A B C D E F G H I K L M N O P Q R S T U V W X Y Z

A

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

AbstractStorage<T> - Interface in org.nd4j.linalg.compression

This interface describes basic Key-Value storage, where Key is any object, and Value is INDArray located "somewhere else"

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.

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 https://arxiv.org/pdf/1212.5701v1.pdf

AdaDelta(double) - Constructor for class org.nd4j.linalg.learning.AdaDelta

AdaDelta(double, 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/ See also http://cs231n.github.io/neural-networks-3/#ada

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(double, 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

add(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.DistributionStats.Builder

Add rows of data to the statistics

addColumnVector(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

In place addition of a column vector

addColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray

In place addition of a column vector

addColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

In place addition of a column vector

addColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Addition of a column vector (copy)

addFeatures(DataSet) - Method in class org.nd4j.linalg.dataset.DistributionStats.Builder

Add the features of a DataSet to the statistics

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

addLabels(DataSet) - Method in class org.nd4j.linalg.dataset.DistributionStats.Builder

Add the labels of a DataSet to the statistics

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

AFFINITY_MANAGER - Static variable in class org.nd4j.linalg.factory.Nd4j

AffinityManager - Interface in org.nd4j.linalg.api.concurrency

affinityManager - Static variable in class org.nd4j.linalg.factory.Nd4j

AffinityManager.Location - Enum in org.nd4j.linalg.api.concurrency

affinityManagerClazz - Static variable in class org.nd4j.linalg.factory.Nd4j

Aggregate - Interface in org.nd4j.linalg.api.ops.aggregates

Aggregates are ops that work with custom operands, that are not limited to traditional X, Y and Z constraints.

aggregate(Aggregate) - Method in interface org.nd4j.linalg.api.ops.executioner.GridExecutioner

This method enqueues aggregate op for future invocation

aggregate(Aggregate, long) - Method in interface org.nd4j.linalg.api.ops.executioner.GridExecutioner

This method enqueues aggregate op for future invocation.

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

Deprecated.

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

AggregateAxpy - Class in org.nd4j.linalg.api.ops.aggregates.impl

This op describes Axpy call that'll happen soon(TM) in batch mode

AggregateAxpy(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.aggregates.impl.AggregateAxpy

AggregateCBOW - Class in org.nd4j.linalg.api.ops.aggregates.impl

AggregateCBOW(INDArray, INDArray, INDArray, INDArray, INDArray, int, int[], int[], int[], int, int, int, double, long, int, int, boolean, INDArray) - Constructor for class org.nd4j.linalg.api.ops.aggregates.impl.AggregateCBOW

Optional constructor for ParagraphVectors PV-DM implementation

AggregateCBOW(INDArray, INDArray, INDArray, INDArray, INDArray, int, int[], int[], int[], int, int, int, double, long, int) - Constructor for class org.nd4j.linalg.api.ops.aggregates.impl.AggregateCBOW

Default constructor for CBOW implementation wrapper

AggregateDot - Class in org.nd4j.linalg.api.ops.aggregates.impl

This op describes Dot call that'll happen soon(TM) in batch mode

AggregateDot(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.aggregates.impl.AggregateDot

AggregateGEMM - Class in org.nd4j.linalg.api.ops.aggregates.impl

PLEASE NOTE: This op is available for CPU only, and should NOT be ever called manually, unless you know why you're using it

AggregateGEMM() - Constructor for class org.nd4j.linalg.api.ops.aggregates.impl.AggregateGEMM

AggregateGEMM(int, int, int, int, int, int, double, INDArray, int, INDArray, int, double, INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.aggregates.impl.AggregateGEMM

AggregateSkipGram - Class in org.nd4j.linalg.api.ops.aggregates.impl

This aggregate encapsulates AggregateSkipGram training round for a given word and context

AggregateSkipGram(INDArray, INDArray, INDArray, INDArray, INDArray, int, int[], int[], int, int, int, double, long, int, INDArray) - Constructor for class org.nd4j.linalg.api.ops.aggregates.impl.AggregateSkipGram

AggregateSkipGram(INDArray, INDArray, INDArray, INDArray, INDArray, int, int[], int[], int, int, int, double, long, int) - Constructor for class org.nd4j.linalg.api.ops.aggregates.impl.AggregateSkipGram

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

allocate(long, MemoryKind, boolean) - Method in class org.nd4j.linalg.memory.BasicMemoryManager

This method returns PLEASE NOTE: Cache options depend on specific implementations

allocate(long, MemoryKind, boolean) - Method in interface org.nd4j.linalg.memory.MemoryManager

This method returns PLEASE NOTE: Cache options depend on specific implementations

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(INDArray, Condition, int...) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing

And over the whole ndarray given some condition, with respect to dimensions

And - Class in org.nd4j.linalg.indexing.conditions

Created by agibsonccc on 10/9/14.

And(Condition...) - Constructor for class org.nd4j.linalg.indexing.conditions.And

and(Condition...) - Method in class org.nd4j.linalg.indexing.conditions.ConditionBuilder

append(T) - Method in class org.nd4j.linalg.api.ops.aggregates.Batch

This method tries to append aggregate to the current batch, if it has free room

append(INDArray, int, double, int) - Static method in class org.nd4j.linalg.factory.Nd4j

Append the given array with the specified value size along a particular axis

appendBias(INDArray...) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Merge the vectors and append a bias.

appendBias(INDArray...) - Static method in class org.nd4j.linalg.factory.Nd4j

appendBias(INDArray...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

apply(Condition, Function<Number, Number>) - Method in interface org.nd4j.linalg.dataset.api.DataSet

apply(Condition, Function<Number, Number>) - Method in class org.nd4j.linalg.dataset.DataSet

apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.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.EpsilonNotEquals

apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.EpsilonNotEquals

apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.EqualsCondition

apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.EqualsCondition

apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.GreaterThan

apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.GreaterThan

apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.GreaterThanOrEqual

apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.GreaterThanOrEqual

apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.IsInfinite

apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.IsInfinite

apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.IsNaN

apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.IsNaN

apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.LessThan

apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.LessThan

apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.LessThanOrEqual

apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.LessThanOrEqual

apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.Not

apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.Not

apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.NotEqualsCondition

apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.NotEqualsCondition

apply(Number) - Method in class org.nd4j.linalg.indexing.conditions.Or

apply(IComplexNumber) - Method in class org.nd4j.linalg.indexing.conditions.Or

apply(Number) - Method in class org.nd4j.linalg.indexing.functions.Identity

apply(Number) - Method in class org.nd4j.linalg.indexing.functions.StableNumber

apply(Number) - Method in class org.nd4j.linalg.indexing.functions.Value

apply(Number) - Method in class org.nd4j.linalg.indexing.functions.Zero

applyFinalTransform() - Method in interface org.nd4j.linalg.api.ops.Accumulation

Whether to apply the final transform or not

applyFinalTransform - Variable in class org.nd4j.linalg.api.ops.BaseAccumulation

applyFinalTransform() - Method in class org.nd4j.linalg.api.ops.BaseAccumulation

applyWhere(INDArray, Condition, Function<Number, Number>) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing

Based on the matching elements op to based on condition to with function function

applyWhere(INDArray, Condition, Number) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing

This method sets provided number to all elements which match specified condition

applyWhere(INDArray, Condition, Function<Number, Number>, Function<Number, Number>) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing

Based on the matching elements op to based on condition to with function function

applyWhere(IComplexNDArray, Condition, Function<IComplexNumber, IComplexNumber>) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing

Based on the matching elements op to based on condition to with function function

arange(double, double) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Array of evenly spaced values.

arange(double, double) - Static method in class org.nd4j.linalg.factory.Nd4j

Array of evenly spaced values.

arange(double) - Static method in class org.nd4j.linalg.factory.Nd4j

Array of evenly spaced values.

arange(double, double) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Array of evenly spaced values.

argMax(INDArray, int...) - Static method in class org.nd4j.linalg.factory.Nd4j

arguments - Variable in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate

ArrayDescriptor - Class in org.nd4j.linalg.cache

This is utility class, made to compare java arrays for caching purposes.

ArrayDescriptor(int[]) - Constructor for class org.nd4j.linalg.cache.ArrayDescriptor

ArrayDescriptor(float[]) - Constructor for class org.nd4j.linalg.cache.ArrayDescriptor

ArrayDescriptor(double[]) - Constructor for class org.nd4j.linalg.cache.ArrayDescriptor

ArrayDescriptor(long[]) - Constructor for class org.nd4j.linalg.cache.ArrayDescriptor

arrayOrdering - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArrayProxy

arrayShape - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArrayProxy

This is a proxy class so that ndarrays can be serialized and deserialized independent of the backend Be it cpu or gpu

ASin - Class in org.nd4j.linalg.api.ops.impl.transforms

Arcsin elementwise function

ASin() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ASin

ASin(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ASin

ASin(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ASin

ASin(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ASin

ASin(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ASin

asin(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

asin(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

asin(IComplexNumber) - Static method in class org.nd4j.linalg.util.ComplexUtil

Return the sin value of the given complex number

asList() - Method in interface org.nd4j.linalg.dataset.api.DataSet

Extract each example in the DataSet into its own DataSet object, and return all of them as a list

asList() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

Split the MultiDataSet into a list of individual examples.

asList() - Method in class org.nd4j.linalg.dataset.DataSet

asList() - Method in class org.nd4j.linalg.dataset.MultiDataSet

assertColumns(INDArray, INDArray) - Static method in class org.nd4j.linalg.util.LinAlgExceptions

assertDouble(INDArray...) - Static method in class org.nd4j.linalg.factory.DataTypeValidation

assertDouble(INDArray) - Static method in class org.nd4j.linalg.factory.DataTypeValidation

assertFloat(INDArray...) - Static method in class org.nd4j.linalg.factory.DataTypeValidation

assertFloat(INDArray) - Static method in class org.nd4j.linalg.factory.DataTypeValidation

assertMatrix(INDArray...) - Static method in class org.nd4j.linalg.util.LinAlgExceptions

assertMatrix(INDArray) - Static method in class org.nd4j.linalg.util.LinAlgExceptions

assertMultiplies(INDArray, INDArray) - Static method in class org.nd4j.linalg.util.LinAlgExceptions

Asserts matrix multiply rules (columns of left == rows of right or rows of left == columns of right)

assertRows(INDArray, INDArray) - Static method in class org.nd4j.linalg.util.LinAlgExceptions

assertSameDataType(INDArray...) - Static method in class org.nd4j.linalg.factory.DataTypeValidation

assertSameLength(INDArray, INDArray) - Static method in class org.nd4j.linalg.util.LinAlgExceptions

Asserts both arrays be the same length

assertSameShape(INDArray, INDArray) - Static method in class org.nd4j.linalg.util.LinAlgExceptions

assertShapeLessThan(int[], int[]) - Static method in class org.nd4j.linalg.api.shape.Shape

Assert the both shapes are the same length and shape[i] < lessThan[i]

assertSlice(INDArray, int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

assertValidNum(INDArray) - Static method in class org.nd4j.linalg.util.LinAlgExceptions

assertVector(INDArray...) - Static method in class org.nd4j.linalg.util.LinAlgExceptions

assertVector(INDArray) - Static method in class org.nd4j.linalg.util.LinAlgExceptions

assign(IComplexNDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

Assign all of the elements in the given ndarray to this ndarray

assign(IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

assign(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

Assign all of the elements in the given ndarray to this nedarray

assign(Number) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

Set the value of the ndarray to the specified value

assign(IComplexNDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray

Assign all of the elements in the given ndarray to this nedarray

assign(Number) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray

Set the value of the ndarray to the specified value

assign(IComplexNumber) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray

assign(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

Assign all of the elements in the given ndarray to this ndarray

assign(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

Set the value of the ndarray to the specified value

assign(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Assign all of the elements in the given ndarray to this ndarray

assign(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Set the value of the ndarray to the specified value

assignIf(INDArray, Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

Assign all elements from given ndarray that are matching given condition, ndarray to this ndarray

assignIf(INDArray, Condition) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Assign all elements from given ndarray that are matching given condition, ndarray to this ndarray

assignIf(INDArray, INDArray, Condition) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing

This method does element-wise assing for 2 equal-sized matrices, for each element that matches Condition

asum(INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

computes the sum of magnitudes of all vector elements or, for a complex vector x, the sum

asum(int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

asum(IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

computes the sum of magnitudes of all vector elements or, for a complex vector x, the sum

asum(INDArray) - Method in interface org.nd4j.linalg.api.blas.Level1

computes the sum of magnitudes of all vector elements or, for a complex vector x, the sum

asum(int, DataBuffer, int, int) - Method in interface org.nd4j.linalg.api.blas.Level1

sum of magnitudes of all elements

asum(IComplexNDArray) - Method in interface org.nd4j.linalg.api.blas.Level1

computes the sum of magnitudes of all vector elements or, for a complex vector x, the sum

ASum - Class in org.nd4j.linalg.api.ops.impl.accum

Absolute sum the components

ASum() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.ASum

ASum(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.ASum

ASum(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.ASum

ASum(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.ASum

ASum(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.ASum

asum(INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

asum(IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

asum(INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper

Compute || x ||_1 (1-norm, sum of absolute values)

asum(IComplexNDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper

asyncSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator

asyncSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator

asyncSupported() - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator

Does this DataSetIterator support asynchronous prefetching of multiple DataSet objects? Most DataSetIterators do, but in some cases it may not make sense to wrap this iterator in an iterator that does asynchronous prefetching.

asyncSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator

asyncSupported() - Method in interface org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator

Does this MultiDataSetIterator support asynchronous prefetching of multiple MultiDataSet objects? Most MultiDataSetIterators do, but in some cases it may not make sense to wrap this iterator in an iterator that does asynchronous prefetching.

asyncSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator

Deprecated.

asyncSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator

asyncSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator

asyncSupported() - Method in class org.nd4j.linalg.dataset.api.iterator.TestMultiDataSetIterator

asyncSupported() - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator

asyncSupported() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator

asyncSupported() - Method in class org.nd4j.linalg.dataset.ViewIterator

ATan - Class in org.nd4j.linalg.api.ops.impl.transforms

Arc Tangent elementwise function

ATan() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ATan

ATan(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ATan

ATan(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ATan

ATan(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ATan

ATan(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ATan

atan(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

atan(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

atan(IComplexNumber) - Static method in class org.nd4j.linalg.util.ComplexUtil

Return the sin value of the given complex number

attachThreadToDevice(Thread, Integer) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager

This method attaches specified thread to specified device

attachThreadToDevice(long, Integer) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager

This method attaches specified thread (by Id) to specified device

attachThreadToDevice(Thread, Integer) - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager

attachThreadToDevice(long, Integer) - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager

attemptedToFindElementWiseStride - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArray

autoDecompress(INDArray...) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor

Decompress several ndarrays

autoDecompress(INDArray) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor

average(INDArray, INDArray[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

This method averages input arrays, and returns averaged array

average(INDArray[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

This method averages input arrays, and returns averaged array

average(Collection<INDArray>) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

This method averages input arrays, and returns averaged array

average(INDArray, Collection<INDArray>) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

This method averages input arrays, and returns averaged array

averageAndPropagate(INDArray, INDArray[]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method averages input arrays, and returns averaged array.

averageAndPropagate(INDArray[]) - Static method in class org.nd4j.linalg.factory.Nd4j

This method averages input arrays, and returns averaged array.

averageAndPropagate(Collection<INDArray>) - Static method in class org.nd4j.linalg.factory.Nd4j

This method averages input arrays, and returns averaged array.

averageAndPropagate(INDArray, Collection<INDArray>) - Static method in class org.nd4j.linalg.factory.Nd4j

This method averages input arrays, and returns averaged array.

axpy(int, double, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

computes a vector-scalar product and adds the result to a vector.

axpy(int, double, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

axpy(int, IComplexNumber, IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

computes a vector-scalar product and adds the result to a vector.

axpy(int, double, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level1

computes a vector-scalar product and adds the result to a vector.

axpy(int, double, DataBuffer, int, int, DataBuffer, int, int) - Method in interface org.nd4j.linalg.api.blas.Level1

computes a vector-scalar product and adds the result to a vector.

axpy(int, IComplexNumber, IComplexNDArray, IComplexNDArray) - Method in interface org.nd4j.linalg.api.blas.Level1

computes a vector-scalar product and adds the result to a vector.

Axpy - Class in org.nd4j.linalg.api.ops.impl.transforms.arithmetic

Level 1 blas op Axpy as libnd4j native op

Axpy() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.Axpy

Axpy(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.Axpy

Axpy(INDArray, INDArray, double, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.Axpy

Axpy(INDArray, INDArray, INDArray, double, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.Axpy

axpy(Number, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

axpy(double, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

axpy(float, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

axpy(IComplexNumber, IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

axpy(double, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper

Deprecated.

axpy(float, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper

Deprecated.

axpy(Number, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper

Compute y <- y + x * alpha

axpy(IComplexNumber, IComplexNDArray, IComplexNDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper

B

backend - Static variable in class org.nd4j.linalg.factory.Nd4j

balance() - Method in class org.nd4j.linalg.dataset.BalanceMinibatches

Generate a balanced dataset minibatch fileset.

BalanceMinibatches - Class in org.nd4j.linalg.dataset

Auto balance mini batches by label.

BalanceMinibatches() - Constructor for class org.nd4j.linalg.dataset.BalanceMinibatches

BaseAccumulation - Class in org.nd4j.linalg.api.ops

Base class for accumulation, initiates the initial entry with respect to the child class.

BaseAccumulation() - Constructor for class org.nd4j.linalg.api.ops.BaseAccumulation

BaseAccumulation(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.BaseAccumulation

Initialize with the given input, pairwise transform, result, and number of elements

BaseAccumulation(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.BaseAccumulation

BaseAccumulation(INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseAccumulation

BaseAccumulation(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseAccumulation

BaseAggregate - Class in org.nd4j.linalg.api.ops.aggregates

BaseAggregate() - Constructor for class org.nd4j.linalg.api.ops.aggregates.BaseAggregate

BaseBlasWrapper - Class in org.nd4j.linalg.factory

Base implementation of a blas wrapper that delegates things to the underlying level.

BaseBlasWrapper() - Constructor for class org.nd4j.linalg.factory.BaseBlasWrapper

BaseBroadcastOp - Class in org.nd4j.linalg.api.ops

BaseBroadcastOp(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.BaseBroadcastOp

BaseComplexNDArray - Class in org.nd4j.linalg.api.complex

ComplexNDArray for complex numbers.

BaseComplexNDArray() - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray

BaseComplexNDArray(DataBuffer, int[], int[]) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray

BaseComplexNDArray(float[]) - Constructor for class org.nd4j.linalg.api.complex.BaseComplexNDArray

BaseComplexNDArray(DataBuffer, int[], int[], 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

BaseDataFetcher - Class in org.nd4j.linalg.dataset.api.iterator.fetcher

A base class for assisting with creation of matrices with the data transform fetcher

BaseDataFetcher() - Constructor for class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher

BaseDatasetIterator - Class in org.nd4j.linalg.dataset.api.iterator

Baseline implementation includes control over the data fetcher and some basic getters for metadata

BaseDatasetIterator(int, int, DataSetFetcher) - Constructor for class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator

BaseDistribution - Class in org.nd4j.linalg.api.rng.distribution

Base distribution derived from apache commons math http://commons.apache.org/proper/commons-math/

(specifically the org.apache.commons.math3.distribution.AbstractRealDistribution

BaseDistribution(Random) - Constructor for class org.nd4j.linalg.api.rng.distribution.BaseDistribution

BaseDistribution() - Constructor for class org.nd4j.linalg.api.rng.distribution.BaseDistribution

BaseFFTInstance - Class in org.nd4j.linalg.fft

Abstract FFT Instance mostly handling basic things that shouldn't change such as method overloading.

BaseFFTInstance() - Constructor for class org.nd4j.linalg.fft.BaseFFTInstance

BaseGridOp - Class in org.nd4j.linalg.api.ops.impl.grid

BaseGridOp() - Constructor for class org.nd4j.linalg.api.ops.impl.grid.BaseGridOp

BaseGridOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.grid.BaseGridOp

BaseGridOp(Op...) - Constructor for class org.nd4j.linalg.api.ops.impl.grid.BaseGridOp

BaseGridOp(OpDescriptor...) - Constructor for class org.nd4j.linalg.api.ops.impl.grid.BaseGridOp

BaseGridOp(GridPointers...) - Constructor for class org.nd4j.linalg.api.ops.impl.grid.BaseGridOp

BaseGridOp(List<Op>) - Constructor for class org.nd4j.linalg.api.ops.impl.grid.BaseGridOp

BaseIndexAccumulation - Class in org.nd4j.linalg.api.ops

BaseIndexAccumulation() - Constructor for class org.nd4j.linalg.api.ops.BaseIndexAccumulation

BaseIndexAccumulation(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.BaseIndexAccumulation

Initialize with the given input, pairwise transform, result, and number of elements

BaseIndexAccumulation(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.BaseIndexAccumulation

BaseIndexAccumulation(INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseIndexAccumulation

BaseIndexAccumulation(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseIndexAccumulation

BaseLapack - Class in org.nd4j.linalg.api.blas.impl

Base lapack define float and double versions.

BaseLapack() - Constructor for class org.nd4j.linalg.api.blas.impl.BaseLapack

BaseLevel - Class in org.nd4j.linalg.api.blas.impl

Provides auxillary methods for blas to databuffer interactions

BaseLevel() - Constructor for class org.nd4j.linalg.api.blas.impl.BaseLevel

BaseLevel1 - Class in org.nd4j.linalg.api.blas.impl

Base class for level 1 functions, abstract headers pulled from: http://www.netlib.org/blas/blast-forum/cblas.h

BaseLevel1() - Constructor for class org.nd4j.linalg.api.blas.impl.BaseLevel1

BaseLevel2 - Class in org.nd4j.linalg.api.blas.impl

Base class for level 2 functions, abstract headers pulled from: http://www.netlib.org/blas/blast-forum/cblas.h

BaseLevel2() - Constructor for class org.nd4j.linalg.api.blas.impl.BaseLevel2

BaseLevel3 - Class in org.nd4j.linalg.api.blas.impl

Base class for level 3 functions, abstract headers pulled from: http://www.netlib.org/blas/blast-forum/cblas.h

BaseLevel3() - Constructor for class org.nd4j.linalg.api.blas.impl.BaseLevel3

BaseLossFunction - Class in org.nd4j.linalg.api.ops

BaseLossFunction(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.BaseLossFunction

BaseLossFunction(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.BaseLossFunction

BaseLossFunction(INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseLossFunction

BaseLossFunction(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseLossFunction

BaseLossFunction() - Constructor for class org.nd4j.linalg.api.ops.BaseLossFunction

BaseMetaOp - Class in org.nd4j.linalg.api.ops.impl.meta

BaseMetaOp() - Constructor for class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp

BaseMetaOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp

BaseMetaOp(Op, Op) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp

BaseMetaOp(OpDescriptor, OpDescriptor) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp

BaseMetaOp(GridPointers, GridPointers) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp

BaseNDArray - Class in org.nd4j.linalg.api.ndarray

NDArray: (think numpy)

A few things of note.

BaseNDArray() - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(DataBuffer) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

BaseNDArray(DataBuffer, int[], int[], 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[], int, char, boolean) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

Construct an ndarray of the specified shape.

BaseNDArray(int[], int[], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray

Create the ndarray with the specified shape and stride and an offset of 0

BaseNDArray(int[], 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

BaseNDArrayProxy - Class in org.nd4j.linalg.api.ndarray

BaseNDArrayProxy(INDArray) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArrayProxy

BaseOp - Class in org.nd4j.linalg.api.ops

Base op.

BaseOp() - Constructor for class org.nd4j.linalg.api.ops.BaseOp

BaseOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseOp

Specify an alternative result array

BaseOp(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.BaseOp

Specify an alternative output array

BaseOp(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.BaseOp

BaseOp(INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseOp

An op for one ndarray

BaseRandomOp - Class in org.nd4j.linalg.api.ops.random

BaseRandomOp() - Constructor for class org.nd4j.linalg.api.ops.random.BaseRandomOp

BaseScalarOp - Class in org.nd4j.linalg.api.ops

Base scalar operation

BaseScalarOp() - Constructor for class org.nd4j.linalg.api.ops.BaseScalarOp

BaseScalarOp(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.BaseScalarOp

BaseScalarOp(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.BaseScalarOp

BaseScalarOp(INDArray, INDArray, INDArray, long, IComplexNumber) - Constructor for class org.nd4j.linalg.api.ops.BaseScalarOp

BaseScalarOp(INDArray, IComplexNumber) - Constructor for class org.nd4j.linalg.api.ops.BaseScalarOp

BaseShapeInfoProvider - Class in org.nd4j.linalg.api.ndarray

BaseShapeInfoProvider() - Constructor for class org.nd4j.linalg.api.ndarray.BaseShapeInfoProvider

BaseTransformOp - Class in org.nd4j.linalg.api.ops

A base op for basic getters and setters

BaseTransformOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformOp

BaseTransformOp() - Constructor for class org.nd4j.linalg.api.ops.BaseTransformOp

BaseTransformOp(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformOp

BaseTransformOp(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformOp

BaseTransformOp(INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformOp

BasicAffinityManager - Class in org.nd4j.linalg.api.concurrency

BasicAffinityManager() - Constructor for class org.nd4j.linalg.api.concurrency.BasicAffinityManager

BasicConstantHandler - Class in org.nd4j.linalg.cache

Basic No-Op abstraction for ConstantHandler

BasicConstantHandler() - Constructor for class org.nd4j.linalg.cache.BasicConstantHandler

BasicMemoryManager - Class in org.nd4j.linalg.memory

BasicMemoryManager() - Constructor for class org.nd4j.linalg.memory.BasicMemoryManager

BasicNDArrayCompressor - Class in org.nd4j.linalg.compression

Batch<T extends Aggregate> - Class in org.nd4j.linalg.api.ops.aggregates

Wrapper for "batch of aggregates"

Batch(List<T>) - Constructor for class org.nd4j.linalg.api.ops.aggregates.Batch

This constructor takes List of Aggregates, and builds Batch instance, usable with Nd4j executioner.

batch - Variable in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator

batch() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator

batch() - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator

batch() - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator

Batch size

batch() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator

The number of examples in every fold, except the last if totalexamples % k !=0

batch() - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator

Deprecated.

Batch size

batch() - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator

batch() - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator

batch() - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator

batch() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator

batch() - Method in class org.nd4j.linalg.dataset.ViewIterator

batchBy(int) - Method in interface org.nd4j.linalg.dataset.api.DataSet

batchBy(int) - Method in class org.nd4j.linalg.dataset.DataSet

Partitions a dataset in to mini batches where each dataset in each list is of the specified number of examples

batchByNumLabels() - Method in interface org.nd4j.linalg.dataset.api.DataSet

batchByNumLabels() - Method in class org.nd4j.linalg.dataset.DataSet

begin - Variable in class org.nd4j.linalg.indexing.IntervalIndex

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

BernoulliDistribution - Class in org.nd4j.linalg.api.ops.random.impl

BernoulliDistribution implementation

BernoulliDistribution() - Constructor for class org.nd4j.linalg.api.ops.random.impl.BernoulliDistribution

BernoulliDistribution(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.BernoulliDistribution

This op fills Z with random values within from...to boundaries

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.ops.random.impl

This Op generates binomial distribution

BinomialDistribution() - Constructor for class org.nd4j.linalg.api.ops.random.impl.BinomialDistribution

BinomialDistribution(INDArray, int, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.BinomialDistribution

This op fills Z with binomial distribution over given trials with single given probability for all trials

BinomialDistribution(INDArray, int, INDArray) - Constructor for class org.nd4j.linalg.api.ops.random.impl.BinomialDistribution

This op fills Z with binomial distribution over given trials with probability for each trial given as probabilities INDArray

BinomialDistribution(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.random.impl.BinomialDistribution

This op fills Z with binomial distribution over given trials with probability for each trial given as probabilities INDArray

BinomialDistribution - Class in org.nd4j.linalg.api.rng.distribution.impl

Base distribution derived from apache commons math http://commons.apache.org/proper/commons-math/

(specifically the org.apache.commons.math3.distribution.BinomialDistribution

BinomialDistribution(int, double) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution

Create a binomial distribution with the given number of trials and probability of success.

BinomialDistribution(Random, int, double) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution

Creates a binomial distribution.

BinomialDistribution(int, INDArray) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution

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

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

broadcast(INDArray) - Method in class org.nd4j.linalg.util.DeviceLocalNDArray

This method duplicates array, and stores it to all devices

BroadcastAddOp - Class in org.nd4j.linalg.api.ops.impl.broadcast

BroadcastAddOp() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAddOp

BroadcastAddOp(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAddOp

BroadcastCopyOp - Class in org.nd4j.linalg.api.ops.impl.broadcast

BroadcastCopyOp() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastCopyOp

BroadcastCopyOp(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastCopyOp

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.dataset.DistributionStats.Builder

Create a DistributionStats object from the data ingested so far.

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

Builder() - Constructor for class org.nd4j.linalg.dataset.DistributionStats.Builder

buildList(List<DistributionStats.Builder>) - Static method in class org.nd4j.linalg.dataset.DistributionStats.Builder

Utility function for building a list of DistributionStat objects from a list of builders

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

C - Static variable in interface org.nd4j.linalg.factory.NDArrayFactory

CachingDataSetIterator - Class in org.nd4j.linalg.dataset.api.iterator

Created by anton on 7/16/16.

CachingDataSetIterator(DataSetIterator, DataSetCache, String) - Constructor for class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator

CachingDataSetIterator(DataSetIterator, DataSetCache, String, boolean) - Constructor for class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator

CachingDataSetIterator(DataSetIterator, DataSetCache) - Constructor for class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator

calculateFinalResult(double, long) - Method in interface org.nd4j.linalg.api.ops.Accumulation

Calculate the final result.

calculateFinalResult(float, long) - Method in interface org.nd4j.linalg.api.ops.Accumulation

calculateFinalResult(double, long) - Method in class org.nd4j.linalg.api.ops.BaseAccumulation

calculateFinalResult(float, long) - Method in class org.nd4j.linalg.api.ops.BaseAccumulation

calculateFinalResult(double, long) - Method in class org.nd4j.linalg.api.ops.impl.accum.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

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

checkForCompression(Op) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

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

Choice - Class in org.nd4j.linalg.api.ops.random.impl

This Op implements numpy.choice method It fills Z from source, following probabilities for each source element

Choice() - Constructor for class org.nd4j.linalg.api.ops.random.impl.Choice

Choice(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.random.impl.Choice

choice(INDArray, INDArray, INDArray, Random) - Static method in class org.nd4j.linalg.factory.Nd4j

This method samples value from Source array to Target, with probabilites provided in Probs argument

choice(INDArray, INDArray, INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j

This method samples value from Source array to Target, with probabilites provided in Probs argument

choice(INDArray, INDArray, int, Random) - Static method in class org.nd4j.linalg.factory.Nd4j

This method returns new INDArray instance, sampled from Source array with probabilities given in Probs

choice(INDArray, INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j

This method returns new INDArray instance, sampled from Source array with probabilities given in Probs

chooseElementWiseTensorDimension(INDArray) - Static method in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil

Choose tensor dimension for operations with one argument: x=Op(x) or similar
When doing some operations in parallel, it is necessary to break up operations along a dimension to give a set of 1d tensors.

chooseElementWiseTensorDimension(INDArray, INDArray) - Static method in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil

Choose tensor dimension for operations with 2 arguments: x=Op(x,y) or similar

chooseElementWiseTensorDimension(INDArray, INDArray, INDArray) - Static method in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil

Choose tensor dimension for operations with 3 arguments: z=Op(x,y) or similar

chpmv(char, char, int, IComplexFloat, IComplexNDArray, IComplexNDArray, int, IComplexFloat, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

chpr(char, char, int, INDArray, IComplexNDArray, int, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

chpr2(char, char, int, IComplexFloat, IComplexNDArray, int, IComplexNDArray, int, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

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

clear() - Method in interface org.nd4j.linalg.compression.AbstractStorage

This method purges everything from storage

clear() - Method in class org.nd4j.linalg.util.DeviceLocal

This method removes object stored for current device

clearNans(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j

Clear nans from an ndarray

clone() - Method in class org.nd4j.linalg.compression.CompressionDescriptor

close() - Method in class org.nd4j.linalg.api.rng.DefaultRandom

codecs - Variable in class org.nd4j.linalg.compression.BasicNDArrayCompressor

Col2Im - Class in org.nd4j.linalg.api.ops.impl.transforms.convolution

Created by agibsonccc on 3/9/16.

Col2Im() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.convolution.Col2Im

Col2Im(INDArray, int, int, int, int, int, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.convolution.Col2Im

Col2Im(INDArray, int, int, int, int, int, int, boolean, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.convolution.Col2Im

col2im(INDArray, int[], int[], int, int) - Static method in class org.nd4j.linalg.convolution.Convolution

col2im(INDArray, int, int, int, int, int, int) - Static method in class org.nd4j.linalg.convolution.Convolution

Rearrange matrix columns into blocks

col2im(INDArray, INDArray, int, int, int, int, int, int) - Static method in class org.nd4j.linalg.convolution.Convolution

col2im(INDArray, int[], int[], int, int) - Static method in class org.nd4j.linalg.convolution.OldConvolution

col2im(INDArray, int, int, int, int, int, int) - Static method in class org.nd4j.linalg.convolution.OldConvolution

Rearrange matrix columns into blocks

collect(INDArray...) - Method in class org.nd4j.linalg.memory.BasicMemoryManager

This method detaches off-heap memory from passed INDArray instances, and optionally stores them in cache for future reuse PLEASE NOTE: Cache options depend on specific implementations

collect(INDArray...) - Method in interface org.nd4j.linalg.memory.MemoryManager

This method detaches off-heap memory from passed INDArray instances, and optionally stores them in cache for future reuse PLEASE NOTE: Cache options depend on specific implementations

columns - 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

Deprecated.

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.EqualsWithEps

combineSubResults(float, float) - Method in class org.nd4j.linalg.api.ops.impl.accum.EqualsWithEps

combineSubResults(IComplexNumber, IComplexNumber) - Method in class org.nd4j.linalg.api.ops.impl.accum.EqualsWithEps

combineSubResults(double, double) - Method in class org.nd4j.linalg.api.ops.impl.accum.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

CompareAndReplace - Class in org.nd4j.linalg.api.ops.impl.transforms.comparison

Element-wise Compare-and-Replace implementation as Op

CompareAndReplace() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndReplace

CompareAndReplace(INDArray, INDArray, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndReplace

CompareAndReplace(INDArray, INDArray, INDArray, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndReplace

CompareAndSet - Class in org.nd4j.linalg.api.ops.impl.transforms.comparison

Element-wise Compare-and-set implementation as Op

CompareAndSet() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet

CompareAndSet(INDArray, double, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet

CompareAndSet(INDArray, double, double, double, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet

CompareAndSet(INDArray, double, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet

CompareAndSet(INDArray, INDArray, double, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet

CompareAndSet(INDArray, INDArray, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet

CompareAndSet(INDArray, INDArray, INDArray, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet

CompareAndSet(INDArray, INDArray, double, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet

CompareAndSet(INDArray, INDArray, double, double, double, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet

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

compress(DataBuffer) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor

Compress the given data buffer given the default compression algorithm

compress(DataBuffer, String) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor

Compress the data buffer given a specified algorithm

compress(INDArray) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor

compress(INDArray, String) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor

Returns a compressed version of the given ndarray

compress(float[]) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor

This method returns compressed INDArray instance which contains JVM array passed in

compress(double[]) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor

This method returns compressed INDArray instance which contains JVM array passed in

compress(INDArray) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor

This method returns compressed copy of referenced array

compress(DataBuffer) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor

compress(float[]) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor

This method creates compressed INDArray from Java float array, skipping usual INDArray instantiation routines Please note: This method compresses input data as vector

compress(double[]) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor

This method creates compressed INDArray from Java double array, skipping usual INDArray instantiation routines Please note: This method compresses input data as vector

compress(float[], int[], char) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor

This method creates compressed INDArray from Java float array, skipping usual INDArray instantiation routines

compress(double[], int[], char) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor

This method creates compressed INDArray from Java double array, skipping usual INDArray instantiation routines

compressDebug - Static variable in class org.nd4j.linalg.factory.Nd4j

compressed - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArray

CompressedDataBuffer - Class in org.nd4j.linalg.compression

CompressedDataBuffer(Pointer, CompressionDescriptor) - Constructor for class org.nd4j.linalg.compression.CompressedDataBuffer

compressi(INDArray) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor

In place compression of the passed in ndarray with the default compression algorithm

compressi(INDArray, String) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor

In place Compress the given ndarray with the given algorithm

compressi(INDArray) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor

Inplace compression of INDArray

COMPRESSION_BYTE_BUFFER_LENGTH - Static variable in class org.nd4j.linalg.compression.CompressionDescriptor

COMPRESSION_DEBUG - Static variable in class org.nd4j.linalg.factory.Nd4j

CompressionAlgorithm - Enum in org.nd4j.linalg.compression

Compression algorithm enum

compressionDescriptor - Variable in class org.nd4j.linalg.compression.CompressedDataBuffer

CompressionDescriptor - Class in org.nd4j.linalg.compression

A compression descriptor containing the compression type, compression algorithm, original length, compressed length, number of elements, and the original element size

CompressionDescriptor() - Constructor for class org.nd4j.linalg.compression.CompressionDescriptor

CompressionDescriptor(DataBuffer) - Constructor for class org.nd4j.linalg.compression.CompressionDescriptor

Create a compression descriptor from the given data buffer elements

CompressionDescriptor(DataBuffer, String) - Constructor for class org.nd4j.linalg.compression.CompressionDescriptor

Initialize a compression descriptor based on the given algorithm and data buffer

CompressionDescriptor(DataBuffer, NDArrayCompressor) - Constructor for class org.nd4j.linalg.compression.CompressionDescriptor

Initialize a compression descriptor based on the given data buffer (for the sizes) and the compressor to get the type

CompressionType - Enum in org.nd4j.linalg.compression

computeGradient(INDArray, INDArray, String, INDArray) - Method in interface org.nd4j.linalg.lossfunctions.ILossFunction

Compute the gradient of the loss function with respect to the inputs: dL/dOutput

computeGradient(INDArray, INDArray, String, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT

computeGradient(INDArray, INDArray, String, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossCosineProximity

computeGradient(INDArray, INDArray, String, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossHinge

computeGradient(INDArray, INDArray, String, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossKLD

computeGradient(INDArray, INDArray, String, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL1

computeGradient(INDArray, INDArray, String, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL2

computeGradient(INDArray, INDArray, String, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAE

computeGradient(INDArray, INDArray, String, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAPE

computeGradient(INDArray, INDArray, String, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMCXENT

computeGradient(INDArray, INDArray, String, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSE

computeGradient(INDArray, INDArray, String, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSLE

computeGradient(INDArray, INDArray, String, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossPoisson

computeGradient(INDArray, INDArray, String, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossSquaredHinge

computeGradientAndScore(INDArray, INDArray, String, INDArray, boolean) - Method in interface org.nd4j.linalg.lossfunctions.ILossFunction

Compute both the score (loss function value) and gradient.

computeGradientAndScore(INDArray, INDArray, String, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT

computeGradientAndScore(INDArray, INDArray, String, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossCosineProximity

computeGradientAndScore(INDArray, INDArray, String, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossHinge

computeGradientAndScore(INDArray, INDArray, String, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossKLD

computeGradientAndScore(INDArray, INDArray, String, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL1

computeGradientAndScore(INDArray, INDArray, String, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL2

computeGradientAndScore(INDArray, INDArray, String, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAPE

computeGradientAndScore(INDArray, INDArray, String, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMCXENT

computeGradientAndScore(INDArray, INDArray, String, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSLE

computeGradientAndScore(INDArray, INDArray, String, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossPoisson

computeGradientAndScore(INDArray, INDArray, String, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossSquaredHinge

computeOut() - Method in class org.nd4j.linalg.api.shape.loop.four.RawArrayIterationInformation4

computeOut() - Method in class org.nd4j.linalg.api.shape.loop.one.RawArrayIterationInformation1

computeOut() - Method in class org.nd4j.linalg.api.shape.loop.three.RawArrayIterationInformation3

computeOut() - Method in class org.nd4j.linalg.api.shape.loop.two.RawArrayIterationInformation2

Resolve the new strides/shapes

computeScore(INDArray, INDArray, String, INDArray, boolean) - Method in interface org.nd4j.linalg.lossfunctions.ILossFunction

Compute the score (loss function value) for the given inputs.

computeScore(INDArray, INDArray, String, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT

computeScore(INDArray, INDArray, String, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossCosineProximity

computeScore(INDArray, INDArray, String, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossHinge

computeScore(INDArray, INDArray, String, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossKLD

computeScore(INDArray, INDArray, String, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL1

computeScore(INDArray, INDArray, String, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL2

computeScore(INDArray, INDArray, String, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAE

computeScore(INDArray, INDArray, String, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAPE

computeScore(INDArray, INDArray, String, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMCXENT

computeScore(INDArray, INDArray, String, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSE

computeScore(INDArray, INDArray, String, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSLE

computeScore(INDArray, INDArray, String, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossPoisson

computeScore(INDArray, INDArray, String, INDArray, boolean) - Method in class org.nd4j.linalg.lossfunctions.impl.LossSquaredHinge

computeScoreArray(INDArray, INDArray, String, INDArray) - Method in interface org.nd4j.linalg.lossfunctions.ILossFunction

Compute the score (loss function value) for each example individually.

computeScoreArray(INDArray, INDArray, String, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT

computeScoreArray(INDArray, INDArray, String, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossCosineProximity

computeScoreArray(INDArray, INDArray, String, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossHinge

computeScoreArray(INDArray, INDArray, String, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossKLD

computeScoreArray(INDArray, INDArray, String, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL1

computeScoreArray(INDArray, INDArray, String, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL2

computeScoreArray(INDArray, INDArray, String, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAE

computeScoreArray(INDArray, INDArray, String, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAPE

computeScoreArray(INDArray, INDArray, String, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMCXENT

computeScoreArray(INDArray, INDArray, String, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSE

computeScoreArray(INDArray, INDArray, String, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSLE

computeScoreArray(INDArray, INDArray, String, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossPoisson

computeScoreArray(INDArray, INDArray, String, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossSquaredHinge

concat(int, INDArray...) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

concatenate ndarrays along a dimension

concat(int, IComplexNDArray...) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

concatenate ndarrays along a dimension

concat(int, INDArray...) - Static method in class org.nd4j.linalg.factory.Nd4j

Concatneate ndarrays along a dimension

concat(int, IComplexNDArray...) - Static method in class org.nd4j.linalg.factory.Nd4j

Concatneate ndarrays along a dimension

concat(int, INDArray...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Concatneate ndarrays along a dimension

concat(int, IComplexNDArray...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Concatneate ndarrays along a dimension

cond(Condition) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

cond(Condition) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray

1 in an ndarray when condition is fulfilled, 0 otherwise(copying)(

cond(Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

cond(Condition) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

1 in the ndarray if the element matches the condition 0 otherwise

condi(Condition) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

condi(Condition) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray

1 in an ndarray when condition is fulfilled, 0 otherwise(copying)(

condi(Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

condi(Condition) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

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

condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.AbsValueGreaterThan

Returns condition ID for native side

condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.AbsValueLessThan

Returns condition ID for native side

condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.And

Returns condition ID for native side

condtionNum() - Method in interface org.nd4j.linalg.indexing.conditions.Condition

Returns condition ID for native side

condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.ConditionEquals

Returns condition ID for native side

condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.EpsilonEquals

Returns condition ID for native side

condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.EpsilonNotEquals

Returns condition ID for native side

condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.EqualsCondition

Returns condition ID for native side

condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.GreaterThan

Returns condition ID for native side

condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.GreaterThanOrEqual

Returns condition ID for native side

condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.IsInfinite

Returns condition ID for native side

condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.IsNaN

Returns condition ID for native side

condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.LessThan

Returns condition ID for native side

condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.LessThanOrEqual

Returns condition ID for native side

condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.Not

Returns condition ID for native side

condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.NotEqualsCondition

Returns condition ID for native side

condtionNum() - Method in class org.nd4j.linalg.indexing.conditions.Or

Returns condition ID for native side

conj() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

Compute complex conj.

conj() - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray

Compute complex conj.

conji() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

Compute complex conj (in-place).

conji() - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray

Compute complex conj (in-place).

CONSTANT_PROVIDER - Static variable in class org.nd4j.linalg.factory.Nd4j

ConstantHandler - Interface in org.nd4j.linalg.cache

This interface describes memory reuse strategy for java-originated arrays.

constantHandler - Static variable in class org.nd4j.linalg.factory.Nd4j

constantProviderClazz - Static variable in class org.nd4j.linalg.factory.Nd4j

contains(String) - Method in interface org.nd4j.linalg.dataset.api.iterator.cache.DataSetCache

contains(String) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InFileAndMemoryDataSetCache

contains(String) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InFileDataSetCache

contains(String) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InMemoryDataSetCache

containsKey(T) - Method in interface org.nd4j.linalg.compression.AbstractStorage

This method checks, if storage contains specified key

contentEquals(int[], DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

Compare the contents of a buffer and an array for equals

contentEquals(int[], IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

Compare the contents of a buffer and an array for equals

conv2d(INDArray, INDArray, Convolution.Type) - Method in class org.nd4j.linalg.convolution.BaseConvolution

2d convolution (aka the last 2 dimensions

conv2d(IComplexNDArray, IComplexNDArray, Convolution.Type) - Method in class org.nd4j.linalg.convolution.BaseConvolution

conv2d(INDArray, INDArray, Convolution.Type) - Static method in class org.nd4j.linalg.convolution.Convolution

2d convolution (aka the last 2 dimensions

conv2d(IComplexNDArray, IComplexNDArray, Convolution.Type) - Static method in class org.nd4j.linalg.convolution.Convolution

conv2d(INDArray, INDArray, Convolution.Type) - Method in interface org.nd4j.linalg.convolution.ConvolutionInstance

2d convolution (aka the last 2 dimensions

conv2d(IComplexNDArray, IComplexNDArray, Convolution.Type) - Method in interface org.nd4j.linalg.convolution.ConvolutionInstance

convertDataEx(DataBuffer.TypeEx, INDArray, DataBuffer.TypeEx) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

This method converts Single/Double precision databuffer to Half-precision databuffer

convertDataEx(DataBuffer.TypeEx, DataBuffer, DataBuffer.TypeEx) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

convertDataEx(DataBuffer.TypeEx, DataBuffer, DataBuffer.TypeEx, DataBuffer) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

convertDataEx(DataBuffer.TypeEx, Pointer, DataBuffer.TypeEx, Pointer, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

convertFromApacheMatrix(RealMatrix) - Static method in class org.nd4j.linalg.checkutil.CheckUtil

convertToApacheMatrix(INDArray) - Static method in class org.nd4j.linalg.checkutil.CheckUtil

convn(INDArray, INDArray, Convolution.Type) - Method in class org.nd4j.linalg.convolution.BaseConvolution

ND Convolution

convn(IComplexNDArray, IComplexNDArray, Convolution.Type) - Method in class org.nd4j.linalg.convolution.BaseConvolution

ND Convolution

convn(INDArray, INDArray, Convolution.Type, int[]) - Static method in class org.nd4j.linalg.convolution.Convolution

ND Convolution

convn(IComplexNDArray, IComplexNDArray, Convolution.Type, int[]) - Static method in class org.nd4j.linalg.convolution.Convolution

ND Convolution

convn(INDArray, INDArray, Convolution.Type) - Static method in class org.nd4j.linalg.convolution.Convolution

ND Convolution

convn(IComplexNDArray, IComplexNDArray, Convolution.Type) - Static method in class org.nd4j.linalg.convolution.Convolution

ND Convolution

convn(INDArray, INDArray, Convolution.Type, int[]) - Method in interface org.nd4j.linalg.convolution.ConvolutionInstance

ND Convolution

convn(IComplexNDArray, IComplexNDArray, Convolution.Type, int[]) - Method in interface org.nd4j.linalg.convolution.ConvolutionInstance

ND Convolution

convn(INDArray, INDArray, Convolution.Type) - Method in interface org.nd4j.linalg.convolution.ConvolutionInstance

ND Convolution

convn(IComplexNDArray, IComplexNDArray, Convolution.Type) - Method in interface org.nd4j.linalg.convolution.ConvolutionInstance

ND Convolution

convn(IComplexNDArray, IComplexNDArray, Convolution.Type, int[]) - Method in class org.nd4j.linalg.convolution.DefaultConvolutionInstance

ND Convolution

convn(INDArray, INDArray, Convolution.Type, int[]) - Method in class org.nd4j.linalg.convolution.DefaultConvolutionInstance

ND Convolution

Convolution - Class in org.nd4j.linalg.convolution

Convolution is the code for applying the convolution operator.

Convolution.Type - Enum in org.nd4j.linalg.convolution

CONVOLUTION_INSTANCE - Static variable in class org.nd4j.linalg.factory.Nd4j

CONVOLUTION_OPS - Static variable in class org.nd4j.linalg.factory.Nd4j

ConvolutionInstance - Interface in org.nd4j.linalg.convolution

Convolution instance.

convolutionInstanceClazz - Static variable in class org.nd4j.linalg.factory.Nd4j

CoordinateFunction - Interface in org.nd4j.linalg.api.shape.loop.coordinatefunction

Coordinate function for handling 1 or more calls based on a set of coordinates

copy(INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

swaps a vector with another vector.

copy(int, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

copy a vector to another vector.

copy(IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

copy a vector to another vector.

copy(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level1

copy a vector to another vector.

copy(int, DataBuffer, int, int, DataBuffer, int, int) - Method in interface org.nd4j.linalg.api.blas.Level1

copy a vector to another vector.

copy(IComplexNDArray, IComplexNDArray) - Method in interface org.nd4j.linalg.api.blas.Level1

copy() - Method in interface org.nd4j.linalg.dataset.api.DataSet

Create a copy of the DataSet

copy() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

Clone the dataset

copy() - Method in class org.nd4j.linalg.dataset.DataSet

Clone the dataset

copy() - Method in class org.nd4j.linalg.dataset.MultiDataSet

Clone the dataset

copy(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

copy(IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

copy(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Copy a to b

copy(INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper

Compute y <- x (copy a matrix)

copy(IComplexNDArray, IComplexNDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper

copy(INDArray, INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j

Copy a to b

copy(INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Copy a to b

COPY_OPS - Static variable in class org.nd4j.linalg.factory.Nd4j

CopyCoordinateFunction - Class in org.nd4j.linalg.api.shape.loop.coordinatefunction

Created by agibsonccc on 9/15/15.

CopyCoordinateFunction(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.shape.loop.coordinatefunction.CopyCoordinateFunction

copyFromReal(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

copyImagTo(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

Copy imaginary numbers to the given ndarray

CopyLoopFunction - Class in org.nd4j.linalg.api.shape.loop.two

Created by agibsonccc on 9/14/15.

CopyLoopFunction() - Constructor for class org.nd4j.linalg.api.shape.loop.two.CopyLoopFunction

copyOnOps - Static variable in class org.nd4j.linalg.factory.Nd4j

CopyOp - Class in org.nd4j.linalg.api.ops.impl.transforms.arithmetic

Copy operation

CopyOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.CopyOp

CopyOp(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.CopyOp

CopyOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.CopyOp

CopyOp(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.CopyOp

CopyOp(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.CopyOp

CopyOp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.CopyOp

copyRealTo(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

Copy real numbers to arr

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

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(long) - Method in class org.nd4j.linalg.compression.CompressedDataBuffer

Create with length

create(double[]) - Method in class org.nd4j.linalg.compression.CompressedDataBuffer

Create the data buffer with respect to the given byte buffer

create(float[]) - Method in class org.nd4j.linalg.compression.CompressedDataBuffer

Create the data buffer with respect to the given byte buffer

create(int[]) - Method in class org.nd4j.linalg.compression.CompressedDataBuffer

Create the data buffer with respect to the given byte buffer

create(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(Pointer, DataBuffer.Type, long, Indexer) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a data buffer based on a pointer with the given type and length

createBuffer(long, boolean) - Static method in class org.nd4j.linalg.factory.Nd4j

createBuffer(float[]) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a buffer based on the data type

createBuffer(double[]) - Static method in class org.nd4j.linalg.factory.Nd4j

Create a buffer based on the data type

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[]) - Method in class org.nd4j.linalg.api.ndarray.BaseShapeInfoProvider

This method creates shapeInformation buffer, based on shape being passed in

createShapeInformation(int[], char) - Method in class org.nd4j.linalg.api.ndarray.BaseShapeInfoProvider

This method creates shapeInformation buffer, based on shape & order being passed in

createShapeInformation(int[], int[], int, int, char) - Method in class org.nd4j.linalg.api.ndarray.BaseShapeInfoProvider

createShapeInformation(int[]) - Method in interface org.nd4j.linalg.api.ndarray.ShapeInfoProvider

This method creates shapeInformation buffer, based on shape being passed in

createShapeInformation(int[], char) - Method in interface org.nd4j.linalg.api.ndarray.ShapeInfoProvider

This method creates shapeInformation buffer, based on shape & order being passed in

createShapeInformation(int[], int[], int, int, char) - Method in interface org.nd4j.linalg.api.ndarray.ShapeInfoProvider

This method creates shapeInformation buffer, based on detailed shape information being passed in

createShapeInformation(int[], int[], 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

createUninitialized(int, int) - Static method in class org.nd4j.linalg.factory.Nd4j

This method returns uninitialized 2D array of rows x columns PLEASE NOTE: memory of underlying array will be NOT initialized, and won't be set to 0.0

createUninitialized(int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j

Creates an *uninitialized* ndarray with the specified shape and ordering.
NOTE: The underlying memory (DataBuffer) will not be initialized.

createUninitialized(int[]) - Static method in class org.nd4j.linalg.factory.Nd4j

Creates an *uninitialized* ndarray with the specified shape and default ordering.
NOTE: The underlying memory (DataBuffer) will not be initialized.

createUninitialized(int) - Static method in class org.nd4j.linalg.factory.Nd4j

This method creates an *uninitialized* ndarray of specified length and default ordering.

createUninitialized(int[], char) - Method in interface org.nd4j.linalg.factory.NDArrayFactory

cscal(int, IComplexFloat, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

csscal(int, float, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

cswap(int, IComplexNDArray, int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

csymm(char, char, char, int, int, IComplexFloat, IComplexNDArray, int, IComplexNDArray, int, IComplexFloat, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3

csyr2k(char, char, char, int, int, IComplexFloat, IComplexNDArray, int, IComplexNDArray, int, IComplexFloat, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3

csyrk(char, char, char, int, int, IComplexFloat, IComplexNDArray, int, IComplexFloat, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3

ctbmv(char, char, char, char, int, int, IComplexNDArray, int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

ctbsv(char, char, char, char, int, int, IComplexNDArray, int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

ctpmv(char, char, char, char, int, IComplexNDArray, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

ctpsv(char, char, char, char, int, IComplexNDArray, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

ctrmm(char, char, char, char, char, int, int, IComplexFloat, IComplexNDArray, int, IComplexNDArray, int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3

ctrmv(char, char, char, char, int, IComplexNDArray, int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

ctrsm(char, char, char, char, char, int, int, IComplexFloat, IComplexNDArray, int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3

ctrsv(char, char, char, char, int, IComplexNDArray, int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

Cube - Class in org.nd4j.linalg.api.ops.impl.transforms

Cube (x^3) elementwise function

Cube() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cube

Cube(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cube

Cube(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cube

Cube(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cube

Cube(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cube

Cube(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Cube

CubeDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms

Cube derivative, e.g.

CubeDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.CubeDerivative

CubeDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.CubeDerivative

CubeDerivative(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.CubeDerivative

CubeDerivative(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.CubeDerivative

CubeDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.CubeDerivative

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

Deprecated.

As of 3.1. In 4.0, this method will be renamed probability(double x0, double x1).

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

Deprecated.

See org.apache.commons.math3.distribution.RealDistribution#cumulativeProbability(double, double)

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 class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator

cursor() - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator

The current cursor if applicable

cursor - Variable in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher

cursor() - Method in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher

cursor() - Method in interface org.nd4j.linalg.dataset.api.iterator.fetcher.DataSetFetcher

Direct access to a number represenative of iterating through a dataset

cursor() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator

cursor value of zero indicates no iterations and the very first fold will be held out as test cursor value of 1 indicates the the next() call will return all but second fold which will be held out as test curson value of k-1 indicates the next() call will return all but the last fold which will be held out as test

cursor() - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator

Deprecated.

The current cursor if applicable

cursor() - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator

cursor() - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator

cursor() - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator

cursor() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator

cursor() - Method in class org.nd4j.linalg.dataset.ViewIterator

D

dasum(int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

dasum(int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

data - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArray

data() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

data - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArrayProxy

data() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns a linear double array representation of this ndarray

DATA_BUFFER_FACTORY_INSTANCE - Static variable in class org.nd4j.linalg.factory.Nd4j

DATA_BUFFER_OPS - Static variable in class org.nd4j.linalg.factory.Nd4j

dataBufferFactoryClazz - Static variable in class org.nd4j.linalg.factory.Nd4j

DataBufferLogEntry - Class in org.nd4j.linalg.api.instrumentation

Data buffer log entry.

DataBufferLogEntry() - Constructor for class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry

DataBufferLogEntry(DataBuffer, String) - Constructor for class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry

DataBufferLogEntry(DataBuffer) - Constructor for class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry

dataBufferToArray(DataBuffer) - Static method in class org.nd4j.linalg.cache.TadDescriptor

DataNormalization - Interface in org.nd4j.linalg.dataset.api.preprocessor

An interface for data normalizers.

DataSet - Interface in org.nd4j.linalg.dataset.api

Created by agibsonccc on 8/26/14.

DataSet - Class in org.nd4j.linalg.dataset

A data transform (example/outcome pairs) The outcomes are specifically for neural network encoding such that any labels that are considered true are 1s.

DataSet() - Constructor for class org.nd4j.linalg.dataset.DataSet

DataSet(INDArray, INDArray) - Constructor for class org.nd4j.linalg.dataset.DataSet

Creates a dataset with the specified input matrix and labels

DataSet(INDArray, INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.dataset.DataSet

Create a dataset with the specified input INDArray and labels (output) INDArray, plus (optionally) mask arrays for the features and labels

dataSetBatches(int) - Method in interface org.nd4j.linalg.dataset.api.DataSet

Deprecated.

prefer DataSet.batchBy(int)

dataSetBatches(int) - Method in class org.nd4j.linalg.dataset.DataSet

Partitions the data transform by the specified number.

DataSetCache - Interface in org.nd4j.linalg.dataset.api.iterator.cache

Created by anton on 7/16/16.

DataSetFetcher - Interface in org.nd4j.linalg.dataset.api.iterator.fetcher

A low level interface for loading datasets in to memory.

DataSetIterator - Interface in org.nd4j.linalg.dataset.api.iterator

A DataSetIterator handles traversing through a dataset and preparing

data for a neural network.

DataSetPreProcessor - Interface in org.nd4j.linalg.dataset.api

Pre process a dataset

DataSetUtil - Class in org.nd4j.linalg.dataset.api

Created by susaneraly on 9/20/16.

DataSetUtil() - Constructor for class org.nd4j.linalg.dataset.api.DataSetUtil

dataType - Variable in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry

dataType() - Static method in class org.nd4j.linalg.factory.Nd4j

Returns the data type used for the runtime

DataTypeValidation - Class in org.nd4j.linalg.factory

Data type validation

DataTypeValidation() - Constructor for class org.nd4j.linalg.factory.DataTypeValidation

daxpy(int, double, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

daxpy(int, double, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

dcopy(int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

dcopy(int, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

ddot(int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

ddot(int, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

decompress(DataBuffer) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor

Decompress the given databuffer

decompress(INDArray) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor

decompress(INDArray) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor

This method returns decompressed copy of referenced array

decompress(DataBuffer) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor

Return a compressed databuffer

decompressi(INDArray) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor

in place decompression of the given ndarray.

decompressi(INDArray) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor

Inplace decompression of INDArray

DEFAULT_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

DEFAULT_PATTERN - Static variable in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator

defaultCompression - Variable in class org.nd4j.linalg.compression.BasicNDArrayCompressor

DefaultConvolutionInstance - Class in org.nd4j.linalg.convolution

Default convolution instance (FFT based)

DefaultConvolutionInstance() - Constructor for class org.nd4j.linalg.convolution.DefaultConvolutionInstance

DefaultDistributionFactory - Class in org.nd4j.linalg.api.rng.distribution.factory

Default distribution factory

DefaultDistributionFactory() - Constructor for class org.nd4j.linalg.api.rng.distribution.factory.DefaultDistributionFactory

DefaultFFTInstance - Class in org.nd4j.linalg.fft

Default FFT instance that will work that is backend agnostic.

DefaultFFTInstance() - Constructor for class org.nd4j.linalg.fft.DefaultFFTInstance

DefaultOpExecutioner - Class in org.nd4j.linalg.api.ops.executioner

Basic op executioner.

DefaultOpExecutioner() - Constructor for class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

DefaultOpFactory - Class in org.nd4j.linalg.api.ops.factory

Default operations factory

DefaultOpFactory() - Constructor for class org.nd4j.linalg.api.ops.factory.DefaultOpFactory

DefaultRandom - Class in org.nd4j.linalg.api.rng

Apache commons based random number generation Please note: this implementation can't be used for NativeOps execution

DefaultRandom() - Constructor for class org.nd4j.linalg.api.rng.DefaultRandom

Initialize with a System.currentTimeMillis() seed

DefaultRandom(long) - Constructor for class org.nd4j.linalg.api.rng.DefaultRandom

DefaultRandom(RandomGenerator) - Constructor for class org.nd4j.linalg.api.rng.DefaultRandom

density(double) - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution

Returns the probability density function (PDF) of this distribution evaluated at the specified point x.

density(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution

density(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution

Returns the probability density function (PDF) of this distribution evaluated at the specified point x.

density(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution

Returns the probability density function (PDF) of this distribution evaluated at the specified point x.

derivative() - Method in class org.nd4j.linalg.api.ops.BaseTransformOp

derivative() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Cube

derivative() - Method in class org.nd4j.linalg.api.ops.impl.transforms.ELU

derivative() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Exp

derivative() - Method in class org.nd4j.linalg.api.ops.impl.transforms.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

deserialize(JsonParser, DeserializationContext) - Method in class org.nd4j.linalg.lossfunctions.serde.RowVectorDeserializer

DESTROYED - Static variable in interface org.nd4j.linalg.api.instrumentation.Instrumentation

DeviceLocal<T> - Class in org.nd4j.linalg.util

Class similar to Java ThreadLocal class, but locality is preserved with respect to device used

DeviceLocal() - Constructor for class org.nd4j.linalg.util.DeviceLocal

DeviceLocalNDArray - Class in org.nd4j.linalg.util

DeviceLocal implementation for INDArray, with special broadcast method

DeviceLocalNDArray() - Constructor for class org.nd4j.linalg.util.DeviceLocalNDArray

DeviceLocalNDArray(INDArray) - Constructor for class org.nd4j.linalg.util.DeviceLocalNDArray

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

diag(IComplexNDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j

Creates a new matrix where the values of the given vector are the diagonal values of the matrix if a vector is passed in, if a matrix is returns the kth diagonal in the matrix

diag(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j

Creates a new matrix where the values of the given vector are the diagonal values of the matrix if a vector is passed in, if a matrix is returns the kth diagonal in the matrix

diag(IComplexNDArray) - Static method in class org.nd4j.linalg.factory.Nd4j

Creates a new matrix where the values of the given vector are the diagonal values of the matrix if a vector is passed in, if a matrix is returns the kth diagonal in the matrix

diag(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j

Creates a new matrix where the values of the given vector are the diagonal values of the matrix if a vector is passed in, if a matrix is returns the kth diagonal in the matrix

dimension - Variable in class org.nd4j.linalg.api.ops.BaseBroadcastOp

dimShuffle(Object[], int[], boolean[]) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

Dimshuffle: an extension of permute that adds the ability to broadcast various dimensions.

dimShuffle(Object[], int[], boolean[]) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray

Dimshuffle: an extension of permute that adds the ability to broadcast various dimensions.

dimShuffle(Object[], int[], boolean[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

Dimshuffle: an extension of permute that adds the ability to broadcast various dimensions.

dimShuffle(Object[], int[], boolean[]) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Dimshuffle: an extension of permute that adds the ability to broadcast various dimensions.

disableHeartbeat() - Method in class org.nd4j.linalg.heartbeat.Heartbeat

distance1(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

Returns the (1-norm) distance.

distance1(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

Returns the (1-norm) distance.

distance1(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the (1-norm) distance.

distance2(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

Returns the (euclidean) distance.

distance2(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

Returns the (euclidean) distance.

distance2(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the (euclidean) distance.

Distribution - Interface in org.nd4j.linalg.api.rng.distribution

A probability distribution

DISTRIBUTION - Static variable in class org.nd4j.linalg.factory.Nd4j

DISTRIBUTION_FACTORY - Static variable in class org.nd4j.linalg.factory.Nd4j

DistributionFactory - Interface in org.nd4j.linalg.api.rng.distribution.factory

Create a distribution

distributionFactoryClazz - Static variable in class org.nd4j.linalg.factory.Nd4j

DistributionStats - Class in org.nd4j.linalg.dataset

Statistics about the normal distribution of values in data (means and standard deviations).

DistributionStats(INDArray, INDArray) - Constructor for class org.nd4j.linalg.dataset.DistributionStats

DistributionStats.Builder - Class in org.nd4j.linalg.dataset

Builder class that can incrementally update a running mean and variance in order to create statistics for a large set of data

div(Number, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

div(Number) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

div(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

in place (element wise) division of two matrices

div(INDArray, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

copy (element wise) division of two matrices

div(IComplexNumber, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

div(IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

div(IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray

div(IComplexNumber, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray

div(IComplexNumber) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray

div(Number, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray

div(Number) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray

div(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray

in place (element wise) division of two matrices

div(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray

copy (element wise) division of two matrices

div(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

div(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

in place (element wise) division of two matrices

div(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

copy (element wise) division of two matrices

div(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

div(IComplexNumber) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

div(IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

div(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Division by a number

div(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

div(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Copy (element wise) division of two NDArrays

div(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

copy (element wise) division of two NDArrays

div(IComplexNumber) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

div(IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

divColumnVector(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

In place addition of a column vector

divColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray

In place addition of a column vector

divColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

In place addition of a column vector

divColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Division of a column vector (copy)

divi(Number, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

divi(Number) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

divi(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

in place (element wise) division of two matrices

divi(INDArray, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

in place (element wise) division of two matrices

divi(IComplexNumber, INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

divi(IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

divi(IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

divi(IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray

divi(IComplexNumber, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray

divi(IComplexNumber) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray

divi(Number, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray

divi(Number) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray

divi(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray

in place (element wise) division of two matrices

divi(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray

in place (element wise) division of two matrices

divi(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

divi(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

in place (element wise) division of two matrices

divi(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

in place (element wise) division of two matrices

divi(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

divi(IComplexNumber) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

divi(IComplexNumber, IComplexNDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

divi(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

In place scalar division

divi(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

In place division of this ndarray

divi(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

in place (element wise) division of two NDArrays

divi(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

in place (element wise) division of two NDArrays

divi(IComplexNumber) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

divi(IComplexNumber, IComplexNDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

diviColumnVector(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

In place addition of a column vector

diviColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray

In place addition of a column vector

diviColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

In place addition of a column vector

diviColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

In place division of a column vector

divideBy(int) - Method in interface org.nd4j.linalg.dataset.api.DataSet

Divide the features by a scalar

divideBy(int) - Method in class org.nd4j.linalg.dataset.DataSet

diviRowVector(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

In place addition of a column vector

diviRowVector(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray

In place addition of a column vector

diviRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

In place addition of a column vector

diviRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

In place division of a row vector

DivOp - Class in org.nd4j.linalg.api.ops.impl.transforms.arithmetic

Division operation

DivOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.DivOp

DivOp(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.DivOp

DivOp(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.DivOp

DivOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.DivOp

DivOp(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.DivOp

DivOp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.DivOp

divRowVector(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

In place addition of a column vector

divRowVector(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray

In place addition of a column vector

divRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

In place addition of a column vector

divRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Division of a row vector (copy)

dLdZsoftmax(INDArray, INDArray) - Static method in class org.nd4j.linalg.lossfunctions.LossUtil

Calculate dL/dz for softmax activation function, from dL/da and a, where
a: output activations
dL/da: derivative of loss function with respect to the output activations
Note: This version does NOT modify either input arrays.

dLdZsoftmaxi(INDArray, INDArray) - Static method in class org.nd4j.linalg.lossfunctions.LossUtil

Calculate dL/dz for softmax activation function, from dL/da and a, where
a: output activations
dL/da: derivative of loss function with respect to the output activations
Note: This version WILL modify both input arrays (for efficiency).

dLdZsoftmaxPreOut(INDArray, INDArray) - Static method in class org.nd4j.linalg.lossfunctions.LossUtil

dnrm2(int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

doAlongDiagonal(INDArray, Function<Number, Number>) - Static method in class org.nd4j.linalg.factory.Nd4j

Perform an operation along a diagonal

doAlongDiagonal(IComplexNDArray, Function<IComplexNumber, IComplexNumber>) - Static method in class org.nd4j.linalg.factory.Nd4j

Perform an operation along a diagonal

doColumnWise(INDArray, char) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

doColumnWise(INDArray, char) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

Do a row wise op (a,s,m,d) a : add s : subtract m : multiply d : divide h : reverse subtraction t : reverse division

doFFt(IComplexNDArray, int[], int[], boolean) - Method in class org.nd4j.linalg.fft.BaseFFTInstance

doInnerFft(IComplexNDArray, int[], int[], boolean) - Method in class org.nd4j.linalg.fft.BaseFFTInstance

doPermuteSwap(IntBuffer, int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

doPermuteSwap(DataBuffer, int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

doRowWise(INDArray, char) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

doRowWise(INDArray, char) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

Do a row wise op (a,s,m,d) a : add s : subtract m : multiply d : divide h : reverse subtraction t : reverse division

dot(int, double, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

computes a vector-vector dot product.

dot(int, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

dot(int, IComplexNumber, IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

computes a vector-vector dot product.

dot(int, double, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level1

computes a vector-vector dot product.

dot(int, DataBuffer, int, int, DataBuffer, int, int) - Method in interface org.nd4j.linalg.api.blas.Level1

Vector-vector dot product

dot(int, IComplexNumber, IComplexNDArray, IComplexNDArray) - Method in interface org.nd4j.linalg.api.blas.Level1

computes a vector-vector dot product.

Dot - Class in org.nd4j.linalg.api.ops.impl.accum

Dot product

Dot() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Dot

Dot(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Dot

Dot(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Dot

Dot(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Dot

Dot(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Dot

dot(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

dot(INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper

Compute x^T * y (dot product)

dotc(IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

dotc(IComplexNDArray, IComplexNDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper

Compute x^T * y (dot product)

dotu(IComplexNDArray, IComplexNDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper

dotu(IComplexNDArray, IComplexNDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper

Compute x^T * y (dot product)

drop(T) - Method in interface org.nd4j.linalg.compression.AbstractStorage

This method removes value by specified key

DropOut - Class in org.nd4j.linalg.api.ops.random.impl

Inverted DropOut implementation as Op

DropOut() - Constructor for class org.nd4j.linalg.api.ops.random.impl.DropOut

DropOut(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.DropOut

DropOut(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.DropOut

DropOut(INDArray, INDArray, double, long) - Constructor for class org.nd4j.linalg.api.ops.random.impl.DropOut

DropOutInverted - Class in org.nd4j.linalg.api.ops.random.impl

Inverted DropOut implementation as Op

DropOutInverted() - Constructor for class org.nd4j.linalg.api.ops.random.impl.DropOutInverted

DropOutInverted(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.DropOutInverted

DropOutInverted(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.DropOutInverted

DropOutInverted(INDArray, INDArray, double, long) - Constructor for class org.nd4j.linalg.api.ops.random.impl.DropOutInverted

drot(int, INDArray, int, INDArray, int, double, double) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

drotg(double, double, double, double) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

drotm(int, INDArray, int, INDArray, int, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

drotmg(double, double, double, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

dsbmv(char, char, int, int, double, INDArray, int, INDArray, int, double, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

dscal(int, double, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

dsdot(int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

dspmv(char, char, int, double, INDArray, INDArray, int, double, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

dspr(char, char, int, double, INDArray, int, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

dspr2(char, char, int, double, INDArray, int, INDArray, int, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

dswap(int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

dsymm(char, char, char, int, int, double, INDArray, int, INDArray, int, double, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3

dsymv(char, char, int, double, INDArray, int, INDArray, int, double, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

dsyr(char, char, int, double, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

dsyr2(char, char, int, double, INDArray, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

dsyr2k(char, char, char, int, int, double, INDArray, int, INDArray, int, double, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3

dsyrk(char, char, char, int, int, double, INDArray, int, double, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3

dtbmv(char, char, char, char, int, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

dtbsv(char, char, char, char, int, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

dtpmv(char, char, char, char, int, INDArray, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

dtpsv(char, char, char, char, int, INDArray, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

dtrmm(char, char, char, char, char, int, int, double, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3

dtrmv(char, char, char, char, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

dtrsm(char, char, char, char, char, int, int, double, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3

dtrsv(char, char, char, char, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2

dtype() - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory

Returns the data type for this ndarray

DTYPE - Static variable in class org.nd4j.linalg.factory.Nd4j

dtype - Static variable in class org.nd4j.linalg.factory.Nd4j

dtype() - Method in interface org.nd4j.linalg.factory.NDArrayFactory

Returns the data type for this ndarray

dummy - Static variable in class org.nd4j.linalg.eigen.Eigen

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

dup() - Method in class org.nd4j.linalg.compression.CompressedDataBuffer

dzasum(int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

dznrm2(int, IComplexNDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1

E

Eigen - Class in org.nd4j.linalg.eigen

Compute eigen values

Eigen() - Constructor for class org.nd4j.linalg.eigen.Eigen

eigenvalues(INDArray) - Static method in class org.nd4j.linalg.eigen.Eigen

Computes the eigenvalues of a general matrix.

eigenvectors(INDArray) - Static method in class org.nd4j.linalg.eigen.Eigen

Computes the eigenvalues and eigenvectors of a general matrix.

element() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

Returns a scalar (individual element) of a scalar ndarray

element() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

Returns a scalar (individual element) of a scalar ndarray

element() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns a scalar (individual element) of a scalar ndarray

elementStride() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

elementStride() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

elementStride() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Element stride (one element to the next, also called the defualt stride: 1 for normal 2 for complex)

elementWiseStride() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

elementWiseStride() - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Element wise stride

elementWiseStride - Variable in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil.Tensor1DStats

elementWiseStride(int[], int[], boolean) - Static method in class org.nd4j.linalg.api.shape.Shape

elementWiseStride(DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

Get the element wise stride for the shape info buffer

elementWiseStride(IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape

Get the element wise stride for the shape info buffer

ELU - Class in org.nd4j.linalg.api.ops.impl.transforms

ELU: Exponential Linear Unit (alpha=1.0)
Introduced in paper:
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Djork-Arné Clevert, Thomas Unterthiner, Sepp Hochreiter (2015)
http://arxiv.org/abs/1511.07289

ELU() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ELU

ELU(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ELU

ELU(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ELU

ELU(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ELU

ELU(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ELU

ELU(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ELU

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 (all fields are null)

empty() - Static method in class org.nd4j.linalg.indexing.NDArrayIndex

Represents collecting no elements

emptyLike(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j

Empty like

ENABLED - Static variable in class org.nd4j.linalg.executors.ExecutorServiceProvider

enableFallbackMode(boolean) - Static method in class org.nd4j.linalg.factory.Nd4j

This method enables fallback to safe-mode for specific operations.

end() - Method in interface org.nd4j.linalg.indexing.INDArrayIndex

The ending for this index

end - Variable in class org.nd4j.linalg.indexing.IntervalIndex

end() - Method in class org.nd4j.linalg.indexing.IntervalIndex

end() - Method in class org.nd4j.linalg.indexing.NDArrayIndex

end() - Method in class org.nd4j.linalg.indexing.NDArrayIndexEmpty

end() - Method in class org.nd4j.linalg.indexing.NewAxis

end() - Method in class org.nd4j.linalg.indexing.PointIndex

end() - Method in class org.nd4j.linalg.indexing.SpecifiedIndex

ENFORCE_NUMERICAL_STABILITY - Static variable in class org.nd4j.linalg.factory.Nd4j

ensureAtMinRowVector(int...) - Static method in class org.nd4j.linalg.api.shape.Shape

If a shape array is ony 1 in length it returns a row vector

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

EpsilonNotEquals - Class in org.nd4j.linalg.indexing.conditions

Created by agibsonccc on 10/8/14.

EpsilonNotEquals(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.EpsilonNotEquals

EpsilonNotEquals(IComplexNumber) - Constructor for class org.nd4j.linalg.indexing.conditions.EpsilonNotEquals

epsNotEquals(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions

eq(Number) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

eq(INDArray) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

eq(IComplexNumber) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

eq(Number) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray

eq(INDArray) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray

eq(IComplexNumber) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray

eq(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

eq(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

eq(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns 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.cache.ArrayDescriptor

equals(Object) - Method in class org.nd4j.linalg.cache.TadDescriptor

equals(Object) - Method in class org.nd4j.linalg.dataset.DataSet

equals(Object) - Method in class org.nd4j.linalg.dataset.MultiDataSet

equals(IComplexNumber) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions

equals(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions

equals(Object) - Method in class org.nd4j.linalg.indexing.IntervalIndex

equals(Object) - Method in class org.nd4j.linalg.indexing.NDArrayIndex

equals(Object) - Method in class org.nd4j.linalg.indexing.PointIndex

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

equalsWithEps(Object, double) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

This method allows you to compare INDArray against other INDArray, with variable eps

equalsWithEps(Object, double) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

This method checks 2 INDArrays equality with given eps

EqualsWithEps - Class in org.nd4j.linalg.api.ops.impl.accum

Operation for fast INDArrays equality checks

EqualsWithEps() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.EqualsWithEps

EqualsWithEps(INDArray, INDArray, INDArray, long, double) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.EqualsWithEps

EqualsWithEps(INDArray, INDArray, long, double) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.EqualsWithEps

EqualsWithEps(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.EqualsWithEps

EqualTo - Class in org.nd4j.linalg.api.ops.impl.transforms.comparison

Bit mask over the ndarrays as to whether the components are equal or not

EqualTo() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.EqualTo

EqualTo(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.EqualTo

EqualTo(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.EqualTo

EqualTo(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.EqualTo

EqualTo(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.EqualTo

EuclideanDistance - Class in org.nd4j.linalg.api.ops.impl.accum.distances

Euclidean distance

EuclideanDistance() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.EuclideanDistance

EuclideanDistance(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.EuclideanDistance

EuclideanDistance(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.EuclideanDistance

EuclideanDistance(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.EuclideanDistance

EuclideanDistance(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.distances.EuclideanDistance

euclideanDistance(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Event - Enum in org.nd4j.linalg.heartbeat.reports

exampleMaxs() - Method in interface org.nd4j.linalg.dataset.api.DataSet

exampleMaxs() - Method in class org.nd4j.linalg.dataset.DataSet

exampleMeans() - Method in interface org.nd4j.linalg.dataset.api.DataSet

exampleMeans() - Method in class org.nd4j.linalg.dataset.DataSet

exampleSums() - Method in interface org.nd4j.linalg.dataset.api.DataSet

exampleSums() - Method in class org.nd4j.linalg.dataset.DataSet

exec() - Method in class org.nd4j.linalg.api.ops.BaseOp

exec(int...) - Method in class org.nd4j.linalg.api.ops.BaseOp

exec(Op) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

exec(Op, int...) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

exec(Accumulation, int...) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

exec(Variance, boolean, int...) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

exec(IndexAccumulation, int...) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

exec(BroadcastOp, int...) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

exec(MetaOp) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

exec(GridOp) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

exec(Batch<T>) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

exec(Aggregate) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

exec(List<Aggregate>) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

exec(RandomOp) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

This method executes specified RandomOp using default RNG available via Nd4j.getRandom()

exec(RandomOp, Random) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

This method executes specific RandomOp against specified RNG

exec(Op) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

Execute the operation

exec(Op, int...) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

Execute the operation along 1 or more dimensions

exec(Accumulation, int...) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

Execute an accumulation along one or more dimensions

exec(BroadcastOp, int...) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

Execute an broadcast along one or more dimensions

exec(Variance, boolean, int...) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

Execute an accumulation along one or more dimensions

exec(IndexAccumulation, int...) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

Execute an index accumulation along one or more dimensions

exec(MetaOp) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

Execute MetaOp

exec(GridOp) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

Execute GridOp

exec(Aggregate) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

exec(Batch<T>) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

This method executes previously built batch

exec(List<Aggregate>) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

This method takes abritrary sized list of aggregates, and packs them into batches

exec(RandomOp) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

This method executes specified RandomOp using default RNG available via Nd4j.getRandom()

exec(RandomOp, Random) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

This method executes specific RandomOp against specified RNG

exec() - Method in class org.nd4j.linalg.api.ops.impl.accum.Bias

exec(int...) - Method in class org.nd4j.linalg.api.ops.impl.accum.Bias

exec() - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.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() - Method in class org.nd4j.linalg.api.ops.impl.transforms.LogSoftMax

exec(int...) - Method in class org.nd4j.linalg.api.ops.impl.transforms.LogSoftMax

exec() - Method in class org.nd4j.linalg.api.ops.impl.transforms.SoftMax

exec(int...) - Method in class org.nd4j.linalg.api.ops.impl.transforms.SoftMax

exec(int...) - Method in class org.nd4j.linalg.api.ops.impl.transforms.SoftMaxDerivative

exec() - Method in class org.nd4j.linalg.api.ops.impl.transforms.VectorFFT

exec() - Method in class org.nd4j.linalg.api.ops.impl.transforms.VectorIFFT

exec() - Method in interface org.nd4j.linalg.api.ops.Op

Execute the op if its pass through (not needed most of the time)

exec(int...) - Method in interface org.nd4j.linalg.api.ops.Op

Exec along each dimension

exec() - Method in class org.nd4j.linalg.api.ops.TadCollapseAccumulation

exec(int...) - Method in class org.nd4j.linalg.api.ops.TadCollapseAccumulation

exec(INDArrayIndex...) - Method in class org.nd4j.linalg.indexing.ShapeOffsetResolution

Based on the passed in array compute the shape,offsets, and strides for the given indexes

EXEC_THREADS - Static variable in class org.nd4j.linalg.executors.ExecutorServiceProvider

execAndReturn(Op) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

execAndReturn(TransformOp) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

execAndReturn(Accumulation) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

execAndReturn(Variance, boolean) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

execAndReturn(ScalarOp) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

execAndReturn(IndexAccumulation) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

execAndReturn(BroadcastOp) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

execAndReturn(TransformOp) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

Execute a TransformOp and return the result

execAndReturn(Accumulation) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

Execute and return the result from an accumulation

execAndReturn(Variance, boolean) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

Execute and return the result from an accumulation

execAndReturn(IndexAccumulation) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

Execute and return the result from an index accumulation

execAndReturn(ScalarOp) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

Execute and return the result from a scalar op

execAndReturn(BroadcastOp) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

Execute and return the result from a vector op

execAndReturn(Op) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

Execute and return a result ndarray from the given op

executed - Variable in class org.nd4j.linalg.api.ops.impl.transforms.VectorFFT

executed - Variable in class org.nd4j.linalg.api.ops.impl.transforms.VectorIFFT

EXECUTION_MODE - Static variable in class org.nd4j.linalg.factory.Nd4j

executionMode - Variable in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

executionMode() - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

executionMode() - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

Get the execution mode for this execuioner

executionMode - Static variable in class org.nd4j.linalg.factory.Nd4j

ExecutorServiceProvider - Class in org.nd4j.linalg.executors

ExecutorServiceProvider() - Constructor for class org.nd4j.linalg.executors.ExecutorServiceProvider

ExistingMiniBatchDataSetIterator - Class in org.nd4j.linalg.dataset

Read in existing mini batches created by the mini batch file datasetiterator.

ExistingMiniBatchDataSetIterator(File) - Constructor for class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator

Create with the given root directory, using the default filename pattern ExistingMiniBatchDataSetIterator.DEFAULT_PATTERN

ExistingMiniBatchDataSetIterator(File, String) - Constructor for class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator

Exp - Class in org.nd4j.linalg.api.ops.impl.transforms

Exp elementwise function

Exp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Exp

Exp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Exp

Exp(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Exp

Exp(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Exp

Exp(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Exp

exp(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

exp(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Exp function

exp(IComplexNDArray) - Static method in class org.nd4j.linalg.util.ComplexNDArrayUtil

exp(IComplexNumber) - Static method in class org.nd4j.linalg.util.ComplexUtil

Returns the exp of a complex number: Let r be the realComponent component and i be the imaginary Let ret be the complex number returned ret -> exp(r) * cos(i), exp(r) * sin(i) where the first number is the realComponent component and the second number is the imaginary component

exp(IComplexDouble) - Static method in class org.nd4j.linalg.util.ComplexUtil

Returns the exp of a complex number: Let r be the realComponent component and i be the imaginary Let ret be the complex number returned ret -> exp(r) * cos(i), exp(r) * sin(i) where the first number is the realComponent component and the second number is the imaginary component

exp(IComplexFloat) - Static method in class org.nd4j.linalg.util.ComplexUtil

Returns the exp of a complex number: Let r be the realComponent component and i be the imaginary Let ret be the complex number returned ret -> exp(r) * cos(i), exp(r) * sin(i) where the first number is the realComponent component and the second number is the imaginary component

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

F

factory() - Static method in class org.nd4j.linalg.factory.Nd4j

The factory used for creating ndarrays

fallbackMode - Static variable in class org.nd4j.linalg.factory.Nd4j

FeatureUtil - Class in org.nd4j.linalg.util

Feature matrix related jcuda.utils

FeatureUtil() - Constructor for class org.nd4j.linalg.util.FeatureUtil

fetch(int) - Method in interface org.nd4j.linalg.dataset.api.iterator.fetcher.DataSetFetcher

Fetches the next dataset.

fetcher - Variable in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator

fft(INDArray, int) - Method in class org.nd4j.linalg.fft.BaseFFTInstance

FFT along a particular dimension

fft(IComplexNDArray) - Method in class org.nd4j.linalg.fft.BaseFFTInstance

1d discrete fourier op, note that this will throw an exception if the passed in input isn't a vector.

fft(INDArray) - Method in class org.nd4j.linalg.fft.BaseFFTInstance

1d discrete fourier op, note that this will throw an exception if the passed in input isn't a vector.

fft(IComplexNDArray, int) - Method in class org.nd4j.linalg.fft.BaseFFTInstance

1d discrete fourier op, note that this will throw an exception if the passed in input isn't a vector.

fft(INDArray, int, int) - Method in class org.nd4j.linalg.fft.DefaultFFTInstance

FFT along a particular dimension

fft(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.

FFT - Class in org.nd4j.linalg.fft

FFT and IFFT

FFT() - Constructor for class org.nd4j.linalg.fft.FFT

fft(INDArray, int) - Static method in class org.nd4j.linalg.fft.FFT

FFT along a particular dimension

fft(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.

fft(INDArray) - 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.

fft(INDArray, int, int) - Static method in class org.nd4j.linalg.fft.FFT

FFT along a particular dimension

fft(IComplexNDArray, 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.

fft(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.

fft(INDArray, int) - Method in interface org.nd4j.linalg.fft.FFTInstance

FFT along a particular dimension

fft(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.

fft(INDArray) - 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.

fft(INDArray, int, int) - Method in interface org.nd4j.linalg.fft.FFTInstance

FFT along a particular dimension

fft(IComplexNDArray, 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.

fft(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.

FFT_INSTANCE - Static variable in class org.nd4j.linalg.factory.Nd4j

FFT_OPS - Static variable in class org.nd4j.linalg.factory.Nd4j

FFTInstance - Interface in org.nd4j.linalg.fft

Base line fft methods

fftInstanceClazz - Static variable in class org.nd4j.linalg.factory.Nd4j

fftLength - Variable in class org.nd4j.linalg.api.ops.impl.transforms.VectorFFT

fftLength - Variable in class org.nd4j.linalg.api.ops.impl.transforms.VectorIFFT

fftn(IComplexNDArray, int, int) - Method in class org.nd4j.linalg.fft.BaseFFTInstance

Performs FFT along the first non singleton dimension of op.

fftn(INDArray, int, int) - Method in class org.nd4j.linalg.fft.BaseFFTInstance

Computes the fft along the first non singleton dimension of op when it is a matrix

fftn(INDArray) - Method in class org.nd4j.linalg.fft.BaseFFTInstance

FFT on the whole array (n is equal the first dimension shape)

fftn(IComplexNDArray) - Method in class org.nd4j.linalg.fft.BaseFFTInstance

FFT on the whole array (n is equal the first dimension shape)

fftn(IComplexNDArray, int, int) - Static method in class org.nd4j.linalg.fft.FFT

Performs FFT along the first non singleton dimension of op.

fftn(INDArray, int, int) - Static method in class org.nd4j.linalg.fft.FFT

Computes the fft along the first non singleton dimension of op when it is a matrix

fftn(INDArray) - Static method in class org.nd4j.linalg.fft.FFT

FFT on the whole array (n is equal the first dimension shape)

fftn(IComplexNDArray) - Static method in class org.nd4j.linalg.fft.FFT

FFT on the whole array (n is equal the first dimension shape)

fftn(IComplexNDArray, int, int) - Method in interface org.nd4j.linalg.fft.FFTInstance

Performs FFT along the first non singleton dimension of op.

fftn(INDArray, int, int) - Method in interface org.nd4j.linalg.fft.FFTInstance

Computes the fft along the first non singleton dimension of op when it is a matrix

fftn(INDArray) - Method in interface org.nd4j.linalg.fft.FFTInstance

FFT on the whole array (n is equal the first dimension shape)

fftn(IComplexNDArray) - Method in interface org.nd4j.linalg.fft.FFTInstance

FFT on the whole array (n is equal the first dimension shape)

fillIn(int[], INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.Indices

Fill in the missing indices to be the same length as the original shape.

filterAndStrip(int[]) - Method in interface org.nd4j.linalg.dataset.api.DataSet

filterAndStrip(int[]) - Method in class org.nd4j.linalg.dataset.DataSet

Strips the dataset down to the specified labels and remaps them

filterBy(int[]) - Method in interface org.nd4j.linalg.dataset.api.DataSet

filterBy(int[]) - Method in class org.nd4j.linalg.dataset.DataSet

Strips the data transform of all but the passed in labels

finalResult - Variable in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate

finalResult - Variable in class org.nd4j.linalg.api.ops.BaseAccumulation

finalResult - Variable in class org.nd4j.linalg.api.ops.BaseIndexAccumulation

finalResultComplex - Variable in class org.nd4j.linalg.api.ops.BaseAccumulation

FirstAxisIterator - Class in org.nd4j.linalg.api.iter

FirstAxisIterator(INDArray) - Constructor for class org.nd4j.linalg.api.iter.FirstAxisIterator

firstTensorOffset - Variable in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil.Tensor1DStats

fit(DataSet) - Method in class org.nd4j.linalg.dataset.api.iterator.StandardScaler

Deprecated.

fit(DataSetIterator) - Method in class org.nd4j.linalg.dataset.api.iterator.StandardScaler

Deprecated.

Fit the given model

fit(DataSet) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.DataNormalization

Fit a dataset (only compute based on the statistics from this dataset0

fit(DataSetIterator) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.DataNormalization

Iterates over a dataset accumulating statistics for normalization

fit(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler

Fit a dataset (only compute based on the statistics from this dataset0

fit(DataSetIterator) - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler

Iterates over a dataset accumulating statistics for normalization

fit(MultiDataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize

Fit the model with a MultiDataSet to calculate means and standard deviations with

fit(MultiDataSetIterator) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize

FFit the model with a MultiDataSetIterator to calculate means and standard deviations with

fit(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler

fit(DataSetIterator) - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler

Fit the given model

fit(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize

Fit the given model with dataset to calculate mean and std dev with

fit(DataSetIterator) - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize

Fit the given model with a given iterator to calculate mean and std dev with

fitLabel(boolean) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.DataNormalization

Flag to specify if the labels/outputs in the dataset should be also normalized.

fitLabel(boolean) - Method in class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler

fitLabel(boolean) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize

fitLabel(boolean) - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler

Flag to specify if the labels/outputs in the dataset should be also normalized default value is false

fitLabel(boolean) - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize

Flag to specify if the labels/outputs in the dataset should be also normalized default value is false

FlatIterator - Class in org.nd4j.linalg.api.iter

Created by agibsonccc on 9/15/15.

FlatIterator(int[]) - Constructor for class org.nd4j.linalg.api.iter.FlatIterator

Floor - Class in org.nd4j.linalg.api.ops.impl.transforms

Floor elementwise function

Floor() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Floor

Floor(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Floor

Floor(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Floor

Floor(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Floor

Floor(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Floor

floor(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Binary matrix of whether the number at a given index is greater than

floor(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms

Floor function

floor(IComplexNumber) - Static method in class org.nd4j.linalg.util.ComplexUtil

Return the floor value of the given complex number

flushQueue() - Method in interface org.nd4j.linalg.api.ops.executioner.GridExecutioner

This method forces all currently enqueued ops to be executed immediately PLEASE NOTE: This call CAN be non-blocking, if specific backend implementation supports that.

flushQueueBlocking() - Method in interface org.nd4j.linalg.api.ops.executioner.GridExecutioner

This method forces all currently enqueued ops to be executed immediately PLEASE NOTE: This call is always blocking, until all queued operations are finished

format(INDArray) - Method in class org.nd4j.linalg.string.NDArrayStrings

Format the given ndarray as a string

FORTRAN - Static variable in interface org.nd4j.linalg.factory.NDArrayFactory

FreeGridOp - Class in org.nd4j.linalg.api.ops.impl.grid

Simple GridOp that operates on arbitrary number of Ops, that have no relations between them.

FreeGridOp() - Constructor for class org.nd4j.linalg.api.ops.impl.grid.FreeGridOp

FreeGridOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.grid.FreeGridOp

FreeGridOp(Op...) - Constructor for class org.nd4j.linalg.api.ops.impl.grid.FreeGridOp

FreeGridOp(List<Op>) - Constructor for class org.nd4j.linalg.api.ops.impl.grid.FreeGridOp

fromByteArray(byte[]) - Static method in class org.nd4j.linalg.factory.Nd4j

Read an ndarray from a byte array

fromByteBuffer(ByteBuffer) - Static method in class org.nd4j.linalg.compression.CompressionDescriptor

Instantiate a compression descriptor from the given bytebuffer

fromString(String) - Static method in enum org.nd4j.linalg.compression.CompressionAlgorithm

Return the appropriate compression algorithm from the given string

G

GaussianDistribution - Class in org.nd4j.linalg.api.ops.random.impl

This Op generates normal distribution over provided mean and stddev

GaussianDistribution() - Constructor for class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution

GaussianDistribution(INDArray, double, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution

This op fills Z with random values within stddev..mean..stddev boundaries

GaussianDistribution(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution

GaussianDistribution(INDArray) - Constructor for class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution

This op fills Z with random values within -1.0..0..1.0

GaussianDistribution(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution

This op fills Z with random values within stddev..0..stddev

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(T) - Method in interface org.nd4j.linalg.compression.AbstractStorage

Get object from the storage, by key

get(int) - Method in interface org.nd4j.linalg.dataset.api.DataSet

get(int[]) - Method in interface org.nd4j.linalg.dataset.api.DataSet

get(String) - Method in interface org.nd4j.linalg.dataset.api.iterator.cache.DataSetCache

get(String) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InFileAndMemoryDataSetCache

get(String) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InFileDataSetCache

get(String) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InMemoryDataSetCache

get(int) - Method in class org.nd4j.linalg.dataset.DataSet

Gets a copy of example i

get(int[]) - Method in class org.nd4j.linalg.dataset.DataSet

Gets a copy of example i

get() - Method in class org.nd4j.linalg.util.DeviceLocal

This method returns object local to current deviceId

get(int) - Method in class org.nd4j.linalg.util.DeviceLocal

This method returns object local to target device

get1DTensorStats(INDArray, int...) - Static method in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil

Tensor1DStats, used to efficiently iterate through tensors on a matrix (2d NDArray) for element-wise ops For example, the offset of each 1d tensor can be calculated using only a single tensorAlongDimension method call, hence is potentially faster than approaches requiring multiple tensorAlongDimension calls.
Note that this can only (generally) be used for 2d NDArrays.

get3dPermutedWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

get3dReshapedWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

get3dSubArraysWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

get3dTensorAlongDimensionWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

get4dPermutedWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

get4dReshapedWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

get4dSubArraysWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

get4dTensorAlongDimensionWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

get5dPermutedWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

get5dReshapedWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

get5dSubArraysWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

get5dTensorAlongDimensionWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

get6dPermutedWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

get6dReshapedWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

get6dSubArraysWithShape(int, int...) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil

getAccum() - Method in class org.nd4j.linalg.api.ops.TadCollapseAccumulation

getAffinityManager() - Static method in class org.nd4j.linalg.factory.Nd4j

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

Deprecated.

Use Updater view array functionality instead

getAggregator(boolean) - Method in class org.nd4j.linalg.learning.Nesterovs

getAggregator(boolean) - Method in class org.nd4j.linalg.learning.NoOpUpdater

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

getArguments() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate

getArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate

getArr() - Method in class org.nd4j.linalg.indexing.ShapeOffsetResolution

getAvailableCompressors() - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor

Get the set of available codecs for compression

getBackend() - Static method in class org.nd4j.linalg.factory.Nd4j

getBatches(List<U>) - Static method in class org.nd4j.linalg.api.ops.aggregates.Batch

Helper method to create batch from list of aggregates, for cases when list of aggregates is higher then batchLimit

getBatches(List<U>, int) - Static method in class org.nd4j.linalg.api.ops.aggregates.Batch

Helper method to create batch from list of aggregates, for cases when list of aggregates is higher then batchLimit

getBlasOffset(INDArray) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil

Get blas stride for the given array

getBlasStride(INDArray) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil

Get blas stride for the given array

getBlasWrapper() - Static method in class org.nd4j.linalg.factory.Nd4j

getCharForTranspose(INDArray) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil

Returns the proper character for how to interpret a buffer (fortran being N C being T)

getColumn(int) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

Get the specified column

getColumn(int) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray

Returns the specified column.

getColumn(int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

Get the specified column

getColumn(int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the specified column.

getColumnNames() - Method in interface org.nd4j.linalg.dataset.api.DataSet

getColumnNames() - Method in class org.nd4j.linalg.dataset.DataSet

Deprecated.

getColumns(int[]) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

Get whole columns from the passed indices.

getColumns(int[]) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray

getColumns(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

Get whole columns from the passed indices.

getColumns(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Get 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

getComplexDouble(long) - Method in class org.nd4j.linalg.compression.CompressedDataBuffer

getComplexFloat(long) - Method in class org.nd4j.linalg.compression.CompressedDataBuffer

getComplexStrides(int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j

Get the strides for the given order and shape

getComplexStrides(int[]) - Static method in class org.nd4j.linalg.factory.Nd4j

Get the strides based on the shape and NDArrays.order()

getCompressionType() - Method in interface org.nd4j.linalg.compression.NDArrayCompressor

This method returns compression type provided by specific NDArrayCompressor implementation

getCompressor() - Static method in class org.nd4j.linalg.factory.Nd4j

This method returns BasicNDArrayCompressor instance, suitable for NDArray compression/decompression at runtime

getConstantBuffer(int[]) - Method in interface org.nd4j.linalg.cache.ConstantHandler

This method returns DataBuffer with contant equal to input array.

getConstantBuffer(float[]) - Method in interface org.nd4j.linalg.cache.ConstantHandler

This method returns DataBuffer with contant equal to input array.

getConstantBuffer(double[]) - Method in interface org.nd4j.linalg.cache.ConstantHandler

This method returns DataBuffer with contant equal to input array.

getConstantHandler() - Static method in class org.nd4j.linalg.factory.Nd4j

getConvolution() - Static method in class org.nd4j.linalg.factory.Nd4j

Get the convolution singleton

getDataBufferFactory() - Static method in class org.nd4j.linalg.factory.Nd4j

getDataBufferLogEntries() - Method in class org.nd4j.linalg.api.instrumentation.InMemoryInstrumentation

getDataType() - Method in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry

getDataType() - Method in class org.nd4j.linalg.api.instrumentation.LogEntry

getDefaultCompression() - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor

Get the default compression algorithm as a string.

getDescriptor() - Method in interface org.nd4j.linalg.compression.NDArrayCompressor

This method returns compression descriptor.

getDestroyed() - Method in class org.nd4j.linalg.api.instrumentation.InMemoryInstrumentation

getDestroyed() - Method in interface org.nd4j.linalg.api.instrumentation.Instrumentation

Get the destroyed ndarrays

getDeviancePart(double, double) - Static method in class org.nd4j.linalg.api.rng.distribution.impl.SaddlePointExpansion

A part of the deviance portion of the saddle point approximation.

getDeviceForCurrentThread() - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager

This method returns deviceId for current thread

getDeviceForCurrentThread() - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager

getDeviceForThread(Thread) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager

This method returns deviceId for specified thread

getDeviceForThread(long) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager

This method returns

getDeviceForThread(Thread) - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager

getDeviceForThread(long) - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager

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

getEntries() - Method in class org.nd4j.linalg.api.instrumentation.InMemoryInstrumentation

getEnvironmentInformation() - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner

This method return set of key/value and key/key/value objects, describing current environment

getEnvironmentInformation() - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner

This method return set of key/value and key/key/value objects, describing current environment

getExampleMetaData(Class<T>) - Method in interface org.nd4j.linalg.dataset.api.DataSet

Get the example metadata, or null if no metadata has been set
Note: this method results in an unchecked cast - care should be taken when using this!

getExampleMetaData() - Method in interface org.nd4j.linalg.dataset.api.DataSet

Get the example metadata, or null if no metadata has been set

getExampleMetaData(Class<T>) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

Get the example metadata, or null if no metadata has been set
Note: this method results in an unchecked cast - care should be taken when using this!

getExampleMetaData() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

Get the example metadata, or null if no metadata has been set

getExampleMetaData() - Method in class org.nd4j.linalg.dataset.DataSet

getExampleMetaData(Class<T>) - Method in class org.nd4j.linalg.dataset.DataSet

getExampleMetaData() - Method in class org.nd4j.linalg.dataset.MultiDataSet

getExampleMetaData(Class<T>) - Method in class org.nd4j.linalg.dataset.MultiDataSet

getExecutioner() - Static method in class org.nd4j.linalg.factory.Nd4j

Get the operation executioner instance

getExecutorService() - Static method in class org.nd4j.linalg.executors.ExecutorServiceProvider

getFeatureMatrix() - Method in interface org.nd4j.linalg.dataset.api.DataSet

Deprecated.

Use DataSet.getFeatures()

getFeatureMatrix() - Method in class org.nd4j.linalg.dataset.DataSet

Get the feature matrix (inputs for the data)

getFeatureMean(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize

getFeatures() - Method in interface org.nd4j.linalg.dataset.api.DataSet

Returns the features array for the DataSet

getFeatures() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

Get all of the input features, as an array of INDArrays

getFeatures(int) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

Get a single feature/input array

getFeatures() - Method in class org.nd4j.linalg.dataset.DataSet

getFeatures() - Method in class org.nd4j.linalg.dataset.MultiDataSet

getFeatures(int) - Method in class org.nd4j.linalg.dataset.MultiDataSet

getFeaturesMaskArray() - Method in interface org.nd4j.linalg.dataset.api.DataSet

Input mask array: a mask array for input, where each value is in {0,1} in order to specify whether an input is actually present or not.

getFeaturesMaskArray(int) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

Get the specified feature mask array.

getFeaturesMaskArray() - Method in class org.nd4j.linalg.dataset.DataSet

getFeaturesMaskArray(int) - Method in class org.nd4j.linalg.dataset.MultiDataSet

getFeaturesMaskArrays() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

Get the feature mask arrays.

getFeaturesMaskArrays() - Method in class org.nd4j.linalg.dataset.MultiDataSet

getFeatureStd(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize

getFFt() - Static method in class org.nd4j.linalg.factory.Nd4j

Returns the fft instance

getFftOp(INDArray, int) - Method in class org.nd4j.linalg.fft.DefaultFFTInstance

getFinalResult() - Method in interface org.nd4j.linalg.api.ops.Accumulation

Get the final result (may return null if getAndSetFinalResult has not been called, or for accumulation ops on complex arrays)

getFinalResult() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate

getFinalResult() - Method in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate

getFinalResult() - Method in class org.nd4j.linalg.api.ops.BaseAccumulation

getFinalResult() - Method in class org.nd4j.linalg.api.ops.BaseIndexAccumulation

getFinalResult() - Method in interface org.nd4j.linalg.api.ops.IndexAccumulation

Get the final result of the IndexAccumulation

getFinalResultComplex() - Method in interface org.nd4j.linalg.api.ops.Accumulation

getFinalResultComplex() - Method in class org.nd4j.linalg.api.ops.BaseAccumulation

getFirstOp() - Method in class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp

getFirstOp() - Method in interface org.nd4j.linalg.api.ops.MetaOp

getFirstOpDescriptor() - Method in class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp

getFirstOpDescriptor() - Method in interface org.nd4j.linalg.api.ops.MetaOp

getFloat(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

Returns the elements at the the specified indices

getFloat(int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

getFloat(int, int) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray

getFloat(int[]) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Returns the elements at the the specified indices

getFloat(int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Return the item at the linear index i

getFloat(int, int) - Method in interface org.nd4j.linalg.api.ndarray.INDArray

Return the item at row i column j Note that this is the same as calling getScalar(new int[]{i,j}

getFloatData(INDArray) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil

Returns the float data for this ndarray.

getFloatData(DataBuffer) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil

Returns the float data for this buffer.

getFloatData(INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel

getFloatData(DataBuffer) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel

getForkJoinPool() - Static method in class org.nd4j.linalg.executors.ExecutorServiceProvider

getGradient(INDArray, int) - Method in class org.nd4j.linalg.learning.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.NoOpUpdater

getGradient(INDArray, int) - Method in class org.nd4j.linalg.learning.RmsProp

getGradient(INDArray, int) - Method in class org.nd4j.linalg.learning.Sgd

getGridDescriptor() - Method in interface org.nd4j.linalg.api.ops.GridOp

getGridDescriptor() - Method in class org.nd4j.linalg.api.ops.impl.grid.BaseGridOp

getId() - Method in class org.nd4j.linalg.api.instrumentation.LogEntry

getIfftOp(INDArray, int) - Method in class org.nd4j.linalg.fft.DefaultFFTInstance

getILossFunction() - Method in enum org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction

getImag(int) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

getImag(int) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray

Get the imaginary component at the specified index

getIndexingArguments() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate

getIndexingArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate

getInstance() - Static method in class org.nd4j.linalg.compression.BasicNDArrayCompressor

Get the ndarray compressor singleton

getInstance() - Static method in class org.nd4j.linalg.heartbeat.Heartbeat

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

getIntArrayArguments() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate

getIntArrayArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate

getLabelMax() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler

getLabelMean(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize

getLabelMean() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize

getLabelMin() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler

getLabelName(int) - Method in interface org.nd4j.linalg.dataset.api.DataSet

getLabelName(int) - Method in class org.nd4j.linalg.dataset.DataSet

getLabelNames() - Method in interface org.nd4j.linalg.dataset.api.DataSet

Deprecated.

getLabelNames(INDArray) - Method in interface org.nd4j.linalg.dataset.api.DataSet

getLabelNames(INDArray) - Method in class org.nd4j.linalg.dataset.DataSet

getLabelNames() - Method in class org.nd4j.linalg.dataset.DataSet

Deprecated.

getLabelNamesList() - Method in interface org.nd4j.linalg.dataset.api.DataSet

getLabelNamesList() - Method in class org.nd4j.linalg.dataset.DataSet

Gets the optional label names

getLabels() - Method in interface org.nd4j.linalg.dataset.api.DataSet

getLabels() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator

getLabels() - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator

getLabels() - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator

Get dataset iterator record reader labels

getLabels() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator

getLabels() - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator

Deprecated.

getLabels() - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator

getLabels() - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator

getLabels() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

Get all of the labels, as an array of INDArrays

getLabels(int) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

Get a single label/output array

getLabels() - Method in class org.nd4j.linalg.dataset.DataSet

Returns the labels for the dataset

getLabels() - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator

getLabels() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator

getLabels() - Method in class org.nd4j.linalg.dataset.MultiDataSet

getLabels(int) - Method in class org.nd4j.linalg.dataset.MultiDataSet

getLabels() - Method in class org.nd4j.linalg.dataset.ViewIterator

getLabelsMaskArray() - Method in interface org.nd4j.linalg.dataset.api.DataSet

Labels (output) mask array: a mask array for input, where each value is in {0,1} in order to specify whether an output is actually present or not.

getLabelsMaskArray(int) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

Get the specified label mask array.

getLabelsMaskArray() - Method in class org.nd4j.linalg.dataset.DataSet

getLabelsMaskArray(int) - Method in class org.nd4j.linalg.dataset.MultiDataSet

getLabelsMaskArrays() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet

Get the labels mask arrays.

getLabelsMaskArrays() - Method in class org.nd4j.linalg.dataset.MultiDataSet

getLabelStd(int) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize

getLabelStd() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize

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

getMax() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler

getMean() - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution

Access the mean.

getMean() - Method in class org.nd4j.linalg.dataset.api.iterator.StandardScaler

Deprecated.

getMean() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize

getMemoryManager() - Static method in class org.nd4j.linalg.factory.Nd4j

This method returns backend-specific MemoryManager implementation, for low-level memory management

getMin() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler

getNDArrayFactory() - Static method in class org.nd4j.linalg.factory.Nd4j

getNdArrayType() - Method in class org.nd4j.linalg.api.instrumentation.LogEntry

getNewRandomInstance() - Method in class org.nd4j.linalg.factory.RandomFactory

This method returns new onject implementing Random interface, initialized with System.currentTimeMillis() as seed

getNewRandomInstance(long) - Method in class org.nd4j.linalg.factory.RandomFactory

This method returns new onject implementing Random interface, initialized with seed value

getNewRandomInstance(long, long) - Method in class org.nd4j.linalg.factory.RandomFactory

This method returns new onject implementing Random interface, initialized with seed value, with size of elements in buffer

getNumberOfDevices() - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager

This method returns number of available devices

getNumberOfDevices() - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager

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

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

getOffsets() - Method in class org.nd4j.linalg.indexing.ShapeOffsetResolution

getOffsetUnsafe(DataBuffer, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape

Identical to Shape.getOffset(DataBuffer, int, int) but without input validation on array rank

getOffsetUnsafe(DataBuffer, int, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape

Identical to Shape.getOffset(DataBuffer, int, int, int) but without input validation on array rank

getOffsetUnsafe(DataBuffer, int, int, int, int) - Static method in class org.nd4j.linalg.api.shape.Shape

getOpFactory() - Static method in class org.nd4j.linalg.factory.Nd4j

Get the operation factory

getOpType(Op) - Static method in class org.nd4j.linalg.api.ops.BaseOp

getOrder(int[], int[], int) - Static method in class org.nd4j.linalg.api.shape.Shape

Infer order from

getOrder(INDArray) - Static method in class org.nd4j.linalg.api.shape.Shape

Infer the order for the ndarray based on the array's strides

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

getPreProcessor() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator

getPreProcessor() - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator

getPreProcessor() - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator

Returns preprocessors, if defined

getPreProcessor() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator

getPreProcessor() - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator

Deprecated.

getPreProcessor() - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator

getPreProcessor() - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator

getPreProcessor() - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator

getPreProcessor() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator

getPreProcessor() - Method in class org.nd4j.linalg.dataset.ViewIterator

getProbabilityOfSuccess() - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution

Access the probability of success for this distribution.

getQueueLength() - Method in interface org.nd4j.linalg.api.ops.executioner.GridExecutioner

This method returns number of operations currently enqueued for execution

getRandom() - Static method in class org.nd4j.linalg.factory.Nd4j

Get the current random generator

getRandom() - Method in class org.nd4j.linalg.factory.RandomFactory

This method returns Random implementation instance associated with calling thread

getRandomFactory() - Static method in class org.nd4j.linalg.factory.Nd4j

This method returns RandomFactory instance

getRandomGenerator() - Method in class org.nd4j.linalg.api.rng.DefaultRandom

getRange(int, int) - Method in interface org.nd4j.linalg.dataset.api.DataSet

getRange(int, int) - Method in class org.nd4j.linalg.dataset.DataSet

getReal() - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

getReal(int) - Method in class org.nd4j.linalg.api.complex.BaseComplexNDArray

getReal(int) - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray

Get the real component at the specified index

getReal() - Method in interface org.nd4j.linalg.api.complex.IComplexNDArray

Gets the real portion of this complex ndarray

getRealArguments() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate

getRealArguments() - Method in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate

getReferences() - Method in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry

getReferences() - Method in class org.nd4j.linalg.api.instrumentation.LogEntry

getRequiredBatchMemorySize() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate

This method returns amount of memory required for batch creation for this specific Aggregate

getRequiredBatchMemorySize() - Method in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate

getReshapedWithShape(char, int, int, int) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreation