- 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
- AbsValueGreaterThan - Class in org.nd4j.linalg.indexing.conditions
-
Boolean condition on absolute value: abs(x) > value
- AbsValueGreaterThan(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.AbsValueGreaterThan
-
- AbsValueLessThan - Class in org.nd4j.linalg.indexing.conditions
-
Boolean condition on absolute value: abs(x) < value
- AbsValueLessThan(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.AbsValueLessThan
-
- accum - Variable in class org.nd4j.linalg.api.ops.TadCollapseAccumulation
-
- 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.
- AccumulationINDArrayTask(Accumulation, OpExecutioner, INDArray) - Constructor for class org.nd4j.linalg.api.parallel.TaskCreator.AccumulationINDArrayTask
-
- AccumulationINDArrayTask(Accumulation, OpExecutioner, INDArray, int) - Constructor for class org.nd4j.linalg.api.parallel.TaskCreator.AccumulationINDArrayTask
-
- AccumulationINDArrayTask(Accumulation, OpExecutioner, int, INDArray, int[]) - Constructor for class org.nd4j.linalg.api.parallel.TaskCreator.AccumulationINDArrayTask
-
- 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
- AdaDelta - Class in org.nd4j.linalg.learning
-
http://www.matthewzeiler.com/pubs/googleTR2012/googleTR2012.pdf
Ada delta updater.
- AdaDelta(double) - Constructor for class org.nd4j.linalg.learning.AdaDelta
-
- AdaDelta.AdaDeltaAggregator - Class in org.nd4j.linalg.learning
-
- AdaDeltaAggregator() - Constructor for class org.nd4j.linalg.learning.AdaDelta.AdaDeltaAggregator
-
- AdaGrad - 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/
- AdaGrad(int, int, double) - Constructor for class org.nd4j.linalg.learning.AdaGrad
-
- AdaGrad(int, int) - Constructor for class org.nd4j.linalg.learning.AdaGrad
-
- AdaGrad(int[], double) - Constructor for class org.nd4j.linalg.learning.AdaGrad
-
- AdaGrad(double) - Constructor for class org.nd4j.linalg.learning.AdaGrad
-
- AdaGrad.AdaGradAggregator - Class in org.nd4j.linalg.learning
-
- AdaGradAggregator() - Constructor for class org.nd4j.linalg.learning.AdaGrad.AdaGradAggregator
-
- Adam - Class in org.nd4j.linalg.learning
-
The Adam updater.
- Adam(double, double, double, double) - Constructor for class org.nd4j.linalg.learning.Adam
-
- Adam(double, double, double) - Constructor for class org.nd4j.linalg.learning.Adam
-
- Adam(double) - Constructor for class org.nd4j.linalg.learning.Adam
-
- Adam.AdamAggregator - Class in org.nd4j.linalg.learning
-
- AdamAggregator() - Constructor for class org.nd4j.linalg.learning.Adam.AdamAggregator
-
- 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
-
copy addition of two NDArrays
- add(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
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
-
- 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)
- 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 addition of two NDArrays
- addi(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
in place 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
- 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)
- 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
- aggregate(GradientUpdater) - Method in class org.nd4j.linalg.learning.AdaDelta.AdaDeltaAggregator
-
- aggregate(GradientUpdater) - Method in class org.nd4j.linalg.learning.AdaGrad.AdaGradAggregator
-
- aggregate(GradientUpdater) - Method in class org.nd4j.linalg.learning.Adam.AdamAggregator
-
- aggregate(GradientUpdater) - Method in interface org.nd4j.linalg.learning.GradientUpdaterAggregator
-
Add/aggregate a GradientUpdater with this GradientUpdaterAggregator.
- aggregate(GradientUpdater) - Method in class org.nd4j.linalg.learning.Nesterovs.NesterovsAggregator
-
- aggregate(GradientUpdater) - Method in class org.nd4j.linalg.learning.RmsProp.RmsPropAggregator
-
- aggregate(GradientUpdater) - Method in class org.nd4j.linalg.learning.Sgd.SgdAggregator
-
- all() - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
-
Represents collecting all elements
- allFor(INDArray) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
-
Generate an all index
equal to the rank of the given array
- ALLOC - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- alloc - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- allowsSpecifyOrdering() - Static method in class org.nd4j.linalg.factory.Nd4j
-
Backend specific:
Returns whether specifying the order
for the blas impl is allowed (cblas)
- 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 - 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
-
- 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.AbsValueGreaterThan
-
- apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.AbsValueGreaterThan
-
- 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.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.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
-
- 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, 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(INDArray, int...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- arr - Variable in class org.nd4j.linalg.api.parallel.TaskCreator.ForkJoinArrayINDArrayTask
-
- arr - Variable in class org.nd4j.linalg.api.parallel.TaskCreator.ForkJoinINDArrayTask
-
- 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
- asList() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- asList() - Method in class org.nd4j.linalg.dataset.DataSet
-
- assertColumns(INDArray, INDArray) - Static method in class org.nd4j.linalg.util.LinAlgExceptions
-
- assertColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- 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
-
- assertRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- 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
- 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 the value of the ndarray to the specified value
- 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(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
-
- 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
- attemptedToFindElementWiseStride - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- 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(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
-
- 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
-
- 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[], int, 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[], int, 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[], int, 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[], int) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- BaseComplexNDArray(IComplexNumber[], int[], int[], int, 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[], int) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- BaseComplexNDArray(IComplexNumber[], int[], int, char) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- BaseComplexNDArray(DataBuffer, int[], int, char) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- BaseComplexNDArray(DataBuffer, int[], int) - 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[], int, char) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- BaseComplexNDArray(float[], int[], int) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- BaseComplexNDArray(int[], int[], int) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
Construct an ndarray of the specified shape
with an empty data array
- BaseComplexNDArray(int[], int[], int, 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[], int) - 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[], int) - 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
-
- BaseCPUAccumulationTask - Class in org.nd4j.linalg.api.parallel.tasks.cpu.accumulation
-
- BaseCPUAccumulationTask(Accumulation, int, int, int, int, int, int, boolean) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.accumulation.BaseCPUAccumulationTask
-
Constructor for operating on subset of NDArray
- BaseCPUAccumulationTask(Accumulation, int, boolean) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.accumulation.BaseCPUAccumulationTask
-
Constructor for doing task on entire NDArray
- BaseCPUAccumulationTask(Accumulation, int, int, int, boolean) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.accumulation.BaseCPUAccumulationTask
-
Constructor for doing a 1d tensor first
- BaseCPUAction - Class in org.nd4j.linalg.api.parallel.tasks.cpu
-
- BaseCPUAction(int, int, int, int, int, int, int, int) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.BaseCPUAction
-
- BaseCPUAction(Op, int) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.BaseCPUAction
-
- BaseCPUAction(Op, int, int, int) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.BaseCPUAction
-
Constructor for doing a 1d tensor along dimension first
- BaseCPUIndexAccumulationTask - Class in org.nd4j.linalg.api.parallel.tasks.cpu.indexaccum
-
- BaseCPUIndexAccumulationTask(IndexAccumulation, int, int, int, int, int, int, int, boolean) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.indexaccum.BaseCPUIndexAccumulationTask
-
Constructor for operating on subset of NDArray
- BaseCPUIndexAccumulationTask(IndexAccumulation, int, boolean) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.indexaccum.BaseCPUIndexAccumulationTask
-
Constructor for doing task on entire NDArray
- BaseCPUIndexAccumulationTask(IndexAccumulation, int, int, int, boolean) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.indexaccum.BaseCPUIndexAccumulationTask
-
Constructor for doing a 1d tensor first
- BaseCPUScalarOpAction - Class in org.nd4j.linalg.api.parallel.tasks.cpu.scalar
-
- BaseCPUScalarOpAction(ScalarOp, int, int, int, int, int, int) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.scalar.BaseCPUScalarOpAction
-
Constructor for operating on subset of NDArray
- BaseCPUScalarOpAction(ScalarOp, int) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.scalar.BaseCPUScalarOpAction
-
Constructor for doing task on entire NDArray
- BaseCPUScalarOpAction(ScalarOp, int, int, int) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.scalar.BaseCPUScalarOpAction
-
Constructor for doing a 1d tensor first
- BaseCPUTask<V> - Class in org.nd4j.linalg.api.parallel.tasks.cpu
-
- BaseCPUTask(int, int, int, int, int, int, int, int) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.BaseCPUTask
-
- BaseCPUTask(Op, int) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.BaseCPUTask
-
- BaseCPUTask(Op, int, int, int) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.BaseCPUTask
-
Constructor for doing a 1d tensor along dimension first
- BaseCPUTransformOpAction - Class in org.nd4j.linalg.api.parallel.tasks.cpu.transform
-
- BaseCPUTransformOpAction(TransformOp, int, int, int, int, int, int, int, int) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.transform.BaseCPUTransformOpAction
-
Constructor for operating on subset of NDArray
- BaseCPUTransformOpAction(TransformOp, int) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.transform.BaseCPUTransformOpAction
-
Constructor for doing task on entire NDArray
- BaseCPUTransformOpAction(TransformOp, int, int, int) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.transform.BaseCPUTransformOpAction
-
Constructor for doing a 1d tensor first
- 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
-
- 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 oduble vversions.
- 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
-
- 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[], int, 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[], int, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- BaseNDArray(int[], int[], int, 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[], 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[], int, 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[], int, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- BaseNDArray(DataBuffer, int[], int[], int) - 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[], int) - 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[], int, 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[], int) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- BaseNDArray(int[], int[], int) - 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[], int) - 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[], int) - 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[], int, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Constructor for stride and offset
- BaseNDArray(double[], int[], int[], int) - 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
-
- 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
- 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
-
- BaseTask<V> - Class in org.nd4j.linalg.api.parallel.tasks
-
- BaseTask() - Constructor for class org.nd4j.linalg.api.parallel.tasks.BaseTask
-
- 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
-
- 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 interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator
-
Batch size
- 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.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
-
- benchmarkCreation() - Method in class org.nd4j.linalg.benchmark.TimeOperations
-
- benchMarkElementWiseAdd() - Method in class org.nd4j.linalg.benchmark.TimeOperations
-
- benchMarkElementWiseMul() - Method in class org.nd4j.linalg.benchmark.TimeOperations
-
- benchmarkRavel() - Method in class org.nd4j.linalg.benchmark.TimeOperations
-
- benchMarkScalarAdd() - Method in class org.nd4j.linalg.benchmark.TimeOperations
-
- benchMarkScalarMuli() - Method in class org.nd4j.linalg.benchmark.TimeOperations
-
- 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
- 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
-
- BLAS_OPS - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- 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
-
- 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
-
- blockUntilComplete() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.accumulation.CPUAccumulationAlongDimensionTask
-
- blockUntilComplete() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.accumulation.CPUAccumulations1dAction
-
- blockUntilComplete() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.accumulation.CPUAccumulationTask
-
- blockUntilComplete() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.accumulation.CPUAccumulationViaTensorTask
-
- blockUntilComplete() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.BaseCPUAction
-
- blockUntilComplete() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.indexaccum.CPUIndexAccumulationAlongDimensionTask
-
- blockUntilComplete() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.indexaccum.CPUIndexAccumulations1dAction
-
- blockUntilComplete() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.indexaccum.CPUIndexAccumulationTask
-
- blockUntilComplete() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.indexaccum.CPUIndexAccumulationViaTensorTask
-
- blockUntilComplete() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.misc.CPUCol2ImTask
-
- blockUntilComplete() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.misc.CPUIm2ColTask
-
- blockUntilComplete() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.vector.CpuBroadcastOp
-
- blockUntilComplete() - Method in interface org.nd4j.linalg.api.parallel.tasks.Task
-
Assuming invokeAsync() has been called, block until the execution completes
- BooleanIndexing - Class in org.nd4j.linalg.indexing
-
Boolean indexing
- BooleanIndexing() - Constructor for class org.nd4j.linalg.indexing.BooleanIndexing
-
- 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
- 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
-
- BroadcastDimensions - Class in org.nd4j.linalg.api.ops.impl.broadcast
-
Created by agibsonccc on 11/12/15.
- BroadcastDimensions() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastDimensions
-
- 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
-
- 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
- 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
-
- 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
-
- 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.indexing.conditions.ConditionBuilder
-
- 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
- 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
-
- C - Static variable in interface org.nd4j.linalg.factory.NDArrayFactory
-
- 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.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.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.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
-
- call() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.accumulation.CPUAccumulationAlongDimensionTask
-
- call() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.accumulation.CPUAccumulations1dAction
-
- call() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.accumulation.CPUAccumulationTask
-
- call() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.accumulation.CPUAccumulationViaTensorTask
-
- call() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.indexaccum.CPUIndexAccumulationAlongDimensionTask
-
- call() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.indexaccum.CPUIndexAccumulations1dAction
-
- call() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.indexaccum.CPUIndexAccumulationTask
-
- call() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.indexaccum.CPUIndexAccumulationViaTensorTask
-
- call() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.misc.CPUCol2ImTask
-
- call() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.misc.CPUIm2ColTask
-
- call() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.scalar.CPUScalarOpAction
-
- call() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.scalar.CPUScalarOpViaTensorAction
-
- call() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.transform.CPUTransformAlongDimensionTask
-
- call() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.transform.CPUTransformOpAction
-
- call() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.transform.CPUTransformOpViaTensorTask
-
- call() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.vector.CpuBroadcastOp
-
- call() - Method in interface org.nd4j.linalg.api.parallel.tasks.Task
-
Compute the result immediately, in the current thread
- 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
-
- checkGemm(INDArray, INDArray, INDArray, boolean, boolean, double, double, double, double) - Static method in class org.nd4j.linalg.checkutil.CheckUtil
-
- 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
-
- 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
-
- 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
-
- 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
-
- cleanedUp - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- cleanup() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- cleanup() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Cleanup resources
- clearNans(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Clear nans from an ndarray
- col - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.misc.CPUCol2ImTask
-
- 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, 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
- columns - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- 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)
- combine(GradientUpdaterAggregator) - Method in class org.nd4j.linalg.learning.AdaDelta.AdaDeltaAggregator
-
- combine(GradientUpdaterAggregator) - Method in class org.nd4j.linalg.learning.AdaGrad.AdaGradAggregator
-
- combine(GradientUpdaterAggregator) - Method in class org.nd4j.linalg.learning.Adam.AdamAggregator
-
- combine(GradientUpdaterAggregator) - Method in interface org.nd4j.linalg.learning.GradientUpdaterAggregator
-
Combine this GradientUpdaterAggregator with another GradientUpdaterAggregator.
- combine(GradientUpdaterAggregator) - Method in class org.nd4j.linalg.learning.Nesterovs.NesterovsAggregator
-
- combine(GradientUpdaterAggregator) - Method in class org.nd4j.linalg.learning.RmsProp.RmsPropAggregator
-
- combine(GradientUpdaterAggregator) - Method in class org.nd4j.linalg.learning.Sgd.SgdAggregator
-
- 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.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.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
-
- compareTo(StridePermutation) - Method in class org.nd4j.linalg.api.shape.StridePermutation
-
- 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, int) - 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, int) - 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, int) - 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
- compute() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.accumulation.CPUAccumulationAlongDimensionTask
-
- compute() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.accumulation.CPUAccumulations1dAction
-
- compute() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.accumulation.CPUAccumulationTask
-
- compute() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.accumulation.CPUAccumulationViaTensorTask
-
- compute() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.indexaccum.CPUIndexAccumulationAlongDimensionTask
-
- compute() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.indexaccum.CPUIndexAccumulations1dAction
-
- compute() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.indexaccum.CPUIndexAccumulationTask
-
- compute() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.indexaccum.CPUIndexAccumulationViaTensorTask
-
- compute() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.misc.CPUCol2ImTask
-
- compute() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.misc.CPUIm2ColTask
-
- compute() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.scalar.CPUScalarOpAction
-
- compute() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.scalar.CPUScalarOpViaTensorAction
-
- compute() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.transform.CPUTransformAlongDimensionTask
-
- compute() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.transform.CPUTransformOpAction
-
- compute() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.transform.CPUTransformOpViaTensorTask
-
- compute() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.vector.CpuBroadcastOp
-
- 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
- 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
-
1 in the ndarray if the element matches
the condition 0 otherwise
- 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
-
- 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).
- 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
-
- convertFromApacheMatrix(RealMatrix) - Static method in class org.nd4j.linalg.checkutil.CheckUtil
-
- convertToApacheMatrix(INDArray) - Static method in class org.nd4j.linalg.checkutil.CheckUtil
-
- 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
-
- copy() - Method in class org.nd4j.linalg.dataset.DataSet
-
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
- copyRealTo(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- 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
- 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
-
- coverAll - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.misc.CPUIm2ColTask
-
- CPUAccumulationAlongDimensionTask - Class in org.nd4j.linalg.api.parallel.tasks.cpu.accumulation
-
- CPUAccumulationAlongDimensionTask(Accumulation, int, int...) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.accumulation.CPUAccumulationAlongDimensionTask
-
- CPUAccumulations1dAction - Class in org.nd4j.linalg.api.parallel.tasks.cpu.accumulation
-
- CPUAccumulations1dAction(Accumulation, int, TensorCalculator, TensorCalculator, int, int, INDArray) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.accumulation.CPUAccumulations1dAction
-
- CPUAccumulationTask - Class in org.nd4j.linalg.api.parallel.tasks.cpu.accumulation
-
- CPUAccumulationTask(Accumulation, int, int, int, int, int, int, boolean) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.accumulation.CPUAccumulationTask
-
Constructor for operating on subset of NDArray
- CPUAccumulationTask(Accumulation, int, boolean) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.accumulation.CPUAccumulationTask
-
Constructor for doing task on entire NDArray
- CPUAccumulationTask(Accumulation, int, int, int, boolean) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.accumulation.CPUAccumulationTask
-
Constructor for doing a 1d tensor first
- CPUAccumulationViaTensorTask - Class in org.nd4j.linalg.api.parallel.tasks.cpu.accumulation
-
- CPUAccumulationViaTensorTask(Accumulation, int, boolean) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.accumulation.CPUAccumulationViaTensorTask
-
- CpuBroadcastOp - Class in org.nd4j.linalg.api.parallel.tasks.cpu.vector
-
- CpuBroadcastOp(BroadcastOp, int) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.vector.CpuBroadcastOp
-
- CPUCol2ImTask - Class in org.nd4j.linalg.api.parallel.tasks.cpu.misc
-
Parallel Col2Im implementation
- CPUCol2ImTask(INDArray, int, int, int, int, int, int, int) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.misc.CPUCol2ImTask
-
- CPUCol2ImTask(INDArray, INDArray, int, int, int, int, int, int, int, int, int, int, int) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.misc.CPUCol2ImTask
-
- CPUIm2ColTask - Class in org.nd4j.linalg.api.parallel.tasks.cpu.misc
-
Parallel Im2Col implementation
- CPUIm2ColTask(INDArray, int, int, int, int, int, int, boolean, int) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.misc.CPUIm2ColTask
-
- CPUIm2ColTask(INDArray, INDArray, int, int, int, int, int, int, int, int, int, int, int, int, int, int, boolean, int) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.misc.CPUIm2ColTask
-
- CPUIndexAccumulationAlongDimensionTask - Class in org.nd4j.linalg.api.parallel.tasks.cpu.indexaccum
-
- CPUIndexAccumulationAlongDimensionTask(IndexAccumulation, int, int[]) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.indexaccum.CPUIndexAccumulationAlongDimensionTask
-
- CPUIndexAccumulations1dAction - Class in org.nd4j.linalg.api.parallel.tasks.cpu.indexaccum
-
A class used specifically for IndexAccumulation along dimensions for 1d.
- CPUIndexAccumulations1dAction(IndexAccumulation, int, TensorCalculator, TensorCalculator, int, int, INDArray) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.indexaccum.CPUIndexAccumulations1dAction
-
- CPUIndexAccumulationTask - Class in org.nd4j.linalg.api.parallel.tasks.cpu.indexaccum
-
- CPUIndexAccumulationTask(IndexAccumulation, int, int, int, int, int, int, int, boolean) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.indexaccum.CPUIndexAccumulationTask
-
Constructor for operating on subset of NDArray
- CPUIndexAccumulationTask(IndexAccumulation, int, boolean) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.indexaccum.CPUIndexAccumulationTask
-
Constructor for doing task on entire NDArray
- CPUIndexAccumulationTask(IndexAccumulation, int, int, int, boolean) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.indexaccum.CPUIndexAccumulationTask
-
Constructor for doing a 1d tensor first
- CPUIndexAccumulationViaTensorTask - Class in org.nd4j.linalg.api.parallel.tasks.cpu.indexaccum
-
- CPUIndexAccumulationViaTensorTask(IndexAccumulation, int, boolean) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.indexaccum.CPUIndexAccumulationViaTensorTask
-
- CPUScalarOpAction - Class in org.nd4j.linalg.api.parallel.tasks.cpu.scalar
-
- CPUScalarOpAction(ScalarOp, int, int, int, int, int, int) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.scalar.CPUScalarOpAction
-
Constructor for operating on subset of NDArray
- CPUScalarOpAction(ScalarOp, int) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.scalar.CPUScalarOpAction
-
Constructor for doing task on entire NDArray
- CPUScalarOpAction(ScalarOp, int, int, int) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.scalar.CPUScalarOpAction
-
Constructor for doing a 1d tensor first
- CPUScalarOpViaTensorAction - Class in org.nd4j.linalg.api.parallel.tasks.cpu.scalar
-
- CPUScalarOpViaTensorAction(ScalarOp, int) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.scalar.CPUScalarOpViaTensorAction
-
- CPUTaskFactory - Class in org.nd4j.linalg.api.parallel.tasks.cpu
-
TaskFactory for CPU backends
- CPUTaskFactory() - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.CPUTaskFactory
-
- CPUTransformAlongDimensionTask - Class in org.nd4j.linalg.api.parallel.tasks.cpu.transform
-
- CPUTransformAlongDimensionTask(TransformOp, int, int...) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.transform.CPUTransformAlongDimensionTask
-
- CPUTransformOpAction - Class in org.nd4j.linalg.api.parallel.tasks.cpu.transform
-
- CPUTransformOpAction(TransformOp, int, int, int, int, int, int, int, int) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.transform.CPUTransformOpAction
-
- CPUTransformOpAction(TransformOp, int) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.transform.CPUTransformOpAction
-
- CPUTransformOpAction(TransformOp, int, int, int) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.transform.CPUTransformOpAction
-
Constructor for doing a 1d TAD first
- CPUTransformOpViaTensorTask - Class in org.nd4j.linalg.api.parallel.tasks.cpu.transform
-
- CPUTransformOpViaTensorTask(TransformOp, int) - Constructor for class org.nd4j.linalg.api.parallel.tasks.cpu.transform.CPUTransformOpViaTensorTask
-
- 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[], int) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- create(DataBuffer, int[], int[], int, char) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- create(DataBuffer, int[], int[], int) - 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[], int) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- create(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- create(DataBuffer, int[], int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- create(DataBuffer, int[], int[], int, char) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- create(DataBuffer, int[], int[], int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- create(int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- create(int[], int[], int) - 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(int[], DataBuffer.Type) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(int[], int[], int[], int) - 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[], int, 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[], int) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray with the specified shape
- create(float[], int[], int[], int) - 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[], int) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates an ndarray with the specified shape
- create(double[], int[], int[], int) - 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[], int) - 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, 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[], int) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(float[], char) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(float[], int[], int[], char, int) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(double[], char) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(double[], int[], int[], char, int) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(DataBuffer, int[], int[], char, int) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- create(int[], int[], int[], char, int) - 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[], int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(float[], int, int, int[], int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(double[], int, int, int[], int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(float[], int[], int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(double[], int[], int, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(float[], int[], int[], int) - 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[], int) - 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, 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, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(float[], int[], char, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(DataBuffer, int[], int[], int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(DataBuffer, int[], int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- create(DataBuffer, int[], int[], int, 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[], int, 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[], int, 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[], int, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates an ndarray with the specified shape
- create(float[], int[], int[], int, 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[], int, 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, 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[], int) - 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[], int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray with the specified shape
- create(float[], int, int, int[], int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(float[], int[], int[], int) - 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[], int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates an ndarray with the specified shape
- create(double[], int[], int[], int) - 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[], int) - 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[], int) - 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, 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[], int) - 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[], int, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(DataBuffer, int[], int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(int[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(DataBuffer, int[], int[], int, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(float[], int[], int, Character) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(float[], int, int, int[], int, 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[], int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(double[], int[], int[], int, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(int[], int[], int[], int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(int[], int[], int[], char, int) - 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, int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(DataBuffer, int[], int[], char, int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(double[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(double[], int[], int[], char, int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- create(int[], int[], int, 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) - 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) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
- createArrayFromShapeBuffer(DataBuffer, DataBuffer) - 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
- createBroadcastOp(String, INDArray, INDArray, INDArray, 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, 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, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a buffer equal of length prod(shape)
- createBuffer(ByteBuffer, DataBuffer.Type, int, 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, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a buffer based on the data type
- createBuffer(int[], int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a buffer equal of length prod(shape)
- createBuffer(int, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a buffer of the specified length based on the data type
- createBuffer(float[], int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a buffer based on the data type
- createBuffer(double[], int) - 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(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
- createComplex(int[], int[], int[], int) - 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[], int, char) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- createComplex(float[], int, int, int[], int) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(float[], int[], int[], int) - 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[], int) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(double[], int[], int[], int) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(int, int, int[], int) - 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, 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[], int, char) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a complex ndarray with the given data
- createComplex(double[], int[], int, char) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- createComplex(double[], int[], int) - 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[], int, 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[], int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(double[], int[], int[], int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(float[], int, int, int[], int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(double[], int, int, int[], int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(int, int, int[], int) - 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, 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[], int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createComplex(DataBuffer, int[], int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createComplex(DataBuffer, int[], int[], int, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createComplex(DataBuffer, int[], int, 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[], int, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(float[], int[], int[], int, 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[], int, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(double[], int[], int[], int, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Creates a complex ndarray with the specified shape
- createComplex(int, int, int[], int, 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, 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[], int, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create complex ndarray
- createComplex(double[], int[], int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createComplex(double[], int[], int, char) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createComplex(double[]) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createComplex(float[], int[], int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- createComplex(int, int, int[], int) - 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[], int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(DataBuffer, int, int, int[], int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(DataBuffer, int[], int[], int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(IComplexNumber[], int[], int[], int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(IComplexNumber[], int[], int[], int, 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[], int, 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[], int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Creates a complex ndarray with the specified shape
- createComplex(double[], int[], int[], int) - 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[], int) - 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[], int, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a complex ndarray with the given data
- createComplex(double[], int[], int, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createComplex(DataBuffer, int[], int, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createComplex(double[], int[], int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createComplex(DataBuffer, int[], int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createComplex(float[], int[], int, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createComplex(float[], int[], int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createComplex(float[], int[], int[], int, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createComplex(float[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createComplex(float[], int[], int[], int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createComplex(DataBuffer, int[], int[], int, char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createComplex(float[], Character) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createComplex(int[], int[], int[], int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
- createComplex(int[], int[], int, 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
- 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) - 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) - Method in interface org.nd4j.linalg.api.ops.factory.OpFactory
-
Index accumulation operation
- 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
-
- createShapeInformation(int[], int[], int, int, char) - Method in class org.nd4j.linalg.api.ndarray.BaseShapeInfoProvider
-
- createShapeInformation(int[], int[], int, int, char) - Method in interface org.nd4j.linalg.api.ndarray.ShapeInfoProvider
-
- createShapeInformation(int[], int[], int, 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
- createSubset(int) - Method in class org.nd4j.linalg.learning.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) - 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
-
- 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
- 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
-
- 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
-
Cumulative sum along a dimension (in place)
- 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
-
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
-
- cursor() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator
-
- 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.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.ExistingMiniBatchDataSetIterator
-
- cursor() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
-
- cursor() - Method in class org.nd4j.linalg.dataset.ViewIterator
-
- 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() - 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
-
- 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.
- 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.
- DataSetPreProcessor - Interface in org.nd4j.linalg.dataset.api
-
Pre process a dataset
- 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
-
- DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
-
Default inverse cumulative probability accuracy.
- DEFAULT_NAME - Static variable in class org.nd4j.linalg.api.ops.TadCollapseAccumulation
-
- 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
-
- DefaultParallelExecutioner - Class in org.nd4j.linalg.api.parallel
-
Parallel executioner.
- DefaultParallelExecutioner(ForkJoinPool) - Constructor for class org.nd4j.linalg.api.parallel.DefaultParallelExecutioner
-
- DefaultParallelExecutioner(ExecutorService) - Constructor for class org.nd4j.linalg.api.parallel.DefaultParallelExecutioner
-
- DefaultParallelExecutioner() - Constructor for class org.nd4j.linalg.api.parallel.DefaultParallelExecutioner
-
- DefaultParallelExecutionProvider - Class in org.nd4j.linalg.api.parallel
-
Created by agibsonccc on 9/19/15.
- DefaultParallelExecutionProvider() - Constructor for class org.nd4j.linalg.api.parallel.DefaultParallelExecutionProvider
-
- DefaultRandom - Class in org.nd4j.linalg.api.rng
-
Apache commons based random number generation
- 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
-
- DefaultTaskExecutor - Class in org.nd4j.linalg.api.parallel.tasks
-
Default TaskExecutor based on a
(a) ForkJoinPool (for CPU tasks that are ForkJoin RecursiveTask/RecursiveAction, for example)
(b) ThreadPoolExecutor (for all other tasks)
number of threads set to the number of processor (cores) by default, as per the
- DefaultTaskExecutor() - Constructor for class org.nd4j.linalg.api.parallel.tasks.DefaultTaskExecutor
-
- 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
.
- depthFrom - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.misc.CPUCol2ImTask
-
- depthFrom - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.misc.CPUIm2ColTask
-
- depthTo - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.misc.CPUCol2ImTask
-
- depthTo - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.misc.CPUIm2ColTask
-
- derivative() - Method in class org.nd4j.linalg.api.ops.BaseTransformOp
-
- 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.HardTanh
-
- derivative() - Method in class org.nd4j.linalg.api.ops.impl.transforms.LeakyReLU
-
- derivative() - Method in class org.nd4j.linalg.api.ops.impl.transforms.RectifedLinear
-
- 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.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.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
-
- DESTROYED - Static variable in interface org.nd4j.linalg.api.instrumentation.Instrumentation
-
- 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
-
- dger(char, int, int, double, INDArray, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- dgetrf(int, int, double[], int, int[], int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
- dgetri(int, double[], int, int[], double[], int, int) - 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
-
- dimensions - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.accumulation.CPUAccumulationAlongDimensionTask
-
- dimensions - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.indexaccum.CPUIndexAccumulationAlongDimensionTask
-
- dimensions - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.transform.CPUTransformAlongDimensionTask
-
- 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.
- 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
-
- 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
-
- 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)
- dnrm2(int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- doAccumulationOp(Accumulation) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- 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
- doBroadcastOp(BroadcastOp) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- 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
-
- doIndexAccumulationOp(IndexAccumulation) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- doInnerFft(IComplexNDArray, int[], int[], boolean) - Method in class org.nd4j.linalg.fft.BaseFFTInstance
-
- 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
- doScalarOp(ScalarOp) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- 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)
- doTensorFirst - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.BaseCPUAction
-
- doTensorFirst(Op) - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.BaseCPUAction
-
- doTensorFirst - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.BaseCPUTask
-
- doTensorFirst(Op) - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.BaseCPUTask
-
- doTransformOp(TransformOp) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- 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)
- 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
-
- 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 - Variable in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
- 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
-
- 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
-
Return a copy of this ndarray
- dup(char) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Return a copy of this ndarray, where the returned ndarray has the specified order
- 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
- elementOffset - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.indexaccum.BaseCPUIndexAccumulationTask
-
- 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(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
-
- 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
-
- empty() - Static method in class org.nd4j.linalg.dataset.DataSet
-
Returns a single dataset
- 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.api.parallel.DefaultParallelExecutioner
-
- ENABLED - Static variable in class org.nd4j.linalg.executors.ExecutorServiceProvider
-
- 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
- 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 an ndarray with 1 if the element is epsilon equals
- eps(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
epsilon equals than comparison:
If the given number is less than the
comparison number the item is 0 otherwise 1
- 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 an ndarray with 1 if the element is epsilon equals
- epsi(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
In place epsilon equals than comparison:
If the given number is less than the
comparison number the item is 0 otherwise 1
- EpsilonEquals - Class in org.nd4j.linalg.indexing.conditions
-
Created by agibsonccc on 10/8/14.
- EpsilonEquals(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.EpsilonEquals
-
- EpsilonEquals(IComplexNumber) - Constructor for class org.nd4j.linalg.indexing.conditions.EpsilonEquals
-
- 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 an ndarray with 1 if the element is less than
the given element 0 other wise
- eq(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
equal than comparison:
If the given number is less than the
comparison number the item is 0 otherwise 1
- 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
-
In place less than comparison:
If the given number is less than the
comparison number the item is 0 otherwise 1
- eqi(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
In place equal than comparison:
If the given number is less than the
comparison number the item is 0 otherwise 1
- 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.dataset.DataSet
-
- 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
-
- EqualsCondition - Class in org.nd4j.linalg.indexing.conditions
-
Created by agibsonccc on 10/8/14.
- EqualsCondition(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.EqualsCondition
-
- EqualsCondition(IComplexNumber) - Constructor for class org.nd4j.linalg.indexing.conditions.EqualsCondition
-
- 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
-
- 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
-
- Event - Enum in org.nd4j.linalg.heartbeat.reports
-
- exampleFrom - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.misc.CPUCol2ImTask
-
- exampleFrom - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.misc.CPUIm2ColTask
-
- 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
-
- exampleTo - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.misc.CPUCol2ImTask
-
- exampleTo - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.misc.CPUIm2ColTask
-
- 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(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() - 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.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.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.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(int...) - 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(Runnable) - Method in class org.nd4j.linalg.api.parallel.DefaultParallelExecutioner
-
- exec(ForkJoinTask<T>) - Method in class org.nd4j.linalg.api.parallel.DefaultParallelExecutioner
-
- exec(Runnable) - Method in interface org.nd4j.linalg.api.parallel.ParallelExecutioner
-
- exec(ForkJoinTask<T>) - Method in interface org.nd4j.linalg.api.parallel.ParallelExecutioner
-
- exec() - Method in class org.nd4j.linalg.api.parallel.TaskCreator.ForkJoinArrayINDArrayTask
-
- exec() - Method in class org.nd4j.linalg.api.parallel.TaskCreator.ForkJoinINDArrayTask
-
- 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
- execBasedOnArraysAlongDimension(INDArray, Accumulation, OpExecutioner, int...) - Method in class org.nd4j.linalg.api.parallel.DefaultParallelExecutioner
-
- execBasedOnArraysAlongDimension(INDArray, Op, OpExecutioner, int...) - Method in class org.nd4j.linalg.api.parallel.DefaultParallelExecutioner
-
- execBasedOnArraysAlongDimension(INDArray, TaskCreator.INDArrayTask, int...) - Method in class org.nd4j.linalg.api.parallel.DefaultParallelExecutioner
-
- execBasedOnArraysAlongDimension(INDArray[], TaskCreator.INDArrayTask, int...) - Method in class org.nd4j.linalg.api.parallel.DefaultParallelExecutioner
-
- execBasedOnArraysAlongDimension(INDArray, Accumulation, OpExecutioner, int...) - Method in interface org.nd4j.linalg.api.parallel.ParallelExecutioner
-
- execBasedOnArraysAlongDimension(INDArray, Op, OpExecutioner, int...) - Method in interface org.nd4j.linalg.api.parallel.ParallelExecutioner
-
- execBasedOnArraysAlongDimension(INDArray, TaskCreator.INDArrayTask, int...) - Method in interface org.nd4j.linalg.api.parallel.ParallelExecutioner
-
- execBasedOnArraysAlongDimension(INDArray[], TaskCreator.INDArrayTask, int...) - Method in interface org.nd4j.linalg.api.parallel.ParallelExecutioner
-
- execBasedOnSlices(INDArray, Op, OpExecutioner) - Method in class org.nd4j.linalg.api.parallel.DefaultParallelExecutioner
-
- execBasedOnSlices(INDArray, TaskCreator.INDArrayTask) - Method in class org.nd4j.linalg.api.parallel.DefaultParallelExecutioner
-
- execBasedOnSlices(INDArray, Op, OpExecutioner) - Method in interface org.nd4j.linalg.api.parallel.ParallelExecutioner
-
- execBasedOnSlices(INDArray, TaskCreator.INDArrayTask) - Method in interface org.nd4j.linalg.api.parallel.ParallelExecutioner
-
- executeAsync(Task<V>) - Method in class org.nd4j.linalg.api.parallel.tasks.DefaultTaskExecutor
-
- executeAsync(Task<V>) - Method in interface org.nd4j.linalg.api.parallel.tasks.TaskExecutor
-
Schedule a task for asynchronous execution
- executed - Variable in class org.nd4j.linalg.api.ops.impl.transforms.VectorFFT
-
- executed - Variable in class org.nd4j.linalg.api.ops.impl.transforms.VectorIFFT
-
- executed - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.BaseCPUAction
-
- executed - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.BaseCPUTask
-
- 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
-
- EXECUTOR_SERVICE_PROVIDER - Static variable in interface org.nd4j.linalg.api.parallel.ParallelExecutionProvider
-
- 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
-
Create with the given root directory
- 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
- expi(IComplexNDArray) - Static method in class org.nd4j.linalg.util.ComplexNDArrayUtil
-
Returns the exponential of a complex ndarray
- 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 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
- 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
- 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
-
- 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
- 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(int) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- get(int[]) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- 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
- 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
-
- getAccumulationTask(Accumulation, boolean) - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.CPUTaskFactory
-
- getAccumulationTask(Accumulation) - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.CPUTaskFactory
-
- getAccumulationTask(Accumulation, int...) - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.CPUTaskFactory
-
- getAccumulationTask(Accumulation, boolean) - Method in interface org.nd4j.linalg.api.parallel.tasks.TaskFactory
-
- getAccumulationTask(Accumulation) - Method in interface org.nd4j.linalg.api.parallel.tasks.TaskFactory
-
- getAccumulationTask(Accumulation, int...) - Method in interface org.nd4j.linalg.api.parallel.tasks.TaskFactory
-
- getAggregator(boolean) - Method in class org.nd4j.linalg.learning.AdaDelta
-
- getAggregator(boolean) - Method in class org.nd4j.linalg.learning.AdaGrad
-
- getAggregator(boolean) - Method in class org.nd4j.linalg.learning.Adam
-
- getAggregator(boolean) - Method in interface org.nd4j.linalg.learning.GradientUpdater
-
Get a GradientUpdaterAggregator.
- getAggregator(boolean) - Method in class org.nd4j.linalg.learning.Nesterovs
-
- getAggregator(boolean) - Method in class org.nd4j.linalg.learning.RmsProp
-
- getAggregator(boolean) - Method in class org.nd4j.linalg.learning.Sgd
-
- 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.
- 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.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.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
-
- getArr() - Method in class org.nd4j.linalg.indexing.ShapeOffsetResolution
-
- getBaseOffset() - Method in interface org.nd4j.linalg.api.shape.tensor.TensorCalculator
-
- getBaseOffset() - Method in class org.nd4j.linalg.api.shape.tensor.TensorCalculator1d
-
- 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
- getBlasWrapper() - Static method in class org.nd4j.linalg.factory.Nd4j
-
- getBroadcastOpAction(BroadcastOp) - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.CPUTaskFactory
-
- getBroadcastOpAction(BroadcastOp) - Method in interface org.nd4j.linalg.api.parallel.tasks.TaskFactory
-
- 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)
- getCol2ImTask(INDArray, int, int, int, int, int, int) - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.CPUTaskFactory
-
- getCol2ImTask(INDArray, int, int, int, int, int, int) - Method in interface org.nd4j.linalg.api.parallel.tasks.TaskFactory
-
- 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
-
Optional column names of the data transform, this is mainly used
for interpeting what columns are in the dataset
- 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 a list of specified columns
- 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
- 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()
- getConvolution() - Static method in class org.nd4j.linalg.factory.Nd4j
-
Get the convolution singleton
- 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
-
- getDefaultTaskFactoryForBackend(Nd4jBackend) - Static method in class org.nd4j.linalg.api.parallel.tasks.TaskFactoryProvider
-
- 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.
- 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
-
- getDimensions(int[]) - Static method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastDimensions
-
Determine the valid broad cast dimensions
based on which values in the
given shape are equal to 1
- 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
-
- getDouble(int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- getDouble(int, int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- 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(int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getDoubleUnsafe(int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Get a scalar
at the given linear offset
- getElementWiseStrideForTensor() - Method in interface org.nd4j.linalg.api.shape.tensor.TensorCalculator
-
- getElementWiseStrideForTensor() - Method in class org.nd4j.linalg.api.shape.tensor.TensorCalculator1d
-
- getEnabled() - Static method in class org.nd4j.linalg.api.parallel.DefaultParallelExecutioner
-
- getEntries() - Method in class org.nd4j.linalg.api.instrumentation.InMemoryInstrumentation
-
- 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)
- getFeatures() - Method in interface org.nd4j.linalg.dataset.api.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
-
- 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 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
-
- 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.AdaDelta
-
Get the updated gradient for the given gradient
and also update the state of ada delta.
- getGradient(INDArray, int) - Method in class org.nd4j.linalg.learning.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.AdaGrad
-
- getGradient(INDArray, int, int[]) - Method in class org.nd4j.linalg.learning.AdaGrad
-
- getGradient(INDArray, int) - Method in class org.nd4j.linalg.learning.Adam
-
Calculate the update based on the given gradient
- getGradient(INDArray, int) - Method in interface org.nd4j.linalg.learning.GradientUpdater
-
Modify the gradient
to be an update
- getGradient(INDArray, int) - Method in class org.nd4j.linalg.learning.Nesterovs
-
Get the nesterov update
- getGradient(INDArray, int) - Method in class org.nd4j.linalg.learning.RmsProp
-
- getGradient(INDArray, int) - Method in class org.nd4j.linalg.learning.Sgd
-
- getId() - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
-
- getIfftOp(INDArray, int) - Method in class org.nd4j.linalg.fft.DefaultFFTInstance
-
- getIm2ColTask(INDArray, int, int, int, int, int, int, boolean) - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.CPUTaskFactory
-
- getIm2ColTask(INDArray, int, int, int, int, int, int, boolean) - Method in interface org.nd4j.linalg.api.parallel.tasks.TaskFactory
-
- 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
- getIndexAccumulationTask(IndexAccumulation) - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.CPUTaskFactory
-
- getIndexAccumulationTask(IndexAccumulation, int...) - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.CPUTaskFactory
-
- getIndexAccumulationTask(IndexAccumulation) - Method in interface org.nd4j.linalg.api.parallel.tasks.TaskFactory
-
- getIndexAccumulationTask(IndexAccumulation, int...) - Method in interface org.nd4j.linalg.api.parallel.tasks.TaskFactory
-
- getInstance() - Static method in class org.nd4j.linalg.api.parallel.tasks.DefaultTaskExecutor
-
- getInstance() - Static method in class org.nd4j.linalg.heartbeat.Heartbeat
-
- 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
-
- getLabelNames() - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- getLabelNames() - 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 interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator
-
Get dataset iterator record reader labels
- 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 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
-
- 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
-
- 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
-
- getNdArrayType() - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
-
- 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
-
- getNumTensors() - Method in interface org.nd4j.linalg.api.shape.tensor.TensorCalculator
-
- getNumTensors() - Method in class org.nd4j.linalg.api.shape.tensor.TensorCalculator1d
-
- 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(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
- getOffset() - Method in class org.nd4j.linalg.indexing.ShapeOffsetResolution
-
- getOffsetForTensor(int) - Method in interface org.nd4j.linalg.api.shape.tensor.TensorCalculator
-
- getOffsetForTensor(int) - Method in class org.nd4j.linalg.api.shape.tensor.TensorCalculator1d
-
- getOffsets() - Method in class org.nd4j.linalg.indexing.ShapeOffsetResolution
-
- getOpFactory() - Static method in class org.nd4j.linalg.factory.Nd4j
-
Get the operation factory
- 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
- getParallelThreshold() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.CPUTaskFactory
-
Get the current threshold for parallel execution of tasks
- 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
-
- getProbabilityOfSuccess() - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
-
Access the probability of success for this distribution.
- getRandom() - Static method in class org.nd4j.linalg.factory.Nd4j
-
Get the current random generator
- getRandomGenerator() - Method in class org.nd4j.linalg.api.rng.DefaultRandom
-
- getRange(int, int) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- getRange(int, int) - Method in class org.nd4j.linalg.dataset.DataSet
-
- getRawResult() - Method in class org.nd4j.linalg.api.parallel.TaskCreator.ForkJoinArrayINDArrayTask
-
- getRawResult() - Method in class org.nd4j.linalg.api.parallel.TaskCreator.ForkJoinINDArrayTask
-
- 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
- getReferences() - Method in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
-
- getReferences() - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
-
- 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(int, int, INDArray, int, int[], int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
- getrf(int, int, INDArray, int, int[], int) - Method in interface org.nd4j.linalg.api.blas.Lapack
-
LU decomposiiton of a matrix
- getri(int, INDArray, int, int[], INDArray, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
- 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 a list of rows
- 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
- getScalarAction(ScalarOp) - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.CPUTaskFactory
-
- getScalarAction(ScalarOp) - Method in interface org.nd4j.linalg.api.parallel.tasks.TaskFactory
-
- 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.
- getService() - Method in class org.nd4j.linalg.api.parallel.DefaultParallelExecutionProvider
-
- getService() - Method in interface org.nd4j.linalg.api.parallel.ParallelExecutionProvider
-
- getShape() - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
-
- getShape() - Method in interface org.nd4j.linalg.api.shape.tensor.TensorCalculator
-
- getShape() - Method in class org.nd4j.linalg.api.shape.tensor.TensorCalculator1d
-
- getShapeInfoProvider() - Static method in class org.nd4j.linalg.factory.Nd4j
-
- getShapes() - Method in class org.nd4j.linalg.indexing.ShapeOffsetResolution
-
- 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.
- 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.
- getStatus() - Method in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
-
- getStd() - Method in class org.nd4j.linalg.dataset.api.iterator.StandardScaler
-
- 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
-
- getStride() - Method in interface org.nd4j.linalg.api.shape.tensor.TensorCalculator
-
- getStride() - Method in class org.nd4j.linalg.api.shape.tensor.TensorCalculator1d
-
- 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()
- getStrides() - Method in class org.nd4j.linalg.indexing.ShapeOffsetResolution
-
- 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
-
- 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.
- getTaskExecutor() - Static method in class org.nd4j.linalg.api.parallel.tasks.TaskExecutorProvider
-
- getTaskFactory() - Static method in class org.nd4j.linalg.factory.Nd4j
-
Get the task factory
- 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
-
- getTensorCalculator(INDArray, int) - Static method in class org.nd4j.linalg.api.shape.tensor.TensorCalculatorFactory
-
Tensor calculator: 1d
- getTensorCalculator(int, int[], int[], int) - Static method in class org.nd4j.linalg.api.shape.tensor.TensorCalculatorFactory
-
- getTensorLength() - Method in interface org.nd4j.linalg.api.shape.tensor.TensorCalculator
-
- getTensorLength() - Method in class org.nd4j.linalg.api.shape.tensor.TensorCalculator1d
-
- getTest() - Method in class org.nd4j.linalg.dataset.SplitTestAndTrain
-
- getTimestamp() - Method in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
-
- getTrailingOnes() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- getTrailingOnes() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- getTrain() - Method in class org.nd4j.linalg.dataset.SplitTestAndTrain
-
- getTransformAction(TransformOp) - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.CPUTaskFactory
-
- getTransformAction(TransformOp, int...) - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.CPUTaskFactory
-
- getTransformAction(TransformOp) - Method in interface org.nd4j.linalg.api.parallel.tasks.TaskFactory
-
- getTransformAction(TransformOp, int...) - Method in interface org.nd4j.linalg.api.parallel.tasks.TaskFactory
-
- 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
-
- getUpdater() - Method in class org.nd4j.linalg.learning.AdaDelta.AdaDeltaAggregator
-
- getUpdater() - Method in class org.nd4j.linalg.learning.AdaGrad.AdaGradAggregator
-
- getUpdater() - Method in class org.nd4j.linalg.learning.Adam.AdamAggregator
-
- getUpdater() - Method in interface org.nd4j.linalg.learning.GradientUpdaterAggregator
-
Get the final updater after aggregation
- getUpdater() - Method in class org.nd4j.linalg.learning.Nesterovs.NesterovsAggregator
-
- getUpdater() - Method in class org.nd4j.linalg.learning.RmsProp.RmsPropAggregator
-
- getUpdater() - Method in class org.nd4j.linalg.learning.Sgd.SgdAggregator
-
- GradientUpdater - Interface in org.nd4j.linalg.learning
-
Gradient modifications:
Calculates an update and tracks related
information for gradient changes over time
for handling updates.
- GradientUpdaterAggregator - Interface in org.nd4j.linalg.learning
-
The GradientUpdaterAggregator is used (typically in distributed learning scenarios) to combine
separate GradientUpdater instances for different networks (usually by averaging).
- 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(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.GreaterThan
-
- GreaterThan(IComplexNumber) - Constructor for class org.nd4j.linalg.indexing.conditions.GreaterThan
-
- greaterThanOEqual(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
-
- 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 - Class in org.nd4j.linalg.indexing.conditions
-
Created by agibsonccc on 10/8/14.
- 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
- 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
-
Greater than boolean (copying)(
- gt(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
greater than comparison:
If the given number is less than the
comparison number the item is 0 otherwise 1
- 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
-
In place greater than comparison:
If the given number is less than the
comparison number the item is 0 otherwise 1
- gti(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
In place greater than comparison:
If the given number is less than the
comparison number the item is 0 otherwise 1
- 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.
- 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
-
- 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
-
- 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
- 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
- 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
-
- img - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.misc.CPUIm2ColTask
-
- imgHeight - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.misc.CPUCol2ImTask
-
- imgOut - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.misc.CPUCol2ImTask
-
- imgWidth - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.misc.CPUCol2ImTask
-
- 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
-
- incrX - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.BaseCPUAction
-
- incrX - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.BaseCPUTask
-
- incrY - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.BaseCPUAction
-
- incrY - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.BaseCPUTask
-
- incrZ - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.BaseCPUAction
-
- incrZ - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.BaseCPUTask
-
- 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
-
- 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
-
- Indices - Class in org.nd4j.linalg.indexing
-
Indexing util.
- Indices() - Constructor for class org.nd4j.linalg.indexing.Indices
-
- 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.Bias
-
- 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.CopyOp
-
- 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.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.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.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.LogSoftMax
-
- 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.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, int, 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(int, int) - Method in interface org.nd4j.linalg.indexing.INDArrayIndex
-
Initiailize based on the specified begin and end
- init(INDArray, int, int) - Method in class org.nd4j.linalg.indexing.IntervalIndex
-
- init(INDArray, int) - Method in class org.nd4j.linalg.indexing.IntervalIndex
-
- init(int, int) - Method in class org.nd4j.linalg.indexing.IntervalIndex
-
- init(INDArray, int, int) - Method in class org.nd4j.linalg.indexing.NDArrayIndex
-
- init(INDArray, int) - Method in class org.nd4j.linalg.indexing.NDArrayIndex
-
- init(int, int) - Method in class org.nd4j.linalg.indexing.NDArrayIndex
-
- init(INDArray, int, int) - Method in class org.nd4j.linalg.indexing.NDArrayIndexAll
-
- init(INDArray, int, int) - Method in class org.nd4j.linalg.indexing.NDArrayIndexEmpty
-
- init(INDArray, int) - Method in class org.nd4j.linalg.indexing.NDArrayIndexEmpty
-
- init(int, int) - Method in class org.nd4j.linalg.indexing.NDArrayIndexEmpty
-
- init(INDArray, int, int) - Method in class org.nd4j.linalg.indexing.NewAxis
-
- init(INDArray, int) - Method in class org.nd4j.linalg.indexing.NewAxis
-
- init(int, int) - Method in class org.nd4j.linalg.indexing.NewAxis
-
- init(INDArray, int, int) - Method in class org.nd4j.linalg.indexing.PointIndex
-
- init(INDArray, int) - Method in class org.nd4j.linalg.indexing.PointIndex
-
- init(int, int) - Method in class org.nd4j.linalg.indexing.PointIndex
-
- init(INDArray, int, int) - Method in class org.nd4j.linalg.indexing.SpecifiedIndex
-
- init(INDArray, int) - Method in class org.nd4j.linalg.indexing.SpecifiedIndex
-
- init(int, int) - Method in class org.nd4j.linalg.indexing.SpecifiedIndex
-
- initContext() - Method in class org.nd4j.linalg.factory.Nd4j
-
Initializes nd4j
- initializeCurrFromList(List<DataSet>) - Method in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher
-
Initializes this data transform fetcher from the passed in datasets
- initWithBackend(Nd4jBackend) - Method in class org.nd4j.linalg.factory.Nd4j
-
Initialize with the specific backend
- 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 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.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.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
-
- 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
-
- interval(int, int, int) - 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(int, int) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
-
Generates an interval from begin (inclusive) to end (exclusive)
- 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, int) - Constructor for class org.nd4j.linalg.indexing.IntervalIndex
-
- 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
- InvertMatrix - Class in org.nd4j.linalg.inverse
-
Created by agibsoncccc on 11/30/15.
- InvertMatrix() - Constructor for class org.nd4j.linalg.inverse.InvertMatrix
-
- invokeAsync() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.accumulation.CPUAccumulations1dAction
-
- invokeAsync() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.BaseCPUAction
-
- invokeAsync() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.BaseCPUTask
-
- invokeAsync() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.indexaccum.CPUIndexAccumulations1dAction
-
- invokeAsync() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.misc.CPUCol2ImTask
-
- invokeAsync() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.misc.CPUIm2ColTask
-
- invokeAsync() - Method in interface org.nd4j.linalg.api.parallel.tasks.Task
-
Schedule for asyncronous execution; returns immediately
- invokeBlocking() - Method in class org.nd4j.linalg.api.parallel.tasks.BaseTask
-
- invokeBlocking() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.accumulation.CPUAccumulations1dAction
-
- invokeBlocking() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.BaseCPUAction
-
- invokeBlocking() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.BaseCPUTask
-
- invokeBlocking() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.indexaccum.CPUIndexAccumulations1dAction
-
- invokeBlocking() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.misc.CPUCol2ImTask
-
- invokeBlocking() - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.misc.CPUIm2ColTask
-
- invokeBlocking() - Method in interface org.nd4j.linalg.api.parallel.tasks.Task
-
Schedule for execution, and block until completion
- 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
-
- isBiasCorrected() - Method in class org.nd4j.linalg.api.ops.impl.accum.Variance
-
- isCleanedUp() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- 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
- 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?
- 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.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.IsMax
-
- isExecSpecial() - Method in class org.nd4j.linalg.api.ops.impl.transforms.LogSoftMax
-
- 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
- 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
-
- 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
-
- isMatrix - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- 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
-
- 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.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
-
- 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 - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- 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
- 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.
- isValid() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
Returns whether the ndarray is valid or not
- isVector - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- 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
- isWrapAround - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- isWrapAround() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- 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
- 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
-
- 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
-
- izamax(int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
-
- majorStride() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- 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
-
- 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
- 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
- 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) - 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
-
Stabilize to be within a range of k
- max(INDArray, double) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
Stabilize to be within a range of k
- 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
-
- 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
-
- 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
-
- 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
-
- 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(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 - 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
-
- merge(List<DataSet>, boolean) - Static method in class org.nd4j.linalg.dataset.DataSet
-
Merge the list of datasets in to one list.
- 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.
- 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
-
- 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
-
- 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
-
- 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
- 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
- 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)
- 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(INDArray, INDArray) - Constructor for class org.nd4j.linalg.dataset.MultiDataSet
-
MultiDataSet constructor with single features/labels input, no 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
-
- MultiDataSetPreProcessor - Interface in org.nd4j.linalg.dataset.api
-
PreProcessor interface for MultiDataSets
- 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
-
- multiplyBy(double) - Method in class org.nd4j.linalg.dataset.DataSet
-
- n - Variable in class org.nd4j.linalg.api.ops.BaseOp
-
- n() - Method in class org.nd4j.linalg.api.ops.BaseOp
-
- n() - Method in interface org.nd4j.linalg.api.ops.Op
-
The number of elements to do a op over
- n - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.BaseCPUAction
-
- n - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.BaseCPUTask
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.accum.Bias
-
- 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.ManhattanDistance
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.accum.Dot
-
- 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.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.StandardDeviation
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.accum.Sum
-
- 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.BroadcastMulOp
-
- 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.indexaccum.IAMax
-
- 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.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.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.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.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.arithmetic.AddOp
-
- 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.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.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.ATan
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Ceil
-
- 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.Cos
-
- 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.HardTanh
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.HardTanhDerivative
-
- 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.Log
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.LogSoftMax
-
- 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.OneMinus
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Ones
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Pow
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.RectifedLinear
-
- name() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Round
-
- 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.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.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 interface org.nd4j.linalg.api.ops.Op
-
The name of this operation
- name() - Method in class org.nd4j.linalg.api.ops.TadCollapseAccumulation
-
- 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
-
- NDARRAY_FACTORY_CLASS - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- 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
- NDArrayCreationUtil() - Constructor for class org.nd4j.linalg.checkutil.NDArrayCreationUtil
-
- 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
-
- NDArrayMath - Class in org.nd4j.linalg.util
-
- NDArrayMath() - Constructor for class org.nd4j.linalg.util.NDArrayMath
-
- NDArrayStrings - Class in org.nd4j.linalg.string
-
- NDArrayStrings(String) - Constructor for class org.nd4j.linalg.string.NDArrayStrings
-
- NDArrayStrings() - Constructor for class org.nd4j.linalg.string.NDArrayStrings
-
- NDArrayUtil - Class in org.nd4j.linalg.util
-
Created by agibsonccc on 2/26/16.
- NDArrayUtil() - Constructor for class org.nd4j.linalg.util.NDArrayUtil
-
- 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
-
Not equal
- neq(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- 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
-
In place not equal
- neqi(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- Nesterovs - Class in org.nd4j.linalg.learning
-
Nesterov's momentum.
- Nesterovs(double, double) - Constructor for class org.nd4j.linalg.learning.Nesterovs
-
- Nesterovs(double) - Constructor for class org.nd4j.linalg.learning.Nesterovs
-
- Nesterovs.NesterovsAggregator - Class in org.nd4j.linalg.learning
-
- NesterovsAggregator() - Constructor for class org.nd4j.linalg.learning.Nesterovs.NesterovsAggregator
-
- 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
-
- 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
- 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 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 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(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
-
- 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() - 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 gaussian number ndarray
of the specified shape
- 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.
- 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
-
- 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 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
-
- 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
-
- 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 along the specified dimension
- 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
-
- 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(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() - Method in class org.nd4j.linalg.dataset.DataSet
-
- normalizeMatrix(INDArray) - Static method in class org.nd4j.linalg.util.FeatureUtil
-
- 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
-
Subtract by the column means and divide by the standard deviation
- 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 normmax along the specified dimension
- 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
-
- 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
-
- 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
-
- 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
-
- 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 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.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.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
-
- 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.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
-
- numLeadingOnes - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- 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
-
- numOutcomes - Variable in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher
-
- numOutcomes() - Method in class org.nd4j.linalg.dataset.DataSet
-
- 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
-
- numTrailingOnes - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- 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
- padHeight - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.misc.CPUCol2ImTask
-
- padHeight - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.misc.CPUIm2ColTask
-
- padWidth - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.misc.CPUCol2ImTask
-
- padWidth - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.misc.CPUIm2ColTask
-
- padWithZeros(IComplexNDArray, int[]) - Static method in class org.nd4j.linalg.util.ComplexNDArrayUtil
-
Pads an ndarray with zeros
- PARALLEL_THRESHOLD - Static variable in class org.nd4j.linalg.api.parallel.tasks.cpu.CPUTaskFactory
-
- parallelEnabled() - Method in class org.nd4j.linalg.api.parallel.DefaultParallelExecutioner
-
- parallelEnabled() - Method in interface org.nd4j.linalg.api.parallel.ParallelExecutioner
-
Whether the parallel execution is enabled
- parallelExecutioner() - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- parallelExecutioner() - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
-
- ParallelExecutioner - Interface in org.nd4j.linalg.api.parallel
-
Executes operations in parallel
- ParallelExecutionProvider - Interface in org.nd4j.linalg.api.parallel
-
Created by agibsonccc on 9/19/15.
- parallelThreshold - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.CPUTaskFactory
-
- parallelThreshold - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.misc.CPUCol2ImTask
-
- parallelThreshold - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.misc.CPUIm2ColTask
-
- parititonForkJoinBasedOnSlices(INDArray, Op, OpExecutioner) - Static method in class org.nd4j.linalg.api.parallel.TaskCreator
-
- parititonForkJoinBasedOnSlices(INDArray[], TaskCreator.INDArrayTask) - Static method in class org.nd4j.linalg.api.parallel.TaskCreator
-
- parititonForkJoinBasedOnSlices(INDArray, TaskCreator.INDArrayTask) - Static method in class org.nd4j.linalg.api.parallel.TaskCreator
-
- parititonForkJoinBasedOnTensorsAlongDimension(INDArray[], Op, OpExecutioner, int...) - Static method in class org.nd4j.linalg.api.parallel.TaskCreator
-
- parititonForkJoinBasedOnTensorsAlongDimension(INDArray, Accumulation, OpExecutioner, INDArray, int...) - Static method in class org.nd4j.linalg.api.parallel.TaskCreator
-
- parititonForkJoinBasedOnTensorsAlongDimension(INDArray, Op, OpExecutioner, int...) - Static method in class org.nd4j.linalg.api.parallel.TaskCreator
-
- parititonForkJoinBasedOnTensorsAlongDimension(INDArray, TaskCreator.INDArrayTask, int...) - Static method in class org.nd4j.linalg.api.parallel.TaskCreator
-
- parititonForkJoinBasedOnTensorsAlongDimension(INDArray[], TaskCreator.INDArrayTask, int...) - Static method in class org.nd4j.linalg.api.parallel.TaskCreator
-
- parititonRunnablesBasedOnSlices(INDArray, Op, OpExecutioner) - Static method in class org.nd4j.linalg.api.parallel.TaskCreator
-
- parititonRunnablesBasedOnSlices(INDArray[], TaskCreator.INDArrayTask) - Static method in class org.nd4j.linalg.api.parallel.TaskCreator
-
- parititonRunnablesBasedOnSlices(INDArray, TaskCreator.INDArrayTask) - Static method in class org.nd4j.linalg.api.parallel.TaskCreator
-
- parititonRunnablesBasedOnTensorsAlongDimension(INDArray[], TaskCreator.INDArrayTask, int...) - Static method in class org.nd4j.linalg.api.parallel.TaskCreator
-
- parititonRunnablesBasedOnTensorsAlongDimension(INDArray, TaskCreator.INDArrayTask, int...) - Static method in class org.nd4j.linalg.api.parallel.TaskCreator
-
- parititonRunnablesBasedOnTensorsAlongDimension(INDArray, Op, OpExecutioner, int...) - Static method in class org.nd4j.linalg.api.parallel.TaskCreator
-
- 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
- PCA() - Constructor for class org.nd4j.linalg.dimensionalityreduction.PCA
-
- pca(INDArray, int, boolean) - Static method in class org.nd4j.linalg.dimensionalityreduction.PCA
-
Reduce the dimension of x
to the specified number of dimensions.
- perform(INDArray...) - Method in class org.nd4j.linalg.api.parallel.TaskCreator.AccumulationINDArrayTask
-
- perform(INDArray...) - Method in interface org.nd4j.linalg.api.parallel.TaskCreator.INDArrayTask
-
- perform(INDArray...) - Method in class org.nd4j.linalg.api.parallel.TaskCreator.OpINDArrayTask
-
- 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
-
- 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
- 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.
- 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
-
- postProcess(IComplexNDArray, int) - Method in class org.nd4j.linalg.fft.DefaultFFTInstance
-
- posv(char, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
-
- posv(char, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
-
- 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, 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
- 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(IComplexNDArray, IComplexNDArray, int, int) - Method in class org.nd4j.linalg.fft.DefaultFFTInstance
-
- preProcessor - Variable in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator
-
- printApacheMatrix(RealMatrix) - Static method in class org.nd4j.linalg.checkutil.CheckUtil
-
- 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
-
- 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)
.
- 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
-
- 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
-
- props - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- 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
- 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
- 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
-
- 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
-
- putScalar(int[], int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- putScalarUnsafe(int, double) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- putScalarUnsafe(int, 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
- 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
-
Deprecated.
- 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 - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- random - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- randomClazz - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- randomGenerator - Variable in class org.nd4j.linalg.api.rng.DefaultRandom
-
- rangeOfLength(INDArrayIndex[]) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
-
Create a range based on the given indexes.
- rank - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- rank() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- rank() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
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
- 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
- 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
- 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
- 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(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
- 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
- readTxt(String) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Read line via input streams
- 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
- 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
-
- 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
- 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
-
- 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.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.ExistingMiniBatchDataSetIterator
-
- remove() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
-
- remove() - Method in class org.nd4j.linalg.dataset.ViewIterator
-
- repeat(int, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- repeat(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(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns a flat array
with the elements repeated k times along each given 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
- 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
- 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
-
- 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 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 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.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
-
- 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
- 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(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
- RESOURCE_MANAGER - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- RESOURCE_MANGER_ON - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- resourceManagerOn - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- 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
-
- RmsProp - Class in org.nd4j.linalg.learning
-
RMS Prop updates:
http://www.cs.toronto.edu/~tijmen/csc321/slides/lecture_slides_lec6.pdf
http://cs231n.github.io/neural-networks-3/#ada
- RmsProp(double, double) - Constructor for class org.nd4j.linalg.learning.RmsProp
-
- RmsProp.RmsPropAggregator - Class in org.nd4j.linalg.learning
-
- RmsPropAggregator() - Constructor for class org.nd4j.linalg.learning.RmsProp.RmsPropAggregator
-
- 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 - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- 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)
- 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
- 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
-
- 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
-
- 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
-
- 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.api.parallel.TaskCreator.RunnableINDArrayTask
-
- run() - Method in class org.nd4j.linalg.api.parallel.TaskCreator.RunnableMultipleINDArrayTask
-
- run() - Method in class org.nd4j.linalg.benchmark.TimeOperations
-
- RunnableINDArrayTask(INDArray, TaskCreator.INDArrayTask) - Constructor for class org.nd4j.linalg.api.parallel.TaskCreator.RunnableINDArrayTask
-
- RunnableMultipleINDArrayTask(INDArray[], TaskCreator.INDArrayTask, CountDownLatch) - Constructor for class org.nd4j.linalg.api.parallel.TaskCreator.RunnableMultipleINDArrayTask
-
- runNTimes(Runnable) - Method in class org.nd4j.linalg.benchmark.TimeOperations
-
- SaddlePointExpansion - Class in org.nd4j.linalg.api.rng.distribution.impl
-
Utility class used by various distributions to accurately compute their
respective probability mass functions.
- 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 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(File) - Method in interface org.nd4j.linalg.dataset.api.DataSet
-
- save(File, File) - Method in class org.nd4j.linalg.dataset.api.iterator.StandardScaler
-
Save the current mean and std
- save(File) - Method in class org.nd4j.linalg.dataset.DataSet
-
- 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, int) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a scalar ndarray with the specified offset
- scalar(float, int) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(double, int) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(int, int) - 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, int) - 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, int) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(IComplexDouble, int) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(Number, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a scalar ndarray with the specified offset
- scalar(double, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a scalar nd array with the specified value and offset
- scalar(float, int) - 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, int) - 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, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a scalar nd array with the specified value and offset
- scalar(IComplexDouble, int) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Create a scalar nd array with the specified value and offset
- scalar(Number, int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a scalar ndarray with the specified offset
- scalar(float, int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(double, int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(int, int) - 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, int) - 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, int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
-
Create a scalar nd array with the specified value and offset
- scalar(IComplexDouble, int) - 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)
- 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.
- 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
- 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
-
- 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
-
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.
- score(INDArray, LossFunctions.LossFunction, INDArray, double, boolean) - Static method in class org.nd4j.linalg.lossfunctions.LossFunctions
-
Generic scoring function.
- scoreExamples() - Method in class org.nd4j.linalg.lossfunctions.LossCalculation
-
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
-
- 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
-
- 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
-
- setArr(INDArray) - Method in class org.nd4j.linalg.indexing.ShapeOffsetResolution
-
- 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
-
Sets the column names, will throw an exception if the column names
don't match the number of columns
- setConvolution(ConvolutionInstance) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Set a convolution instance
- 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
-
- 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
- setEntries(List<LogEntry>) - Method in class org.nd4j.linalg.api.instrumentation.InMemoryInstrumentation
-
- 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
- setFactory(NDArrayFactory) - Static method in class org.nd4j.linalg.factory.Nd4j
-
- setFeatures(INDArray) - Method in interface org.nd4j.linalg.dataset.api.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
-
- 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
-
- 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 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
-
- setId(String) - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
-
- 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
-
- 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
-
- setLength(long) - Method in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
-
- setLength(long) - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
-
- 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
- setOffset(long) - Method in class org.nd4j.linalg.indexing.ShapeOffsetResolution
-
- setOffsets(int[]) - Method in class org.nd4j.linalg.indexing.ShapeOffsetResolution
-
- 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
-
Returns the order given the shape information
- 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
- setParallelEnabled(boolean) - Method in class org.nd4j.linalg.api.parallel.DefaultParallelExecutioner
-
- setParallelEnabled(boolean) - Method in interface org.nd4j.linalg.api.parallel.ParallelExecutioner
-
Sets parallel enabled
- setParallelThreshold(int) - Method in class org.nd4j.linalg.api.parallel.tasks.cpu.CPUTaskFactory
-
Set the threshold for breaking up CPU tasks for parallel execution.
- 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 interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator
-
Set a pre processor
- 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.ExistingMiniBatchDataSetIterator
-
- setPreProcessor(DataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
-
- setPreProcessor(DataSetPreProcessor) - Method in class org.nd4j.linalg.dataset.ViewIterator
-
- 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
-
- setRawResult(INDArray[]) - Method in class org.nd4j.linalg.api.parallel.TaskCreator.ForkJoinArrayINDArrayTask
-
- setRawResult(INDArray) - Method in class org.nd4j.linalg.api.parallel.TaskCreator.ForkJoinINDArrayTask
-
- 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
-
- 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
- setShapes(int[]) - Method in class org.nd4j.linalg.indexing.ShapeOffsetResolution
-
- setStackTraceElements(StackTraceElement[]) - Method in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
-
- setStackTraceElements(StackTraceElement[]) - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
-
- 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
- setStrides(int[]) - Method in class org.nd4j.linalg.indexing.ShapeOffsetResolution
-
- 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
-
- setWrapAround(boolean) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- 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.BaseAccumulation
-
- 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
-
- Sgd(double) - Constructor for class org.nd4j.linalg.learning.Sgd
-
- Sgd.SgdAggregator - Class in org.nd4j.linalg.learning
-
- SgdAggregator() - Constructor for class org.nd4j.linalg.learning.Sgd.SgdAggregator
-
- 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
-
- sger(char, int, int, float, INDArray, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
-
- sgetrf(int, int, float[], int, int[], int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
- sgetri(int, float[], int, int[], float[], int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
-
- 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() - Constructor for class org.nd4j.linalg.api.shape.Shape
-
- 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(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 - Variable in class org.nd4j.linalg.learning.AdaGrad
-
- ShapeDescriptor - Class in org.nd4j.linalg.api.shape
-
- ShapeDescriptor(int[], int[], int, 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(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
- 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() - Method in class org.nd4j.linalg.dataset.DataSet
-
- 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
- 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
-
- 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(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
-
- sin(IComplexNumber) - Static method in class org.nd4j.linalg.util.ComplexUtil
-
Return the sin value of the given complex number
- 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.
- sizeForAxes(int[], int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Output an int array for a particular dimension
- 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
-
- 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
-
- 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
-
- 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, int, boolean) - Static method in class org.nd4j.linalg.factory.Nd4j
-
Sort an ndarray along a particular dimension
- 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
- SpecifiedIndex - Class in org.nd4j.linalg.indexing
-
- SpecifiedIndex(int...) - Constructor for class org.nd4j.linalg.indexing.SpecifiedIndex
-
- 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
-
- splitTestAndTrain(int, Random) - Method in class org.nd4j.linalg.dataset.DataSet
-
Splits a dataset in to test and train
- splitTestAndTrain(int) - Method in class org.nd4j.linalg.dataset.DataSet
-
- 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
-
- 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 squared (Euclidean) distance.
- squaredDistance(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
Returns the squared (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
-
- 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
-
- stackTraceElements - Variable in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
-
- 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() - 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
-
- StandardScaler - Class in org.nd4j.linalg.dataset.api.iterator
-
Standard scaler calculates a moving column wise
variance and mean
http://www.johndcook.com/blog/standard_deviation/
- StandardScaler() - Constructor for class org.nd4j.linalg.dataset.api.iterator.StandardScaler
-
- 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 ndarray along a dimension
- 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
-
- stdNumber(boolean) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
- 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
-
- 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
-
- 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(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() - 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
-
- strideDescendingCAscendingF(INDArray) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Check if strides are in order suitable for non-strided mmul etc.
- 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
- strideX - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.misc.CPUCol2ImTask
-
- strideX - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.misc.CPUIm2ColTask
-
- strideY - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.misc.CPUCol2ImTask
-
- strideY - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.misc.CPUIm2ColTask
-
- 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(int[], int[], int[]) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray
-
- subArray(ShapeOffsetResolution) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
-
- subArray(int[], 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(int[], 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 subtraction of two NDArrays
- subi(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
-
in place 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)
- subTasks - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.accumulation.CPUAccumulationAlongDimensionTask
-
- subTasks - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.accumulation.CPUAccumulationTask
-
- subTasks - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.accumulation.CPUAccumulationViaTensorTask
-
- subTasks - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.BaseCPUAction
-
- subTasks - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.indexaccum.CPUIndexAccumulationAlongDimensionTask
-
- subTasks - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.indexaccum.CPUIndexAccumulationTask
-
- subTasks - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.indexaccum.CPUIndexAccumulationViaTensorTask
-
- subTasks - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.misc.CPUCol2ImTask
-
- subTasks - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.misc.CPUIm2ColTask
-
- subTasks - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.transform.CPUTransformAlongDimensionTask
-
- 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(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) - 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.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 B x.
- symmetricGeneralizedEigenvalues(INDArray, INDArray) - 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
-
- 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
-
- 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
- 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.
- 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<V> - Interface in org.nd4j.linalg.api.parallel.tasks
-
A Task implements/defines the method of execution of an Op
An Op defines what is to be done
A Task defines how that op is executed (for example, it might be split up and parallelized)
A task also has methods for blockind and non-blocking (asynchronous) execution.
- 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
-
- TASK_FACTORY - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- TASK_FACTORY_INSTANCE - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- TaskCreator - Class in org.nd4j.linalg.api.parallel
-
Created by agibsonccc on 9/19/15.
- TaskCreator() - Constructor for class org.nd4j.linalg.api.parallel.TaskCreator
-
- TaskCreator.AccumulationINDArrayTask - Class in org.nd4j.linalg.api.parallel
-
- TaskCreator.ForkJoinArrayINDArrayTask - Class in org.nd4j.linalg.api.parallel
-
- TaskCreator.ForkJoinINDArrayTask - Class in org.nd4j.linalg.api.parallel
-
- TaskCreator.INDArrayTask - Interface in org.nd4j.linalg.api.parallel
-
- TaskCreator.OpINDArrayTask - Class in org.nd4j.linalg.api.parallel
-
- TaskCreator.RunnableINDArrayTask - Class in org.nd4j.linalg.api.parallel
-
- TaskCreator.RunnableMultipleINDArrayTask - Class in org.nd4j.linalg.api.parallel
-
- TaskExecutor - Interface in org.nd4j.linalg.api.parallel.tasks
-
- taskExecutor - Static variable in class org.nd4j.linalg.api.parallel.tasks.TaskExecutorProvider
-
- TaskExecutorProvider - Class in org.nd4j.linalg.api.parallel.tasks
-
Simple class to provide access to a TaskExecutor instance
- TaskExecutorProvider() - Constructor for class org.nd4j.linalg.api.parallel.tasks.TaskExecutorProvider
-
- taskFactory - Variable in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
-
- TaskFactory - Interface in org.nd4j.linalg.api.parallel.tasks
-
A TaskFactory provides Task
objects for each type of Op
- taskFactory - Static variable in class org.nd4j.linalg.api.parallel.tasks.TaskFactoryProvider
-
- taskFactoryClazz - Static variable in class org.nd4j.linalg.factory.Nd4j
-
- TaskFactoryProvider - Class in org.nd4j.linalg.api.parallel.tasks
-
Provides the default TaskFactory class name for a given Nd4jBackend
- TaskFactoryProvider() - Constructor for class org.nd4j.linalg.api.parallel.tasks.TaskFactoryProvider
-
- TaskUtils - Class in org.nd4j.linalg.heartbeat.utils
-
- TaskUtils() - Constructor for class org.nd4j.linalg.heartbeat.utils.TaskUtils
-
- 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.
- 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.
- 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
- TensorCalculator - Interface in org.nd4j.linalg.api.shape.tensor
-
- TensorCalculator1d - Class in org.nd4j.linalg.api.shape.tensor
-
- TensorCalculator1d(INDArray, int) - Constructor for class org.nd4j.linalg.api.shape.tensor.TensorCalculator1d
-
- TensorCalculator1d(int, int[], int[], int) - Constructor for class org.nd4j.linalg.api.shape.tensor.TensorCalculator1d
-
- TensorCalculatorFactory - Class in org.nd4j.linalg.api.shape.tensor
-
- TensorCalculatorFactory() - Constructor for class org.nd4j.linalg.api.shape.tensor.TensorCalculatorFactory
-
- tensorDim - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.BaseCPUAction
-
- tensorDim - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.BaseCPUTask
-
- tensorIdx - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.BaseCPUAction
-
- tensorIdx - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.BaseCPUTask
-
- tensorLength - Variable in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil.Tensor1DStats
-
- 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
-
- threshold - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.BaseCPUAction
-
- threshold - Variable in class org.nd4j.linalg.api.parallel.tasks.cpu.BaseCPUTask
-
- tile(INDArray, int...) - Static method in class org.nd4j.linalg.factory.Nd4j
-
An alias for repmat
- timeOp(Runnable) - Method in class org.nd4j.linalg.benchmark.TimeOperations
-
- TimeOperations - Class in org.nd4j.linalg.benchmark
-
Times matrix ops
- TimeOperations(INDArray) - Constructor for class org.nd4j.linalg.benchmark.TimeOperations
-
- TimeOperations(INDArray, int) - Constructor for class org.nd4j.linalg.benchmark.TimeOperations
-
- 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
-
- 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
- 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
- toIndexes(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
-
Convert the given int indexes
to nd array indexes
- toInts(INDArray) - Static method in class org.nd4j.linalg.util.NDArrayUtil
-
- 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.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.dataset.DataSet
-
- toString() - Method in class org.nd4j.linalg.indexing.NDArrayIndex
-
- totalExamples() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator
-
- 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.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.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 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.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.ExistingMiniBatchDataSetIterator
-
- totalOutcomes() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
-
- totalOutcomes() - Method in class org.nd4j.linalg.dataset.ViewIterator
-
- 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
-
Transform the data
- 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
- Transforms() - Constructor for class org.nd4j.linalg.ops.transforms.Transforms
-
- 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
- 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
- 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
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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
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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
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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
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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
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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
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?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
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?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
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?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
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?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
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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
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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
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Truncates an ndarray to the specified shape.
- tryShortCircuit(INDArrayIndex...) - Method in class org.nd4j.linalg.indexing.ShapeOffsetResolution
-