreProcessor
-
- transformLabel(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.VGG16ImagePreProcessor
-
- TransformOp - Interface in org.nd4j.linalg.api.ops
-
Transform operation:
stores the result in an ndarray
- Transforms - Class in org.nd4j.linalg.ops.transforms
-
Functional interface for the different op classes
- transpose() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Return transposed copy of this matrix.
- transpose() - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Flip the rows and columns of a matrix
- transpose() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Return transposed copy of this matrix.
- transpose() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Flip the rows and columns of a matrix
- Transpose - Class in org.nd4j.linalg.api.ops.impl.shape
-
Transpose function
- Transpose() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Transpose
-
- Transpose(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Transpose
-
- Transpose(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Transpose
-
- Transpose(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Transpose
-
- Transpose(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Transpose
-
- transposei() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Return transposed copy of this matrix.
- transposei() - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- transposei() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Return transposed version of this matrix.
- transposei() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Flip the rows and columns of a matrix, in-place
- traverse(int, boolean) - Method in class org.nd4j.linalg.profiler.data.primitives.StackNode
-
- trimmedMode - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- trimmedStep - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
-
- trmm(char, char, char, char, char, double, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
syr2k performs a rank-2k update of an n-by-n symmetric matrix c, that is, one of the following operations:
c := alpha*a*b' + alpha*b*a' + beta*c for trans = 'N'or'n'
c := alpha*a'*b + alpha*b'*a + beta*c for trans = 'T'or't',
where c is an n-by-n symmetric matrix;
a and b are n-by-k matrices, if trans = 'N'or'n',
a and b are k-by-n matrices, if trans = 'T'or't'.
- trmm(char, char, char, char, char, IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
syr2k performs a rank-2k update of an n-by-n symmetric matrix c, that is, one of the following operations:
c := alpha*a*b' + alpha*b*a' + beta*c for trans = 'N'or'n'
c := alpha*a'*b + alpha*b'*a + beta*c for trans = 'T'or't',
where c is an n-by-n symmetric matrix;
a and b are n-by-k matrices, if trans = 'N'or'n',
a and b are k-by-n matrices, if trans = 'T'or't'.
- trmm(char, char, char, char, char, double, INDArray, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level3
-
syr2k performs a rank-2k update of an n-by-n symmetric matrix c, that is, one of the following operations:
c := alpha*a*b' + alpha*b*a' + beta*c for trans = 'N'or'n'
c := alpha*a'*b + alpha*b'*a + beta*c for trans = 'T'or't',
where c is an n-by-n symmetric matrix;
a and b are n-by-k matrices, if trans = 'N'or'n',
a and b are k-by-n matrices, if trans = 'T'or't'.
- trmm(char, char, char, char, char, IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNDArray) - Method in interface org.nd4j.linalg.api.blas.Level3
-
syr2k performs a rank-2k update of an n-by-n symmetric matrix c, that is, one of the following operations:
c := alpha*a*b' + alpha*b*a' + beta*c for trans = 'N'or'n'
c := alpha*a'*b + alpha*b'*a + beta*c for trans = 'T'or't',
where c is an n-by-n symmetric matrix;
a and b are n-by-k matrices, if trans = 'N'or'n',
a and b are k-by-n matrices, if trans = 'T'or't'.
- trmv(char, char, char, char, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
trmv computes a matrix-vector product using a triangular matrix.
- trmv(char, char, char, char, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
-
trmv computes a matrix-vector product using a triangular matrix.
- trsm(char, char, char, char, char, double, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
?trsm solves one of the following matrix equations:
op(a)*x = alpha*b or x*op(a) = alpha*b,
where x and b are m-by-n general matrices, and a is triangular;
op(a) must be an m-by-m matrix, if side = 'L'or'l'
op(a) must be an n-by-n matrix, if side = 'R'or'r'.
- trsm(char, char, char, char, char, IComplexNumber, IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
-
?trsm solves one of the following matrix equations:
op(a)*x = alpha*b or x*op(a) = alpha*b,
where x and b are m-by-n general matrices, and a is triangular;
op(a) must be an m-by-m matrix, if side = 'L'or'l'
op(a) must be an n-by-n matrix, if side = 'R'or'r'.
- trsm(char, char, char, char, char, double, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level3
-
?trsm solves one of the following matrix equations:
op(a)*x = alpha*b or x*op(a) = alpha*b,
where x and b are m-by-n general matrices, and a is triangular;
op(a) must be an m-by-m matrix, if side = 'L'or'l'
op(a) must be an n-by-n matrix, if side = 'R'or'r'.
- trsm(char, char, char, char, char, IComplexNumber, IComplexNDArray, IComplexNDArray) - Method in interface org.nd4j.linalg.api.blas.Level3
-
?trsm solves one of the following matrix equations:
op(a)*x = alpha*b or x*op(a) = alpha*b,
where x and b are m-by-n general matrices, and a is triangular;
op(a) must be an m-by-m matrix, if side = 'L'or'l'
op(a) must be an n-by-n matrix, if side = 'R'or'r'.
- trsv(char, char, char, char, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
trsv solves a system of linear equations whose coefficients are in a triangular matrix.
- trsv(char, char, char, char, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
-
trsv solves a system of linear equations whose coefficients are in a triangular matrix.
- truncate(IComplexNDArray, int, int) - Static method in class org.nd4j.linalg.util.ComplexNDArrayUtil
-
Truncates an ndarray to the specified shape.
- tryShortCircuit(INDArrayIndex...) - Method in class org.nd4j.linalg.indexing.ShapeOffsetResolution
-
- typeConversion(INDArray, DataBuffer.TypeEx) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- validate() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- validate() - Method in class org.nd4j.linalg.dataset.DataSet
-
- validate(long, INDArrayIndex) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
-
- validateConcat(int, INDArray...) - Static method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- validateDataType(DataBuffer.Type, Op) - Static method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
Validate the data types
for the given operation
- validateDataType(DataBuffer.Type, INDArray...) - Static method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- value - Variable in class org.nd4j.linalg.indexing.conditions.BaseCondition
-
- Value - Class in org.nd4j.linalg.indexing.functions
-
Created by agibsonccc on 10/8/14.
- Value(Number) - Constructor for class org.nd4j.linalg.indexing.functions.Value
-
- valueArrayOf(int[], double) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray with the specified value
as the only value in the ndarray
- valueArrayOf(int, int, double) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates a row vector with the specified number of columns
- valueArrayOf(int[], double) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified value
as the only value in the ndarray.
- valueArrayOf(int, double) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a row vector ndarray with the specified value
as the only value in the ndarray
Some people may know this as np.full
- valueArrayOf(int, int, double) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a row vector with the specified number of columns
Some people may know this as np.full
- valueArrayOf(int[], double) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray with the specified value
as the only value in the ndarray
- valueArrayOf(int, int, double) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a row vector with the specified number of columns
- valueOf(String) - Static method in enum org.nd4j.linalg.activations.Activation
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.nd4j.linalg.api.blas.Blas.Vendor
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.nd4j.linalg.api.concurrency.AffinityManager.Location
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.nd4j.linalg.api.ops.executioner.OpExecutioner.ExecutionMode
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.nd4j.linalg.api.ops.executioner.OpExecutioner.ProfilingMode
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.nd4j.linalg.api.ops.impl.transforms.convolution.Pooling2D.Pooling2DType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.nd4j.linalg.api.ops.Op.Type
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.nd4j.linalg.compression.CompressionAlgorithm
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.nd4j.linalg.compression.CompressionType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.nd4j.linalg.convolution.Convolution.Type
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.nd4j.linalg.dataset.api.iterator.enums.InequalityHandling
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.nd4j.linalg.factory.Nd4j.PadMode
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.nd4j.linalg.heartbeat.reports.Event
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.nd4j.linalg.heartbeat.reports.Task.ArchitectureType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.nd4j.linalg.heartbeat.reports.Task.NetworkType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.nd4j.linalg.indexing.functions.StableNumber.Type
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.nd4j.linalg.profiler.OpProfiler.PenaltyCause
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.nd4j.versioncheck.VersionCheck.Detail
-
Returns the enum constant of this type with the specified name.
- values() - Static method in enum org.nd4j.linalg.activations.Activation
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.nd4j.linalg.api.blas.Blas.Vendor
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.nd4j.linalg.api.concurrency.AffinityManager.Location
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.nd4j.linalg.api.ops.executioner.OpExecutioner.ExecutionMode
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.nd4j.linalg.api.ops.executioner.OpExecutioner.ProfilingMode
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.nd4j.linalg.api.ops.impl.transforms.convolution.Pooling2D.Pooling2DType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.nd4j.linalg.api.ops.Op.Type
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.nd4j.linalg.compression.CompressionAlgorithm
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.nd4j.linalg.compression.CompressionType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.nd4j.linalg.convolution.Convolution.Type
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.nd4j.linalg.dataset.api.iterator.enums.InequalityHandling
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.nd4j.linalg.factory.Nd4j.PadMode
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.nd4j.linalg.heartbeat.reports.Event
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.nd4j.linalg.heartbeat.reports.Task.ArchitectureType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.nd4j.linalg.heartbeat.reports.Task.NetworkType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.nd4j.linalg.indexing.functions.StableNumber.Type
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.nd4j.linalg.profiler.OpProfiler.PenaltyCause
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.nd4j.versioncheck.VersionCheck.Detail
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- var(int...) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- var(int...) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
- var(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the overall variance of this ndarray
- var(boolean, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the overall variance of this ndarray
- var(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the overall variance of this ndarray
- var(boolean, int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the overall variance of this ndarray
- var(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- var(IComplexNDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- var(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- var(IComplexNDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- varComplex() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- varComplex() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- varComplex() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- Variance - Class in org.nd4j.linalg.api.ops.impl.accum
-
Variance with bias correction.
- Variance() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Variance
-
- Variance(boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Variance
-
- Variance(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Variance
-
- Variance(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Variance
-
- Variance(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Variance
-
- Variance(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Variance
-
- Variance(INDArray, INDArray, INDArray, long, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Variance
-
- Variance(INDArray, INDArray, long, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Variance
-
- Variance(INDArray, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Variance
-
- Variance(INDArray, INDArray, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Variance
-
- varNumber() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- varNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- varNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the overall variance of all values in this INDArray
- vectorAlongDimension(int, int) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Get the vector along a particular dimension
- vectorAlongDimension(int, int) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray
-
Get the vector along a particular dimension
- vectorAlongDimension(int, int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Get the vector along a particular dimension
- vectorAlongDimension(int, int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Get the vector along a particular dimension
- VectorFFT - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Encapsulated vector operation
- VectorFFT() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.VectorFFT
-
- VectorFFT(INDArray, INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.VectorFFT
-
- VectorFFT(INDArray, INDArray, long, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.VectorFFT
-
- VectorFFT(INDArray, INDArray, INDArray, long, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.VectorFFT
-
- VectorFFT(INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.VectorFFT
-
- VectorFFT(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.VectorFFT
-
- VectorIFFT - Class in org.nd4j.linalg.api.ops.impl.transforms
-
Single ifft operation
- VectorIFFT() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.VectorIFFT
-
- VectorIFFT(INDArray, INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.VectorIFFT
-
- VectorIFFT(INDArray, INDArray, long, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.VectorIFFT
-
- VectorIFFT(INDArray, INDArray, INDArray, long, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.VectorIFFT
-
- VectorIFFT(INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.VectorIFFT
-
- VectorIFFT(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.VectorIFFT
-
- vectorsAlongDimension(int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns the number of possible vectors for a given dimension
- vectorsAlongDimension(int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the number of possible vectors for a given dimension
- vectorsPerSlice(INDArray) - Static method in class org.nd4j.linalg.util.NDArrayMath
-
The number of vectors
in each slice of an ndarray.
- vectorsPerSlice(INDArray, int...) - Static method in class org.nd4j.linalg.util.NDArrayMath
-
The number of vectors
in each slice of an ndarray.
- VERSION_CHECK_PROPERTY - Static variable in class org.nd4j.versioncheck.VersionCheck
-
Setting the system property to false will stop ND4J from performing the version check, and logging any
warnings/errors.
- VersionCheck - Class in org.nd4j.versioncheck
-
A runtime version check utility that does 2 things:
(a) validates the versions of ND4J, DL4J, DataVec, RL4J, Arbiter on the class path, logging a warning if
incompatible versions are found
(b) allows users to get version information for the above projects at runtime.
- VersionCheck.Detail - Enum in org.nd4j.versioncheck
-
Detailed level for logging:
GAV: display group ID, artifact, version
GAVC: display group ID, artifact, version, commit ID
FULL: display group ID, artifact, version, commit ID, build time, branch, commit message
- VersionInfo - Class in org.nd4j.versioncheck
-
Created by Alex on 04/08/2017.
- VersionInfo(String, String, String) - Constructor for class org.nd4j.versioncheck.VersionInfo
-
- VersionInfo(String) - Constructor for class org.nd4j.versioncheck.VersionInfo
-
- versionInfoString() - Static method in class org.nd4j.versioncheck.VersionCheck
-
- versionInfoString(VersionCheck.Detail) - Static method in class org.nd4j.versioncheck.VersionCheck
-
Get the version information for dependencies as a string with a specified amount of detail
- VGG16ImagePreProcessor - Class in org.nd4j.linalg.dataset.api.preprocessor
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This is a preprocessor specifically for VGG16.
- VGG16ImagePreProcessor() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.VGG16ImagePreProcessor
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- VGG_MEAN_OFFSET_BGR - Static variable in class org.nd4j.linalg.dataset.api.preprocessor.VGG16ImagePreProcessor
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- ViewIterator - Class in org.nd4j.linalg.dataset
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Iterate over a dataset
with views
- ViewIterator(DataSet, int) - Constructor for class org.nd4j.linalg.dataset.ViewIterator
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- vstack(INDArray...) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
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Concatenates two matrices vertically.
- vstack(INDArray...) - Static method in class org.nd4j.linalg.factory.Nd4j
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Concatenates two matrices vertically.
- vstack(Collection<INDArray>) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Concatenates two matrices vertically.
- vstack(INDArray...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Concatenates two matrices vertically.