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I

i - Variable in class org.ansj.splitWord.impl.GetWordsImpl
 
i(int) - Method in class org.nd4j.graph.FlatProperties
 
I18N - Interface in org.deeplearning4j.ui.api
Interface to handle user interface internationalization.
I18NProvider - Class in org.deeplearning4j.ui.i18n
Returns the currently used I18N (Internationalization) class
I18NProvider() - Constructor for class org.deeplearning4j.ui.i18n.I18NProvider
 
I18NResource - Class in org.deeplearning4j.ui.i18n
 
I18NResource() - Constructor for class org.deeplearning4j.ui.i18n.I18NResource
 
I18NRoute - Class in org.deeplearning4j.ui.play.staticroutes
Route for global internationalization setting
I18NRoute() - Constructor for class org.deeplearning4j.ui.play.staticroutes.I18NRoute
 
i2d - Variable in class org.deeplearning4j.nn.layers.convolution.ConvolutionLayer
 
I_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.AttributeProto
 
I_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.AttributeProto
 
I_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AttrValue
 
I_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AttrValue.ListValue
 
ia - Variable in class org.deeplearning4j.nn.layers.recurrent.FwdPassReturn
 
IActivation - Interface in org.nd4j.linalg.activations
Interface for implementing custom activation functions
IActorCritic<NN extends IActorCritic> - Interface in org.deeplearning4j.rl4j.network.ac
 
IAggregableReduceOp<T,V> - Interface in org.datavec.api.transform.ops
Created by huitseeker on 4/28/17.
iamax(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
iamax(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Index of the max absolute value: argmax(abs(in))
iamax(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Index of the max absolute value: argmax(abs(in))
iamax(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Index of the max absolute value: argmax(abs(in))
iamax(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Index of the max absolute value: argmax(abs(in))
iamax(long, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
 
iamax(long, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
 
iamax(INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
finds the element of a vector that has the largest absolute value.
iamax(INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
Find the index of the element with maximum absolute value
iamax(long, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
 
iamax(long, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
 
iamax(INDArray) - Method in interface org.nd4j.linalg.api.blas.Level1
finds the element of a vector that has the largest absolute value.
iamax(long, INDArray, int) - Method in interface org.nd4j.linalg.api.blas.Level1
finds the element of a vector that has the largest absolute value.
iamax(long, DataBuffer, int, int) - Method in interface org.nd4j.linalg.api.blas.Level1
Index of largest absolute value
IAMax - Class in org.nd4j.linalg.api.ops.impl.indexaccum
Calculate the index of the max absolute value over a vector
IAMax(SameDiff, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.IAMax
 
IAMax() - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.IAMax
 
IAMax(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.IAMax
 
IAMax(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.IAMax
 
IAMax(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.IAMax
 
iamax(INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
 
iamax(INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
 
iamax(INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
Compute index of element with largest absolute value (index of absolute value maximum)
iamin(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
iamin(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Index of the min absolute value: argmin(abs(in))
iamin(SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Index of the min absolute value: argmin(abs(in))
iamin(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Index of the min absolute value: argmin(abs(in))
iamin(String, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Index of the min absolute value: argmin(abs(in))
iamin(INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
finds the element of a vector that has the minimum absolute value.
iamin(INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
Find the index of the element with maximum absolute value
iamin(INDArray) - Method in interface org.nd4j.linalg.api.blas.Level1
finds the element of a vector that has the minimum absolute value.
IAMin - Class in org.nd4j.linalg.api.ops.impl.indexaccum
Calculate the index of the max absolute value over a vector
IAMin(SameDiff, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.IAMin
 
IAMin() - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.IAMin
 
IAMin(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.IAMin
 
IAMin(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.IAMin
 
IAMin(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.IAMin
 
iArgs() - Method in class org.nd4j.linalg.api.ops.custom.ScatterUpdate
 
iArgs() - Method in interface org.nd4j.linalg.api.ops.CustomOp
 
iArgs() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
 
iArgs() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.If
 
iArgs() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.While
 
iArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1D
 
iArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D
 
iArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D
 
iArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2D
 
iArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2DTF
 
iArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2D
 
iArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.FullConv3D
 
iArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2D
 
iArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3D
 
iArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2D
 
iArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.config.GRUCellConfiguration
 
iArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMCellConfiguration
 
iArguments - Variable in class org.nd4j.linalg.api.ops.DynamicCustomOp
 
iAsByteBuffer() - Method in class org.nd4j.graph.FlatProperties
 
IAssociativeReducer - Interface in org.datavec.api.transform.reduce
A reducer aggregates or combines a set of examples into a single List
id - Variable in class org.ansj.domain.TermNatures
词的id
id - Variable in class org.datavec.api.transform.ui.DivObject
 
id - Variable in class org.deeplearning4j.optimize.listeners.SharedGradient
 
id - Variable in class org.deeplearning4j.ui.standalone.ComponentObject
 
id() - Method in class org.nd4j.graph.FlatConfiguration
 
id() - Method in class org.nd4j.graph.FlatGraph
 
id() - Method in class org.nd4j.graph.FlatNode
 
id() - Method in class org.nd4j.graph.FlatResult
 
id() - Method in class org.nd4j.graph.FlatTiming
 
id() - Method in class org.nd4j.graph.FlatVariable
 
id(IntPair) - Method in class org.nd4j.graph.FlatVariable
 
id() - Method in interface org.nd4j.linalg.dataset.api.DataSet
 
id() - Method in class org.nd4j.linalg.dataset.DataSet
 
id - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
 
id() - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleGraphState
 
id() - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArrayList
 
id() - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleVariable
 
id() - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatGraphState
 
id() - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArrayList
 
id() - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatVariable
 
id() - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfGraphState
 
id() - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArrayList
 
id() - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfVariable
 
id() - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleGraphState
 
id() - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArrayList
 
id() - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleVariable
 
id() - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatGraphState
 
id() - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArrayList
 
id() - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatVariable
 
id() - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfGraphState
 
id() - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArrayList
 
id() - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfVariable
 
ID_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef.Node
 
idamax(long, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
 
idamax(long, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
 
idamax(long, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
 
idamax(long, INDArray, int) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.CpuLevel1
 
idamax(long, DataBuffer, int, int) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.CpuLevel1
 
idamax(long, INDArray, int) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.SparseCpuLevel1
Find the index of the element with maximum absolute value
idamax(long, INDArray, int) - Method in class org.nd4j.linalg.jcublas.blas.JcublasLevel1
 
idamax(long, DataBuffer, int, int) - Method in class org.nd4j.linalg.jcublas.blas.JcublasLevel1
 
idamax(long, INDArray, int) - Method in class org.nd4j.linalg.jcublas.blas.JcusparseLevel1
 
idamin(long, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
 
idamin(long, INDArray, int) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.SparseCpuLevel1
Find the index of the element with minimum absolute value
idamin(long, INDArray, int) - Method in class org.nd4j.linalg.jcublas.blas.JcusparseLevel1
 
IDCardRecognition - Class in org.ansj.recognition.impl
基于规则的新词发现,身份证号码识别
IDCardRecognition() - Constructor for class org.ansj.recognition.impl.IDCardRecognition
 
idColumnName - Variable in class org.nd4j.jdbc.loader.impl.BaseLoader
 
identity(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
identity(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Elementwise identity operation: out = x
identity(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Elementwise identity operation: out = x
Identity - Class in org.nd4j.linalg.api.ops.impl.transforms
Identity function
Identity(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Identity
 
Identity() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Identity
 
Identity - Class in org.nd4j.linalg.indexing.functions
Created by agibsonccc on 10/8/14.
Identity() - Constructor for class org.nd4j.linalg.indexing.functions.Identity
 
identity(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
 
identity(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
Identity function
IdentityInitScheme - Class in org.nd4j.weightinit.impl
Initialize the weight to one.
IdentityInitScheme(char) - Constructor for class org.nd4j.weightinit.impl.IdentityInitScheme
 
identityToString(Object) - Static method in class org.nd4j.linalg.io.ObjectUtils
 
idf(String) - Method in class org.datavec.nlp.metadata.DefaultVocabCache
 
idf(String) - Method in interface org.datavec.nlp.metadata.VocabCache
Number of documents word has occurred in
idf(double, double) - Static method in class org.deeplearning4j.clustering.util.MathUtils
Inverse document frequency: the total docs divided by the number of times the word appeared in a document
idf(double, double) - Static method in class org.nd4j.linalg.util.MathUtils
Inverse document frequency: the total docs divided by the number of times the word appeared in a document
idler - Variable in class org.nd4j.parameterserver.distributed.transport.BaseTransport
 
IDQN<NN extends IDQN> - Interface in org.deeplearning4j.rl4j.network.dqn
 
idropOut(IDropout) - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace.Builder
 
idropOut(ParameterSpace<IDropout>) - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace.Builder
 
iDropOut(ParameterSpace<IDropout>) - Method in class org.deeplearning4j.arbiter.layers.DropoutLayerSpace.Builder
 
iDropOut(ParameterSpace<IDropout>) - Method in class org.deeplearning4j.arbiter.layers.LayerSpace.Builder
 
IDropout - Interface in org.deeplearning4j.nn.conf.dropout
IDropout instances operate on an activations array, modifying or dropping values at training time only.
iDropout - Variable in class org.deeplearning4j.nn.conf.layers.Layer.Builder
 
iDropout - Variable in class org.deeplearning4j.nn.conf.layers.Layer
 
idropOut - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
ids() - Method in class org.nd4j.parameterserver.status.play.BaseStatusStorage
The list of state ids for the given SubscriberState
ids() - Method in interface org.nd4j.parameterserver.status.play.StatusStorage
The list of state ids for the given SubscriberState
idxCounter - Variable in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.BinaryReader
 
IEarlyStoppingTrainer<T extends Model> - Interface in org.deeplearning4j.earlystopping.trainer
Interface for early stopping trainers
IEvaluateAggregateFunction<T extends IEvaluation> - Class in org.deeplearning4j.spark.impl.multilayer.evaluation
A simple function to merge IEvaluation instances
IEvaluateAggregateFunction() - Constructor for class org.deeplearning4j.spark.impl.multilayer.evaluation.IEvaluateAggregateFunction
 
IEvaluateFlatMapFunction<T extends IEvaluation> - Class in org.deeplearning4j.spark.impl.multilayer.evaluation
Function to evaluate data (using an IEvaluation instance), in a distributed manner Flat map function used to batch examples for computational efficiency + reduce number of IEvaluation objects returned for network efficiency.
IEvaluateFlatMapFunction(boolean, Broadcast<String>, Broadcast<INDArray>, int, int, T...) - Constructor for class org.deeplearning4j.spark.impl.multilayer.evaluation.IEvaluateFlatMapFunction
 
IEvaluateMDSFlatMapFunction<T extends IEvaluation> - Class in org.deeplearning4j.spark.impl.graph.evaluation
Function to evaluate data (using one or more IEvaluation instances), in a distributed manner Flat map function used to batch examples for computational efficiency + reduce number of IEvaluation objects returned for network efficiency.
IEvaluateMDSFlatMapFunction(Broadcast<String>, Broadcast<INDArray>, int, int, T...) - Constructor for class org.deeplearning4j.spark.impl.graph.evaluation.IEvaluateMDSFlatMapFunction
 
IEvaluateMDSPathsFlatMapFunction - Class in org.deeplearning4j.spark.impl.graph.evaluation
Function to evaluate data (using one or more IEvaluation instances), in a distributed manner Flat map function used to batch examples for computational efficiency + reduce number of IEvaluation objects returned for network efficiency.
IEvaluateMDSPathsFlatMapFunction(Broadcast<String>, Broadcast<INDArray>, int, int, DataSetLoader, MultiDataSetLoader, IEvaluation...) - Constructor for class org.deeplearning4j.spark.impl.graph.evaluation.IEvaluateMDSPathsFlatMapFunction
 
IEvaluation<T extends IEvaluation> - Interface in org.deeplearning4j.eval
A general purpose interface for evaluating neural networks - methods are shared by implemetations such as Evaluation, RegressionEvaluation, ROC, ROCMultiClass
IEvaluationReduceFunction<T extends IEvaluation> - Class in org.deeplearning4j.spark.impl.multilayer.evaluation
Reduction function for use with IEvaluateFlatMapFunction for distributed evaluation
IEvaluationReduceFunction() - Constructor for class org.deeplearning4j.spark.impl.multilayer.evaluation.IEvaluationReduceFunction
 
IExpReplay<A> - Interface in org.deeplearning4j.rl4j.learning.sync
 
If - Class in org.nd4j.linalg.api.ops.impl.controlflow
Equivalent to tensorflow's conditional op.
If(If) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.If
 
If(String, SameDiff, SDVariable[], SameDiffFunctionDefinition, SameDiffConditional, SameDiffFunctionDefinition, SameDiffFunctionDefinition) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.If
 
IfDerivative - Class in org.nd4j.linalg.api.ops.impl.controlflow
 
IfDerivative(If) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.IfDerivative
 
IfImportState - Class in org.nd4j.linalg.api.ops.impl.controlflow
 
IfImportState() - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.IfImportState
 
ifStatement(SameDiffConditional, SameDiffFunctionDefinition, SameDiffFunctionDefinition, SameDiffFunctionDefinition, SDVariable[]) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
IGenerator(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.IGenerator
Pointer cast constructor.
IGenerator(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCuda.IGenerator
Pointer cast constructor.
ignoreUnknown - Variable in class org.datavec.api.transform.transform.string.StringListToCountsNDArrayTransform
 
IGraph<V,E> - Interface in org.deeplearning4j.graph.api
Interface for a IGraph, with objects for each vertex and edge.
IGraph<V extends SequenceElement,E extends java.lang.Number> - Interface in org.deeplearning4j.models.sequencevectors.graph.primitives
Interface for a IGraph, with objects for each vertex and edge.
ihamax(long, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
 
ihamax(long, INDArray, int) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.SparseCpuLevel1
 
ihamax(long, INDArray, int) - Method in class org.nd4j.linalg.jcublas.blas.JcusparseLevel1
 
ihamin(long, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
 
ihamin(long, INDArray, int) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.SparseCpuLevel1
 
ihamin(long, INDArray, int) - Method in class org.nd4j.linalg.jcublas.blas.JcusparseLevel1
 
IHistoryProcessor - Interface in org.deeplearning4j.rl4j.learning
 
IHistoryProcessor.Configuration - Class in org.deeplearning4j.rl4j.learning
 
ILearning<O extends Encodable,A,AS extends ActionSpace<A>> - Interface in org.deeplearning4j.rl4j.learning
 
ILearning.LConfiguration - Interface in org.deeplearning4j.rl4j.learning
 
iLength() - Method in class org.nd4j.graph.FlatProperties
 
IllegalOpException - Exception in org.nd4j.linalg.api.ops.exception
Thrown with illegal operations
IllegalOpException() - Constructor for exception org.nd4j.linalg.api.ops.exception.IllegalOpException
 
IllegalOpException(String) - Constructor for exception org.nd4j.linalg.api.ops.exception.IllegalOpException
 
IllegalOpException(String, Throwable) - Constructor for exception org.nd4j.linalg.api.ops.exception.IllegalOpException
 
IllegalOpException(Throwable) - Constructor for exception org.nd4j.linalg.api.ops.exception.IllegalOpException
 
IllegalOpException(String, Throwable, boolean, boolean) - Constructor for exception org.nd4j.linalg.api.ops.exception.IllegalOpException
 
iLossFunction(ILossFunction) - Method in class org.deeplearning4j.arbiter.layers.BaseOutputLayerSpace.Builder
 
iLossFunction(ParameterSpace<ILossFunction>) - Method in class org.deeplearning4j.arbiter.layers.BaseOutputLayerSpace.Builder
 
iLossFunction(ILossFunction) - Method in class org.deeplearning4j.arbiter.layers.LossLayerSpace.Builder
 
iLossFunction(ParameterSpace<ILossFunction>) - Method in class org.deeplearning4j.arbiter.layers.LossLayerSpace.Builder
 
ILossFunction - Interface in org.nd4j.linalg.lossfunctions
Interface for loss functions
im2Col(SDVariable, Conv2DConfig) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
im2Col(SDVariable, Conv2DConfig) - Method in class org.nd4j.autodiff.samediff.SameDiff
im2col operation for use in 2D convolution operations.
im2Col(String, SDVariable, Conv2DConfig) - Method in class org.nd4j.autodiff.samediff.SameDiff
im2col operation for use in 2D convolution operations.
Im2col - Class in org.nd4j.linalg.api.ops.impl.layers.convolution
Im2col operation
Im2col(SameDiff, SDVariable[], INDArray[], INDArray[], Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Im2col
 
Im2col(SameDiff, SDVariable, Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Im2col
 
Im2col() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Im2col
 
im2col(INDArray, int[], int[], int[]) - Static method in class org.nd4j.linalg.convolution.Convolution
 
im2col(INDArray, int, int, int, int, int, int, boolean) - Static method in class org.nd4j.linalg.convolution.Convolution
Implement column formatted images
im2col(INDArray, int, int, int, int, int, int, int, int, boolean) - Static method in class org.nd4j.linalg.convolution.Convolution
 
im2col(INDArray, int, int, int, int, int, int, boolean, INDArray) - Static method in class org.nd4j.linalg.convolution.Convolution
 
im2col(INDArray, int, int, int, int, int, int, int, int, boolean, INDArray) - Static method in class org.nd4j.linalg.convolution.Convolution
 
im2col(INDArray, int, int, int, int, int, int, int, boolean) - Static method in class org.nd4j.linalg.convolution.Convolution
Implement column formatted images
im2col(INDArray, int[], int[], int[]) - Static method in class org.nd4j.linalg.convolution.OldConvolution
 
im2col(INDArray, int, int, int, int, int, int, int, boolean) - Static method in class org.nd4j.linalg.convolution.OldConvolution
Implement column formatted images
im2ColBp(SDVariable, SDVariable, Conv2DConfig) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
Im2colBp - Class in org.nd4j.linalg.api.ops.impl.layers.convolution
Im2col operation
Im2colBp(SameDiff, SDVariable, SDVariable, Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Im2colBp
 
Im2colBp(SameDiff, SDVariable, Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Im2colBp
 
Im2colBp() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Im2colBp
 
im2colShape - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.LegacyPooling2D
Deprecated.
 
Image - Class in org.datavec.image.data
 
Image() - Constructor for class org.datavec.image.data.Image
 
IMAGE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.Summary.Value
 
IMAGE_LOADER - Static variable in class org.datavec.image.recordreader.BaseImageRecordReader
 
IMAGE_LOADER - Static variable in class org.datavec.image.recordreader.VideoRecordReader
 
imageFilesExist() - Method in class org.datavec.image.loader.LFWLoader
 
ImageFlatteningDataSetPreProcessor - Class in org.nd4j.linalg.dataset.api.preprocessor
A DataSetPreProcessor used to flatten a 4d CNN features array to a flattened 2d format (for use in networks such as a DenseLayer/multi-layer perceptron)
ImageFlatteningDataSetPreProcessor() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.ImageFlatteningDataSetPreProcessor
 
ImageInputFormat - Class in org.datavec.image.format
 
ImageInputFormat() - Constructor for class org.datavec.image.format.ImageInputFormat
 
ImageLoader - Class in org.datavec.image.loader
Image loader for taking images and converting them to matrices
ImageLoader() - Constructor for class org.datavec.image.loader.ImageLoader
 
ImageLoader(long, long) - Constructor for class org.datavec.image.loader.ImageLoader
Instantiate an image with the given height and width
ImageLoader(long, long, long) - Constructor for class org.datavec.image.loader.ImageLoader
Instantiate an image with the given height and width
ImageLoader(long, long, long, boolean) - Constructor for class org.datavec.image.loader.ImageLoader
Instantiate an image with the given height and width
imageLoader - Variable in class org.datavec.image.recordreader.BaseImageRecordReader
 
ImageMultiPreProcessingScaler - Class in org.nd4j.linalg.dataset.api.preprocessor
A preprocessor specifically for images that applies min max scaling to one or more of the feature arrays in a MultiDataSet.
Can take a range, so pixel values can be scaled from 0->255 to minRange->maxRange default minRange = 0 and maxRange = 1; If pixel values are not 8 bits, you can specify the number of bits as the third argument in the constructor For values that are already floating point, specify the number of bits as 1
ImageMultiPreProcessingScaler(int...) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.ImageMultiPreProcessingScaler
 
ImageMultiPreProcessingScaler(double, double, int[]) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.ImageMultiPreProcessingScaler
 
ImageMultiPreProcessingScaler(double, double, int, int[]) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.ImageMultiPreProcessingScaler
Preprocessor can take a range as minRange and maxRange
ImageNetLabels - Class in org.deeplearning4j.zoo.util.imagenet
Helper class with a static method that returns the label description.
ImageNetLabels() - Constructor for class org.deeplearning4j.zoo.util.imagenet.ImageNetLabels
 
ImageObject - Class in org.datavec.image.recordreader.objdetect
 
ImageObject(int, int, int, int, String) - Constructor for class org.datavec.image.recordreader.objdetect.ImageObject
 
ImageObjectLabelProvider - Interface in org.datavec.image.recordreader.objdetect
 
ImagePreProcessingScaler - Class in org.nd4j.linalg.dataset.api.preprocessor
Created by susaneraly on 6/23/16.
ImagePreProcessingScaler() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler
 
ImagePreProcessingScaler(double, double) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler
 
ImagePreProcessingScaler(double, double, int) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler
Preprocessor can take a range as minRange and maxRange
ImagePreProcessingSerializerStrategy - Class in org.nd4j.linalg.dataset.api.preprocessor.serializer
NormalizerSerializerStrategy for ImagePreProcessingScaler Saves the min range, max range, and max pixel value as doubles
ImagePreProcessingSerializerStrategy() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.serializer.ImagePreProcessingSerializerStrategy
 
ImageRecordReader - Class in org.datavec.image.recordreader
Image record reader.
ImageRecordReader() - Constructor for class org.datavec.image.recordreader.ImageRecordReader
Loads images with height = 28, width = 28, and channels = 1, appending no labels.
ImageRecordReader(long, long, long, PathLabelGenerator) - Constructor for class org.datavec.image.recordreader.ImageRecordReader
Loads images with given height, width, and channels, appending labels returned by the generator.
ImageRecordReader(long, long, long, PathMultiLabelGenerator) - Constructor for class org.datavec.image.recordreader.ImageRecordReader
Loads images with given height, width, and channels, appending labels returned by the generator.
ImageRecordReader(long, long, long) - Constructor for class org.datavec.image.recordreader.ImageRecordReader
Loads images with given height, width, and channels, appending no labels.
ImageRecordReader(long, long, long, PathLabelGenerator, ImageTransform) - Constructor for class org.datavec.image.recordreader.ImageRecordReader
Loads images with given height, width, and channels, appending labels returned by the generator.
ImageRecordReader(long, long, long, ImageTransform) - Constructor for class org.datavec.image.recordreader.ImageRecordReader
Loads images with given height, width, and channels, appending no labels.
ImageRecordReader(long, long, PathLabelGenerator) - Constructor for class org.datavec.image.recordreader.ImageRecordReader
Loads images with given height, width, and channels, appending labels returned by the generator.
ImageRecordReader(long, long) - Constructor for class org.datavec.image.recordreader.ImageRecordReader
Loads images with given height, width, and channels = 1, appending no labels.
ImageSparkTransform - Class in org.datavec.spark.transform
Created by kepricon on 17.
ImageSparkTransform() - Constructor for class org.datavec.spark.transform.ImageSparkTransform
 
ImageSparkTransformServer - Class in org.datavec.spark.transform
Created by kepricon on 17.
ImageSparkTransformServer() - Constructor for class org.datavec.spark.transform.ImageSparkTransformServer
 
imageTransform - Variable in class org.datavec.image.loader.BaseImageLoader
 
imageTransform - Variable in class org.datavec.image.recordreader.BaseImageRecordReader
 
ImageTransform - Interface in org.datavec.image.transform
Transforms an image in some way, either deterministically or randomly.
imageTransform - Variable in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
 
ImageTransformHelper() - Constructor for class org.datavec.image.serde.LegacyImageMappingHelper.ImageTransformHelper
 
ImageTransformProcess - Class in org.datavec.image.transform
Created by kepricon on 17.
ImageTransformProcess(int, ImageTransform...) - Constructor for class org.datavec.image.transform.ImageTransformProcess
 
ImageTransformProcess(int, List<ImageTransform>) - Constructor for class org.datavec.image.transform.ImageTransformProcess
 
ImageTransformProcess(ImageTransformProcess.Builder) - Constructor for class org.datavec.image.transform.ImageTransformProcess
 
ImageTransformProcess.Builder - Class in org.datavec.image.transform
Builder class for constructing a ImageTransformProcess
imageTransforms - Variable in class org.datavec.image.transform.PipelineImageTransform.Builder
 
imageTransforms - Variable in class org.datavec.image.transform.PipelineImageTransform
 
ImageUtils - Class in org.datavec.image.util
 
ImageUtils() - Constructor for class org.datavec.image.util.ImageUtils
 
ImageWritable - Class in org.datavec.image.data
Wraps a Frame to allow serialization within this framework.
ImageWritable() - Constructor for class org.datavec.image.data.ImageWritable
 
ImageWritable(Frame) - Constructor for class org.datavec.image.data.ImageWritable
 
IMax - Class in org.nd4j.linalg.api.ops.impl.indexaccum
Calculate the index of max value over a vector
IMax(SameDiff, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.IMax
 
IMax() - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.IMax
 
IMax(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.IMax
 
IMax(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.IMax
 
IMin - Class in org.nd4j.linalg.api.ops.impl.indexaccum
Calculate the index of min value over a vector
IMin(SameDiff, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.IMin
 
IMin() - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.IMin
 
IMin(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.IMin
 
IMin(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.IMin
 
IMin(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.IMin
 
ImmortalFloatPointer - Class in org.nd4j.linalg.api.memory.pointers
 
ImmortalFloatPointer(PagedPointer) - Constructor for class org.nd4j.linalg.api.memory.pointers.ImmortalFloatPointer
 
ImmutablePair<K,V> - Class in org.nd4j.linalg.primitives
Simple pair implementation
ImmutablePair() - Constructor for class org.nd4j.linalg.primitives.ImmutablePair
 
ImmutableQuad<F,S,T,O> - Class in org.nd4j.linalg.primitives
Simple quad elements holder implementation
ImmutableQuad() - Constructor for class org.nd4j.linalg.primitives.ImmutableQuad
 
ImmutableTriple<F,S,T> - Class in org.nd4j.linalg.primitives
Simple triple elements holder implementation
ImmutableTriple() - Constructor for class org.nd4j.linalg.primitives.ImmutableTriple
 
IMPLICIT - Static variable in class org.nd4j.graph.OutputMode
 
importCondition(String, NodeDef, ImportState<GraphDef, NodeDef>) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
 
importGraph(InputStream) - Method in class org.nd4j.imports.graphmapper.BaseGraphMapper
 
importGraph(String) - Method in class org.nd4j.imports.graphmapper.BaseGraphMapper
 
importGraph(File) - Method in class org.nd4j.imports.graphmapper.BaseGraphMapper
 
importGraph(GRAPH_TYPE) - Method in class org.nd4j.imports.graphmapper.BaseGraphMapper
This method converts given TF
importGraph(InputStream) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
Import a graph as same diff from the given file
importGraph(File) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
Import a graph as same diff from the given file
importGraph(GRAPH_TYPE) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
This method converts given TF
importGraph(String) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
This method converts given TF graph file
importKerasModelAndWeights(InputStream, boolean) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
Load Keras (Functional API) Model saved using model.save_model(...).
importKerasModelAndWeights(InputStream) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
Load Keras (Functional API) Model saved using model.save_model(...).
importKerasModelAndWeights(String, int[], boolean) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
Load Keras (Functional API) Model saved using model.save_model(...).
importKerasModelAndWeights(String, boolean) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
Load Keras (Functional API) Model saved using model.save_model(...).
importKerasModelAndWeights(String) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
Load Keras (Functional API) Model saved using model.save_model(...).
importKerasModelAndWeights(String, String, boolean) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
Load Keras (Functional API) Model for which the configuration and weights were saved separately using calls to model.to_json() and model.save_weights(...).
importKerasModelAndWeights(String, String) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
Load Keras (Functional API) Model for which the configuration and weights were saved separately using calls to model.to_json() and model.save_weights(...).
importKerasModelConfiguration(String, boolean) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
Load Keras (Functional API) Model for which the configuration was saved separately using calls to model.to_json() and model.save_weights(...).
importKerasModelConfiguration(String) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
Load Keras (Functional API) Model for which the configuration was saved separately using calls to model.to_json() and model.save_weights(...).
importKerasSequentialConfiguration(String, boolean) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
Load Keras Sequential model for which the configuration was saved separately using calls to model.to_json() and model.save_weights(...).
importKerasSequentialConfiguration(String) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
Load Keras Sequential model for which the configuration was saved separately using calls to model.to_json() and model.save_weights(...).
importKerasSequentialModelAndWeights(InputStream, boolean) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
Load Keras Sequential model saved using model.save_model(...).
importKerasSequentialModelAndWeights(InputStream) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
Load Keras Sequential model saved using model.save_model(...).
importKerasSequentialModelAndWeights(String, int[], boolean) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
Load Keras Sequential model saved using model.save_model(...).
importKerasSequentialModelAndWeights(String, boolean) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
Load Keras Sequential model saved using model.save_model(...).
importKerasSequentialModelAndWeights(String) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
Load Keras Sequential model saved using model.save_model(...).
importKerasSequentialModelAndWeights(String, String, boolean) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
Load Keras Sequential model for which the configuration and weights were saved separately using calls to model.to_json() and model.save_weights(...).
importKerasSequentialModelAndWeights(String, String) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
Load Keras Sequential model for which the configuration and weights were saved separately using calls to model.to_json() and model.save_weights(...).
importProto(File) - Method in class org.nd4j.autodiff.execution.BasicGraphExecutioner
 
importProto(File) - Method in interface org.nd4j.autodiff.execution.GraphExecutioner
This method executes TF graph PLEASE NOTE: This feature is under development yet
importProto(File) - Method in class org.nd4j.autodiff.execution.NativeGraphExecutioner
 
ImportState<GRAPH_TYPE,TENSOR_TYPE> - Class in org.nd4j.imports.graphmapper
 
ImportState() - Constructor for class org.nd4j.imports.graphmapper.ImportState
 
importVocabulary(VocabCache<T>) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
This method imports all elements from VocabCache passed as argument If element already exists,
importVocabulary(VocabCache<VocabWord>) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
importVocabulary(VocabCache<T>) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
imports vocabulary
importWeights(Hdf5Archive, String, Map<String, KerasLayer>, int, String) - Static method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelUtils
Store weights to import with each associated Keras layer.
IN_ARG_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ApiDef
 
inboundLayerNames - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
 
INCARNATION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.DeviceAttributes
 
InceptionResNetHelper - Class in org.deeplearning4j.zoo.model.helper
Inception is based on GoogleLeNet configuration of convolutional layers for optimization of resources and learning.
InceptionResNetHelper() - Constructor for class org.deeplearning4j.zoo.model.helper.InceptionResNetHelper
 
InceptionResNetV1 - Class in org.deeplearning4j.zoo.model
A variant of the original FaceNet model that relies on embeddings and triplet loss.
inceptionV1ResA(ComputationGraphConfiguration.GraphBuilder, String, int, double, String) - Static method in class org.deeplearning4j.zoo.model.helper.InceptionResNetHelper
Append Inception-ResNet A to a computation graph.
inceptionV1ResB(ComputationGraphConfiguration.GraphBuilder, String, int, double, String) - Static method in class org.deeplearning4j.zoo.model.helper.InceptionResNetHelper
Append Inception-ResNet B to a computation graph.
inceptionV1ResC(ComputationGraphConfiguration.GraphBuilder, String, int, double, String) - Static method in class org.deeplearning4j.zoo.model.helper.InceptionResNetHelper
Append Inception-ResNet C to a computation graph.
inclusive - Variable in class org.nd4j.linalg.indexing.IntervalIndex
 
incr() - Method in interface org.datavec.api.records.Index
 
increaseElementFrequency(int) - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
Increases element frequency counter by argument
increment() - Method in class org.deeplearning4j.models.word2vec.VocabWork
 
increment() - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArrayVector.Iterator
 
increment() - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArrayVector.Iterator
 
increment() - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArrayVector.Iterator
 
increment() - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArrayVector.Iterator
 
increment() - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArrayVector.Iterator
 
increment() - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArrayVector.Iterator
 
incrementAll(Counter<T>) - Method in class org.deeplearning4j.spark.models.sequencevectors.primitives.ExtraCounter
 
incrementAll(Collection<T>, double) - Method in class org.nd4j.linalg.primitives.Counter
This method will increment all elements in collection
incrementAll(Counter<T2>) - Method in class org.nd4j.linalg.primitives.Counter
This method will increment counts of this counter by counts from other counter
incrementAll(CounterMap<F, S>) - Method in class org.nd4j.linalg.primitives.CounterMap
This method will increment values of this counter, by counts of other counter
incrementCount(String) - Method in class org.datavec.nlp.metadata.DefaultVocabCache
 
incrementCount(String, double) - Method in class org.datavec.nlp.metadata.DefaultVocabCache
 
incrementCount(String) - Method in interface org.datavec.nlp.metadata.VocabCache
Increment a word count by 1
incrementCount(String, double) - Method in interface org.datavec.nlp.metadata.VocabCache
Increment count for a word
incrementCount(T, T, double) - Method in class org.deeplearning4j.models.glove.count.CountMap
 
incrementCount() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyWord
 
incrementCount(T, double) - Method in class org.nd4j.linalg.primitives.Counter
 
incrementCount(F, S, double) - Method in class org.nd4j.linalg.primitives.CounterMap
This method will increment counts for a given first/second pair
incrementCount() - Method in class org.nd4j.linalg.profiler.data.StackAggregator
 
incrementCount(long) - Method in class org.nd4j.linalg.profiler.data.StackAggregator
 
incrementCount(String) - Method in class org.nd4j.linalg.profiler.data.StringCounter
 
incrementDocCount(String) - Method in class org.datavec.nlp.metadata.DefaultVocabCache
 
incrementDocCount(String, double) - Method in class org.datavec.nlp.metadata.DefaultVocabCache
 
incrementDocCount(String) - Method in interface org.datavec.nlp.metadata.VocabCache
Increment the doc count for a word by 1
incrementDocCount(String, double) - Method in interface org.datavec.nlp.metadata.VocabCache
Increment the document count for a particular word
incrementDocCount(String, long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Increment number of documents the label was observed in Please note: this method is NOT thread-safe
incrementDocCount(String, long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
incrementDocCount(String, long) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Increment the document count
incrementElementFrequency() - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
Increases element frequency counter by 1
incrementEpoch() - Method in class org.deeplearning4j.rl4j.learning.Learning
 
incrementEpochCount() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Increment the epoch count (in the underlying ComputationGraphConfiguration by 1).
incrementEpochCount() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Increment the epoch count (in the underlying MultiLayerConfiguration by 1).
incrementFalseNegatives(Integer) - Method in class org.deeplearning4j.eval.Evaluation
 
incrementFalsePositive(long) - Method in class org.deeplearning4j.eval.ROC.CountsForThreshold
 
incrementFalsePositives(Integer) - Method in class org.deeplearning4j.eval.Evaluation
 
incrementGeneration() - Method in class org.nd4j.nativeblas.Nd4jCpu.RandomBuffer
 
incrementGeneration() - Method in class org.nd4j.nativeblas.Nd4jCuda.RandomBuffer
 
incrementIteration() - Method in class org.deeplearning4j.parallelism.EarlyStoppingParallelTrainer
 
incrementIterationCount(Model, int) - Static method in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
incrementLoopCounter() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.While
Increments the loop counter.
incrementNumberOfCycles(String) - Method in class org.nd4j.autodiff.samediff.flow.FlowPath
This node increments number of iterations by 1.
incrementNumberOfCycles() - Method in class org.nd4j.autodiff.samediff.flow.FrameState
This method increments number of cycles by 1
incrementNumberOfCycles() - Method in class org.nd4j.autodiff.samediff.flow.NodeState
 
incrementNumberOfCycles(long) - Method in class org.nd4j.nativeblas.Nd4jCpu.FlowPath
 
incrementNumberOfCycles(long) - Method in class org.nd4j.nativeblas.Nd4jCuda.FlowPath
 
incrementNumDocs(double) - Method in class org.datavec.nlp.metadata.DefaultVocabCache
 
incrementNumDocs(double) - Method in interface org.datavec.nlp.metadata.VocabCache
Increment the number of documents
incrementRetentionStep() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyWord
 
incrementRetransmitCount() - Method in class org.nd4j.parameterserver.distributed.messages.BaseVoidMessage
 
incrementRetransmitCount() - Method in class org.nd4j.parameterserver.distributed.messages.Frame
 
incrementRetransmitCount() - Method in interface org.nd4j.parameterserver.distributed.messages.VoidMessage
 
incrementSequencesCount() - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
Increments document count by one
incrementSequencesCount(long) - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
Increments document count by specified value
incrementStep() - Method in class org.deeplearning4j.rl4j.learning.Learning
 
incrementTotalDocCount() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Increment total number of documents observed by 1
incrementTotalDocCount(long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Increment total number of documents observed by specified value
incrementTotalDocCount() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
incrementTotalDocCount(long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
incrementTotalDocCount() - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Increment the doc count
incrementTotalDocCount(long) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Increment the doc count
incrementTrueNegatives(Integer) - Method in class org.deeplearning4j.eval.Evaluation
 
incrementTruePositive(long) - Method in class org.deeplearning4j.eval.ROC.CountsForThreshold
 
incrementTruePositives(Integer) - Method in class org.deeplearning4j.eval.Evaluation
 
incrementWordCount(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Increment frequency for specified label by 1
incrementWordCount(String, int) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Increment frequency for specified label by specified value
incrementWordCount(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
Increment the count for the given word
incrementWordCount(String, int) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
Increment the count for the given word by the amount increment
incrementWordCount(String) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Increment the count for the given word
incrementWordCount(String, int) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Increment the count for the given word by the amount increment
incrementWordCounter(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
Increments by one number of occurrences of the word in corpus
ind2sub(int[], long, long) - Static method in class org.nd4j.linalg.api.shape.Shape
Convert a linear index to the equivalent nd index
ind2sub(long[], long, long) - Static method in class org.nd4j.linalg.api.shape.Shape
 
ind2sub(int[], long) - Static method in class org.nd4j.linalg.api.shape.Shape
Convert a linear index to the equivalent nd index.
ind2sub(long[], long) - Static method in class org.nd4j.linalg.api.shape.Shape
 
ind2sub(INDArray, long) - Static method in class org.nd4j.linalg.api.shape.Shape
Convert a linear index to the equivalent nd index based on the shape of the specified ndarray.
ind2sub(int, LongPointer, long, long) - Static method in class org.nd4j.nativeblas.Nd4jCpu
Convert a linear index to the equivalent nd index
ind2sub(int, LongBuffer, long, long) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
ind2sub(int, long[], long, long) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
ind2sub(int, LongPointer, long) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
ind2sub(int, LongBuffer, long) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
ind2sub(int, long[], long) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
ind2sub(int, LongPointer, long, long, LongPointer) - Static method in class org.nd4j.nativeblas.Nd4jCpu
Convert a linear index to the equivalent nd index
ind2sub(int, LongBuffer, long, long, LongBuffer) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
ind2sub(int, long[], long, long, long[]) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
ind2sub(int, LongPointer, long, LongPointer) - Static method in class org.nd4j.nativeblas.Nd4jCpu
Convert a linear index to the equivalent nd index.
ind2sub(int, LongBuffer, long, LongBuffer) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
ind2sub(int, long[], long, long[]) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
ind2sub(int, LongPointer, long, long) - Static method in class org.nd4j.nativeblas.Nd4jCuda
Convert a linear index to the equivalent nd index
ind2sub(int, LongBuffer, long, long) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
ind2sub(int, long[], long, long) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
ind2sub(int, LongPointer, long) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
ind2sub(int, LongBuffer, long) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
ind2sub(int, long[], long) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
ind2sub(int, LongPointer, long, long, LongPointer) - Static method in class org.nd4j.nativeblas.Nd4jCuda
Convert a linear index to the equivalent nd index
ind2sub(int, LongBuffer, long, long, LongBuffer) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
ind2sub(int, long[], long, long, long[]) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
ind2sub(int, LongPointer, long, LongPointer) - Static method in class org.nd4j.nativeblas.Nd4jCuda
Convert a linear index to the equivalent nd index.
ind2sub(int, LongBuffer, long, LongBuffer) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
ind2sub(int, long[], long, long[]) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
ind2subC(int[], long, long) - Static method in class org.nd4j.linalg.api.shape.Shape
Convert a linear index to the equivalent nd index
ind2subC(long[], long, long) - Static method in class org.nd4j.linalg.api.shape.Shape
 
ind2subC(int[], long) - Static method in class org.nd4j.linalg.api.shape.Shape
Convert a linear index to the equivalent nd index.
ind2subC(long[], long) - Static method in class org.nd4j.linalg.api.shape.Shape
 
ind2subC(INDArray, long) - Static method in class org.nd4j.linalg.api.shape.Shape
Convert a linear index to the equivalent nd index based on the shape of the specified ndarray.
ind2subC(int, LongPointer, long) - Static method in class org.nd4j.nativeblas.Nd4jCpu
Convert a linear index to the equivalent nd index
ind2subC(int, LongBuffer, long) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
ind2subC(int, long[], long) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
ind2subC(int, LongPointer, long, long) - Static method in class org.nd4j.nativeblas.Nd4jCpu
Convert a linear index to the equivalent nd index
ind2subC(int, LongBuffer, long, long) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
ind2subC(int, long[], long, long) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
ind2subC(int, LongPointer, long, long, LongPointer) - Static method in class org.nd4j.nativeblas.Nd4jCpu
Convert a linear index to the equivalent nd index
ind2subC(int, LongBuffer, long, long, LongBuffer) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
ind2subC(int, long[], long, long, long[]) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
ind2subC(int, LongPointer, long, LongPointer) - Static method in class org.nd4j.nativeblas.Nd4jCpu
Convert a linear index to the equivalent nd index.
ind2subC(int, LongBuffer, long, LongBuffer) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
ind2subC(int, long[], long, long[]) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
ind2subC(int, LongPointer, long) - Static method in class org.nd4j.nativeblas.Nd4jCuda
Convert a linear index to the equivalent nd index
ind2subC(int, LongBuffer, long) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
ind2subC(int, long[], long) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
ind2subC(int, LongPointer, long, long) - Static method in class org.nd4j.nativeblas.Nd4jCuda
Convert a linear index to the equivalent nd index
ind2subC(int, LongBuffer, long, long) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
ind2subC(int, long[], long, long) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
ind2subC(int, LongPointer, long, long, LongPointer) - Static method in class org.nd4j.nativeblas.Nd4jCuda
Convert a linear index to the equivalent nd index
ind2subC(int, LongBuffer, long, long, LongBuffer) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
ind2subC(int, long[], long, long, long[]) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
ind2subC(int, LongPointer, long, LongPointer) - Static method in class org.nd4j.nativeblas.Nd4jCuda
Convert a linear index to the equivalent nd index.
ind2subC(int, LongBuffer, long, LongBuffer) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
ind2subC(int, long[], long, long[]) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
ind2subOrder(LongPointer, long, long, LongPointer) - Static method in class org.nd4j.nativeblas.Nd4jCpu
Convert a linear index to the equivalent nd index
ind2subOrder(LongBuffer, long, long, LongBuffer) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
ind2subOrder(long[], long, long, long[]) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
ind2subOrder(LongPointer, long, LongPointer) - Static method in class org.nd4j.nativeblas.Nd4jCpu
Convert a linear index to the equivalent nd index
ind2subOrder(LongBuffer, long, LongBuffer) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
ind2subOrder(long[], long, long[]) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
ind2subOrder(LongPointer, long, long, LongPointer) - Static method in class org.nd4j.nativeblas.Nd4jCuda
Convert a linear index to the equivalent nd index
ind2subOrder(LongBuffer, long, long, LongBuffer) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
ind2subOrder(long[], long, long, long[]) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
ind2subOrder(LongPointer, long, LongPointer) - Static method in class org.nd4j.nativeblas.Nd4jCuda
Convert a linear index to the equivalent nd index
ind2subOrder(LongBuffer, long, LongBuffer) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
ind2subOrder(long[], long, long[]) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
INDArray - Interface in org.nd4j.linalg.api.ndarray
Interface for an ndarray
INDArrayDataSetIterator - Class in org.deeplearning4j.datasets.iterator
 
INDArrayDataSetIterator(Iterable<Pair<INDArray, INDArray>>, int) - Constructor for class org.deeplearning4j.datasets.iterator.INDArrayDataSetIterator
 
INDArrayFastCloner - Class in org.nd4j.autodiff.util.cloner
 
INDArrayFastCloner() - Constructor for class org.nd4j.autodiff.util.cloner.INDArrayFastCloner
 
INDArrayIndex - Interface in org.nd4j.linalg.indexing
An index in to a particular dimension.
INDArrayIterator - Class in org.nd4j.linalg.api.iter
 
INDArrayIterator(INDArray) - Constructor for class org.nd4j.linalg.api.iter.INDArrayIterator
 
index - Variable in class org.ansj.domain.Nature
 
Index - Interface in org.datavec.api.records
Interface that acts as an iterator for deserializing maps.
index - Variable in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
 
index - Variable in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
 
index - Variable in class org.deeplearning4j.nn.layers.AbstractLayer
 
index - Variable in class org.deeplearning4j.nn.layers.normalization.BatchNormalization
 
index - Variable in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
index - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
index(long, long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Deprecated.
index(long, long) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
index(long, long) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Return the linear index of the specified row and column
index - Variable in class org.nd4j.linalg.indexing.IntervalIndex
 
index() - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleVariable
 
index() - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatVariable
 
index() - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfVariable
 
index() - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleVariable
 
index() - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatVariable
 
index() - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfVariable
 
Index - Class in org.nd4j.util
An index is a transform of objects augmented with a list and a reverse lookup table for fast lookups.
Index() - Constructor for class org.nd4j.util.Index
 
INDEX_ACCUMULATION - Static variable in class org.nd4j.graph.OpType
 
INDEX_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogTensorOutput
 
IndexAccumulation - Interface in org.nd4j.linalg.api.ops
An index accumulation is an operation that returns an index within a NDArray.
Examples of IndexAccumulation operations include finding the index of the minimim value, index of the maximum value, index of the first element equal to value y, index of the maximum pair-wise difference between two NDArrays X and Y etc.
Index accumulation is similar to Accumulation in that both are accumulation/reduction operations, however index accumulation returns an integer corresponding to an index, rather than a real (or complex) value.
Index accumulation operations generally have 3 inputs:
x -> the origin ndarray
y -> the pairwise ndarray (frequently null/not applicable)
n -> the number of times to accumulate
Note that IndexAccumulation op implementations should be stateless (other than the final result and x/y/n arguments) and hence threadsafe, such that they may be parallelized using the update, combineSubResults and set/getFinalResults methods.
IndexAnalysis - Class in org.ansj.splitWord.analysis
用于检索的分词方式
IndexAnalysis() - Constructor for class org.ansj.splitWord.analysis.IndexAnalysis
 
IndexAnalysis(Reader) - Constructor for class org.ansj.splitWord.analysis.IndexAnalysis
 
indexedRDD(JavaRDD<T>) - Static method in class org.deeplearning4j.spark.util.SparkUtils
 
indexer - Variable in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
indexer() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
Returns the indexer for the buffer
indexer() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
Returns the indexer for the buffer
indexesBinarySearch(int, int, int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
Return the position of the idx array into the indexes buffer between the lower and upper bound.
indexesFor(long...) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
Add indexes for the given shape
IndexInfo - Class in org.nd4j.linalg.indexing
 
IndexInfo(INDArrayIndex...) - Constructor for class org.nd4j.linalg.indexing.IndexInfo
 
indexingArguments - Variable in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate
 
indexInterval - Variable in class org.datavec.hadoop.records.writer.mapfile.AbstractMapFileWriter
 
indexOf(Object) - Method in class org.datavec.api.writable.batch.AbstractTimeSeriesWritableRecordBatch
 
indexOf(Object) - Method in class org.datavec.api.writable.batch.AbstractWritableRecordBatch
 
indexOf(Object) - Method in class org.datavec.arrow.recordreader.ArrowWritableRecordBatch
 
indexOf(Object) - Method in class org.datavec.arrow.recordreader.ArrowWritableRecordTimeSeriesBatch
 
indexOf(String) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors
 
indexOf(String) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
indexOf(String) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
 
indexOf(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Returns Huffman index for specified label
indexOf(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
Returns the index of a given word
indexOf(String) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Returns the index of a given word
indexOf(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
This method returns index of word in sorted list.
indexOf(String) - Method in class org.deeplearning4j.text.documentiterator.LabelsSource
 
indexOf(Object) - Method in class org.nd4j.linalg.collection.CompactHeapStringList
 
indexOf(Object) - Method in class org.nd4j.list.BaseNDArrayList
 
indexOf(Object) - Method in class org.nd4j.list.matrix.MatrixBaseNDArrayList
 
indexOf(Object) - Method in class org.nd4j.list.NDArrayList
 
indexOf(Object) - Method in class org.nd4j.util.Index
 
IndexToKey - Interface in org.datavec.hadoop.records.reader.mapfile
An interface to handle Index to key conversion, for use in MapFileReader
indexToValues(int[], int, int) - Static method in class org.deeplearning4j.arbiter.optimize.generator.GridSearchCandidateGenerator
 
indices - Variable in class org.deeplearning4j.clustering.vptree.VPTree.NodeBuilder
 
indices - Variable in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
 
indices - Variable in class org.nd4j.linalg.api.ops.impl.shape.Gather
 
Indices - Class in org.nd4j.linalg.indexing
Indexing util.
Indices() - Constructor for class org.nd4j.linalg.indexing.Indices
 
IndicesList(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.IndicesList
Pointer cast constructor.
IndicesList(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCuda.IndicesList
Pointer cast constructor.
inequalityHandling - Variable in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
InequalityHandling - Enum in org.nd4j.linalg.dataset.api.iterator.enums
This enum describes different handling options for situations once one of producer runs out of data
INF_PANIC - Static variable in class org.nd4j.graph.ProfilingMode
 
infer(List<Writable>) - Static method in class org.datavec.api.transform.schema.Schema
Infers a schema based on the record.
inferCategories(RecordReader, int) - Static method in class org.datavec.api.transform.TransformProcess
Infer the categories for the given record reader for a particular column Note that each "column index" is a column in the context of: List record = ...; record.get(columnIndex); Note that anything passed in as a column will be automatically converted to a string for categorical purposes.
inferCategories(RecordReader, int[]) - Static method in class org.datavec.api.transform.TransformProcess
Infer the categories for the given record reader for a particular set of columns (this is more efficient than TransformProcess.inferCategories(RecordReader, int) if you have more than one column you plan on inferring categories for) Note that each "column index" is a column in the context of: List record = ...; record.get(columnIndex); Note that anything passed in as a column will be automatically converted to a string for categorical purposes.
InferenceCallable(VocabCache<VocabWord>, TokenizerFactory, LabelledDocument) - Constructor for class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.InferenceCallable
 
InferenceCallable(VocabCache<VocabWord>, TokenizerFactory, LabelledDocument, AtomicLong) - Constructor for class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.InferenceCallable
 
inferenceExecutor - Variable in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
 
inferenceLocker - Variable in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
 
InferenceMode - Enum in org.deeplearning4j.parallelism.inference
 
inferenceMode(InferenceMode) - Method in class org.deeplearning4j.parallelism.ParallelInference.Builder
This method allows you to define mode that'll be used during inference.
InferenceObservable - Interface in org.deeplearning4j.parallelism.inference
 
inferenceWorkspaceMode - Variable in class org.deeplearning4j.arbiter.ComputationGraphSpace.Builder
 
inferenceWorkspaceMode(WorkspaceMode) - Method in class org.deeplearning4j.arbiter.ComputationGraphSpace.Builder
 
inferenceWorkspaceMode - Variable in class org.deeplearning4j.arbiter.ComputationGraphSpace
 
inferenceWorkspaceMode - Variable in class org.deeplearning4j.arbiter.MultiLayerSpace.Builder
 
inferenceWorkspaceMode(WorkspaceMode) - Method in class org.deeplearning4j.arbiter.MultiLayerSpace.Builder
 
inferenceWorkspaceMode - Variable in class org.deeplearning4j.arbiter.MultiLayerSpace
 
inferenceWorkspaceMode - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
 
inferenceWorkspaceMode - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
 
inferenceWorkspaceMode(WorkspaceMode) - Method in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
inferenceWorkspaceMode - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration
 
inferenceWorkspaceMode - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
inferenceWorkspaceMode(WorkspaceMode) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
This method defines Workspace mode being used during inference:
NONE: workspace won't be used
ENABLED: workspaces will be used for inference (reduced memory and better performance)
inferenceWorkspaceMode(WorkspaceMode) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
This method defines Workspace mode being used during inference:
NONE: workspace won't be used
ENABLED: workspaces will be used for inference (reduced memory and better performance)
inferenceWorkspaceMode - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
inferInputLength(boolean) - Method in class org.deeplearning4j.nn.conf.layers.EmbeddingSequenceLayer.Builder
Set input sequence inference mode for embedding layer.
inferInputType(INDArray) - Static method in class org.deeplearning4j.nn.conf.inputs.InputType
 
inferInputTypes(INDArray...) - Static method in class org.deeplearning4j.nn.conf.inputs.InputType
 
inferLabelClasses() - Method in class org.datavec.api.io.labels.ParentPathLabelGenerator
 
inferLabelClasses() - Method in interface org.datavec.api.io.labels.PathLabelGenerator
If true: infer the set of possible label classes, and convert these to integer indexes.
inferLabelClasses() - Method in class org.datavec.api.io.labels.PatternPathLabelGenerator
 
inferMultiple(List<List<Writable>>) - Static method in class org.datavec.api.transform.schema.Schema
Infers a schema based on the record.
InferredSchema - Class in org.datavec.api.transform.schema
If passed a CSV file that contains a header and a single row of sample data, it will return a Schema.
InferredSchema(String) - Constructor for class org.datavec.api.transform.schema.InferredSchema
 
InferredSchema(String, InferredSchema.DataType) - Constructor for class org.datavec.api.transform.schema.InferredSchema
 
InferredSchema(String, InferredSchema.DataType, char) - Constructor for class org.datavec.api.transform.schema.InferredSchema
 
InferredSchema(String, InferredSchema.DataType, char, char) - Constructor for class org.datavec.api.transform.schema.InferredSchema
 
InferredSchema(String, InferredSchema.DataType, char, char, char) - Constructor for class org.datavec.api.transform.schema.InferredSchema
 
inferSequence(List<List<Writable>>) - Static method in class org.datavec.api.transform.schema.SequenceSchema
Infers a sequence schema based on the record
inferSequence(Sequence<T>, long, double, double, int) - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
This method does training on previously unseen paragraph, and returns inferred vector
inferSequence(Sequence<T>, long, double, double, int) - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
This method does training on previously unseen paragraph, and returns inferred vector
inferSequence(Sequence<T>, long, double, double, int) - Method in interface org.deeplearning4j.models.embeddings.learning.SequenceLearningAlgorithm
This method does training on previously unseen paragraph, and returns inferred vector
inferSequence(Sequence<ShallowSequenceElement>, long, double, double, int) - Method in class org.deeplearning4j.spark.models.sequencevectors.learning.sequence.BaseSparkSequenceLearningAlgorithm
 
inferSequenceMulti(List<List<List<Writable>>>) - Static method in class org.datavec.api.transform.schema.SequenceSchema
Infers a sequence schema based on the record
inferVector(Collection<Vertex<V>>) - Method in class org.deeplearning4j.models.node2vec.Node2Vec
Deprecated.
 
inferVector(String, double, double, int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
This method calculates inferred vector for given text
inferVector(LabelledDocument, double, double, int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
This method calculates inferred vector for given document
inferVector(List<VocabWord>, double, double, int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
This method calculates inferred vector for given document
inferVector(String) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
This method calculates inferred vector for given text, with default parameters for learning rate and iterations
inferVector(LabelledDocument) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
This method calculates inferred vector for given document, with default parameters for learning rate and iterations
inferVector(List<VocabWord>) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
This method calculates inferred vector for given list of words, with default parameters for learning rate and iterations
inferVectorBatched(LabelledDocument) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
This method implements batched inference, based on Java Future parallelism model.
inferVectorBatched(String) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
This method implements batched inference, based on Java Future parallelism model.
inferVectorBatched(List<String>) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
This method does inference on a given List<String>
inferVersion() - Static method in class org.deeplearning4j.util.CrashReportingUtil
 
InFileAndMemoryDataSetCache - Class in org.nd4j.linalg.dataset.api.iterator.cache
Created by anton on 7/20/16.
InFileAndMemoryDataSetCache(File) - Constructor for class org.nd4j.linalg.dataset.api.iterator.cache.InFileAndMemoryDataSetCache
 
InFileAndMemoryDataSetCache(Path) - Constructor for class org.nd4j.linalg.dataset.api.iterator.cache.InFileAndMemoryDataSetCache
 
InFileAndMemoryDataSetCache(String) - Constructor for class org.nd4j.linalg.dataset.api.iterator.cache.InFileAndMemoryDataSetCache
 
InFileDataSetCache - Class in org.nd4j.linalg.dataset.api.iterator.cache
Created by anton on 7/18/16.
InFileDataSetCache(File) - Constructor for class org.nd4j.linalg.dataset.api.iterator.cache.InFileDataSetCache
 
InFileDataSetCache(Path) - Constructor for class org.nd4j.linalg.dataset.api.iterator.cache.InFileDataSetCache
 
InFileDataSetCache(String) - Constructor for class org.nd4j.linalg.dataset.api.iterator.cache.InFileDataSetCache
 
InfiniteColumnCondition - Class in org.datavec.api.transform.condition.column
A column condition that simply checks whether a floating point value is infinite
InfiniteColumnCondition(String) - Constructor for class org.datavec.api.transform.condition.column.InfiniteColumnCondition
 
InfiniteColumnCondition(String, SequenceConditionMode) - Constructor for class org.datavec.api.transform.condition.column.InfiniteColumnCondition
 
Info() - Constructor for class org.deeplearning4j.rl4j.util.DataManager.Info
 
info(String) - Method in class org.nd4j.tools.SIS
info
public void info( String oinfo )
This method is input for informations.
Informations are showed in console and saved in file.
info(Logger, String, Object...) - Static method in class org.nd4j.util.OneTimeLogger
 
INFO_FILENAME - Static variable in class org.deeplearning4j.rl4j.util.Constants
 
infoFromBuffer(LongPointer) - Static method in class org.nd4j.nativeblas.Nd4jCpu
Converts a raw int buffer of the layout: rank shape stride offset elementWiseStride where shape and stride are both straight int pointers
infoFromBuffer(LongBuffer) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
infoFromBuffer(long[]) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
infoFromBuffer(LongPointer) - Static method in class org.nd4j.nativeblas.Nd4jCuda
Converts a raw int buffer of the layout: rank shape stride offset elementWiseStride where shape and stride are both straight int pointers
infoFromBuffer(LongBuffer) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
infoFromBuffer(long[]) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
InfoLine - Class in org.nd4j.tools
Save values and titles for one values line.
Columns are separated with char '|'.
Collaborate with class InfoValues.
InfoLine() - Constructor for class org.nd4j.tools.InfoLine
 
information(double[]) - Static method in class org.deeplearning4j.clustering.util.MathUtils
This returns the entropy for a given vector of probabilities.
information(double[]) - Static method in class org.nd4j.linalg.util.MathUtils
This returns the entropy for a given vector of probabilities.
informationCollection - Variable in class org.nd4j.parameterserver.distributed.util.NetworkOrganizer
 
InfoValues - Class in org.nd4j.tools
Save value and it's titles for one column.
Titles strings in array create one title column.
One main column can have several sub columns.
Columns are separated with char '|'.
Collaborate with class InfoLine.
InfoValues(String...) - Constructor for class org.nd4j.tools.InfoValues
 
INHERIT - Static variable in class org.nd4j.graph.DataType
 
init(String[]) - Method in class org.ansj.domain.AnsjItem
 
init(InputSplit) - Method in class org.datavec.api.split.partition.NumberOfRecordsPartitioner
 
init(Configuration, InputSplit) - Method in class org.datavec.api.split.partition.NumberOfRecordsPartitioner
 
init(InputSplit) - Method in interface org.datavec.api.split.partition.Partitioner
Initializes this partitioner with the given configuration and input split
init(Configuration, InputSplit) - Method in interface org.datavec.api.split.partition.Partitioner
Initializes this partitioner with the given configuration and input split
init() - Method in class org.deeplearning4j.arbiter.optimize.runner.BaseOptimizationRunner
 
init(WeightLookupTable<T>) - Method in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
 
init(WeightLookupTable<T>) - Method in class org.deeplearning4j.models.embeddings.reader.impl.TreeModelUtils
 
init(WeightLookupTable<T>) - Method in interface org.deeplearning4j.models.embeddings.reader.ModelUtils
This method implementations should accept given lookup table, and use them in further calls to interface methods
init - Variable in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
 
init() - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
Init method validates configuration defined using
init() - Method in interface org.deeplearning4j.nn.api.Model
Init the model
init() - Method in interface org.deeplearning4j.nn.api.NeuralNetwork
This method does initialization of model PLEASE NOTE: All implementations should track own state, to avoid double spending
init(NeuralNetConfiguration, INDArray, boolean) - Method in interface org.deeplearning4j.nn.api.ParamInitializer
Initialize the parameters
init() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Initialize the ComputationGraph network
init(INDArray, boolean) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Initialize the ComputationGraph, optionally with an existing parameters array.
init() - Method in class org.deeplearning4j.nn.layers.AbstractLayer
Init the model
init() - Method in class org.deeplearning4j.nn.layers.FrozenLayer
Init the model
init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.layers.ocnn.OCNNParamInitializer
 
init() - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
init() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
Init the model
init() - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
init(SolrResourceLoader) - Method in class org.deeplearning4j.nn.modelexport.solr.ltr.model.ScoringModel
 
init() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Initialize the MultiLayerNetwork.
init(INDArray, boolean) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Initialize the MultiLayerNetwork, optionally with an existing parameters array.
init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.BatchNormalizationParamInitializer
 
init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.BidirectionalParamInitializer
 
init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.CenterLossParamInitializer
 
init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.Convolution3DParamInitializer
 
init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.ConvolutionParamInitializer
 
init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.DefaultParamInitializer
 
init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.DepthwiseConvolutionParamInitializer
 
init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.ElementWiseParamInitializer
Initialize the parameters
init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.EmptyParamInitializer
 
init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.FrozenLayerParamInitializer
 
init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.FrozenLayerWithBackpropParamInitializer
 
init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.GravesBidirectionalLSTMParamInitializer
 
init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.GravesLSTMParamInitializer
 
init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.LSTMParamInitializer
 
init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.PReLUParamInitializer
 
init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.PretrainParamInitializer
 
init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.SameDiffParamInitializer
 
init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.SeparableConvolutionParamInitializer
 
init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.SimpleRnnParamInitializer
 
init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer
 
init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.WrapperLayerParamInitializer
 
init() - Method in class org.deeplearning4j.nn.updater.UpdaterBlock
 
init(Model, Object...) - Method in class org.deeplearning4j.parallelism.factory.DefaultTrainerContext
Initialize the context
init(Model, Object...) - Method in class org.deeplearning4j.parallelism.factory.SymmetricTrainerContext
Initialize the context
init(Model, Object...) - Method in interface org.deeplearning4j.parallelism.factory.TrainerContext
Initialize the context
init() - Method in class org.deeplearning4j.parallelism.ParallelInference
 
init() - Method in class org.deeplearning4j.parallelism.ParallelWrapper
 
init(Model, Object...) - Method in class org.deeplearning4j.parallelism.parameterserver.ParameterServerTrainerContext
Initialize the context
init() - Method in class org.deeplearning4j.plot.BarnesHutTsne
Init the model
init() - Method in class org.deeplearning4j.plot.Tsne
 
init(VoidConfiguration, Transport, Storage, Clipboard) - Method in class org.deeplearning4j.spark.parameterserver.networking.SilentTrainingDriver
 
init() - Method in class org.deeplearning4j.spark.parameterserver.pw.SharedTrainingWrapper
 
init() - Method in interface org.deeplearning4j.zoo.InstantiableModel
 
init() - Method in class org.deeplearning4j.zoo.model.AlexNet
 
init() - Method in class org.deeplearning4j.zoo.model.Darknet19
 
init() - Method in class org.deeplearning4j.zoo.model.FaceNetNN4Small2
 
init() - Method in class org.deeplearning4j.zoo.model.InceptionResNetV1
 
init() - Method in class org.deeplearning4j.zoo.model.LeNet
 
init() - Method in class org.deeplearning4j.zoo.model.NASNet
 
init() - Method in class org.deeplearning4j.zoo.model.ResNet50
 
init() - Method in class org.deeplearning4j.zoo.model.SimpleCNN
 
init() - Method in class org.deeplearning4j.zoo.model.SqueezeNet
 
init() - Method in class org.deeplearning4j.zoo.model.TextGenerationLSTM
 
init() - Method in class org.deeplearning4j.zoo.model.TinyYOLO
 
init() - Method in class org.deeplearning4j.zoo.model.UNet
 
init() - Method in class org.deeplearning4j.zoo.model.VGG16
 
init() - Method in class org.deeplearning4j.zoo.model.VGG19
 
init() - Method in class org.deeplearning4j.zoo.model.Xception
 
init() - Method in class org.deeplearning4j.zoo.model.YOLO2
 
init(Configuration) - Method in interface org.nd4j.jita.balance.Balancer
Deprecated.
This method initializes this Balancer instance
init(Allocator) - Method in interface org.nd4j.jita.flow.FlowController
 
init(Allocator) - Method in class org.nd4j.jita.flow.impl.AsynchronousFlowController
Deprecated.
 
init(Allocator) - Method in class org.nd4j.jita.flow.impl.SynchronousFlowController
 
init(Configuration, Allocator) - Method in class org.nd4j.jita.handler.impl.CudaZeroHandler
This method gets called from Allocator, during Allocator/MemoryHandler initialization
init(Configuration, Allocator) - Method in interface org.nd4j.jita.handler.MemoryHandler
This method gets called from Allocator, during Allocator/MemoryHandler initialization
init() - Method in class org.nd4j.jita.memory.impl.CudaFullCachingProvider
 
init() - Method in class org.nd4j.jita.workspace.CudaWorkspace
 
init(int[], int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
init(long[], long[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
init(long[]) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.BaseIndexAccumulation
 
init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.BaseOp
 
init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.accum.Variance
 
init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarMax
 
init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarMin
 
init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarSet
 
init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.Axpy
 
init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.OldAddOp
 
init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.OldDivOp
 
init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.OldFloorDivOp
 
init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.OldFModOp
 
init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.OldMulOp
 
init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.OldRDivOp
 
init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.OldSubOp
 
init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RemainderOp
 
init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.BinaryMinimalRelativeError
 
init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.BinaryRelativeError
 
init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndReplace
 
init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet
 
init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.LeakyReLUDerivative
 
init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.LeakyReLU
 
init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.LegacyDropOut
 
init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.LegacyDropOutInverted
 
init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.OldAtan2Op
 
init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.OldSoftMax
 
init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Pow
 
init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.PowDerivative
 
init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Reciprocal
 
init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.RectifedLinear
 
init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.RelativeError
 
init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Relu6
 
init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.ReplaceNans
 
init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.SetRange
 
init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Step
 
init(INDArray, INDArray, INDArray, long) - Method in interface org.nd4j.linalg.api.ops.Op
Initialize the operation based on the parameters
init() - Method in class org.nd4j.linalg.api.ops.performance.primitives.AveragingTransactionsHolder
 
init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.random.impl.AlphaDropOut
 
init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.random.impl.DropOut
 
init(INDArray, INDArray, INDArray, long) - Method in class org.nd4j.linalg.api.ops.random.impl.DropOutInverted
 
init(NativeOps, ConstantHandler) - Method in class org.nd4j.linalg.cpu.nativecpu.CpuTADManager
 
init() - Method in class org.nd4j.linalg.cpu.nativecpu.rng.CpuNativeRandom
 
init() - Method in class org.nd4j.linalg.cpu.nativecpu.workspace.CpuWorkspace
 
init(INDArray, long, int) - Method in interface org.nd4j.linalg.indexing.INDArrayIndex
Init the index wrt the dimension and the given nd array
init(INDArray, int) - Method in interface org.nd4j.linalg.indexing.INDArrayIndex
Init the index wrt the dimension and the given nd array
init(long, long, long) - Method in interface org.nd4j.linalg.indexing.INDArrayIndex
 
init(long, long) - Method in interface org.nd4j.linalg.indexing.INDArrayIndex
Initiailize based on the specified begin and end
init(INDArray, long, int) - Method in class org.nd4j.linalg.indexing.IntervalIndex
 
init(INDArray, int) - Method in class org.nd4j.linalg.indexing.IntervalIndex
 
init(long, long, long) - Method in class org.nd4j.linalg.indexing.IntervalIndex
 
init(long, long) - Method in class org.nd4j.linalg.indexing.IntervalIndex
 
init(INDArray, long, int) - Method in class org.nd4j.linalg.indexing.NDArrayIndex
 
init(INDArray, int) - Method in class org.nd4j.linalg.indexing.NDArrayIndex
 
init(long, long, long) - Method in class org.nd4j.linalg.indexing.NDArrayIndex
 
init(long, long) - Method in class org.nd4j.linalg.indexing.NDArrayIndex
 
init(INDArray, long, int) - Method in class org.nd4j.linalg.indexing.NDArrayIndexAll
 
init(INDArray, long, int) - Method in class org.nd4j.linalg.indexing.NDArrayIndexEmpty
 
init(INDArray, int) - Method in class org.nd4j.linalg.indexing.NDArrayIndexEmpty
 
init(long, long, long) - Method in class org.nd4j.linalg.indexing.NDArrayIndexEmpty
 
init(long, long) - Method in class org.nd4j.linalg.indexing.NDArrayIndexEmpty
 
init(INDArray, long, int) - Method in class org.nd4j.linalg.indexing.NewAxis
 
init(INDArray, int) - Method in class org.nd4j.linalg.indexing.NewAxis
 
init(long, long, long) - Method in class org.nd4j.linalg.indexing.NewAxis
 
init(long, long) - Method in class org.nd4j.linalg.indexing.NewAxis
 
init(INDArray, long, int) - Method in class org.nd4j.linalg.indexing.PointIndex
 
init(INDArray, int) - Method in class org.nd4j.linalg.indexing.PointIndex
 
init(long, long, long) - Method in class org.nd4j.linalg.indexing.PointIndex
 
init(long, long) - Method in class org.nd4j.linalg.indexing.PointIndex
 
init(INDArray, long, int) - Method in class org.nd4j.linalg.indexing.SpecifiedIndex
 
init(INDArray, int) - Method in class org.nd4j.linalg.indexing.SpecifiedIndex
 
init(long, long, long) - Method in class org.nd4j.linalg.indexing.SpecifiedIndex
 
init(long, long) - Method in class org.nd4j.linalg.indexing.SpecifiedIndex
 
init() - Method in class org.nd4j.linalg.jcublas.rng.CudaNativeRandom
 
init() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
 
init(Logger, Properties, String) - Method in class org.nd4j.nativeblas.Nd4jCpuPresets
 
init(VoidConfiguration, Transport) - Method in interface org.nd4j.parameterserver.distributed.logic.ClientRouter
 
init(VoidConfiguration, Transport) - Method in class org.nd4j.parameterserver.distributed.logic.retransmission.DefaultRetransmissionHandler
 
init(VoidConfiguration, Transport) - Method in interface org.nd4j.parameterserver.distributed.logic.RetransmissionHandler
 
init(VoidConfiguration, Transport) - Method in class org.nd4j.parameterserver.distributed.logic.routing.BaseRouter
 
init(VoidConfiguration, Transport) - Method in class org.nd4j.parameterserver.distributed.logic.routing.InterleavedRouter
 
init(VoidConfiguration, Transport) - Method in class org.nd4j.parameterserver.distributed.logic.routing.RandomRouter
 
init(VoidConfiguration, Transport) - Method in class org.nd4j.parameterserver.distributed.logic.routing.StaticRouter
 
init(VoidConfiguration, Transport, Storage, Clipboard) - Method in class org.nd4j.parameterserver.distributed.training.BaseTrainer
 
init(VoidConfiguration, Transport, Storage, Clipboard) - Method in class org.nd4j.parameterserver.distributed.training.TrainerProvider
 
init(VoidConfiguration, Transport, Storage, Clipboard) - Method in interface org.nd4j.parameterserver.distributed.training.TrainingDriver
 
init(VoidConfiguration, Clipboard, NodeRole, String, int, short) - Method in class org.nd4j.parameterserver.distributed.transport.BaseTransport
This method does initialization of Transport instance
init(VoidConfiguration, Clipboard, NodeRole, String, int, short) - Method in class org.nd4j.parameterserver.distributed.transport.LocalTransport
Deprecated.
This method does initialization of Transport instance
init(VoidConfiguration, Clipboard, NodeRole, String, int, short) - Method in class org.nd4j.parameterserver.distributed.transport.MulticastTransport
 
init(VoidConfiguration, Clipboard, NodeRole, String, int, short) - Method in class org.nd4j.parameterserver.distributed.transport.RoutedTransport
 
init(VoidConfiguration, Clipboard, NodeRole, String, int, short) - Method in interface org.nd4j.parameterserver.distributed.transport.Transport
This method does initialization of Transport instance
init(VoidConfiguration) - Method in class org.nd4j.parameterserver.distributed.VoidParameterServer
 
init(VoidConfiguration, Transport, TrainingDriver<? extends TrainingMessage>) - Method in class org.nd4j.parameterserver.distributed.VoidParameterServer
This method starts ParameterServer instance PLEASE NOTE: This method is blocking for first caller only
init() - Method in class org.nd4j.rng.NativeRandom
 
init() - Method in class vizdoom.DoomGame
 
initAdaGrad() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
initBigramTables() - Static method in class org.ansj.util.MyStaticValue
词与词之间的关联表数据
initCalled - Variable in class org.deeplearning4j.nn.graph.ComputationGraph
 
initCalled - Variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
initClusters() - Method in class org.deeplearning4j.clustering.algorithm.BaseClusteringAlgorithm
Initialize the cluster centers at random
initContext() - Method in class org.nd4j.linalg.factory.Nd4j
Initializes nd4j
initCudaContextForThread(Long) - Method in class org.nd4j.jita.handler.impl.CudaZeroHandler
This method does initialization for thread.
initDeviceCollectors() - Method in class org.nd4j.jita.allocator.impl.AtomicAllocator
This method executes garbage collectors for each special device (i.e.
initDone - Variable in class org.deeplearning4j.arbiter.optimize.generator.BaseCandidateGenerator
 
initDone - Variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
initExpTable() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
initExpTable() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec
 
initExpTable(int) - Method in class org.nd4j.parameterserver.distributed.messages.intercom.DistributedInitializationMessage
 
InitFieldsPresentDecoder - Class in org.deeplearning4j.ui.stats.sbe
 
InitFieldsPresentDecoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.InitFieldsPresentDecoder
 
InitFieldsPresentEncoder - Class in org.deeplearning4j.ui.stats.sbe
 
InitFieldsPresentEncoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.InitFieldsPresentEncoder
 
initFinished - Variable in class org.nd4j.parameterserver.distributed.VoidParameterServer
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.autodiff.functions.DifferentialFunction
Iniitialize the function from the given OnnxProto3.NodeProto
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.BaseAccumulation
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.BaseBroadcastOp
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.BaseOp
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.accum.CumProd
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.accum.CumSum
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.accum.Mmul
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.accum.TensorMmul
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.If
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.While
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling2D
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.BatchNorm
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1D
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2D
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2D
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.LocalResponseNormalization
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling2D
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2D
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.layers.Linear
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.GRUCell
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMCell
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.SRU
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.SRUCell
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.shape.bp.ConcatBp
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.shape.Concat
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.shape.Diag
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.shape.DiagPart
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.shape.Gather
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.shape.MergeAvg
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.shape.MergeMax
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.shape.MergeSum
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.shape.ParallelStack
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.shape.Rank
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.shape.Repeat
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.shape.Reshape
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.shape.Shape
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.shape.Stack
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayConcatV3
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayGatherV3
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayReadV3
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayScatterV3
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorSizeV3
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.shape.Transpose
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.shape.Unstack
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Assign
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByNorm
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByValue
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Fill
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Histogram
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.transforms.RectifiedTanh
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.impl.transforms.temp.ExternalErrorsFunction
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.NoOp
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.random.impl.DropOutInverted
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.api.ops.random.impl.Range
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.lossfunctions.impl.LossCosineProximity
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.lossfunctions.impl.LossFMeasure
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.lossfunctions.impl.LossHinge
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.lossfunctions.impl.LossKLD
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL1
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL2
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAE
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAPE
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMCXENT
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSE
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSLE
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMultiLabel
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.lossfunctions.impl.LossPoisson
 
initFromOnnx(OnnxProto3.NodeProto, SameDiff, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Method in class org.nd4j.linalg.lossfunctions.impl.LossSquaredHinge
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.autodiff.functions.DifferentialFunction
Initialize the function from the given NodeDef
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.BaseAccumulation
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.BaseBroadcastOp
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.BaseOp
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.accum.CumProd
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.accum.CumSum
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.accum.Mmul
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.accum.Moments
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.accum.NormalizeMoments
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.accum.SigmoidCrossEntropyLoss
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.accum.SoftmaxCrossEntropyLoss
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.accum.SoftmaxCrossEntropyLossWithLogits
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.accum.TensorMmul
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BiasAdd
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.BaseCompatOp
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Enter
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Exit
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.LoopCond
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Merge
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.NextIteration
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Switch
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.If
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.Select
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.While
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling2D
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.BatchNorm
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1D
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2D
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2DTF
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthToSpace
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2D
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.LocalResponseNormalization
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling2D
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2D
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SpaceToDepth
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.layers.Linear
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.GRUCell
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMCell
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.SRU
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.SRUCell
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.ApplyGradientDescent
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.bp.ConcatBp
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.Concat
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.ConfusionMatrix
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.Diag
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.DiagPart
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.ExpandDims
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.Gather
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.MergeAvg
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.MergeMax
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.MergeSum
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.OneHot
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.OnesLike
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.ParallelStack
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.Rank
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.Repeat
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.Reshape
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.SequenceMask
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.Shape
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.Slice
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.Split
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.SplitV
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.Squeeze
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.Stack
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.StridedSlice
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.BaseTensorOp
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayV3
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorSizeV3
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.Tile
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.Transpose
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.Unstack
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.shape.ZerosLike
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Assign
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByNorm
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByValue
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Dilation2D
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.transforms.dtype.Cast
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.transforms.DynamicPartition
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.transforms.DynamicStitch
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Fill
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Histogram
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.transforms.MirrorPad
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.transforms.ParallelConcat
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Pow
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.transforms.RectifiedTanh
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.transforms.ReverseSequence
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.impl.transforms.temp.ExternalErrorsFunction
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.NoOp
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.persistence.RestoreV2
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.persistence.SaveV2
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.random.custom.DistributionUniform
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.random.impl.DropOutInverted
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.api.ops.random.impl.Range
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.lossfunctions.impl.LossCosineProximity
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.lossfunctions.impl.LossFMeasure
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.lossfunctions.impl.LossHinge
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.lossfunctions.impl.LossKLD
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL1
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL2
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAE
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAPE
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMCXENT
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSE
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSLE
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMultiLabel
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.lossfunctions.impl.LossPoisson
 
initFromTensorFlow(NodeDef, SameDiff, Map<String, AttrValue>, GraphDef) - Method in class org.nd4j.linalg.lossfunctions.impl.LossSquaredHinge
 
initFunctionFromProperties(String, DifferentialFunction, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.NodeProto, OnnxProto3.GraphProto) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
Init a function's attributes
initFunctionFromProperties(DifferentialFunction, Map<String, AttrValue>, NodeDef, GraphDef) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
initFunctionFromProperties(String, DifferentialFunction, Map<String, AttrValue>, NodeDef, GraphDef) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
Init a function's attributes
initGradientsView() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
This method: initializes the flattened gradients array (used in backprop) and sets the appropriate subset in all layers.
initGradientsView() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
This method: initializes the flattened gradients array (used in backprop) and sets the appropriate subset in all layers.
initHandle() - Method in class org.nd4j.linalg.jcublas.context.CudaContext
Initializes a handle and associates with the given stream.
initHolder(VocabCache<VocabWord>, double[], int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.NegativeHolder
 
initHostCollectors() - Method in class org.nd4j.jita.allocator.impl.AtomicAllocator
This method executes preconfigured number of host memory garbage collectors
INITIAL_READ_SIZE - Static variable in class org.datavec.api.records.reader.impl.csv.SerializableCSVParser
 
INITIAL_VALUE_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.VariableDef
 
initialBlockSize - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
 
initialClusterCount - Variable in class org.deeplearning4j.clustering.strategy.BaseClusteringStrategy
 
InitializationAggregation - Class in org.nd4j.parameterserver.distributed.messages.aggregations
 
InitializationAggregation() - Constructor for class org.nd4j.parameterserver.distributed.messages.aggregations.InitializationAggregation
 
InitializationAggregation(int, int) - Constructor for class org.nd4j.parameterserver.distributed.messages.aggregations.InitializationAggregation
 
InitializationAggregation(short, short) - Constructor for class org.nd4j.parameterserver.distributed.messages.aggregations.InitializationAggregation
 
InitializationCompleteMessage - Class in org.nd4j.parameterserver.distributed.messages.complete
 
InitializationCompleteMessage() - Constructor for class org.nd4j.parameterserver.distributed.messages.complete.InitializationCompleteMessage
 
InitializationCompleteMessage(long) - Constructor for class org.nd4j.parameterserver.distributed.messages.complete.InitializationCompleteMessage
 
InitializationRequestMessage - Class in org.nd4j.parameterserver.distributed.messages.requests
This method propagates storage/weights initialization over distributed Shards
InitializationRequestMessage() - Constructor for class org.nd4j.parameterserver.distributed.messages.requests.InitializationRequestMessage
 
InitializationRequestMessage(int, int, long, boolean, boolean, int) - Constructor for class org.nd4j.parameterserver.distributed.messages.requests.InitializationRequestMessage
 
initialize(InputSplit) - Method in class org.datavec.api.records.reader.impl.collection.CollectionRecordReader
 
initialize(Configuration, InputSplit) - Method in class org.datavec.api.records.reader.impl.collection.CollectionRecordReader
 
initialize(InputSplit) - Method in class org.datavec.api.records.reader.impl.collection.CollectionSequenceRecordReader
 
initialize(Configuration, InputSplit) - Method in class org.datavec.api.records.reader.impl.collection.CollectionSequenceRecordReader
 
initialize(InputSplit) - Method in class org.datavec.api.records.reader.impl.collection.ListStringRecordReader
Called once at initialization.
initialize(Configuration, InputSplit) - Method in class org.datavec.api.records.reader.impl.collection.ListStringRecordReader
Called once at initialization.
initialize(InputSplit) - Method in class org.datavec.api.records.reader.impl.ComposableRecordReader
 
initialize(Configuration, InputSplit) - Method in class org.datavec.api.records.reader.impl.ComposableRecordReader
 
initialize(InputSplit) - Method in class org.datavec.api.records.reader.impl.ConcatenatingRecordReader
 
initialize(Configuration, InputSplit) - Method in class org.datavec.api.records.reader.impl.ConcatenatingRecordReader
 
initialize(Configuration, InputSplit) - Method in class org.datavec.api.records.reader.impl.csv.CSVNLinesSequenceRecordReader
 
initialize(Configuration, InputSplit) - Method in class org.datavec.api.records.reader.impl.csv.CSVRecordReader
 
initialize(Configuration, InputSplit) - Method in class org.datavec.api.records.reader.impl.csv.CSVVariableSlidingWindowRecordReader
 
initialize(InputSplit) - Method in class org.datavec.api.records.reader.impl.FileRecordReader
 
initialize(Configuration, InputSplit) - Method in class org.datavec.api.records.reader.impl.FileRecordReader
 
initialize(InputSplit) - Method in class org.datavec.api.records.reader.impl.inmemory.InMemoryRecordReader
Called once at initialization.
initialize(Configuration, InputSplit) - Method in class org.datavec.api.records.reader.impl.inmemory.InMemoryRecordReader
Called once at initialization.
initialize(InputSplit) - Method in class org.datavec.api.records.reader.impl.inmemory.InMemorySequenceRecordReader
Called once at initialization.
initialize(Configuration, InputSplit) - Method in class org.datavec.api.records.reader.impl.inmemory.InMemorySequenceRecordReader
Called once at initialization.
initialize(InputSplit) - Method in class org.datavec.api.records.reader.impl.jackson.JacksonRecordReader
 
initialize(Configuration, InputSplit) - Method in class org.datavec.api.records.reader.impl.jackson.JacksonRecordReader
 
initialize(InputSplit) - Method in class org.datavec.api.records.reader.impl.jdbc.JDBCRecordReader
Initialize all required jdbc elements and make the reader ready for iteration.
initialize(Configuration, InputSplit) - Method in class org.datavec.api.records.reader.impl.jdbc.JDBCRecordReader
Initialize all required jdbc elements and make the reader ready for iteration.
initialize(InputSplit) - Method in class org.datavec.api.records.reader.impl.LineRecordReader
 
initialize(Configuration, InputSplit) - Method in class org.datavec.api.records.reader.impl.LineRecordReader
 
initialize(Configuration, InputSplit) - Method in class org.datavec.api.records.reader.impl.misc.SVMLightRecordReader
Must be called before attempting to read records.
initialize(Configuration, InputSplit) - Method in class org.datavec.api.records.reader.impl.regex.RegexLineRecordReader
 
initialize(Configuration, InputSplit) - Method in class org.datavec.api.records.reader.impl.regex.RegexSequenceRecordReader
 
initialize(InputSplit) - Method in class org.datavec.api.records.reader.impl.transform.TransformProcessRecordReader
Called once at initialization.
initialize(Configuration, InputSplit) - Method in class org.datavec.api.records.reader.impl.transform.TransformProcessRecordReader
Called once at initialization.
initialize(InputSplit) - Method in class org.datavec.api.records.reader.impl.transform.TransformProcessSequenceRecordReader
Called once at initialization.
initialize(Configuration, InputSplit) - Method in class org.datavec.api.records.reader.impl.transform.TransformProcessSequenceRecordReader
Called once at initialization.
initialize(InputSplit) - Method in interface org.datavec.api.records.reader.RecordReader
Called once at initialization.
initialize(Configuration, InputSplit) - Method in interface org.datavec.api.records.reader.RecordReader
Called once at initialization.
initialize(InputSplit, Partitioner) - Method in class org.datavec.api.records.writer.impl.FileRecordWriter
 
initialize(Configuration, InputSplit, Partitioner) - Method in class org.datavec.api.records.writer.impl.FileRecordWriter
 
initialize(InputSplit, Partitioner) - Method in interface org.datavec.api.records.writer.RecordWriter
Initialize a record writer with the given input split
initialize(Configuration, InputSplit, Partitioner) - Method in interface org.datavec.api.records.writer.RecordWriter
Initialize the record reader with the given configuration and InputSplit
initialize() - Method in class org.datavec.api.split.FileSplit
 
initialize(Configuration) - Method in interface org.datavec.api.vector.Vectorizer
Initialize based on a configuration
initialize(InputSplit) - Method in class org.datavec.arrow.recordreader.ArrowRecordReader
 
initialize(Configuration, InputSplit) - Method in class org.datavec.arrow.recordreader.ArrowRecordReader
 
initialize(InputSplit, Partitioner) - Method in class org.datavec.arrow.recordreader.ArrowRecordWriter
 
initialize(Configuration, InputSplit, Partitioner) - Method in class org.datavec.arrow.recordreader.ArrowRecordWriter
 
initialize(InputSplit) - Method in class org.datavec.audio.recordreader.BaseAudioRecordReader
 
initialize(Configuration, InputSplit) - Method in class org.datavec.audio.recordreader.BaseAudioRecordReader
 
initialize(Configuration, InputSplit) - Method in class org.datavec.codec.reader.BaseCodecRecordReader
 
initialize(MapFile.Reader[], Class<? extends Writable>) - Method in class org.datavec.hadoop.records.reader.mapfile.index.LongIndexToKey
 
initialize(MapFile.Reader[], Class<? extends Writable>) - Method in interface org.datavec.hadoop.records.reader.mapfile.IndexToKey
Initialise the instance, and return the first and last record indexes (inclusive) for each reader
initialize(InputSplit) - Method in class org.datavec.hadoop.records.reader.mapfile.MapFileRecordReader
 
initialize(Configuration, InputSplit) - Method in class org.datavec.hadoop.records.reader.mapfile.MapFileRecordReader
 
initialize(InputSplit) - Method in class org.datavec.hadoop.records.reader.mapfile.MapFileSequenceRecordReader
 
initialize(Configuration, InputSplit) - Method in class org.datavec.hadoop.records.reader.mapfile.MapFileSequenceRecordReader
 
initialize(InputSplit, Partitioner) - Method in class org.datavec.hadoop.records.writer.mapfile.MapFileRecordWriter
 
initialize(Configuration, InputSplit, Partitioner) - Method in class org.datavec.hadoop.records.writer.mapfile.MapFileRecordWriter
 
initialize(InputSplit) - Method in class org.datavec.image.recordreader.BaseImageRecordReader
 
initialize(Configuration, InputSplit) - Method in class org.datavec.image.recordreader.BaseImageRecordReader
 
initialize(InputSplit, ImageTransform) - Method in class org.datavec.image.recordreader.BaseImageRecordReader
Called once at initialization.
initialize(Configuration, InputSplit, ImageTransform) - Method in class org.datavec.image.recordreader.BaseImageRecordReader
Called once at initialization.
initialize(InputSplit) - Method in class org.datavec.image.recordreader.objdetect.ObjectDetectionRecordReader
 
initialize(InputSplit) - Method in class org.datavec.image.recordreader.VideoRecordReader
 
initialize(Configuration, InputSplit) - Method in class org.datavec.image.recordreader.VideoRecordReader
 
initialize(UimaContext) - Method in class org.datavec.nlp.annotator.PoStagger
Initializes the current instance with the given context.
initialize(Configuration) - Method in class org.datavec.nlp.metadata.DefaultVocabCache
 
initialize(Configuration) - Method in interface org.datavec.nlp.metadata.VocabCache
Configuration for initializing
initialize(InputSplit) - Method in class org.datavec.nlp.reader.TfidfRecordReader
 
initialize(Configuration, InputSplit) - Method in class org.datavec.nlp.reader.TfidfRecordReader
 
initialize(UimaContext) - Method in class org.datavec.nlp.tokenization.tokenizer.ConcurrentTokenizer
Initializes the current instance with the given context.
initialize(Configuration) - Method in class org.datavec.nlp.vectorizer.TextVectorizer
 
initialize(Configuration, InputSplit) - Method in class org.datavec.poi.excel.ExcelRecordReader
 
initialize(InputSplit, Partitioner) - Method in class org.datavec.poi.excel.ExcelRecordWriter
 
initialize(Configuration, InputSplit, Partitioner) - Method in class org.datavec.poi.excel.ExcelRecordWriter
 
initialize(IOptimizationRunner) - Method in class org.deeplearning4j.arbiter.optimize.api.termination.MaxCandidatesCondition
 
initialize(IOptimizationRunner) - Method in class org.deeplearning4j.arbiter.optimize.api.termination.MaxTimeCondition
 
initialize(IOptimizationRunner) - Method in interface org.deeplearning4j.arbiter.optimize.api.termination.TerminationCondition
Initialize the termination condition (such as starting timers, etc).
initialize() - Method in class org.deeplearning4j.arbiter.optimize.generator.BaseCandidateGenerator
 
initialize() - Method in class org.deeplearning4j.arbiter.optimize.generator.GridSearchCandidateGenerator
 
initialize(ClusterSet, boolean) - Static method in class org.deeplearning4j.clustering.info.ClusterSetInfo
 
initialize() - Method in class org.deeplearning4j.earlystopping.termination.BestScoreEpochTerminationCondition
 
initialize() - Method in interface org.deeplearning4j.earlystopping.termination.EpochTerminationCondition
Initialize the epoch termination condition (often a no-op)
initialize() - Method in class org.deeplearning4j.earlystopping.termination.InvalidScoreIterationTerminationCondition
 
initialize() - Method in interface org.deeplearning4j.earlystopping.termination.IterationTerminationCondition
Initialize the iteration termination condition (sometimes a no-op)
initialize() - Method in class org.deeplearning4j.earlystopping.termination.MaxEpochsTerminationCondition
 
initialize() - Method in class org.deeplearning4j.earlystopping.termination.MaxScoreIterationTerminationCondition
 
initialize() - Method in class org.deeplearning4j.earlystopping.termination.MaxTimeIterationTerminationCondition
 
initialize() - Method in class org.deeplearning4j.earlystopping.termination.ScoreImprovementEpochTerminationCondition
 
initialize(IGraph<V, E>) - Method in class org.deeplearning4j.graph.models.deepwalk.DeepWalk
Initialize the DeepWalk model with a given graph.
initialize(int[]) - Method in class org.deeplearning4j.graph.models.deepwalk.DeepWalk
Initialize the DeepWalk model with a list of vertex degrees for a graph.
Specifically, graphVertexDegrees[i] represents the vertex degree of the ith vertex
vertex degrees are used to construct a binary (Huffman) tree, which is in turn used in the hierarchical softmax implementation
initialize() - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer
This method handles required initialization for GraphTransformer
initialize(GradientsAccumulator) - Method in class org.deeplearning4j.optimize.solvers.accumulation.EncodingHandler
 
initialize(GradientsAccumulator) - Method in class org.deeplearning4j.optimize.solvers.accumulation.LocalHandler
 
initialize(GradientsAccumulator) - Method in interface org.deeplearning4j.optimize.solvers.accumulation.MessageHandler
This method does initial configuration of given MessageHandler instance
initialize(InputSplit) - Method in class org.deeplearning4j.spark.datavec.iterator.SparkSourceDummyReader
 
initialize(Configuration, InputSplit) - Method in class org.deeplearning4j.spark.datavec.iterator.SparkSourceDummyReader
 
initialize(UimaContext) - Method in class org.deeplearning4j.text.annotator.PoStagger
Initializes the current instance with the given context.
initialize(UimaContext) - Method in class org.deeplearning4j.text.tokenization.tokenizer.ConcurrentTokenizer
Initializes the current instance with the given context.
initializeConstraints(Layer.Builder<?>) - Method in class org.deeplearning4j.nn.conf.layers.GravesBidirectionalLSTM
Deprecated.
 
initializeConstraints(Layer.Builder<?>) - Method in class org.deeplearning4j.nn.conf.layers.GravesLSTM
Deprecated.
 
initializeConstraints(Layer.Builder<?>) - Method in class org.deeplearning4j.nn.conf.layers.Layer
Initialize the weight constraints.
initializeConstraints(Layer.Builder<?>) - Method in class org.deeplearning4j.nn.conf.layers.LSTM
 
initializeConstraints(Layer.Builder<?>) - Method in class org.deeplearning4j.nn.conf.layers.SeparableConvolution2D
 
initializeCurrFromList(List<DataSet>) - Method in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher
Initializes this data transform fetcher from the passed in datasets
initializeDevice(Long, Integer) - Method in class org.nd4j.jita.handler.impl.CudaZeroHandler
This method initializes specific device for current thread
initializeDevice(Long, Integer) - Method in interface org.nd4j.jita.handler.MemoryHandler
This method initializes specific device for current thread
initializeDevicesAndFunctions() - Method in class org.nd4j.nativeblas.NativeOps
NEVER EVER USE THIS METHOD OUTSIDE OF CUDA
initializeDevicesAndFunctions() - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
This method implementation exists only for cuda.
initializeDevicesAndFunctions() - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
This method implementation exists only for cuda.
initializeFunctions(PointerPointer) - Method in class org.nd4j.nativeblas.NativeOps
 
initializeFunctions(PointerPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
initializeFunctions(PointerPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
initializeHelper() - Method in class org.deeplearning4j.nn.conf.dropout.Dropout
Initialize the CuDNN dropout helper, if possible
initializeIterators(List<DataSetIterator>) - Method in class org.deeplearning4j.datasets.iterator.parallel.JointParallelDataSetIterator
 
initializeParameters(Map<String, INDArray>) - Method in class org.deeplearning4j.nn.conf.layers.LocallyConnected1D
 
initializeParameters(Map<String, INDArray>) - Method in class org.deeplearning4j.nn.conf.layers.LocallyConnected2D
 
initializeParameters(Map<String, INDArray>) - Method in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer
Set the initial parameter values for this layer, if required
initializeParameters(Map<String, INDArray>) - Method in class org.deeplearning4j.nn.conf.layers.samediff.SameDiffLambdaLayer
 
initializeParameters(Map<String, INDArray>) - Method in class org.deeplearning4j.nn.conf.layers.samediff.SameDiffLambdaVertex
 
initializeParameters(Map<String, INDArray>) - Method in class org.deeplearning4j.nn.conf.layers.samediff.SameDiffVertex
Set the initial parameter values for this layer, if required
initializer() - Method in class org.deeplearning4j.nn.conf.layers.ActivationLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.AutoEncoder
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.BaseUpsamplingLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.BatchNormalization
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.CnnLossLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.Convolution3D
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.Deconvolution2D
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.DenseLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.DepthwiseConvolution2D
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.DropoutLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.EmbeddingLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.EmbeddingSequenceLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.GlobalPoolingLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.GravesBidirectionalLSTM
Deprecated.
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.GravesLSTM
Deprecated.
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.Layer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.LocalResponseNormalization
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.LossLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.LSTM
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.misc.ElementWiseMultiplicationLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.misc.FrozenLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.misc.FrozenLayerWithBackprop
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.misc.RepeatVector
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.NoParamLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.objdetect.Yolo2OutputLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.OutputLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.PReLULayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.recurrent.Bidirectional
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.recurrent.SimpleRnn
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.RnnLossLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.RnnOutputLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.SeparableConvolution2D
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.SpaceToBatchLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.SpaceToDepthLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.util.MaskLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.variational.VariationalAutoencoder
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.wrapper.BaseWrapperLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.ZeroPadding1DLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.ZeroPadding3DLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.ocnn.OCNNOutputLayer
 
INITIALIZER_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.GraphProto
 
INITIALIZER_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.GraphProto
 
INITIALIZER_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.VariableDef
 
initializeSeqVec(int, int, long, int, boolean, boolean) - Method in class org.nd4j.parameterserver.distributed.VoidParameterServer
This method handles Shards initialization PLEASE NOTE: This method is blocking
initializeWorkspace() - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspace
This method causes Workspace initialization PLEASE NOTE: This call will have no effect on previously initialized Workspace
initializeWorkspace() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
This method causes Workspace initialization
initializeWorkspace() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
 
initializeWorkspaces(long) - Method in class org.deeplearning4j.datasets.iterator.callbacks.InterleavedDataSetCallback
 
initialMemory - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator.Builder
 
initialMemory - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
initialMomentum - Variable in class org.deeplearning4j.plot.BarnesHutTsne
 
initialMomentum - Variable in class org.deeplearning4j.plot.Tsne.Builder
 
initialMomentum - Variable in class org.deeplearning4j.plot.Tsne
 
initialRValue - Variable in class org.deeplearning4j.arbiter.layers.OCNNLayerSpace.Builder
 
initialRValue(double) - Method in class org.deeplearning4j.arbiter.layers.OCNNLayerSpace.Builder
 
initialRValue(ParameterSpace<Double>) - Method in class org.deeplearning4j.arbiter.layers.OCNNLayerSpace.Builder
 
initialRValue - Variable in class org.deeplearning4j.arbiter.layers.OCNNLayerSpace
 
initialRValue - Variable in class org.deeplearning4j.nn.conf.ocnn.OCNNOutputLayer.Builder
 
initialRValue(double) - Method in class org.deeplearning4j.nn.conf.ocnn.OCNNOutputLayer.Builder
The initial r value to use for ocnn for definition, see the paper, note this is only active when OCNNOutputLayer.Builder.configureR is specified as true
initialSize - Variable in class org.nd4j.linalg.api.memory.conf.WorkspaceConfiguration
This variable specifies amount of memory allocated for this workspace during initialization
initInference() - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
 
initLearners() - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors
 
initLocker - Variable in class org.nd4j.parameterserver.distributed.VoidParameterServer
 
initMdp(MDP<O, A, AS>, IHistoryProcessor) - Static method in class org.deeplearning4j.rl4j.learning.Learning
 
initMdp() - Method in class org.deeplearning4j.rl4j.learning.Learning
 
InitMdp() - Constructor for class org.deeplearning4j.rl4j.learning.Learning.InitMdp
 
initNegative() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
initOldStream() - Method in class org.nd4j.linalg.jcublas.context.CudaContext
Initializes the old stream
initOptimizer() - Method in class org.deeplearning4j.optimize.Solver
 
initPretrained() - Method in class org.deeplearning4j.zoo.ZooModel
By default, will return a pretrained ImageNet if available.
initPretrained(PretrainedType) - Method in class org.deeplearning4j.zoo.ZooModel
Returns a pretrained model for the given dataset, if available.
initRandom(PointerPointer, long, long, Pointer) - Method in class org.nd4j.nativeblas.NativeOps
 
initRandom(PointerPointer, long, long, Pointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
initRandom(PointerPointer, long, long, Pointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
initStream() - Method in class org.nd4j.linalg.jcublas.context.CudaContext
Initializes the stream
initTypeAndSize() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
Initialize the opType of this buffer
initTypeAndSize() - Method in class org.nd4j.linalg.api.buffer.DoubleBuffer
Initialize the opType of this buffer
initTypeAndSize() - Method in class org.nd4j.linalg.api.buffer.FloatBuffer
Initialize the opType of this buffer
initTypeAndSize() - Method in class org.nd4j.linalg.api.buffer.IntBuffer
Initialize the opType of this buffer
initTypeAndSize() - Method in class org.nd4j.linalg.api.buffer.LongBuffer
Initialize the opType of this buffer
initTypeAndSize() - Method in class org.nd4j.linalg.compression.CompressedDataBuffer
Initialize the opType of this buffer
initTypeAndSize() - Method in class org.nd4j.linalg.jcublas.buffer.CudaDoubleDataBuffer
Initialize the opType of this buffer
initTypeAndSize() - Method in class org.nd4j.linalg.jcublas.buffer.CudaFloatDataBuffer
Initialize the opType of this buffer
initTypeAndSize() - Method in class org.nd4j.linalg.jcublas.buffer.CudaHalfDataBuffer
Initialize the opType of this buffer
initTypeAndSize() - Method in class org.nd4j.linalg.jcublas.buffer.CudaIntDataBuffer
Initialize the opType of this buffer
initTypeAndSize() - Method in class org.nd4j.linalg.jcublas.buffer.CudaLongDataBuffer
Initialize the opType of this buffer
initTypeClass() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
initTypeClass(String) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
initTypeClassCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
initTypeClassCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
initTypeClassHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
initTypeClassHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
initTypeClassId() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
initTypeClassId() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
initTypeClassLength() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
initTypeClassMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
initTypeClassMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
initValue(String[]) - Method in class org.ansj.domain.AnsjItem
 
initValues(int, String, PrintStream, PrintStream) - Method in class org.nd4j.tools.SIS
initValues
public void initValues( int mtLv, String superiorModuleCode,
PrintStream out, PrintStream err )
Initialize values for console - not file.
initValues(int, String, PrintStream, PrintStream, String, String, String, boolean, boolean) - Method in class org.nd4j.tools.SIS
initValues
public void initValues( int mtLv, String superiorModuleCode,
PrintStream out, PrintStream err, String fileDrcS,
String base_FileCode, String spc_FileCode,
boolean ShowBriefInfo, boolean ShowFullInfo )
Initialize values for console and file.
fullFileName =
"Z" +
TimeS + "_" +
base_FileCode + "_" +
spc_FileCode +
".txt";
TimeS (time string) format: "yyyyMMdd'_'HHmmss.SSS"
initWeights(int, int, WeightInit, INDArray) - Method in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer
 
initWeights(int[], float, float) - Static method in class org.deeplearning4j.nn.weights.WeightInitUtil
 
initWeights(double, double, int[], WeightInit, Distribution, INDArray) - Static method in class org.deeplearning4j.nn.weights.WeightInitUtil
Deprecated.
initWeights(double, double, long[], WeightInit, Distribution, INDArray) - Static method in class org.deeplearning4j.nn.weights.WeightInitUtil
Initializes a matrix with the given weight initialization scheme.
initWeights(double, double, int[], WeightInit, Distribution, char, INDArray) - Static method in class org.deeplearning4j.nn.weights.WeightInitUtil
Deprecated.
initWeights(double, double, long[], WeightInit, Distribution, char, INDArray) - Static method in class org.deeplearning4j.nn.weights.WeightInitUtil
 
initWithBackend(Nd4jBackend) - Method in class org.nd4j.linalg.factory.Nd4j
Initialize with the specific backend
inject(T) - Static method in class org.datavec.api.writable.UnsafeWritableInjector
 
injectVariable(Nd4jCpu.IntIntPair, Nd4jCpu.DoubleVariable) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleVariableSpace
 
injectVariable(Nd4jCpu.IntIntPair, Nd4jCpu.FloatVariable) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatVariableSpace
 
injectVariable(Nd4jCpu.IntIntPair, Nd4jCpu.HalfVariable) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfVariableSpace
 
injectVariable(Nd4jCuda.IntIntPair, Nd4jCuda.DoubleVariable) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleVariableSpace
 
injectVariable(Nd4jCuda.IntIntPair, Nd4jCuda.FloatVariable) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatVariableSpace
 
injectVariable(Nd4jCuda.IntIntPair, Nd4jCuda.HalfVariable) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfVariableSpace
 
InMemoryChunkAccumulator - Class in org.nd4j.aeron.ipc.chunk
Accumulate chunks and reassemble them.
InMemoryChunkAccumulator() - Constructor for class org.nd4j.aeron.ipc.chunk.InMemoryChunkAccumulator
 
InMemoryDataSetCache - Class in org.nd4j.linalg.dataset.api.iterator.cache
Created by anton on 7/16/16.
InMemoryDataSetCache() - Constructor for class org.nd4j.linalg.dataset.api.iterator.cache.InMemoryDataSetCache
 
InMemoryGraphLookupTable - Class in org.deeplearning4j.graph.models.embeddings
A standard in-memory implementation of a lookup table for vector representations of the vertices in a graph
InMemoryGraphLookupTable(int, int, BinaryTree, double) - Constructor for class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
 
InMemoryInstrumentation - Class in org.nd4j.linalg.api.instrumentation
Collects log entries in memory
InMemoryInstrumentation() - Constructor for class org.nd4j.linalg.api.instrumentation.InMemoryInstrumentation
 
InMemoryLookupCache - Class in org.deeplearning4j.models.word2vec.wordstore.inmemory
Deprecated.
InMemoryLookupCache() - Constructor for class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
InMemoryLookupCache(boolean) - Constructor for class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
InMemoryLookupTable<T extends SequenceElement> - Class in org.deeplearning4j.models.embeddings.inmemory
Default word lookup table
InMemoryLookupTable() - Constructor for class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
InMemoryLookupTable(VocabCache<T>, int, boolean, double, Random, double, boolean) - Constructor for class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
InMemoryLookupTable(VocabCache<T>, int, boolean, double, Random, double) - Constructor for class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
InMemoryLookupTable.Builder<T extends SequenceElement> - Class in org.deeplearning4j.models.embeddings.inmemory
 
InMemoryLookupTable.WeightIterator - Class in org.deeplearning4j.models.embeddings.inmemory
 
InMemoryModelSaver<T extends Model> - Class in org.deeplearning4j.earlystopping.saver
Save the best (and latest) models for early stopping training to memory for later retrieval Note: Assumes that network is cloneable via .clone() method
InMemoryModelSaver() - Constructor for class org.deeplearning4j.earlystopping.saver.InMemoryModelSaver
 
InMemoryNDArrayHolder - Class in org.nd4j.aeron.ndarrayholder
An in meory ndarray holder
InMemoryNDArrayHolder(int[]) - Constructor for class org.nd4j.aeron.ndarrayholder.InMemoryNDArrayHolder
 
InMemoryNDArrayHolder(INDArray) - Constructor for class org.nd4j.aeron.ndarrayholder.InMemoryNDArrayHolder
 
InMemoryRecordReader - Class in org.datavec.api.records.reader.impl.inmemory
This is a RecordReader primarily meant for unit tests.
InMemoryRecordReader(List<List<Writable>>) - Constructor for class org.datavec.api.records.reader.impl.inmemory.InMemoryRecordReader
 
InMemoryResultSaver - Class in org.deeplearning4j.arbiter.optimize.api.saving
A simple class to store optimization results in-memory.
InMemoryResultSaver() - Constructor for class org.deeplearning4j.arbiter.optimize.api.saving.InMemoryResultSaver
 
InMemorySequenceRecordReader - Class in org.datavec.api.records.reader.impl.inmemory
This is a SequenceRecordReader primarily meant for unit tests.
InMemorySequenceRecordReader(List<List<List<Writable>>>) - Constructor for class org.datavec.api.records.reader.impl.inmemory.InMemorySequenceRecordReader
 
InMemoryStatsStorage - Class in org.deeplearning4j.ui.storage
A StatsStorage implementation that stores all data in memory.
InMemoryStatsStorage() - Constructor for class org.deeplearning4j.ui.storage.InMemoryStatsStorage
 
InMemoryStatusStorage - Class in org.nd4j.parameterserver.status.play
In memory status storage for parameter server subscribers
InMemoryStatusStorage() - Constructor for class org.nd4j.parameterserver.status.play.InMemoryStatusStorage
 
InMemoryUpdateStorage - Class in org.nd4j.parameterserver.updater.storage
An in memory storage mechanism backed by a thread safe CopyOnWriteArrayList
InMemoryUpdateStorage() - Constructor for class org.nd4j.parameterserver.updater.storage.InMemoryUpdateStorage
 
innerMostStride() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
innerMostStride() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
innerMostStride() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Get the inner most stride wrt the ordering of the array
innerTime(int) - Method in class org.nd4j.nativeblas.Nd4jCpu.FlowPath
 
innerTime(int) - Method in class org.nd4j.nativeblas.Nd4jCuda.FlowPath
 
inPlace - Variable in class org.nd4j.autodiff.functions.DifferentialFunction
 
inplaceAllowed - Variable in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder
 
inplaceCall - Variable in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder
 
inplaceCall - Variable in class org.nd4j.linalg.api.ops.DynamicCustomOp
 
input() - Method in interface org.deeplearning4j.nn.api.Model
The input/feature matrix for the model
input() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
input - Variable in class org.deeplearning4j.nn.layers.AbstractLayer
 
input() - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
input() - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
input - Variable in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
input() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
input() - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
input - Variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
input() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
input() - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
input(int) - Method in class org.nd4j.graph.FlatNode
 
input() - Method in interface org.nd4j.linalg.api.ops.LossFunction
The true
input(int) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleContextPrototype
 
input(int) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatContextPrototype
 
input(int) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfContextPrototype
 
input(int) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleContextPrototype
 
input(int) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatContextPrototype
 
input(int) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfContextPrototype
 
INPUT_ARG_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef
 
INPUT_CHANNELS - Static variable in class org.deeplearning4j.datasets.fetchers.TinyImageNetFetcher
 
INPUT_COUNT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferInfo.NodeInfo
 
INPUT_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.GraphProto
 
INPUT_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.NodeProto
 
INPUT_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.GraphProto
 
INPUT_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.NodeProto
 
INPUT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NodeDef
 
INPUT_HEIGHT - Static variable in class org.deeplearning4j.datasets.fetchers.TinyImageNetFetcher
 
INPUT_INFO_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef.Node
 
INPUT_KEY - Static variable in class org.deeplearning4j.nn.layers.samediff.SameDiffLayer
 
INPUT_KEY - Static variable in class org.deeplearning4j.nn.layers.samediff.SameDiffOutputLayer
 
INPUT_RENAME_FIELD_NUMBER - Static variable in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
 
INPUT_WEIGHT_KEY - Static variable in class org.deeplearning4j.nn.params.GravesLSTMParamInitializer
 
INPUT_WEIGHT_KEY - Static variable in class org.deeplearning4j.nn.params.LSTMParamInitializer
 
INPUT_WEIGHT_KEY_BACKWARDS - Static variable in class org.deeplearning4j.nn.params.GravesBidirectionalLSTMParamInitializer
 
INPUT_WEIGHT_KEY_FORWARDS - Static variable in class org.deeplearning4j.nn.params.GravesBidirectionalLSTMParamInitializer
 
INPUT_WIDTH - Static variable in class org.deeplearning4j.datasets.fetchers.TinyImageNetFetcher
 
inputArguments() - Method in class org.nd4j.linalg.api.ops.custom.ScatterUpdate
 
inputArguments() - Method in interface org.nd4j.linalg.api.ops.CustomOp
 
inputArguments - Variable in class org.nd4j.linalg.api.ops.DynamicCustomOp
 
inputArguments() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
 
inputArguments() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.If
 
inputArguments() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.While
 
inputAsByteBuffer() - Method in class org.nd4j.graph.FlatNode
 
inputColumns(List<String>) - Method in class org.datavec.api.transform.stringreduce.StringReducer.Builder
 
inputColumns() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
inputColumns() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
 
inputColumns() - Method in class org.deeplearning4j.datasets.iterator.AbstractDataSetIterator
Input columns for the dataset
inputColumns() - Method in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
Input columns for the dataset
inputColumns() - Method in class org.deeplearning4j.datasets.iterator.AsyncShieldDataSetIterator
Input columns for the dataset
inputColumns() - Method in class org.deeplearning4j.datasets.iterator.BaseDatasetIterator
 
inputColumns() - Method in interface org.deeplearning4j.datasets.iterator.DataSetFetcher
Deprecated.
The length of a feature vector for an individual example
inputColumns() - Method in class org.deeplearning4j.datasets.iterator.EarlyTerminationDataSetIterator
 
inputColumns() - Method in class org.deeplearning4j.datasets.iterator.ExistingDataSetIterator
 
inputColumns() - Method in class org.deeplearning4j.datasets.iterator.file.FileDataSetIterator
 
inputColumns() - Method in class org.deeplearning4j.datasets.iterator.FileSplitDataSetIterator
 
inputColumns() - Method in class org.deeplearning4j.datasets.iterator.impl.BenchmarkDataSetIterator
 
inputColumns() - Method in class org.deeplearning4j.datasets.iterator.impl.ListDataSetIterator
 
inputColumns() - Method in class org.deeplearning4j.datasets.iterator.impl.SingletonDataSetIterator
 
inputColumns() - Method in class org.deeplearning4j.datasets.iterator.IteratorDataSetIterator
 
inputColumns() - Method in class org.deeplearning4j.datasets.iterator.loader.DataSetLoaderIterator
 
inputColumns() - Method in class org.deeplearning4j.datasets.iterator.MultiDataSetWrapperIterator
 
inputColumns() - Method in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
Input columns for the dataset
inputColumns() - Method in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
inputColumns() - Method in class org.deeplearning4j.datasets.iterator.ReconstructionDataSetIterator
Input columns for the dataset
inputColumns() - Method in class org.deeplearning4j.datasets.iterator.SamplingDataSetIterator
 
inputColumns() - Method in class org.deeplearning4j.datasets.iterator.WorkspacesShieldDataSetIterator
 
inputColumns() - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
 
inputColumns() - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
 
inputColumns() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataFetcher
 
inputColumns() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
 
inputColumns - Variable in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
 
inputColumns() - Method in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
 
inputColumns() - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualDataSetIterator
 
inputColumns() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator
 
inputColumns() - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator
 
inputColumns() - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator
Input columns for the dataset
inputColumns - Variable in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher
 
inputColumns() - Method in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher
 
inputColumns() - Method in interface org.nd4j.linalg.dataset.api.iterator.fetcher.DataSetFetcher
The length of a feature vector for an individual example
inputColumns() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator
 
inputColumns() - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator
Deprecated.
Input columns for the dataset
inputColumns() - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator
 
inputColumns() - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator
 
inputColumns() - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator
 
inputColumns() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
 
inputColumns() - Method in class org.nd4j.linalg.dataset.ViewIterator
 
inputDepth - Variable in class org.deeplearning4j.nn.conf.preprocessor.Cnn3DToFeedForwardPreProcessor
 
InputFormat - Interface in org.datavec.api.formats.input
Create an input format
inputFromExchange(Exchange) - Method in class org.datavec.camel.component.DataVecConsumer
 
inputFromExchange(Exchange) - Method in class org.datavec.camel.component.DataVecProducer
 
inputHeight - Variable in class org.deeplearning4j.nn.conf.preprocessor.Cnn3DToFeedForwardPreProcessor
 
inputHeight - Variable in class org.deeplearning4j.nn.conf.preprocessor.CnnToFeedForwardPreProcessor
 
InputHomogenization - Class in org.deeplearning4j.text.inputsanitation
Performs some very basic textual transformations such as word shape, lower casing, and stripping of punctuation
InputHomogenization(String) - Constructor for class org.deeplearning4j.text.inputsanitation.InputHomogenization
Input text to applyTransformToOrigin
InputHomogenization(String, boolean) - Constructor for class org.deeplearning4j.text.inputsanitation.InputHomogenization
 
InputHomogenization(String, List<String>) - Constructor for class org.deeplearning4j.text.inputsanitation.InputHomogenization
 
inputLayerNames - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasModel
 
inputLength(int) - Method in class org.deeplearning4j.nn.conf.layers.EmbeddingSequenceLayer.Builder
Set input sequence length for this embedding layer.
inputLength() - Method in class org.nd4j.graph.FlatNode
 
inputMaskArray - Variable in class org.deeplearning4j.nn.layers.BaseOutputLayer
 
inputMaskArrayState - Variable in class org.deeplearning4j.nn.layers.BaseOutputLayer
 
inputModificationAllowed - Variable in class org.deeplearning4j.nn.layers.AbstractLayer
 
inputPaired(int) - Method in class org.nd4j.graph.FlatNode
 
inputPaired(IntPair, int) - Method in class org.nd4j.graph.FlatNode
 
inputPairedLength() - Method in class org.nd4j.graph.FlatNode
 
inputPreProcessor(String, InputPreProcessor) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
Specify the processors for a given layer These are used at each layer for doing things like normalization and shaping of input.
Note: preprocessors can also be defined using the ComputationGraphConfiguration.GraphBuilder.addLayer(String, Layer, InputPreProcessor, String...) method.
InputPreProcessor - Interface in org.deeplearning4j.nn.conf
Input pre processor used for pre processing input before passing it to the neural network.
inputPreProcessor(Integer, InputPreProcessor) - Method in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
Specify the processors.
inputPreProcessors - Variable in class org.deeplearning4j.arbiter.MultiLayerSpace.Builder
 
inputPreProcessors - Variable in class org.deeplearning4j.arbiter.MultiLayerSpace
 
inputPreProcessors - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
 
inputPreProcessors - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
 
inputPreProcessors(Map<Integer, InputPreProcessor>) - Method in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
 
inputPreProcessors - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration
 
inputs - Variable in class org.deeplearning4j.arbiter.BaseNetworkSpace.LayerConf
 
inputs - Variable in class org.deeplearning4j.arbiter.ComputationGraphSpace.VertexConf
 
inputs - Variable in class org.deeplearning4j.nn.conf.layers.samediff.SameDiffLambdaVertex
 
inputs - Variable in class org.deeplearning4j.nn.conf.layers.samediff.SDVertexParams
 
inputs - Variable in class org.deeplearning4j.nn.graph.vertex.BaseGraphVertex
 
inputs() - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleContextPrototype
 
inputs() - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatContextPrototype
 
inputs() - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfContextPrototype
 
inputs() - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleContextPrototype
 
inputs() - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatContextPrototype
 
inputs() - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfContextPrototype
 
inputSchema - Variable in class org.datavec.api.transform.sequence.expansion.BaseSequenceExpansionTransform
 
inputSchema - Variable in class org.datavec.api.transform.transform.BaseTransform
 
inputShape(long...) - Method in class org.deeplearning4j.nn.conf.layers.PReLULayer.Builder
Explicitly set input shape of incoming activations so that parameters can be initialized properly.
inputShape - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
 
inputShape - Variable in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
 
inputShape(int[]) - Method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
Provide input shape for Keras models that have been compiled without one.
inputSplit - Variable in class org.datavec.api.records.reader.impl.FileRecordReader
 
inputSplit - Variable in class org.datavec.api.records.reader.impl.LineRecordReader
 
InputSplit - Interface in org.datavec.api.split
An input split.
inputSplit - Variable in class org.datavec.audio.recordreader.BaseAudioRecordReader
 
inputSplit - Variable in class org.datavec.image.recordreader.BaseImageRecordReader
 
inputSplit - Variable in class org.datavec.image.recordreader.VideoRecordReader
 
inputStream - Variable in class org.datavec.image.loader.CifarLoader
 
InputStreamCreator - Interface in org.deeplearning4j.models.word2vec
Created by agibsonccc on 10/19/14.
InputStreamInputSplit - Class in org.datavec.api.split
Input stream input split.
InputStreamInputSplit(InputStream, String) - Constructor for class org.datavec.api.split.InputStreamInputSplit
Instantiate with the given file as a uri
InputStreamInputSplit(InputStream, File) - Constructor for class org.datavec.api.split.InputStreamInputSplit
Instantiate with the given file as a uri
InputStreamInputSplit(InputStream, URI) - Constructor for class org.datavec.api.split.InputStreamInputSplit
Instantiate with the given file as a uri
InputStreamInputSplit(InputStream) - Constructor for class org.datavec.api.split.InputStreamInputSplit
 
InputStreamSource - Interface in org.nd4j.linalg.io
 
InputStreamUtil - Class in org.nd4j.linalg.util
Input stream jcuda.utils
InputStreamUtil() - Constructor for class org.nd4j.linalg.util.InputStreamUtil
 
inputType - Variable in class org.deeplearning4j.arbiter.MultiLayerSpace.Builder
 
inputType - Variable in class org.deeplearning4j.arbiter.MultiLayerSpace
 
InputType - Class in org.deeplearning4j.nn.conf.inputs
The InputType class is used to track and define the types of activations etc used in a ComputationGraph.
InputType() - Constructor for class org.deeplearning4j.nn.conf.inputs.InputType
 
inputType - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
 
inputType() - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.ListBuilder
A convenience method for setting input types: note that for example .inputType().convolutional(h,w,d) is equivalent to .setInputType(InputType.convolutional(h,w,d))
InputType - Class in org.nd4j.graph
 
inputType() - Method in class org.nd4j.nativeblas.Nd4jCpu.OpDescriptor
 
inputType() - Method in class org.nd4j.nativeblas.Nd4jCuda.OpDescriptor
 
InputType.InputTypeConvolutional - Class in org.deeplearning4j.nn.conf.inputs
 
InputType.InputTypeConvolutional3D - Class in org.deeplearning4j.nn.conf.inputs
 
InputType.InputTypeConvolutionalFlat - Class in org.deeplearning4j.nn.conf.inputs
 
InputType.InputTypeFeedForward - Class in org.deeplearning4j.nn.conf.inputs
 
InputType.InputTypeRecurrent - Class in org.deeplearning4j.nn.conf.inputs
 
InputType.Type - Enum in org.deeplearning4j.nn.conf.inputs
The type of activations in/out of a given GraphVertex
FF: Standard feed-foward (2d minibatch, 1d per example) data
RNN: Recurrent neural network (3d minibatch) time series data
CNN: 2D Convolutional neural network (4d minibatch, [miniBatchSize, channels, height, width]) CNNFlat: Flattened 2D conv net data (2d minibatch, [miniBatchSize, height * width * channels]) CNN3D: 3D convolutional neural network (5d minibatch, [miniBatchSize, channels, height, width, channels])
InputType_BOOLEAN - Static variable in class org.nd4j.nativeblas.Nd4jCpu
enum nd4j::ops::InputType
InputType_BOOLEAN - Static variable in class org.nd4j.nativeblas.Nd4jCuda
enum nd4j::ops::InputType
InputType_NUMERIC - Static variable in class org.nd4j.nativeblas.Nd4jCpu
enum nd4j::ops::InputType
InputType_NUMERIC - Static variable in class org.nd4j.nativeblas.Nd4jCuda
enum nd4j::ops::InputType
InputType_NUMERIC_SET - Static variable in class org.nd4j.nativeblas.Nd4jCpu
enum nd4j::ops::InputType
InputType_NUMERIC_SET - Static variable in class org.nd4j.nativeblas.Nd4jCuda
enum nd4j::ops::InputType
InputType_STRINGULAR - Static variable in class org.nd4j.nativeblas.Nd4jCpu
enum nd4j::ops::InputType
InputType_STRINGULAR - Static variable in class org.nd4j.nativeblas.Nd4jCuda
enum nd4j::ops::InputType
InputType_STRINGULAR_SET - Static variable in class org.nd4j.nativeblas.Nd4jCpu
enum nd4j::ops::InputType
InputType_STRINGULAR_SET - Static variable in class org.nd4j.nativeblas.Nd4jCuda
enum nd4j::ops::InputType
InputTypeBuilder() - Constructor for class org.deeplearning4j.nn.conf.NeuralNetConfiguration.ListBuilder.InputTypeBuilder
 
InputTypeConvolutional() - Constructor for class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeConvolutional
 
InputTypeConvolutional3D() - Constructor for class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeConvolutional3D
 
InputTypeConvolutionalFlat() - Constructor for class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeConvolutionalFlat
 
InputTypeFeedForward() - Constructor for class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeFeedForward
 
InputTypeRecurrent(long) - Constructor for class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeRecurrent
 
inputTypes - Variable in class org.deeplearning4j.arbiter.ComputationGraphSpace.Builder
 
inputTypes - Variable in class org.deeplearning4j.arbiter.ComputationGraphSpace
 
InputTypeUtil - Class in org.deeplearning4j.nn.conf.layers
Utilities for calculating input types
InputTypeUtil() - Constructor for class org.deeplearning4j.nn.conf.layers.InputTypeUtil
 
inputVars - Variable in class org.deeplearning4j.nn.layers.samediff.SameDiffGraphVertex
 
inputVars - Variable in class org.nd4j.linalg.api.ops.impl.controlflow.If
 
inputVars - Variable in class org.nd4j.linalg.api.ops.impl.controlflow.While
 
InputVertex - Class in org.deeplearning4j.nn.graph.vertex.impl
An InputVertex simply defines the location (and connection structure) of inputs to the ComputationGraph.
InputVertex(ComputationGraph, String, int, VertexIndices[]) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.InputVertex
 
inputVertices - Variable in class org.deeplearning4j.nn.graph.vertex.BaseGraphVertex
A representation of the vertices that are inputs to this vertex (inputs during forward pass) Specifically, if inputVertices[X].getVertexIndex() = Y, and inputVertices[X].getVertexEdgeNumber() = Z then the Zth output of vertex Y is the Xth input to this vertex
inputWeightConstraints - Variable in class org.deeplearning4j.nn.conf.layers.BaseRecurrentLayer.Builder
 
inputWidth - Variable in class org.deeplearning4j.nn.conf.preprocessor.Cnn3DToFeedForwardPreProcessor
 
inputWidth - Variable in class org.deeplearning4j.nn.conf.preprocessor.CnnToFeedForwardPreProcessor
 
insert(String, String...) - Static method in class org.ansj.library.AmbiguityLibrary
插入到树中呀
insert(String, Value) - Static method in class org.ansj.library.AmbiguityLibrary
插入到树种
insert(String, String, String, int) - Static method in class org.ansj.library.DicLibrary
关键词增加
insert(String, String) - Static method in class org.ansj.library.DicLibrary
增加关键词
insert(String, String[]) - Static method in class org.ansj.library.SynonymsLibrary
覆盖更新同义词 [中国, 中华, 我国] -> replace([中国,华夏]) -> [中国,华夏]
insert(INDArray) - Method in class org.deeplearning4j.clustering.kdtree.KDTree
Insert a point in to the tree
insert(int) - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
Insert an index of the data in to the tree
insertAfter(String) - Method in class org.datavec.api.transform.transform.time.DeriveColumnsFromTimeTransform.Builder
Where should the new columns be inserted? By default, they will be inserted after the source column
InsertedDictionary - Class in com.atilika.kuromoji.dict
 
InsertedDictionary(int) - Constructor for class com.atilika.kuromoji.dict.InsertedDictionary
 
insertedDictionary - Variable in class com.atilika.kuromoji.TokenizerBase.Builder
 
insertStatement() - Method in class org.nd4j.jdbc.hsql.HsqlLoader
Create an insert statement
insertStatement() - Method in interface org.nd4j.jdbc.loader.api.JDBCNDArrayIO
Create an insert statement
insertStatement() - Method in class org.nd4j.jdbc.mysql.MysqlLoader
Create an insert statement
insertStopNatures(String, String...) - Static method in class org.ansj.library.StopLibrary
词性过滤
insertStopNatures(String...) - Method in class org.ansj.recognition.impl.StopRecognition
批量增加停用词性 比如 增加nr 后.人名将不在结果中
insertStopRegexes(String, String...) - Static method in class org.ansj.library.StopLibrary
正则过滤
insertStopRegexes(String...) - Method in class org.ansj.recognition.impl.StopRecognition
增加正则表达式过滤
insertStopWords(String, String...) - Static method in class org.ansj.library.StopLibrary
增加停用词
insertStopWords(String, List<String>) - Static method in class org.ansj.library.StopLibrary
增加停用词
insertStopWords(Collection<String>) - Method in class org.ansj.recognition.impl.StopRecognition
批量增加停用词
insertStopWords(String...) - Method in class org.ansj.recognition.impl.StopRecognition
批量增加停用词
insertTerm(Term[], Term, TermUtil.InsertTermType) - Static method in class org.ansj.util.TermUtil
将一个term插入到链表中的对应位置中, 如果这个term已经存在参照type type 0.跳过 1.
insertTerm(Term[], List<Term>, TermNatures) - Static method in class org.ansj.util.TermUtil
 
insertTermNum(Term[], Term) - Static method in class org.ansj.util.TermUtil
 
INSTANCE - Static variable in class org.datavec.api.writable.NullWritable
 
instance - Static variable in class org.datavec.audio.properties.FingerprintProperties
 
INSTANCE - Static variable in class org.nd4j.linalg.factory.Nd4j
 
INSTANCE_COUNTER - Static variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
instanceBidPrice(Optional<Float>) - Method in class org.deeplearning4j.aws.emr.SparkEMRClient.Builder
The optional bid value for this cluster's spot instances see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/how-spot-instances-work.html Uses the on-demand market if empty.
instanceCount(int) - Method in class org.deeplearning4j.aws.emr.SparkEMRClient.Builder
The number of instances this deployment should comprise of
instanceId - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
instanceRole(String) - Method in class org.deeplearning4j.aws.emr.SparkEMRClient.Builder
The EC2 instance role that this cluster's instances should assume see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/iam-roles-for-amazon-ec2.html
instanceType(String) - Method in class org.deeplearning4j.aws.emr.SparkEMRClient.Builder
The type of instance this cluster should comprise of See https://aws.amazon.com/ec2/instance-types/
InstantiableModel - Interface in org.deeplearning4j.zoo
Interface for defining a model that can be instantiated and return information about itself.
instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.ElementWiseVertex
 
instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.FrozenVertex
 
instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.GraphVertex
Create a GraphVertex instance, for the given computation graph, given the configuration instance.
instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.L2NormalizeVertex
 
instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.L2Vertex
 
instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.LayerVertex
 
instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.MergeVertex
 
instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.PoolHelperVertex
 
instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.PreprocessorVertex
 
instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.ReshapeVertex
 
instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.rnn.DuplicateToTimeSeriesVertex
 
instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.rnn.LastTimeStepVertex
 
instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.rnn.ReverseTimeSeriesVertex
 
instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.ScaleVertex
 
instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.ShiftVertex
 
instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.StackVertex
 
instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.SubsetVertex
 
instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.UnstackVertex
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.ActivationLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.AutoEncoder
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.BatchNormalization
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.CnnLossLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.Convolution1DLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.Convolution3D
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.convolutional.Cropping1D
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.convolutional.Cropping2D
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.convolutional.Cropping3D
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.Deconvolution2D
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.DenseLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.DepthwiseConvolution2D
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.DropoutLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.EmbeddingLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.EmbeddingSequenceLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.GlobalPoolingLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.GravesBidirectionalLSTM
Deprecated.
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.GravesLSTM
Deprecated.
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.Layer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.LocalResponseNormalization
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.LossLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.LSTM
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.misc.ElementWiseMultiplicationLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.misc.FrozenLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.misc.FrozenLayerWithBackprop
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.misc.RepeatVector
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.objdetect.Yolo2OutputLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.OutputLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.PReLULayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.recurrent.Bidirectional
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.recurrent.LastTimeStep
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.recurrent.SimpleRnn
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.RnnLossLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.RnnOutputLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.samediff.SameDiffLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.samediff.SameDiffOutputLayer
 
instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.samediff.SameDiffVertex
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.SeparableConvolution2D
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.SpaceToBatchLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.SpaceToDepthLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.Subsampling1DLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.Upsampling1D
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.Upsampling2D
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.Upsampling3D
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.util.MaskLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.util.MaskZeroLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.variational.VariationalAutoencoder
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.ZeroPadding1DLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.ZeroPadding3DLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.ZeroPaddingLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.ocnn.OCNNOutputLayer
 
instantiate(INDArray, boolean) - Method in class org.nd4j.linalg.learning.config.AdaDelta
 
instantiate(INDArray, boolean) - Method in class org.nd4j.linalg.learning.config.AdaGrad
 
instantiate(INDArray, boolean) - Method in class org.nd4j.linalg.learning.config.Adam
 
instantiate(INDArray, boolean) - Method in class org.nd4j.linalg.learning.config.AdaMax
 
instantiate(INDArray, boolean) - Method in class org.nd4j.linalg.learning.config.AMSGrad
 
instantiate(INDArray, boolean) - Method in interface org.nd4j.linalg.learning.config.IUpdater
Create a new gradient updater
instantiate(INDArray, boolean) - Method in class org.nd4j.linalg.learning.config.Nadam
 
instantiate(INDArray, boolean) - Method in class org.nd4j.linalg.learning.config.Nesterovs
 
instantiate(INDArray, boolean) - Method in class org.nd4j.linalg.learning.config.NoOp
 
instantiate(INDArray, boolean) - Method in class org.nd4j.linalg.learning.config.RmsProp
 
instantiate(INDArray, boolean) - Method in class org.nd4j.linalg.learning.config.Sgd
 
instantiateTokenizerFactory() - Method in class org.deeplearning4j.spark.models.sequencevectors.functions.BaseTokenizerFunction
 
Instrumentation - Interface in org.nd4j.linalg.api.instrumentation
Instrumentation for logging statistics about the ndarrays being allocated and destroyed.
INSTRUMENTATION - Static variable in class org.nd4j.linalg.factory.Nd4j
 
instrumentation - Static variable in class org.nd4j.linalg.factory.Nd4j
 
INSTRUMENTATION_CLASS - Static variable in class org.nd4j.linalg.factory.Nd4j
 
InstrumentationApplication - Class in org.nd4j.instrumentation.server
The instrumentation application
InstrumentationApplication(String) - Constructor for class org.nd4j.instrumentation.server.InstrumentationApplication
 
InstrumentationApplication() - Constructor for class org.nd4j.instrumentation.server.InstrumentationApplication
 
instrumentationClazz - Static variable in class org.nd4j.linalg.factory.Nd4j
 
InstrumentationResource - Class in org.nd4j.instrumentation.server
Instrumentation resource
InstrumentationResource() - Constructor for class org.nd4j.instrumentation.server.InstrumentationResource
 
Int16 - Class in org.nd4j.compression.impl
Compressor implementation based on int16/aka short as storage for integral values.
Int16() - Constructor for class org.nd4j.compression.impl.Int16
 
INT16 - Static variable in class org.nd4j.graph.DataType
 
INT16_VALUE - Static variable in enum onnx.OnnxMlProto3.TensorProto.DataType
int16_t
INT16_VALUE - Static variable in enum onnx.OnnxProto3.TensorProto.DataType
int16_t
INT32 - Static variable in class org.nd4j.graph.DataType
 
INT32_DATA_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.TensorProto
 
INT32_DATA_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.TensorProto
 
INT32_VALUE - Static variable in enum onnx.OnnxMlProto3.TensorProto.DataType
int32_t
INT32_VALUE - Static variable in enum onnx.OnnxProto3.TensorProto.DataType
int32_t
INT64 - Static variable in class org.nd4j.graph.DataType
 
INT64_DATA_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.TensorProto
 
INT64_DATA_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.TensorProto
 
INT64_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorProto
 
INT64_VALUE - Static variable in enum onnx.OnnxMlProto3.TensorProto.DataType
int64_t
INT64_VALUE - Static variable in enum onnx.OnnxProto3.TensorProto.DataType
int64_t
Int8 - Class in org.nd4j.compression.impl
Compressor implementation based on int8/aka char/aka byte as storage for integral values.
Int8() - Constructor for class org.nd4j.compression.impl.Int8
 
INT8 - Static variable in class org.nd4j.graph.DataType
 
INT8_VALUE - Static variable in enum onnx.OnnxMlProto3.TensorProto.DataType
int8_t
INT8_VALUE - Static variable in enum onnx.OnnxProto3.TensorProto.DataType
int8_t
INT_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorProto
 
INT_VALUE - Static variable in enum onnx.OnnxMlProto3.AttributeProto.AttributeType
INT = 2;
INT_VALUE - Static variable in enum onnx.OnnxProto3.AttributeProto.AttributeType
INT = 2;
IntArray(int[]) - Constructor for class org.nd4j.linalg.collection.IntArrayKeyMap.IntArray
 
intArrayArguments - Variable in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate
 
IntArrayIntIndexAdpater - Class in org.nd4j.imports.descriptors.properties.adapters
 
IntArrayIntIndexAdpater() - Constructor for class org.nd4j.imports.descriptors.properties.adapters.IntArrayIntIndexAdpater
 
IntArrayKeyMap<V> - Class in org.nd4j.linalg.collection
A map for int arrays backed by a TreeMap
IntArrayKeyMap() - Constructor for class org.nd4j.linalg.collection.IntArrayKeyMap
 
IntArrayKeyMap.IntArray - Class in org.nd4j.linalg.collection
 
IntArrayKeySet - Class in org.nd4j.linalg.collection
Provides a wrapper for a TreeSet that uses IntArrayKeyMap.IntArray for proper comparison of int arrays as keys.
IntArrayKeySet() - Constructor for class org.nd4j.linalg.collection.IntArrayKeySet
 
IntBuffer - Class in org.nd4j.linalg.api.buffer
Int buffer
IntBuffer(Pointer, Indexer, long) - Constructor for class org.nd4j.linalg.api.buffer.IntBuffer
Meant for creating another view of a buffer
IntBuffer(long) - Constructor for class org.nd4j.linalg.api.buffer.IntBuffer
 
IntBuffer(long, boolean) - Constructor for class org.nd4j.linalg.api.buffer.IntBuffer
 
IntBuffer(long, boolean, MemoryWorkspace) - Constructor for class org.nd4j.linalg.api.buffer.IntBuffer
 
IntBuffer(int[], boolean, MemoryWorkspace) - Constructor for class org.nd4j.linalg.api.buffer.IntBuffer
 
IntBuffer(ByteBuffer, int, long) - Constructor for class org.nd4j.linalg.api.buffer.IntBuffer
 
IntBuffer(byte[], int) - Constructor for class org.nd4j.linalg.api.buffer.IntBuffer
 
IntBuffer(double[], boolean) - Constructor for class org.nd4j.linalg.api.buffer.IntBuffer
 
IntBuffer(double[], boolean, long) - Constructor for class org.nd4j.linalg.api.buffer.IntBuffer
 
IntBuffer(float[], boolean) - Constructor for class org.nd4j.linalg.api.buffer.IntBuffer
 
IntBuffer(float[], boolean, long) - Constructor for class org.nd4j.linalg.api.buffer.IntBuffer
 
IntBuffer(int[], boolean, long) - Constructor for class org.nd4j.linalg.api.buffer.IntBuffer
 
IntBuffer(int, int) - Constructor for class org.nd4j.linalg.api.buffer.IntBuffer
 
IntBuffer(int, int, long) - Constructor for class org.nd4j.linalg.api.buffer.IntBuffer
 
IntBuffer(DataBuffer, long, long) - Constructor for class org.nd4j.linalg.api.buffer.IntBuffer
 
IntBuffer(ByteBuffer, int) - Constructor for class org.nd4j.linalg.api.buffer.IntBuffer
 
IntBuffer(int[]) - Constructor for class org.nd4j.linalg.api.buffer.IntBuffer
 
IntBuffer(double[]) - Constructor for class org.nd4j.linalg.api.buffer.IntBuffer
 
IntBuffer(float[]) - Constructor for class org.nd4j.linalg.api.buffer.IntBuffer
 
IntBuffer(int[], boolean) - Constructor for class org.nd4j.linalg.api.buffer.IntBuffer
 
intBufferClass() - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory
 
intBufferClass() - Method in class org.nd4j.linalg.api.buffer.factory.DefaultDataBufferFactory
 
intBufferClass() - Method in class org.nd4j.linalg.jcublas.buffer.factory.CudaDataBufferFactory
 
IntDoubleReduceFunction - Class in org.deeplearning4j.spark.impl.common.reduce
Add both elements of a Tuple2<Integer,Double>
IntDoubleReduceFunction() - Constructor for class org.deeplearning4j.spark.impl.common.reduce.IntDoubleReduceFunction
 
IntegerAnalysis - Class in org.datavec.api.transform.analysis.columns
Analysis for Integer columns
IntegerAnalysis.Builder - Class in org.datavec.api.transform.analysis.columns
 
IntegerAnalysisCounter - Class in org.datavec.api.transform.analysis.counter
A counter function for doing analysis on integer columns, on Spark
IntegerAnalysisCounter() - Constructor for class org.datavec.api.transform.analysis.counter.IntegerAnalysisCounter
 
IntegerArrayIO - Class in com.atilika.kuromoji.io
 
IntegerArrayIO() - Constructor for class com.atilika.kuromoji.io.IntegerArrayIO
 
IntegerColumnCondition - Class in org.datavec.api.transform.condition.column
Condition that applies to the values in an Integer column, using a ConditionOp
IntegerColumnCondition(String, ConditionOp, int) - Constructor for class org.datavec.api.transform.condition.column.IntegerColumnCondition
Constructor for operations such as less than, equal to, greater than, etc.
IntegerColumnCondition(String, SequenceConditionMode, ConditionOp, int) - Constructor for class org.datavec.api.transform.condition.column.IntegerColumnCondition
Constructor for operations such as less than, equal to, greater than, etc.
IntegerColumnCondition(String, ConditionOp, Set<Integer>) - Constructor for class org.datavec.api.transform.condition.column.IntegerColumnCondition
Constructor for operations: ConditionOp.InSet, ConditionOp.NotInSet Uses default sequence condition mode, ColumnCondition.DEFAULT_SEQUENCE_CONDITION_MODE
IntegerColumnCondition(String, SequenceConditionMode, ConditionOp, Set<Integer>) - Constructor for class org.datavec.api.transform.condition.column.IntegerColumnCondition
Constructor for operations: ConditionOp.InSet, ConditionOp.NotInSet
integerColumnsMathOp(String, MathOp, String...) - Method in class org.datavec.api.transform.TransformProcess.Builder
Calculate and add a new integer column by performing a mathematical operation on a number of existing columns.
IntegerColumnsMathOpTransform - Class in org.datavec.api.transform.transform.integer
Add a new integer column, calculated from one or more other columns.
IntegerColumnsMathOpTransform(String, MathOp, String...) - Constructor for class org.datavec.api.transform.transform.integer.IntegerColumnsMathOpTransform
 
IntegerDistributionDeserializer - Class in org.deeplearning4j.arbiter.optimize.serde.jackson
Custom Jackson deserializer for integer distributions
IntegerDistributionDeserializer() - Constructor for class org.deeplearning4j.arbiter.optimize.serde.jackson.IntegerDistributionDeserializer
 
IntegerDistributionSerializer - Class in org.deeplearning4j.arbiter.optimize.serde.jackson
Custom Jackson serializer for integer distributions
IntegerDistributionSerializer() - Constructor for class org.deeplearning4j.arbiter.optimize.serde.jackson.IntegerDistributionSerializer
 
integerMathOp(String, MathOp, int) - Method in class org.datavec.api.transform.TransformProcess.Builder
Perform a mathematical operation (add, subtract, scalar max etc) on the specified integer column, with a scalar
IntegerMathOpTransform - Class in org.datavec.api.transform.transform.integer
Integer mathematical operation.
This is an in-place operation of the integer column value and an integer scalar.
IntegerMathOpTransform(String, MathOp, int) - Constructor for class org.datavec.api.transform.transform.integer.IntegerMathOpTransform
 
IntegerMetaData - Class in org.datavec.api.transform.metadata
Metadata for an integer column
IntegerMetaData(String) - Constructor for class org.datavec.api.transform.metadata.IntegerMetaData
 
IntegerMetaData(String, Integer, Integer) - Constructor for class org.datavec.api.transform.metadata.IntegerMetaData
 
IntegerParameterSpace - Class in org.deeplearning4j.arbiter.optimize.parameter.integer
IntegerParameterSpace is a ParameterSpace<Integer>; i.e., defines an ordered space of integers between some minimum and maximum value
IntegerParameterSpace(int, int) - Constructor for class org.deeplearning4j.arbiter.optimize.parameter.integer.IntegerParameterSpace
Create an IntegerParameterSpace with a uniform distribution between the specified min/max (inclusive)
IntegerParameterSpace(IntegerDistribution) - Constructor for class org.deeplearning4j.arbiter.optimize.parameter.integer.IntegerParameterSpace
Crate an IntegerParametSpace from the given IntegerDistribution
IntegerQuality - Class in org.datavec.api.transform.quality.columns
Quality of an Integer column
IntegerQuality(long, long, long, long, long) - Constructor for class org.datavec.api.transform.quality.columns.IntegerQuality
 
IntegerQualityAddFunction - Class in org.datavec.api.transform.analysis.quality.integer
Created by Alex on 5/03/2016.
IntegerQualityAddFunction() - Constructor for class org.datavec.api.transform.analysis.quality.integer.IntegerQualityAddFunction
 
IntegerQualityAnalysisState - Class in org.datavec.api.transform.analysis.quality.integer
Created by huitseeker on 3/6/17.
IntegerQualityAnalysisState(IntegerMetaData) - Constructor for class org.datavec.api.transform.analysis.quality.integer.IntegerQualityAnalysisState
 
IntegerQualityMergeFunction - Class in org.datavec.api.transform.analysis.quality.integer
Created by Alex on 5/03/2016.
IntegerQualityMergeFunction() - Constructor for class org.datavec.api.transform.analysis.quality.integer.IntegerQualityMergeFunction
 
IntegerRanges() - Constructor for class org.datavec.api.conf.Configuration.IntegerRanges
 
IntegerRanges(String) - Constructor for class org.datavec.api.conf.Configuration.IntegerRanges
 
integerToCategorical(String, List<String>) - Method in class org.datavec.api.transform.TransformProcess.Builder
Convert the specified column from an integer representation (assume values 0 to numCategories-1) to a categorical representation, given the specified state names
integerToCategorical(String, Map<Integer, String>) - Method in class org.datavec.api.transform.TransformProcess.Builder
Convert the specified column from an integer representation to a categorical representation, given the specified mapping between integer indexes and state names
IntegerToCategoricalTransform - Class in org.datavec.api.transform.transform.categorical
Convert an integer column to a categorical column, using a provided Map<Integer,String>
IntegerToCategoricalTransform(String, Map<Integer, String>) - Constructor for class org.datavec.api.transform.transform.categorical.IntegerToCategoricalTransform
 
IntegerToCategoricalTransform(String, List<String>) - Constructor for class org.datavec.api.transform.transform.categorical.IntegerToCategoricalTransform
 
integerToOneHot(String, int, int) - Method in class org.datavec.api.transform.TransformProcess.Builder
Convert an integer column to a set of 1 hot columns, based on the value in integer column
IntegerToOneHotTransform - Class in org.datavec.api.transform.transform.integer
Convert an integer column to a set of one-hot columns.
IntegerToOneHotTransform(String, int, int) - Constructor for class org.datavec.api.transform.transform.integer.IntegerToOneHotTransform
 
IntegerVertexFactory - Class in org.deeplearning4j.graph.vertexfactory
 
IntegerVertexFactory() - Constructor for class org.deeplearning4j.graph.vertexfactory.IntegerVertexFactory
 
IntensityProcessor - Interface in org.datavec.audio.processor
 
intercept(ScalarOp, int[]) - Method in class org.nd4j.linalg.jcublas.ops.executioner.CudaExecutioner
 
interceptIntDataType(Op) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
This method checks if any Op operand has data opType of INT, and throws exception if any.
InterleavedDataSetCallback - Class in org.deeplearning4j.datasets.iterator.callbacks
This callback migrates incoming datasets in round-robin manner, to ensure TDA for ParallelWrapper
InterleavedDataSetCallback(int) - Constructor for class org.deeplearning4j.datasets.iterator.callbacks.InterleavedDataSetCallback
 
InterleavedRouter - Class in org.nd4j.parameterserver.distributed.logic.routing
This is main router implementation for VoidParameterServer Basic idea: We route TrainingMessages conditionally, based on Huffman tree index (aka frequency-ordered position)
InterleavedRouter() - Constructor for class org.nd4j.parameterserver.distributed.logic.routing.InterleavedRouter
 
InterleavedRouter(int) - Constructor for class org.nd4j.parameterserver.distributed.logic.routing.InterleavedRouter
 
internalCreateBuffer(float[]) - Static method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
internalCreateBuffer(double[]) - Static method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
internalCreateBuffer(int[]) - Static method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
internalCreateBuffer(float[], long) - Static method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
internalCreateBuffer(double[], long) - Static method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
internalCreateBuffer(int[], long) - Static method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
internalEntries() - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleVariableSpace
 
internalEntries() - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatVariableSpace
 
internalEntries() - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfVariableSpace
 
internalEntries() - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleVariableSpace
 
internalEntries() - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatVariableSpace
 
internalEntries() - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfVariableSpace
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxMlProto3.AttributeProto
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxMlProto3.GraphProto
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxMlProto3.ModelProto
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxMlProto3.NodeProto
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxMlProto3.OperatorSetIdProto
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxMlProto3.StringStringEntryProto
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxMlProto3.TensorProto
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxMlProto3.TensorProto.Segment
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxMlProto3.TensorShapeProto
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxMlProto3.TypeProto.Builder
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxMlProto3.TypeProto
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxMlProto3.TypeProto.Map
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxMlProto3.TypeProto.Sequence
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxMlProto3.ValueInfoProto
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxOperatorsProto3.OperatorProto
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxProto3.AttributeProto.Builder
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxProto3.AttributeProto
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxProto3.GraphProto.Builder
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxProto3.GraphProto
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxProto3.ModelProto.Builder
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxProto3.ModelProto
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxProto3.NodeProto.Builder
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxProto3.NodeProto
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxProto3.OperatorSetIdProto
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxProto3.StringStringEntryProto
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxProto3.TensorProto.Builder
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxProto3.TensorProto
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxProto3.TensorProto.Segment.Builder
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxProto3.TensorProto.Segment
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxProto3.TensorShapeProto
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxProto3.TypeProto.Builder
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxProto3.TypeProto
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxProto3.TypeProto.Tensor
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
 
internalGetFieldAccessorTable() - Method in class onnx.OnnxProto3.ValueInfoProto
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.AllocationDescription.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.AllocationDescription
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.AllocationRecord.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.AllocationRecord
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.AllocatorMemoryUsed
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.ApiDef.Arg
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.ApiDef.Attr
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.ApiDef.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.ApiDef.Endpoint
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.ApiDef
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.ApiDefs.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.ApiDefs
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.AttrValue.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.AttrValue
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.AttrValue.ListValue
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.CostGraphDef.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.CostGraphDef
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.CostGraphDef.Node
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.DeviceAttributes
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.DeviceLocality.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.DeviceLocality
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.DeviceStepStats.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.DeviceStepStats
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.FunctionDef.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.FunctionDef
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.FunctionDefLibrary
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GradientDef.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GradientDef
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GraphDef.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GraphDef
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GraphTransferInfo
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInput.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInput
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.HistogramProto.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.HistogramProto
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.KernelDef.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.KernelDef
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.MemoryLogRawAllocation
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.MemoryLogStep.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.MemoryLogStep
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.MemoryLogTensorOutput
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.MemoryStats.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.MemoryStats
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.NameAttrList.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.NameAttrList
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.NodeDef.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.NodeDef
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.NodeExecStats.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.NodeExecStats
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.NodeOutput.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.NodeOutput
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.OpDef.ArgDef
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.OpDef.AttrDef
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.OpDef.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.OpDef
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.OpDeprecation.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.OpDeprecation
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.OpList.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.OpList
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.ReaderBaseState.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.ReaderBaseState
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.ResourceHandleProto
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.SaveSliceInfoDef
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.StepStats.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.StepStats
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.Summary.Audio.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.Summary.Audio
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.Summary.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.Summary.Image.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.Summary.Image
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.Summary
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.Summary.Value.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.Summary.Value
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.SummaryDescription.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.SummaryDescription
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.SummaryMetadata.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.SummaryMetadata
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.TensorDescription.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.TensorDescription
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.TensorProto.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.TensorProto
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.TensorShapeProto.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.TensorShapeProto.Dim
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.TensorShapeProto
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.TensorSliceProto.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.TensorSliceProto.Extent
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.TensorSliceProto
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.VariableDef.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.VariableDef
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.VariantTensorDataProto
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.VersionDef.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.framework.VersionDef
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
 
internalGetFieldAccessorTable() - Method in class org.tensorflow.util.IteratorStateMetadata
 
internalGetFieldAccessorTable() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault.Builder
 
internalGetFieldAccessorTable() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault
 
internalGetFieldAccessorTable() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
 
internalGetFieldAccessorTable() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
 
internalGetFieldAccessorTable() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename.Builder
 
internalGetFieldAccessorTable() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename
 
internalGetFieldAccessorTable() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
 
internalGetFieldAccessorTable() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides
 
internalGetMapField(int) - Method in class org.tensorflow.framework.FunctionDef.Builder
 
internalGetMapField(int) - Method in class org.tensorflow.framework.FunctionDef
 
internalGetMapField(int) - Method in class org.tensorflow.framework.NameAttrList.Builder
 
internalGetMapField(int) - Method in class org.tensorflow.framework.NameAttrList
 
internalGetMapField(int) - Method in class org.tensorflow.framework.NodeDef.Builder
 
internalGetMapField(int) - Method in class org.tensorflow.framework.NodeDef
 
internalGetMutableMapField(int) - Method in class org.tensorflow.framework.FunctionDef.Builder
 
internalGetMutableMapField(int) - Method in class org.tensorflow.framework.NameAttrList.Builder
 
internalGetMutableMapField(int) - Method in class org.tensorflow.framework.NodeDef.Builder
 
internalGetValueMap() - Static method in enum onnx.OnnxMlProto3.AttributeProto.AttributeType
 
internalGetValueMap() - Static method in enum onnx.OnnxMlProto3.TensorProto.DataType
 
internalGetValueMap() - Static method in enum onnx.OnnxMlProto3.Version
 
internalGetValueMap() - Static method in enum onnx.OnnxOperatorsProto3.OperatorProto.OperatorStatus
 
internalGetValueMap() - Static method in enum onnx.OnnxProto3.AttributeProto.AttributeType
 
internalGetValueMap() - Static method in enum onnx.OnnxProto3.TensorProto.DataType
 
internalGetValueMap() - Static method in enum onnx.OnnxProto3.Version
 
internalGetValueMap() - Static method in enum org.tensorflow.framework.ApiDef.Visibility
 
internalGetValueMap() - Static method in enum org.tensorflow.framework.DataType
 
internalGetValueMap() - Static method in enum org.tensorflow.framework.GraphTransferInfo.Destination
 
internalGetValueMap() - Static method in enum org.tensorflow.framework.RemoteFusedGraphExecuteInfo.NodeType
 
internalMemory() - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleVariableSpace
 
internalMemory() - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatVariableSpace
 
internalMemory() - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfVariableSpace
 
internalMemory() - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleVariableSpace
 
internalMemory() - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatVariableSpace
 
internalMemory() - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfVariableSpace
 
internalMessageHandler(DirectBuffer, int, int, Header) - Method in class org.nd4j.parameterserver.distributed.transport.BaseTransport
This message handler is responsible for receiving coordination messages on Shard side
internalPtr - Variable in class vizdoom.DoomGame
 
interpolate(int, int, short[]) - Method in class org.datavec.audio.dsp.LinearInterpolation
Do interpolation on the samples according to the original and destinated sample rates
intersection(Collection<T>, Collection<T>) - Static method in class org.deeplearning4j.clustering.util.SetUtils
 
intersection(Collection<T>, Collection<T>) - Static method in class org.nd4j.util.SetUtils
 
intersectionP(Set<? extends T>, Set<? extends T>) - Static method in class org.deeplearning4j.clustering.util.SetUtils
 
intersectionP(Set<? extends T>, Set<? extends T>) - Static method in class org.nd4j.util.SetUtils
 
Interval(double, double) - Constructor for class org.deeplearning4j.clustering.kdtree.HyperRect.Interval
 
interval(Long, Long) - Static method in class org.nd4j.autodiff.samediff.SDIndex
 
interval(Integer, Integer) - Static method in class org.nd4j.autodiff.samediff.SDIndex
 
interval(Long, Long, Long) - Static method in class org.nd4j.autodiff.samediff.SDIndex
 
interval(Integer, Integer, Integer) - Static method in class org.nd4j.autodiff.samediff.SDIndex
 
interval(long, long, long, long) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
Generates an interval from begin (inclusive) to end (exclusive)
interval(long, long, long) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
Generates an interval from begin (inclusive) to end (exclusive)
interval(int, int, int, boolean) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
Generates an interval from begin (inclusive) to end (exclusive)
interval(long, long, long, long, boolean) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
 
interval(long, long, long, boolean) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
 
interval(int, int) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
Generates an interval from begin (inclusive) to end (exclusive)
interval(long, long) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
 
interval(int, int, boolean) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
Generates an interval from begin (inclusive) to end (exclusive)
interval(long, long, long) - Static method in class org.nd4j.nativeblas.Nd4jCpu.NDIndex
 
interval(long, long) - Static method in class org.nd4j.nativeblas.Nd4jCpu.NDIndex
 
interval(long, long, long) - Static method in class org.nd4j.nativeblas.Nd4jCuda.NDIndex
 
interval(long, long) - Static method in class org.nd4j.nativeblas.Nd4jCuda.NDIndex
 
IntervalIndex - Class in org.nd4j.linalg.indexing
And indexing representing an interval
IntervalIndex(boolean, long) - Constructor for class org.nd4j.linalg.indexing.IntervalIndex
 
intervals - Variable in class org.nd4j.linalg.memory.BasicMemoryManager
 
Intervals(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.Intervals
Pointer cast constructor.
Intervals(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.Intervals
Native array allocator.
Intervals() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.Intervals
 
Intervals(Nd4jCpu.LongVectorVector) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.Intervals
 
Intervals(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCuda.Intervals
Pointer cast constructor.
Intervals(long) - Constructor for class org.nd4j.nativeblas.Nd4jCuda.Intervals
Native array allocator.
Intervals() - Constructor for class org.nd4j.nativeblas.Nd4jCuda.Intervals
 
Intervals(Nd4jCuda.LongVectorVector) - Constructor for class org.nd4j.nativeblas.Nd4jCuda.Intervals
 
intervalTail - Static variable in class org.nd4j.linalg.memory.BasicMemoryManager
 
intField(String) - Static method in class org.datavec.arrow.ArrowConverter
Shortcut method for creating a double field with 32 bit integer field
intializeConfigurations() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
IntIntPair(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.IntIntPair
Pointer cast constructor.
IntIntPair(int, int) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.IntIntPair
 
IntIntPair() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.IntIntPair
 
IntIntPair(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCuda.IntIntPair
Pointer cast constructor.
IntIntPair(int, int) - Constructor for class org.nd4j.nativeblas.Nd4jCuda.IntIntPair
 
IntIntPair() - Constructor for class org.nd4j.nativeblas.Nd4jCuda.IntIntPair
 
IntMatrixNDArrayList - Class in org.nd4j.list.matrix
A MatrixBaseNDArrayList for int data type
IntMatrixNDArrayList() - Constructor for class org.nd4j.list.matrix.IntMatrixNDArrayList
 
IntNDArrayList - Class in org.nd4j.list
An BaseNDArrayList for integers
IntNDArrayList() - Constructor for class org.nd4j.list.IntNDArrayList
 
IntNDArrayList(INDArray) - Constructor for class org.nd4j.list.IntNDArrayList
 
IntPair - Class in org.nd4j.graph
 
IntPair() - Constructor for class org.nd4j.graph.IntPair
 
IntroductionCompleteMessage - Class in org.nd4j.parameterserver.distributed.messages.complete
 
IntroductionCompleteMessage() - Constructor for class org.nd4j.parameterserver.distributed.messages.complete.IntroductionCompleteMessage
 
IntroductionCompleteMessage(long) - Constructor for class org.nd4j.parameterserver.distributed.messages.complete.IntroductionCompleteMessage
 
IntroductionRequestMessage - Class in org.nd4j.parameterserver.distributed.messages.requests
This message will be sent by each shard, during meeting
IntroductionRequestMessage() - Constructor for class org.nd4j.parameterserver.distributed.messages.requests.IntroductionRequestMessage
 
IntroductionRequestMessage(String, int) - Constructor for class org.nd4j.parameterserver.distributed.messages.requests.IntroductionRequestMessage
 
INTS_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.AttributeProto
 
INTS_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.AttributeProto
 
INTS_VALUE - Static variable in enum onnx.OnnxMlProto3.AttributeProto.AttributeType
INTS = 7;
INTS_VALUE - Static variable in enum onnx.OnnxProto3.AttributeProto.AttributeType
INTS = 7;
IntToDoubleFunction - Class in org.datavec.spark.transform.analysis.seqlength
Created by Alex on 12/03/2016.
IntToDoubleFunction() - Constructor for class org.datavec.spark.transform.analysis.seqlength.IntToDoubleFunction
 
IntTriple - Class in org.nd4j.graph
 
IntTriple() - Constructor for class org.nd4j.graph.IntTriple
 
intVectorOf(BufferAllocator, String, int) - Static method in class org.datavec.arrow.ArrowConverter
 
IntVectorVector(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.IntVectorVector
Pointer cast constructor.
IntVectorVector(int[]...) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.IntVectorVector
 
IntVectorVector() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.IntVectorVector
 
IntVectorVector(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.IntVectorVector
 
IntVectorVector(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCuda.IntVectorVector
Pointer cast constructor.
IntVectorVector(int[]...) - Constructor for class org.nd4j.nativeblas.Nd4jCuda.IntVectorVector
 
IntVectorVector() - Constructor for class org.nd4j.nativeblas.Nd4jCuda.IntVectorVector
 
IntVectorVector(long) - Constructor for class org.nd4j.nativeblas.Nd4jCuda.IntVectorVector
 
IntWritable - Class in org.datavec.api.writable
A WritableComparable for ints.
IntWritable() - Constructor for class org.datavec.api.writable.IntWritable
 
IntWritable(int) - Constructor for class org.datavec.api.writable.IntWritable
 
IntWritable.Comparator - Class in org.datavec.api.writable
A Comparator optimized for IntWritable.
IntWritableComparator - Class in org.datavec.api.writable.comparator
 
IntWritableComparator() - Constructor for class org.datavec.api.writable.comparator.IntWritableComparator
 
IntWritableOp<T> - Class in org.datavec.api.transform.ops
This class converts an IAggregableReduceOp operating on a Integer to one operating on Writable instances.
IntWritableOp() - Constructor for class org.datavec.api.transform.ops.IntWritableOp
 
InvalidInputTypeException - Exception in org.deeplearning4j.nn.conf.inputs
InvalidInputTypeException: Thrown if the GraphVertex cannot handle the type of input provided.
InvalidInputTypeException(String) - Constructor for exception org.deeplearning4j.nn.conf.inputs.InvalidInputTypeException
 
InvalidInputTypeException(String, Throwable) - Constructor for exception org.deeplearning4j.nn.conf.inputs.InvalidInputTypeException
 
InvalidInputTypeException(Throwable) - Constructor for exception org.deeplearning4j.nn.conf.inputs.InvalidInputTypeException
 
InvalidKerasConfigurationException - Exception in org.deeplearning4j.nn.modelimport.keras.exceptions
Indicates that user is attempting to import a Keras model configuration that is malformed or invalid in some other way.
InvalidKerasConfigurationException(String) - Constructor for exception org.deeplearning4j.nn.modelimport.keras.exceptions.InvalidKerasConfigurationException
 
InvalidKerasConfigurationException(String, Throwable) - Constructor for exception org.deeplearning4j.nn.modelimport.keras.exceptions.InvalidKerasConfigurationException
 
InvalidKerasConfigurationException(Throwable) - Constructor for exception org.deeplearning4j.nn.modelimport.keras.exceptions.InvalidKerasConfigurationException
 
InvalidNumColumns - Class in org.datavec.api.transform.filter
Remove invalid records of a certain size.
InvalidNumColumns() - Constructor for class org.datavec.api.transform.filter.InvalidNumColumns
 
InvalidScoreIterationTerminationCondition - Class in org.deeplearning4j.earlystopping.termination
Terminate training at this iteration if score is NaN or Infinite for the last minibatch
InvalidScoreIterationTerminationCondition() - Constructor for class org.deeplearning4j.earlystopping.termination.InvalidScoreIterationTerminationCondition
 
InvalidStepException - Exception in org.deeplearning4j.exception
Created by agibsonccc on 8/20/14.
InvalidStepException(String) - Constructor for exception org.deeplearning4j.exception.InvalidStepException
Constructs a new exception with the specified detail message.
InvalidStepException(String, Throwable) - Constructor for exception org.deeplearning4j.exception.InvalidStepException
Constructs a new exception with the specified detail message and cause.
InvalidStepException(Throwable) - Constructor for exception org.deeplearning4j.exception.InvalidStepException
Constructs a new exception with the specified cause and a detail message of (cause==null ? null : cause.toString()) (which typically contains the class and detail message of cause).
InvalidStepException(String, Throwable, boolean, boolean) - Constructor for exception org.deeplearning4j.exception.InvalidStepException
Constructs a new exception with the specified detail message, cause, suppression enabled or disabled, and writable stack trace enabled or disabled.
InvalidValueColumnCondition - Class in org.datavec.api.transform.condition.column
A Condition that applies to a single column.
InvalidValueColumnCondition(String) - Constructor for class org.datavec.api.transform.condition.column.InvalidValueColumnCondition
 
inverse - Variable in class org.deeplearning4j.clustering.strategy.BaseClusteringStrategy
 
inverseCumulativeProbability(double) - Method in class org.deeplearning4j.arbiter.optimize.distribution.DegenerateIntegerDistribution
 
inverseCumulativeProbability(double) - Method in class org.deeplearning4j.arbiter.optimize.distribution.LogUniformDistribution
 
inverseCumulativeProbability(double) - Method in class org.nd4j.linalg.api.rng.distribution.BaseDistribution
Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution
Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution
Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution
Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution
Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution
 
inverseDistanceCalculation() - Method in class org.deeplearning4j.clustering.strategy.BaseClusteringStrategy
 
inverseDistanceCalculation() - Method in interface org.deeplearning4j.clustering.strategy.ClusteringStrategy
 
inverseDistanceCalculation() - Method in class org.deeplearning4j.clustering.strategy.FixedClusterCountStrategy
 
InverseSchedule - Class in org.nd4j.linalg.schedule
Inverse schedule, with 3 parameters: initial value, gamma and power.
value(i) = initialValue * (1 + gamma * iter)^(-power) where i is the iteration or epoch (depending on the setting)
InverseSchedule(ScheduleType, double, double, double) - Constructor for class org.nd4j.linalg.schedule.InverseSchedule
 
InverseScheduleSpace - Class in org.deeplearning4j.arbiter.conf.updater.schedule
 
InverseScheduleSpace(ScheduleType, ParameterSpace<Double>, double, double) - Constructor for class org.deeplearning4j.arbiter.conf.updater.schedule.InverseScheduleSpace
 
InverseScheduleSpace(ScheduleType, ParameterSpace<Double>, ParameterSpace<Double>, ParameterSpace<Double>) - Constructor for class org.deeplearning4j.arbiter.conf.updater.schedule.InverseScheduleSpace
 
invert() - Method in class com.atilika.kuromoji.buffer.FeatureInfoMap
 
invert(INDArray, boolean) - Static method in class org.nd4j.linalg.inverse.InvertMatrix
Inverts a matrix
invertDistanceMetric(boolean) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
 
InvertedIndex<T extends SequenceElement> - Interface in org.deeplearning4j.text.invertedindex
An inverted index for mapping words to documents and documents to words
InvertedPredicateMetaOp - Class in org.nd4j.linalg.api.ops.impl.meta
This MetaOp covers case, when Op A and Op B are both using linear memory access You're NOT supposed to directly call this op.
InvertedPredicateMetaOp() - Constructor for class org.nd4j.linalg.api.ops.impl.meta.InvertedPredicateMetaOp
 
InvertedPredicateMetaOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.InvertedPredicateMetaOp
 
InvertedPredicateMetaOp(Op, Op) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.InvertedPredicateMetaOp
 
InvertedPredicateMetaOp(OpDescriptor, OpDescriptor) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.InvertedPredicateMetaOp
 
InvertedPredicateMetaOp(ScalarOp, TransformOp) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.InvertedPredicateMetaOp
 
InvertedPredicateMetaOp(TransformOp, TransformOp) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.InvertedPredicateMetaOp
 
InvertedPredicateMetaOp(TransformOp, ScalarOp) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.InvertedPredicateMetaOp
 
InvertedPredicateMetaOp(ScalarOp, ScalarOp) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.InvertedPredicateMetaOp
 
InvertMatrix - Class in org.nd4j.linalg.inverse
Created by agibsoncccc on 11/30/15.
InvertMatrix() - Constructor for class org.nd4j.linalg.inverse.InvertMatrix
 
invertPermutation(SDVariable, boolean) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
invertPermutation(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Compute the inverse permutation indices for a permutation operation
Example: if input is [2, 0, 1] then output is [1, 2, 0]
The idea is that x.permute(input).permute(invertPermutation(input)) == x
invertPermutation(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Compute the inverse permutation indices for a permutation operation
Example: if input is [2, 0, 1] then output is [1, 2, 0]
The idea is that x.permute(input).permute(invertPermutation(input)) == x
InvertPermutation - Class in org.nd4j.linalg.api.ops.impl.transforms
Inverse of index permutation.
InvertPermutation(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.InvertPermutation
 
invocationCount - Variable in class org.deeplearning4j.optimize.listeners.EvaluativeListener
 
InvocationType - Enum in org.deeplearning4j.optimize.api
This enum holds options for TrainingListener invocation scheme
invocationType - Variable in class org.deeplearning4j.optimize.listeners.EvaluativeListener
 
INVOKE - Static variable in class com.atilika.kuromoji.dict.CharacterDefinitions
 
invoke() - Method in class org.datavec.api.records.listener.impl.LogRecordListener
 
invoke() - Method in interface org.datavec.api.records.listener.RecordListener
Change invoke to true.
invoke(String, Object[]) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
invoke(Op, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Invoke an op by opName
invoke(Op, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Invoke an op by opName
invoke(Op) - Method in class org.nd4j.autodiff.samediff.SameDiffOpExecutioner
 
invoke(BroadcastOp) - Method in class org.nd4j.linalg.jcublas.ops.executioner.CudaExecutioner
 
invoke(IndexAccumulation, int[]) - Method in class org.nd4j.linalg.jcublas.ops.executioner.CudaExecutioner
 
invoke(Accumulation, int[]) - Method in class org.nd4j.linalg.jcublas.ops.executioner.CudaExecutioner
 
invoke(ScalarOp) - Method in class org.nd4j.linalg.jcublas.ops.executioner.CudaExecutioner
 
invoke(TransformOp) - Method in class org.nd4j.linalg.jcublas.ops.executioner.CudaExecutioner
 
invoke(BroadcastOp) - Method in class org.nd4j.linalg.jcublas.ops.executioner.CudaGridExecutioner
 
invoke(ScalarOp) - Method in class org.nd4j.linalg.jcublas.ops.executioner.CudaGridExecutioner
 
invoke(TransformOp) - Method in class org.nd4j.linalg.jcublas.ops.executioner.CudaGridExecutioner
 
invoke(Op) - Method in interface org.nd4j.linalg.profiler.OpProfiler.OpProfilerListener
 
invoked() - Method in class org.datavec.api.records.listener.impl.LogRecordListener
 
invoked() - Method in interface org.datavec.api.records.listener.RecordListener
Get if listener invoked.
invokeFunctionOn(String, SameDiff) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
invokeGc() - Method in class org.nd4j.linalg.memory.BasicMemoryManager
 
invokeGc() - Method in interface org.nd4j.linalg.memory.MemoryManager
This method calls for GC.
invokeGcOccasionally() - Method in class org.nd4j.linalg.memory.BasicMemoryManager
 
invokeGcOccasionally() - Method in interface org.nd4j.linalg.memory.MemoryManager
This method calls for GC, and if frequency is met - System.gc() will be called
invokeGraphOn(SameDiff) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
invokeJdbcMethod(Method, Object) - Static method in class org.nd4j.linalg.io.ReflectionUtils
 
invokeJdbcMethod(Method, Object, Object...) - Static method in class org.nd4j.linalg.io.ReflectionUtils
 
invokeListener(Model) - Method in class org.deeplearning4j.optimize.listeners.EvaluativeListener
 
invokeListeners(Object) - Method in class org.datavec.api.records.reader.BaseRecordReader
invokeMethod(Method, Object) - Static method in class org.nd4j.linalg.io.ReflectionUtils
 
invokeMethod(Method, Object, Object...) - Static method in class org.nd4j.linalg.io.ReflectionUtils
 
invokeVfsMethod(Method, Object, Object...) - Static method in class org.nd4j.linalg.io.VfsUtils
 
invokeWatchdog(Op) - Method in class org.nd4j.linalg.jcublas.ops.executioner.CudaGridExecutioner
 
IOptimizationRunner - Interface in org.deeplearning4j.arbiter.optimize.runner
 
IOTiming - Class in org.datavec.perf.timing
Timing components of a data vec pipeline consisting of: RecordReader, InputStreamInputSplit (note that this uses input stream input split, the record reader must support InputStreamInputSplit for this to work)
IOTiming() - Constructor for class org.datavec.perf.timing.IOTiming
 
IOTiming.INDArrayCreationFunction - Interface in org.datavec.perf.timing
 
iou(DetectedObject, DetectedObject) - Static method in class org.deeplearning4j.nn.layers.objdetect.YoloUtils
Returns intersection over union (IOU) between o1 and o2.
IOUtils - Class in org.datavec.api.records
Various utility functions for Hadooop record I/O runtime.
IOutputLayer - Interface in org.deeplearning4j.nn.api.layers
Interface for output layers (those that calculate gradients with respect to a labels array)
ip - Variable in class org.nd4j.parameterserver.distributed.transport.BaseTransport
 
ipAddresses - Variable in class org.nd4j.parameterserver.distributed.util.NetworkInformation
 
IPAddressToCoordinatesTransform - Class in org.datavec.api.transform.transform.geo
Uses GeoIP2 from from http://www.maxmind.com to convert IP addresses to (approximate) coordinates (latitude:longitude).
IPAddressToCoordinatesTransform(String) - Constructor for class org.datavec.api.transform.transform.geo.IPAddressToCoordinatesTransform
 
IPAddressToCoordinatesTransform(String, String) - Constructor for class org.datavec.api.transform.transform.geo.IPAddressToCoordinatesTransform
 
IPAddressToLocationTransform - Class in org.datavec.api.transform.transform.geo
Uses GeoIP2 from from http://www.maxmind.com to convert IP addresses to (approximate) locations.
IPAddressToLocationTransform(String) - Constructor for class org.datavec.api.transform.transform.geo.IPAddressToLocationTransform
 
IPAddressToLocationTransform(String, LocationType) - Constructor for class org.datavec.api.transform.transform.geo.IPAddressToLocationTransform
 
IPAddressToLocationTransform(String, LocationType, String) - Constructor for class org.datavec.api.transform.transform.geo.IPAddressToLocationTransform
 
IR_BUILD_METADATA_FIELD_NUMBER - Static variable in class onnx.OnnxOperatorsProto3.OperatorSetProto
 
IR_VERSION_2017_10_10_VALUE - Static variable in enum onnx.OnnxMlProto3.Version
The version field is always serialized and we will use it to store the version that the graph is generated from.
IR_VERSION_2017_10_10_VALUE - Static variable in enum onnx.OnnxProto3.Version
The version field is always serialized and we will use it to store the version that the graph is generated from.
IR_VERSION_2017_10_30_VALUE - Static variable in enum onnx.OnnxMlProto3.Version
IR_VERSION 0.0.2 published on Oct 30, 2017 - Added type discriminator to AttributeProto to support proto3 users
IR_VERSION_2017_10_30_VALUE - Static variable in enum onnx.OnnxProto3.Version
IR_VERSION 0.0.2 published on Oct 30, 2017 - Added type discriminator to AttributeProto to support proto3 users
IR_VERSION_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.ModelProto
 
IR_VERSION_FIELD_NUMBER - Static variable in class onnx.OnnxOperatorsProto3.OperatorSetProto
 
IR_VERSION_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.ModelProto
 
IR_VERSION_PRERELEASE_FIELD_NUMBER - Static variable in class onnx.OnnxOperatorsProto3.OperatorSetProto
 
IR_VERSION_VALUE - Static variable in enum onnx.OnnxMlProto3.Version
IR VERSION 0.0.3 published on Nov 3, 2017 - For operator versioning: - Added new message OperatorSetIdProto - Added opset_import in ModelProto - For vendor extensions, added domain in NodeProto
IR_VERSION_VALUE - Static variable in enum onnx.OnnxProto3.Version
IR VERSION 0.0.3 published on Nov 3, 2017 - For operator versioning: - Added new message OperatorSetIdProto - Added opset_import in ModelProto - For vendor extensions, added domain in NodeProto
IrisDataFetcher - Class in org.deeplearning4j.datasets.fetchers
 
IrisDataFetcher() - Constructor for class org.deeplearning4j.datasets.fetchers.IrisDataFetcher
 
IrisDataSetIterator - Class in org.deeplearning4j.datasets.iterator.impl
 
IrisDataSetIterator(int, int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.IrisDataSetIterator
IrisDataSetIterator handles traversing through the Iris Data Set.
IrisUtils - Class in org.deeplearning4j.base
 
IS_AGGREGATE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef
 
IS_COMMUTATIVE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef
 
IS_FINAL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef.Node
 
IS_REF_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef.ArgDef
 
IS_RESOURCE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.VariableDef
 
IS_STATEFUL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef
 
isActive() - Method in class org.ansj.domain.NewWord
 
isActive(String) - Method in class org.nd4j.autodiff.samediff.flow.FlowPath
This method checks, if specified graph node is active (as in - located within active code branch, and was NOT left in inactive branch)
isActualOnDeviceSide() - Method in class org.nd4j.jita.allocator.impl.AllocationPoint
This method returns, if device side has actual copy of data
isActualOnHostSide() - Method in class org.nd4j.jita.allocator.impl.AllocationPoint
This method returns, if host side has actual copy of data
isAlive(String) - Method in class org.nd4j.instrumentation.server.InstrumentationResource
 
isAlive() - Method in class org.nd4j.jita.allocator.time.impl.BinaryTimer
 
isAll() - Method in class org.nd4j.nativeblas.Nd4jCpu.NDIndex
 
isAll() - Method in class org.nd4j.nativeblas.Nd4jCuda.NDIndex
 
isAllowEmptyClusters() - Method in interface org.deeplearning4j.clustering.strategy.ClusteringStrategy
 
isAllWhiteSpace(CharSequence) - Method in class org.datavec.api.records.reader.impl.csv.SerializableCSVParser
precondition: sb.length() > 0
isAlpha(String) - Static method in class org.nd4j.util.StringUtils
Checks if the String contains only unicode letters.
isamax(long, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
 
isamax(long, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
 
isamax(long, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
 
isamax(long, INDArray, int) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.CpuLevel1
 
isamax(long, DataBuffer, int, int) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.CpuLevel1
 
isamax(long, INDArray, int) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.SparseCpuLevel1
Find the index of the element with maximum absolute value
isamax(long, INDArray, int) - Method in class org.nd4j.linalg.jcublas.blas.JcublasLevel1
 
isamax(long, DataBuffer, int, int) - Method in class org.nd4j.linalg.jcublas.blas.JcublasLevel1
 
isamax(long, INDArray, int) - Method in class org.nd4j.linalg.jcublas.blas.JcusparseLevel1
 
isamin(long, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
 
isamin(long, INDArray, int) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.SparseCpuLevel1
Find the index of the element with minimum absolute value
isamin(long, INDArray, int) - Method in class org.nd4j.linalg.jcublas.blas.JcusparseLevel1
 
isArray(Object) - Static method in class org.nd4j.linalg.io.ObjectUtils
 
isAsianName - Variable in class org.ansj.dic.LearnTool
是否开启学习机
isAssignable(Class<?>, Class<?>) - Static method in class org.nd4j.linalg.io.Assert
 
isAssignable(Class<?>, Class<?>, String) - Static method in class org.nd4j.linalg.io.Assert
 
isAssignable(Class<?>, Class<?>) - Static method in class org.nd4j.linalg.io.ClassUtils
 
isAssignableValue(Class<?>, Object) - Static method in class org.nd4j.linalg.io.ClassUtils
 
isAsync() - Method in class org.nd4j.parameterserver.updater.BaseParameterUpdater
Returns true if the given updater is async or synchronous updates
isAsync() - Method in interface org.nd4j.parameterserver.updater.ParameterServerUpdater
Returns true if the given updater is async or synchronous updates
isAsync() - Method in class org.nd4j.parameterserver.updater.SynchronousParameterUpdater
Returns true if the given updater is async or synchronous updates
isAttached(StatsStorage) - Method in class org.deeplearning4j.ui.api.UIServer
Check whether the specified StatsStorage instance is attached to the UI instance
isAttached(StatsStorage) - Method in class org.deeplearning4j.ui.play.PlayUIServer
 
isAttached() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
This method returns True, if this DataBuffer is attached to some workspace.
isAttached() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
This method returns True, if this DataBuffer is attached to some workspace.
isAttached() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
This method returns True, if this INDArray instance is attached to some Workspace.
isAttached() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
isAttached() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
This method returns True, if this INDArray instance is attached to some Workspace.
isAttached() - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
inline accessing operator for 4D array, i - height, j - width, k - depth
isAttached() - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
inline accessing operator for 4D array, i - height, j - width, k - depth
isAttached() - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
inline accessing operator for 4D array, i - height, j - width, k - depth
isAttached() - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
inline accessing operator for 4D array, i - height, j - width, k - depth
isAttached() - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
inline accessing operator for 4D array, i - height, j - width, k - depth
isAttached() - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
inline accessing operator for 4D array, i - height, j - width, k - depth
isAutoDiscoveryMode - Variable in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors
 
isAutomapBufferEnabled() - Method in class vizdoom.DoomGame
 
isAvailable() - Method in class org.nd4j.linalg.cpu.nativecpu.CpuBackend
 
isAvailable() - Method in class org.nd4j.linalg.factory.Nd4jBackend
Determines whether a given backend is available in the current environment.
isAvailable() - Method in class org.nd4j.linalg.jcublas.JCublasBackend
 
isBalanced(EmnistDataSetIterator.Set) - Static method in class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator
Are the labels balanced in the training set (that is: are the number of examples for each label equal?)
isBeginLabel() - Method in class org.datavec.nlp.movingwindow.Window
 
isBeginLabel() - Method in class org.deeplearning4j.text.movingwindow.Window
 
isBiasCorrected() - Method in class org.nd4j.linalg.api.ops.impl.accum.Variance
 
isBiasParam(Layer, String) - Method in interface org.deeplearning4j.nn.api.ParamInitializer
Is the specified parameter a bias?
isBiasParam(String) - Method in class org.deeplearning4j.nn.conf.layers.samediff.SDLayerParams
 
isBiasParam(Layer, String) - Method in class org.deeplearning4j.nn.layers.ocnn.OCNNParamInitializer
 
isBiasParam(Layer, String) - Method in class org.deeplearning4j.nn.params.BatchNormalizationParamInitializer
 
isBiasParam(Layer, String) - Method in class org.deeplearning4j.nn.params.BidirectionalParamInitializer
 
isBiasParam(Layer, String) - Method in class org.deeplearning4j.nn.params.ConvolutionParamInitializer
 
isBiasParam(Layer, String) - Method in class org.deeplearning4j.nn.params.DefaultParamInitializer
 
isBiasParam(Layer, String) - Method in class org.deeplearning4j.nn.params.DepthwiseConvolutionParamInitializer
 
isBiasParam(Layer, String) - Method in class org.deeplearning4j.nn.params.EmptyParamInitializer
 
isBiasParam(Layer, String) - Method in class org.deeplearning4j.nn.params.FrozenLayerParamInitializer
 
isBiasParam(Layer, String) - Method in class org.deeplearning4j.nn.params.FrozenLayerWithBackpropParamInitializer
 
isBiasParam(Layer, String) - Method in class org.deeplearning4j.nn.params.GravesBidirectionalLSTMParamInitializer
 
isBiasParam(Layer, String) - Method in class org.deeplearning4j.nn.params.GravesLSTMParamInitializer
 
isBiasParam(Layer, String) - Method in class org.deeplearning4j.nn.params.LSTMParamInitializer
 
isBiasParam(Layer, String) - Method in class org.deeplearning4j.nn.params.PReLUParamInitializer
 
isBiasParam(Layer, String) - Method in class org.deeplearning4j.nn.params.SameDiffParamInitializer
 
isBiasParam(Layer, String) - Method in class org.deeplearning4j.nn.params.SeparableConvolutionParamInitializer
 
isBiasParam(Layer, String) - Method in class org.deeplearning4j.nn.params.SimpleRnnParamInitializer
 
isBiasParam(Layer, String) - Method in class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer
 
isBiasParam(Layer, String) - Method in class org.deeplearning4j.nn.params.WrapperLayerParamInitializer
 
isBinaryButton(Button) - Method in class vizdoom.DoomGame
 
isBlockingMessage() - Method in class org.deeplearning4j.spark.parameterserver.networking.messages.SilentIntroductoryMessage
 
isBlockingMessage() - Method in class org.nd4j.parameterserver.distributed.messages.BaseVoidMessage
 
isBlockingMessage() - Method in class org.nd4j.parameterserver.distributed.messages.Frame
 
isBlockingMessage() - Method in class org.nd4j.parameterserver.distributed.messages.requests.InitializationRequestMessage
 
isBlockingMessage() - Method in class org.nd4j.parameterserver.distributed.messages.requests.IntroductionRequestMessage
 
isBlockingMessage() - Method in class org.nd4j.parameterserver.distributed.messages.requests.VectorRequestMessage
 
isBlockingMessage() - Method in interface org.nd4j.parameterserver.distributed.messages.VoidMessage
 
isBorrowed - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
 
isCached() - Method in class org.deeplearning4j.datasets.fetchers.CacheableExtractableDataSetFetcher
Returns a boolean indicating if the dataset is already cached locally.
isCacheSafe(Class<?>, ClassLoader) - Static method in class org.nd4j.linalg.io.ClassUtils
 
isCanny - Variable in class org.datavec.image.transform.LargestBlobCropTransform
 
isCglibProxy(Object) - Static method in class org.nd4j.linalg.io.ClassUtils
 
isCglibProxyClass(Class<?>) - Static method in class org.nd4j.linalg.io.ClassUtils
 
isCglibProxyClassName(String) - Static method in class org.nd4j.linalg.io.ClassUtils
 
isCglibRenamedMethod(Method) - Static method in class org.nd4j.linalg.io.ReflectionUtils
 
isCheckedException(Throwable) - Static method in class org.nd4j.linalg.io.ObjectUtils
 
ISchedule - Interface in org.nd4j.linalg.schedule
ISchedule: a general purpose interface for getting values according to some schedule.
isCleanedUp() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Deprecated.
isCleanedUp() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
isCleanedUp() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Returns true if the ndarray has already been freed
isClosed - Variable in class org.datavec.hadoop.records.writer.mapfile.AbstractMapFileWriter
 
isClosed() - Method in interface org.deeplearning4j.api.storage.StatsStorage
 
isClosed() - Method in class org.deeplearning4j.ui.storage.InMemoryStatsStorage
 
isClosed() - Method in class org.deeplearning4j.ui.storage.mapdb.MapDBStatsStorage
 
isClosed() - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
 
isClusteringOptimizationType(ClusteringOptimizationType) - Method in class org.deeplearning4j.clustering.strategy.OptimisationStrategy
 
isColumnVector() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Checks whether the matrix is a column vector.
isColumnVector() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
Checks whether the matrix is a column vector.
isColumnVector() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Returns true if the number of columns is 1
isColumnVector() - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
returns true if array is column vector
isColumnVector() - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
returns true if array is column vector
isColumnVector() - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
returns true if array is column vector
isColumnVector(LongPointer) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
isColumnVector(LongBuffer) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
isColumnVector(long[]) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
isColumnVector() - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
returns true if array is column vector
isColumnVector() - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
returns true if array is column vector
isColumnVector() - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
returns true if array is column vector
isColumnVector(LongPointer) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
isColumnVector(LongBuffer) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
isColumnVector(long[]) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
isColumnVectorOrScalar() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
isColumnVectorOrScalar() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
isColumnVectorOrScalar() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Returns true if the number of columns is 1
isColumnVectorShape(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
Returns true if the given shape is length 2 and the size at element 1 is 1
isColumnVectorShape(long[]) - Static method in class org.nd4j.linalg.api.shape.Shape
Returns true if the given shape length is 2 and the size at element 1 is 1
isCompatibleWithThrowsClause(Throwable, Class[]) - Static method in class org.nd4j.linalg.io.ObjectUtils
 
isComplete(String) - Method in interface org.nd4j.linalg.dataset.api.iterator.cache.DataSetCache
Check is given namespace has complete cache of the data set
isComplete(String) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InFileAndMemoryDataSetCache
 
isComplete(String) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InFileDataSetCache
 
isComplete(String) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InMemoryDataSetCache
 
isCompleted(RequestDescriptor) - Method in class org.nd4j.parameterserver.distributed.logic.completion.FrameCompletionHandler
 
isCompleted(long, long) - Method in class org.nd4j.parameterserver.distributed.logic.completion.FrameCompletionHandler
 
isComplex - Variable in class org.nd4j.linalg.api.ops.BaseAccumulation
 
isComplexAccumulation() - Method in interface org.nd4j.linalg.api.ops.Accumulation
 
isComplexAccumulation() - Method in class org.nd4j.linalg.api.ops.BaseAccumulation
 
isCompressed() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Returns true if this array is compressed, and false otherwise
isCompressed() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
isCompressed() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Returns true if this array is compressed, and false otherwise
isConfigProperties() - Method in class org.nd4j.autodiff.functions.DifferentialFunction
Returns true if the fields for this class should be looked up from a configuration class.
isConfigProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling2D
 
isConfigProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1D
 
isConfigProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D
 
isConfigProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D
 
isConfigProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2D
 
isConfigProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2DTF
 
isConfigProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2D
 
isConfigProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.FullConv3D
 
isConfigProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling2D
 
isConfigProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2D
 
isConfigProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3D
 
isConfigProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2D
 
isConfigProperties() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Dilation2D
 
isConstant() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
This method returns whether this DataBuffer is constant, or not.
isConstant() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
This method returns whether this DataBuffer is constant, or not.
isContiguous(int[], int) - Static method in class org.nd4j.linalg.indexing.Indices
Returns whether indices are contiguous by a certain amount or not
isContiguous() - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
check whether array is contiguous in memory
isContiguous() - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
check whether array is contiguous in memory
isContiguous() - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
check whether array is contiguous in memory
isContiguous() - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
check whether array is contiguous in memory
isContiguous() - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
check whether array is contiguous in memory
isContiguous() - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
check whether array is contiguous in memory
isContiguousInBuffer(INDArray) - Static method in class org.nd4j.linalg.api.shape.Shape
Are the elements in the buffer contiguous for this NDArray?
isCoreWritable() - Method in enum org.datavec.api.writable.WritableType
 
isCorrect() - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
Returns whether the tree is consistent or not
isCorrect() - Method in class org.deeplearning4j.clustering.sptree.SpTree
Verifies the structure of the tree (does bounds checking on each node)
isCrossDeviceAccessSupported() - Method in class org.nd4j.jita.concurrency.CudaAffinityManager
 
isCrossDeviceAccessSupported() - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager
This method returns TRUE if cross-device access is allowed on this system
isCrossDeviceAccessSupported() - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager
 
isDebug - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
isDebug - Variable in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
isDebug() - Method in class org.nd4j.autodiff.samediff.SameDiffOpExecutioner
 
isDebug() - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
 
isDebug() - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
This method returns true if debug mode is enabled, false otherwise
isDebug - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
 
isDeltaButton(Button) - Method in class vizdoom.DoomGame
 
isDepthBufferEnabled() - Method in class vizdoom.DoomGame
 
isDestroyed() - Method in class org.nd4j.jita.allocator.pointers.cuda.cudaEvent_t
 
isDestroyed(String) - Method in class org.nd4j.linalg.api.instrumentation.InMemoryInstrumentation
 
isDestroyed(String) - Method in interface org.nd4j.linalg.api.instrumentation.Instrumentation
Returns whether the given ndarray has been destroyed
isDestroyed - Variable in class org.nd4j.rng.NativeRandom
 
isDeviceDependant() - Method in class org.nd4j.jita.handler.impl.CudaZeroHandler
This method returns if this MemoryHandler instance is device-dependant (i.e.
isDeviceDependant() - Method in interface org.nd4j.jita.handler.MemoryHandler
This method returns if this MemoryHandler instance is device-dependant (i.e.
isDimensionFixed(int) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
Return if the dimension in argument is a fixed dimension.
isDivergent() - Method in class org.nd4j.nativeblas.Nd4jCpu.OpDescriptor
 
isDivergent() - Method in class org.nd4j.nativeblas.Nd4jCuda.OpDescriptor
 
isDone() - Method in class org.deeplearning4j.malmo.MalmoEnv
 
isDone - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
isDone - Variable in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
isDone() - Method in class org.deeplearning4j.rl4j.mdp.ale.ALEMDP
 
isDone() - Method in class org.deeplearning4j.rl4j.mdp.gym.GymEnv
 
isDone() - Method in interface org.deeplearning4j.rl4j.mdp.MDP
 
isDone() - Method in class org.deeplearning4j.rl4j.mdp.toy.HardDeteministicToy
 
isDone() - Method in class org.deeplearning4j.rl4j.mdp.toy.SimpleToy
 
isDone() - Method in class org.deeplearning4j.rl4j.mdp.vizdoom.VizDoom
 
isEarlyTerminationHit() - Method in interface org.deeplearning4j.models.embeddings.learning.ElementsLearningAlgorithm
 
isEarlyTerminationHit() - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
 
isEarlyTerminationHit() - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe
Since GloVe is learning representations using elements CoOccurences, all training is done in GloVe class internally, so only first thread will execute learning process, and the rest of parent threads will just exit learning process
isEarlyTerminationHit() - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
SkipGram has no reasons for early termination ever.
isEarlyTerminationHit() - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
DBOW has no reasons for early termination
isEarlyTerminationHit() - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
 
isEarlyTerminationHit() - Method in interface org.deeplearning4j.models.embeddings.learning.SequenceLearningAlgorithm
 
isEarlyTerminationHit() - Method in class org.deeplearning4j.spark.models.sequencevectors.learning.elements.BaseSparkLearningAlgorithm
 
isEarlyTerminationHit() - Method in class org.deeplearning4j.spark.models.sequencevectors.learning.sequence.BaseSparkSequenceLearningAlgorithm
 
isEligible(String) - Static method in class org.nd4j.util.OneTimeLogger
 
isEmpty() - Method in class com.atilika.kuromoji.trie.PatriciaTrie
Predicate indicating whether this trie is empty
isEmpty() - Method in class org.datavec.api.writable.batch.AbstractTimeSeriesWritableRecordBatch
 
isEmpty() - Method in class org.datavec.api.writable.batch.AbstractWritableRecordBatch
 
isEmpty() - Method in class org.datavec.arrow.recordreader.ArrowWritableRecordBatch
 
isEmpty() - Method in class org.datavec.arrow.recordreader.ArrowWritableRecordTimeSeriesBatch
 
isEmpty() - Method in class org.deeplearning4j.clustering.cluster.Cluster
Whether the cluster is empty or not
isEmpty() - Method in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
Checks, if sequence is empty
isEmpty() - Method in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
isEmpty() - Method in class org.deeplearning4j.util.DiskBasedQueue
 
isEmpty() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
This method returns true if this INDArray is special case: no-value INDArray
isEmpty() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
This method returns true if this INDArray is special case: no-value INDArray
isEmpty() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
This method returns true if this INDArray is special case: no-value INDArray
isEmpty(long[]) - Static method in class org.nd4j.linalg.api.shape.Shape
 
isEmpty() - Method in class org.nd4j.linalg.collection.CompactHeapStringList
 
isEmpty() - Method in class org.nd4j.linalg.collection.IntArrayKeyMap
 
isEmpty() - Method in class org.nd4j.linalg.collection.IntArrayKeySet
 
isEmpty() - Method in class org.nd4j.linalg.collection.MultiDimensionalMap
Returns true if this map contains no key-value mappings.
isEmpty() - Method in class org.nd4j.linalg.collection.MultiDimensionalSet
Returns true if this applyTransformToDestination contains no elements.
isEmpty() - Method in class org.nd4j.linalg.cpu.nativecpu.SparseNDArrayCSR
This method returns true if this INDArray is special case: no-value INDArray
isEmpty() - Method in interface org.nd4j.linalg.dataset.api.DataSet
 
isEmpty() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
 
isEmpty() - Method in class org.nd4j.linalg.dataset.DataSet
 
isEmpty() - Method in class org.nd4j.linalg.dataset.MultiDataSet
 
isEmpty(Collection) - Static method in class org.nd4j.linalg.io.CollectionUtils
 
isEmpty(Map) - Static method in class org.nd4j.linalg.io.CollectionUtils
 
isEmpty(Object[]) - Static method in class org.nd4j.linalg.io.ObjectUtils
 
isEmpty(Object) - Static method in class org.nd4j.linalg.io.StringUtils
 
isEmpty() - Method in class org.nd4j.linalg.jcublas.JcusparseNDArrayCSR
This method returns true if this INDArray is special case: no-value INDArray
isEmpty() - Method in class org.nd4j.linalg.primitives.Counter
This method returns TRUE if counter has no elements, FALSE otherwise
isEmpty() - Method in class org.nd4j.linalg.primitives.CounterMap
This method checks if this CounterMap has any values stored
isEmpty(F) - Method in class org.nd4j.linalg.primitives.CounterMap
This method checks if this CounterMap has any values stored for a given first element
isEmpty() - Method in class org.nd4j.linalg.util.LinkedMultiValueMap
 
isEmpty() - Method in class org.nd4j.linalg.util.SynchronizedTable
 
isEmpty() - Method in class org.nd4j.list.BaseNDArrayList
 
isEmpty() - Method in class org.nd4j.list.matrix.MatrixBaseNDArrayList
 
isEmpty() - Method in class org.nd4j.list.NDArrayList
 
isEmpty() - Method in class org.nd4j.nativeblas.N