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W

w1 - Variable in class org.nd4j.parameterserver.distributed.messages.intercom.DistributedCbowDotMessage
 
w1 - Variable in class org.nd4j.parameterserver.distributed.messages.intercom.DistributedSgDotMessage
 
w1 - Variable in class org.nd4j.parameterserver.distributed.messages.intercom.DistributedSkipGramMessage
 
w1 - Variable in class org.nd4j.parameterserver.distributed.messages.requests.CbowRequestMessage
 
w1 - Variable in class org.nd4j.parameterserver.distributed.messages.requests.SkipGramRequestMessage
 
w2 - Variable in class org.nd4j.parameterserver.distributed.messages.intercom.DistributedSgDotMessage
 
w2 - Variable in class org.nd4j.parameterserver.distributed.messages.intercom.DistributedSkipGramMessage
 
w2 - Variable in class org.nd4j.parameterserver.distributed.messages.requests.SkipGramRequestMessage
 
w_0(double[], double[], int) - Static method in class org.deeplearning4j.clustering.util.MathUtils
 
w_0(double[], double[], int) - Static method in class org.nd4j.linalg.util.MathUtils
 
w_1(double[], double[], int) - Static method in class org.deeplearning4j.clustering.util.MathUtils
 
w_1(double[], double[], int) - Static method in class org.nd4j.linalg.util.MathUtils
 
W_KEY - Static variable in class org.deeplearning4j.nn.layers.ocnn.OCNNParamInitializer
 
waitingTicks - Variable in class org.nd4j.jita.allocator.concurrency.AtomicState
 
waitKP() - Method in class org.deeplearning4j.rl4j.learning.HistoryProcessor
 
waitTillDone() - Method in class org.deeplearning4j.parallelism.inference.observers.BasicInferenceObserver
FOR DEBUGGING ONLY, TO BE REMOVED BEFORE MERGE
waitTillDone() - Method in class org.deeplearning4j.spark.parameterserver.util.BlockingObserver
This method blocks until state is set to True
waitTillFinished(AllocationPoint) - Method in interface org.nd4j.jita.flow.FlowController
This method ensures, that all asynchronous operations on referenced AllocationPoint are finished
waitTillFinished(AllocationPoint) - Method in class org.nd4j.jita.flow.impl.AsynchronousFlowController
Deprecated.
 
waitTillFinished(AllocationPoint) - Method in class org.nd4j.jita.flow.impl.GridFlowController
Additionally, this method checks, that there's no ops pending execution for this array
waitTillFinished(AllocationPoint) - Method in class org.nd4j.jita.flow.impl.SynchronousFlowController
 
waitTillReleased(AllocationPoint) - Method in interface org.nd4j.jita.flow.FlowController
 
waitTillReleased(AllocationPoint) - Method in class org.nd4j.jita.flow.impl.AsynchronousFlowController
Deprecated.
 
waitTillReleased(AllocationPoint) - Method in class org.nd4j.jita.flow.impl.GridFlowController
Additionally, this method checks, that there's no ops pending execution for this array
waitTillReleased(AllocationPoint) - Method in class org.nd4j.jita.flow.impl.SynchronousFlowController
 
waitTillRunning() - Method in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 
waitTillRunning() - Method in interface org.deeplearning4j.parallelism.trainer.Trainer
Block the main thread till the trainer is up and running.
walk() - Method in class org.ansj.recognition.impl.NatureRecognition
 
walk(Vertex<V>, int) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker
 
WalkDirection - Enum in org.deeplearning4j.models.sequencevectors.graph.enums
This enum describes walker behavior when choosing next hop.
walkDirection - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker.Builder
 
walkDirection - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker
 
walker - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer.Builder
 
walker - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer
 
walkLength() - Method in interface org.deeplearning4j.graph.iterator.GraphWalkIterator
Length of the walks returned by next() Note that a walk of length i contains i+1 vertices
walkLength() - Method in class org.deeplearning4j.graph.iterator.RandomWalkIterator
 
walkLength() - Method in class org.deeplearning4j.graph.iterator.WeightedRandomWalkIterator
 
walkLength - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker.Builder
 
walkLength - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker
 
walkLength - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker.Builder
 
walkLength - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker
 
WalkMode - Enum in org.deeplearning4j.models.sequencevectors.graph.enums
 
walkPath() - Method in class org.ansj.util.Graph
 
walkPath(Map<String, Double>) - Method in class org.ansj.util.Graph
干涉性增加相对权重
walkPathByScore() - Method in class org.ansj.util.Graph
 
WapitiCRFModel - Class in org.ansj.app.crf.model
加载wapiti生成的crf模型,测试使用的wapiti版本为:Wapiti v1.5.0 wapiti 下载地址:https://wapiti.limsi.fr/#download 在这里感谢作者所做的工作.
WapitiCRFModel() - Constructor for class org.ansj.app.crf.model.WapitiCRFModel
 
warn(Logger, String, Object...) - Static method in class org.nd4j.util.OneTimeLogger
 
warpImageTransform(float) - Method in class org.datavec.image.transform.ImageTransformProcess.Builder
 
warpImageTransform(float, float, float, float, float, float, float, float) - Method in class org.datavec.image.transform.ImageTransformProcess.Builder
 
WarpImageTransform - Class in org.datavec.image.transform
Warps the perspective of images deterministically or randomly.
WarpImageTransform(float) - Constructor for class org.datavec.image.transform.WarpImageTransform
Calls this(null, delta, delta, delta, delta, delta, delta, delta, delta).
WarpImageTransform(Random, float) - Constructor for class org.datavec.image.transform.WarpImageTransform
Calls this(random, delta, delta, delta, delta, delta, delta, delta, delta).
WarpImageTransform(float, float, float, float, float, float, float, float) - Constructor for class org.datavec.image.transform.WarpImageTransform
Calls this(null, dx1, dy1, dx2, dy2, dx3, dy3, dx4, dy4).
WarpImageTransform(Random, float, float, float, float, float, float, float, float) - Constructor for class org.datavec.image.transform.WarpImageTransform
Constructs an instance of the ImageTransform.
wasAveraged - Variable in class org.deeplearning4j.parallelism.ParallelWrapper
 
wasExecuted(String) - Method in class org.nd4j.autodiff.samediff.flow.FlowPath
This method returns TRUE if specified node was already executed during current pass, FALSE otherwise
wasExecuted(int) - Method in class org.nd4j.nativeblas.Nd4jCpu.FlowPath
 
wasExecuted(int) - Method in class org.nd4j.nativeblas.Nd4jCuda.FlowPath
 
Wave - Class in org.datavec.audio
Read WAVE headers and data from wave input stream
Wave() - Constructor for class org.datavec.audio.Wave
Constructor
Wave(String) - Constructor for class org.datavec.audio.Wave
Constructor
Wave(InputStream) - Constructor for class org.datavec.audio.Wave
Constructor
Wave(WaveHeader, byte[]) - Constructor for class org.datavec.audio.Wave
Constructor
WAVE_HEADER - Static variable in class org.datavec.audio.WaveHeader
 
WaveFileManager - Class in org.datavec.audio
 
WaveFileManager() - Constructor for class org.datavec.audio.WaveFileManager
 
WaveFileManager(Wave) - Constructor for class org.datavec.audio.WaveFileManager
 
WaveHeader - Class in org.datavec.audio
WAV File Specification https://ccrma.stanford.edu/courses/422/projects/WaveFormat/
WaveHeader() - Constructor for class org.datavec.audio.WaveHeader
 
WaveHeader(InputStream) - Constructor for class org.datavec.audio.WaveHeader
 
WaveOutputFormat - Class in org.datavec.audio.formats.output
 
WaveOutputFormat() - Constructor for class org.datavec.audio.formats.output.WaveOutputFormat
 
WavFileRecordReader - Class in org.datavec.audio.recordreader
Wav file loader
WavFileRecordReader() - Constructor for class org.datavec.audio.recordreader.WavFileRecordReader
 
WavFileRecordReader(boolean, List<String>) - Constructor for class org.datavec.audio.recordreader.WavFileRecordReader
 
WavFileRecordReader(List<String>) - Constructor for class org.datavec.audio.recordreader.WavFileRecordReader
 
WavFileRecordReader(boolean) - Constructor for class org.datavec.audio.recordreader.WavFileRecordReader
 
WavInputFormat - Class in org.datavec.audio.formats.input
Wave file input format
WavInputFormat() - Constructor for class org.datavec.audio.formats.input.WavInputFormat
 
WebReporter - Class in org.deeplearning4j.ui
This is simple wrapper for sending state updates generated by `TrainingListener`s.
WebUtils - Class in org.deeplearning4j.arbiter.util
Various utilities for webpages and dealing with browsers
WebUtils() - Constructor for class org.deeplearning4j.arbiter.util.WebUtils
 
WEIGHT_KEY - Static variable in class org.deeplearning4j.nn.params.CenterLossParamInitializer
 
WEIGHT_KEY - Static variable in class org.deeplearning4j.nn.params.Convolution3DParamInitializer
 
WEIGHT_KEY - Static variable in class org.deeplearning4j.nn.params.ConvolutionParamInitializer
 
WEIGHT_KEY - Static variable in class org.deeplearning4j.nn.params.DefaultParamInitializer
 
WEIGHT_KEY - Static variable in class org.deeplearning4j.nn.params.DepthwiseConvolutionParamInitializer
 
WEIGHT_KEY - Static variable in class org.deeplearning4j.nn.params.PReLUParamInitializer
 
WEIGHT_KEY - Static variable in class org.deeplearning4j.nn.params.SimpleRnnParamInitializer
 
WEIGHT_KEY_SUFFIX - Static variable in class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer
 
weightConstraints - Variable in class org.deeplearning4j.arbiter.BaseNetworkSpace
 
weightConstraints - Variable in class org.deeplearning4j.nn.conf.layers.Layer.Builder
 
weightConstraints - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
WeightedCrossEntropyLoss - Class in org.nd4j.linalg.api.ops.impl.accum
Weighted cross entropy loss with logits
WeightedCrossEntropyLoss(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.WeightedCrossEntropyLoss
 
weightedCrossEntropyWithLogits(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
weightedCrossEntropyWithLogits(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
TODO
weightedCrossEntropyWithLogits(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
TODO
WeightedEdgeLineProcessor - Class in org.deeplearning4j.graph.data.impl
A simple line processor, for data in the format 0<delim>1<delim>weight.
WeightedEdgeLineProcessor(String, boolean) - Constructor for class org.deeplearning4j.graph.data.impl.WeightedEdgeLineProcessor
 
WeightedEdgeLineProcessor(String, boolean, String...) - Constructor for class org.deeplearning4j.graph.data.impl.WeightedEdgeLineProcessor
 
WeightedRandomWalkGraphIteratorProvider<V> - Class in org.deeplearning4j.graph.iterator.parallel
Weighted random walk graph iterator provider: given a weighted graph (of type IGraph<?,? extends Number>), split up the generation of weighted random walks for parallel learning.
WeightedRandomWalkGraphIteratorProvider(IGraph<V, ? extends Number>, int) - Constructor for class org.deeplearning4j.graph.iterator.parallel.WeightedRandomWalkGraphIteratorProvider
 
WeightedRandomWalkGraphIteratorProvider(IGraph<V, ? extends Number>, int, long, NoEdgeHandling) - Constructor for class org.deeplearning4j.graph.iterator.parallel.WeightedRandomWalkGraphIteratorProvider
 
WeightedRandomWalkIterator<V> - Class in org.deeplearning4j.graph.iterator
Given a graph, iterate through random walks on that graph of a specified length.
WeightedRandomWalkIterator(IGraph<V, ? extends Number>, int) - Constructor for class org.deeplearning4j.graph.iterator.WeightedRandomWalkIterator
 
WeightedRandomWalkIterator(IGraph<V, ? extends Number>, int, long) - Constructor for class org.deeplearning4j.graph.iterator.WeightedRandomWalkIterator
Construct a RandomWalkIterator for a given graph, with a specified walk length and random number generator seed.
Uses NoEdgeHandling.EXCEPTION_ON_DISCONNECTED - hence exception will be thrown when generating random walks on graphs with vertices containing having no edges, or no outgoing edges (for directed graphs)
WeightedRandomWalkIterator(IGraph<V, ? extends Number>, int, long, NoEdgeHandling) - Constructor for class org.deeplearning4j.graph.iterator.WeightedRandomWalkIterator
 
WeightedRandomWalkIterator(IGraph<V, ? extends Number>, int, long, NoEdgeHandling, int, int) - Constructor for class org.deeplearning4j.graph.iterator.WeightedRandomWalkIterator
Constructor used to generate random walks starting at a subset of the vertices in the graph.
WeightedWalker<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.graph.walkers.impl
This is vertex weight-based walker for SequenceVectors-based DeepWalk implementation.
WeightedWalker() - Constructor for class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.WeightedWalker
 
WeightedWalker.Builder<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.graph.walkers.impl
 
weightInit(WeightInit) - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace.Builder
 
weightInit(ParameterSpace<WeightInit>) - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace.Builder
 
weightInit - Variable in class org.deeplearning4j.arbiter.BaseNetworkSpace
 
weightInit - Variable in class org.deeplearning4j.arbiter.layers.BaseLayerSpace.Builder
 
weightInit(WeightInit) - Method in class org.deeplearning4j.arbiter.layers.BaseLayerSpace.Builder
 
weightInit(ParameterSpace<WeightInit>) - Method in class org.deeplearning4j.arbiter.layers.BaseLayerSpace.Builder
 
weightInit(Distribution) - Method in class org.deeplearning4j.arbiter.layers.BaseLayerSpace.Builder
 
weightInit - Variable in class org.deeplearning4j.arbiter.layers.BaseLayerSpace
 
weightInit - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
 
weightInit(WeightInit) - Method in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
Weight initialization scheme to use, for initial weight values
weightInit(Distribution) - Method in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
Set weight initialization scheme to random sampling via the specified distribution.
weightInit - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer
 
weightInit - Variable in class org.deeplearning4j.nn.conf.layers.samediff.SameDiffLayer.Builder
 
weightInit(WeightInit) - Method in class org.deeplearning4j.nn.conf.layers.samediff.SameDiffLayer.Builder
 
weightInit - Variable in class org.deeplearning4j.nn.conf.layers.samediff.SameDiffLayer
 
weightInit - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
weightInit(WeightInit) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Weight initialization scheme.
Note: values set by this method will be applied to all applicable layers in the network, unless a different value is explicitly set on a given layer.
weightInit(Distribution) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Set weight initialization scheme to random sampling via the specified distribution.
weightInit(WeightInit) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
Weight initialization scheme
weightInit(Distribution) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
Set weight initialization scheme to random sampling via the specified distribution.
Equivalent to: .weightInit(WeightInit.DISTRIBUTION).dist(distribution)
weightInit - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
WeightInit - Enum in org.deeplearning4j.nn.weights
Weight initialization scheme
WeightInit - Enum in org.nd4j.weightinit
Weight initialization scheme
weightInitRecurrent - Variable in class org.deeplearning4j.nn.conf.layers.BaseRecurrentLayer.Builder
 
weightInitRecurrent(WeightInit) - Method in class org.deeplearning4j.nn.conf.layers.BaseRecurrentLayer.Builder
Set the weight initialization for the recurrent weights.
weightInitRecurrent(Distribution) - Method in class org.deeplearning4j.nn.conf.layers.BaseRecurrentLayer.Builder
Set the weight initialization for the recurrent weights, based on the specified distribution.
weightInitRecurrent - Variable in class org.deeplearning4j.nn.conf.layers.BaseRecurrentLayer
 
weightInitScheme - Variable in class org.nd4j.autodiff.samediff.SDVariable
 
WeightInitScheme - Interface in org.nd4j.weightinit
Defines weight initialization for neural networks.
WeightInitUtil - Class in org.deeplearning4j.nn.weights
Weight initialization utility
WeightIterator() - Constructor for class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.WeightIterator
 
weightKeys(Layer) - Method in interface org.deeplearning4j.nn.api.ParamInitializer
Weight parameter keys given the layer configuration
weightKeys(Layer) - Method in class org.deeplearning4j.nn.layers.ocnn.OCNNParamInitializer
 
weightKeys(Layer) - Method in class org.deeplearning4j.nn.params.BatchNormalizationParamInitializer
 
weightKeys(Layer) - Method in class org.deeplearning4j.nn.params.BidirectionalParamInitializer
 
weightKeys(Layer) - Method in class org.deeplearning4j.nn.params.ConvolutionParamInitializer
 
weightKeys(Layer) - Method in class org.deeplearning4j.nn.params.DefaultParamInitializer
 
weightKeys(Layer) - Method in class org.deeplearning4j.nn.params.DepthwiseConvolutionParamInitializer
 
weightKeys(Layer) - Method in class org.deeplearning4j.nn.params.EmptyParamInitializer
 
weightKeys(Layer) - Method in class org.deeplearning4j.nn.params.FrozenLayerParamInitializer
 
weightKeys(Layer) - Method in class org.deeplearning4j.nn.params.FrozenLayerWithBackpropParamInitializer
 
weightKeys(Layer) - Method in class org.deeplearning4j.nn.params.GravesBidirectionalLSTMParamInitializer
 
weightKeys(Layer) - Method in class org.deeplearning4j.nn.params.GravesLSTMParamInitializer
 
weightKeys(Layer) - Method in class org.deeplearning4j.nn.params.LSTMParamInitializer
 
weightKeys(Layer) - Method in class org.deeplearning4j.nn.params.PReLUParamInitializer
 
weightKeys(Layer) - Method in class org.deeplearning4j.nn.params.SameDiffParamInitializer
 
weightKeys(Layer) - Method in class org.deeplearning4j.nn.params.SeparableConvolutionParamInitializer
 
weightKeys(Layer) - Method in class org.deeplearning4j.nn.params.SimpleRnnParamInitializer
 
weightKeys(Layer) - Method in class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer
 
weightKeys(Layer) - Method in class org.deeplearning4j.nn.params.WrapperLayerParamInitializer
 
weightL1Regularization - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
 
weightL2Regularization - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
 
WeightLookupTable<T extends SequenceElement> - Interface in org.deeplearning4j.models.embeddings
General weight lookup table
weightNoise(IWeightNoise) - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace.Builder
 
weightNoise(ParameterSpace<IWeightNoise>) - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace.Builder
 
weightNoise - Variable in class org.deeplearning4j.arbiter.BaseNetworkSpace
 
weightNoise - Variable in class org.deeplearning4j.arbiter.layers.BaseLayerSpace.Builder
 
weightNoise - Variable in class org.deeplearning4j.arbiter.layers.BaseLayerSpace
 
weightNoise - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
 
weightNoise(IWeightNoise) - Method in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
Set the weight noise (such as DropConnect and WeightNoise) for this layer
weightNoise - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer
 
weightNoise - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
weightNoise(IWeightNoise) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Set the weight noise (such as DropConnect and WeightNoise) for the layers in this network.
Note: values set by this method will be applied to all applicable layers in the network, unless a different value is explicitly set on a given layer.
WeightNoise - Class in org.deeplearning4j.nn.conf.weightnoise
Apply noise of the specified distribution to the weights at training time.
WeightNoise(Distribution) - Constructor for class org.deeplearning4j.nn.conf.weightnoise.WeightNoise
 
WeightNoise(Distribution, boolean) - Constructor for class org.deeplearning4j.nn.conf.weightnoise.WeightNoise
 
WeightNoise(Distribution, boolean, boolean) - Constructor for class org.deeplearning4j.nn.conf.weightnoise.WeightNoise
 
weightNoise(IWeightNoise) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
Set the weight noise (such as DropConnect and WeightNoise)
weightNoise - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
weightNoiseParams - Variable in class org.deeplearning4j.nn.layers.BaseLayer
 
weightNoiseParams - Variable in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
weights - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
 
weights(InMemoryLookupTable) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam.Builder
Deprecated.
 
weights - Variable in class org.nd4j.linalg.lossfunctions.impl.LossL1
 
weights - Variable in class org.nd4j.linalg.lossfunctions.impl.LossL2
 
weightsArchive - Variable in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
 
weightsFor(List<Double>) - Static method in class org.deeplearning4j.clustering.util.MathUtils
This returns the minimized loss values for a given vector.
weightsFor(double[]) - Static method in class org.deeplearning4j.clustering.util.MathUtils
This returns the minimized loss values for a given vector.
weightsFor(List<Double>) - Static method in class org.nd4j.linalg.util.MathUtils
This returns the minimized loss values for a given vector.
weightsFor(double[]) - Static method in class org.nd4j.linalg.util.MathUtils
This returns the minimized loss values for a given vector.
weightsHdf5Filename(String) - Method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
Set weights of the model by providing the file name of the corresponding weights HDF5 file.
weightsHdf5FilenameNoRoot(String) - Method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
Set weights of the model by providing the file name of the corresponding weights HDF5 file.
weightsRoot - Variable in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
 
Where - Class in org.nd4j.linalg.api.ops.impl.controlflow
 
Where(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.Where
 
Where(String, INDArray[], INDArray[], List<Double>, List<Integer>) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.Where
 
Where(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.Where
 
Where(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.Where
 
WhereNumpy - Class in org.nd4j.linalg.api.ops.impl.controlflow
 
WhereNumpy(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.WhereNumpy
 
WhereNumpy(String, INDArray[], INDArray[], List<Double>, List<Integer>) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.WhereNumpy
 
WhereNumpy(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.WhereNumpy
 
WhereNumpy(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.WhereNumpy
 
While - Class in org.nd4j.linalg.api.ops.impl.controlflow
Equivalent to tensorflow's while loop Takes in: loopVars loop body condition runs loop till condition is false.
While(AtomicInteger) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.While
Mainly meant for tensorflow import.
While(While) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.While
 
While(String, SameDiff, SDVariable[], SameDiffConditional, SameDiffFunctionDefinition, SameDiffFunctionDefinition) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.While
 
WhileDerivative - Class in org.nd4j.linalg.api.ops.impl.controlflow
While loop derivative
WhileDerivative(While) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.WhileDerivative
 
whileStatement(SameDiffConditional, SameDiffFunctionDefinition, SameDiffFunctionDefinition, SDVariable[]) - Method in class org.nd4j.autodiff.samediff.SameDiff
Creates a while statement
whitespaceMode(String) - Method in class org.deeplearning4j.ui.components.table.style.StyleTable.Builder
Set the whitespace mode (CSS style tag).
whitespacePre(boolean) - Method in class org.deeplearning4j.ui.components.text.style.StyleText.Builder
If set to true: add a "white-space: pre" to the style.
wholeArrayDimension(int...) - Static method in class org.nd4j.linalg.api.shape.Shape
Returns true if the given array is meant for the whole dimension
wholeArrayUpdate(INDArray) - Static method in class org.nd4j.aeron.ipc.NDArrayMessage
Prepare a whole array update which includes the default dimensions for indicating updating the whole array (a 1 length int array with -1 as its only element) -1 representing the dimension
width - Variable in class org.datavec.image.loader.BaseImageLoader
 
WIDTH - Static variable in class org.datavec.image.loader.CifarLoader
 
WIDTH - Static variable in class org.datavec.image.loader.LFWLoader
 
width - Variable in class org.datavec.image.recordreader.BaseImageRecordReader
 
WIDTH - Static variable in class org.datavec.image.recordreader.BaseImageRecordReader
 
WIDTH - Static variable in class org.datavec.image.recordreader.VideoRecordReader
 
width(int) - Method in class org.deeplearning4j.clustering.sptree.Cell
 
width() - Method in class org.deeplearning4j.clustering.sptree.Cell
 
WIDTH - Static variable in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
 
width - Variable in class org.deeplearning4j.ui.api.Style.Builder
 
width(double, LengthUnit) - Method in class org.deeplearning4j.ui.api.Style.Builder
 
width() - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleContextPrototype
This method returns number of inputs available in this block
width() - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatContextPrototype
This method returns number of inputs available in this block
width() - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfContextPrototype
This method returns number of inputs available in this block
width() - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleContextPrototype
This method returns number of inputs available in this block
width() - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatContextPrototype
This method returns number of inputs available in this block
width() - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfContextPrototype
This method returns number of inputs available in this block
WIDTH_FIELD_NUMBER - Static variable in class org.tensorflow.framework.Summary.Image
 
widthUnit - Variable in class org.deeplearning4j.ui.api.Style.Builder
 
Window - Class in org.datavec.nlp.movingwindow
A representation of a sliding window.
Window(Collection<String>, int, int) - Constructor for class org.datavec.nlp.movingwindow.Window
Creates a window with a context of size 3
Window(Collection<String>, int, int, int) - Constructor for class org.datavec.nlp.movingwindow.Window
Initialize a window with the given size
window - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
 
window - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
 
window - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
 
window - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
 
window - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
window - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
window(int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam.Builder
Deprecated.
 
WINDOW - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
WINDOW - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecVariables
Deprecated.
 
Window - Class in org.deeplearning4j.text.movingwindow
A representation of a sliding window.
Window(Collection<String>, int, int) - Constructor for class org.deeplearning4j.text.movingwindow.Window
Creates a window with a context of size 3
Window(Collection<String>, int, int, int) - Constructor for class org.deeplearning4j.text.movingwindow.Window
Initialize a window with the given size
WindowConverter - Class in org.deeplearning4j.text.movingwindow
Util methods for converting windows to training examples
windowForWordInPosition(int, int, List<String>) - Static method in class org.datavec.nlp.movingwindow.Windows
Creates a sliding window from text
windowForWordInPosition(int, int, List<String>) - Static method in class org.deeplearning4j.text.movingwindow.Windows
Creates a sliding window from text
WindowFunction - Interface in org.datavec.api.transform.sequence.window
A WindowFunction splits a sequence into a set of (possibly overlapping) sub-sequences.
WindowFunction - Class in org.datavec.audio.dsp
Window functions generator
WindowFunction() - Constructor for class org.datavec.audio.dsp.WindowFunction
 
WindowFunctionHelper() - Constructor for class org.datavec.api.transform.serde.legacy.LegacyMappingHelper.WindowFunctionHelper
 
Windows - Class in org.datavec.nlp.movingwindow
Static utility class for textual based windowing functions
Windows() - Constructor for class org.datavec.nlp.movingwindow.Windows
 
windows(InputStream, int) - Static method in class org.datavec.nlp.movingwindow.Windows
Constructs a list of window of size windowSize.
windows(InputStream, TokenizerFactory, int) - Static method in class org.datavec.nlp.movingwindow.Windows
Constructs a list of window of size windowSize.
windows(String, int) - Static method in class org.datavec.nlp.movingwindow.Windows
Constructs a list of window of size windowSize.
windows(String, TokenizerFactory, int) - Static method in class org.datavec.nlp.movingwindow.Windows
Constructs a list of window of size windowSize.
windows(String) - Static method in class org.datavec.nlp.movingwindow.Windows
Constructs a list of window of size windowSize.
windows(String, TokenizerFactory) - Static method in class org.datavec.nlp.movingwindow.Windows
Constructs a list of window of size windowSize.
windows(List<String>, int) - Static method in class org.datavec.nlp.movingwindow.Windows
Constructs a list of window of size windowSize
Windows - Class in org.deeplearning4j.text.movingwindow
Static utility class for textual based windowing cooccurrences
windows(InputStream, int) - Static method in class org.deeplearning4j.text.movingwindow.Windows
Constructs a list of window of size windowSize.
windows(InputStream, TokenizerFactory, int) - Static method in class org.deeplearning4j.text.movingwindow.Windows
Constructs a list of window of size windowSize.
windows(String, int) - Static method in class org.deeplearning4j.text.movingwindow.Windows
Constructs a list of window of size windowSize.
windows(String, TokenizerFactory, int, WordVectors) - Static method in class org.deeplearning4j.text.movingwindow.Windows
Constructs a list of window of size windowSize.
windows(String) - Static method in class org.deeplearning4j.text.movingwindow.Windows
Constructs a list of window of size windowSize.
windows(String, TokenizerFactory) - Static method in class org.deeplearning4j.text.movingwindow.Windows
Constructs a list of window of size windowSize.
windows(List<String>, int) - Static method in class org.deeplearning4j.text.movingwindow.Windows
Constructs a list of window of size windowSize
windows() - Method in class org.deeplearning4j.util.MovingWindowMatrix
Returns a list of non flattened moving window matrices
windows(boolean) - Method in class org.deeplearning4j.util.MovingWindowMatrix
Moving window, capture a row x column moving window of a given matrix
windowSeparation(long, TimeUnit) - Method in class org.datavec.api.transform.sequence.window.OverlappingTimeWindowFunction.Builder
 
windowSize(long, TimeUnit) - Method in class org.datavec.api.transform.sequence.window.OverlappingTimeWindowFunction.Builder
 
windowSize(long, TimeUnit) - Method in class org.datavec.api.transform.sequence.window.TimeWindowFunction.Builder
 
windowSize - Variable in class org.deeplearning4j.arbiter.layers.OCNNLayerSpace.Builder
 
windowSize(int) - Method in class org.deeplearning4j.arbiter.layers.OCNNLayerSpace.Builder
 
windowSize(ParameterSpace<Integer>) - Method in class org.deeplearning4j.arbiter.layers.OCNNLayerSpace.Builder
 
windowSize - Variable in class org.deeplearning4j.arbiter.layers.OCNNLayerSpace
 
windowSize(int) - Method in class org.deeplearning4j.graph.models.deepwalk.DeepWalk.Builder
Sets the window size used in skipgram model
windowSize - Variable in class org.deeplearning4j.models.glove.AbstractCoOccurrences.Builder
 
windowSize(int) - Method in class org.deeplearning4j.models.glove.AbstractCoOccurrences.Builder
 
windowSize - Variable in class org.deeplearning4j.models.glove.AbstractCoOccurrences
 
windowSize(int) - Method in class org.deeplearning4j.models.glove.Glove.Builder
 
windowSize(int) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
windowSize(int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method defines context window size
windowSize(int) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
Sets window size for skip-Gram training
windowSize(int) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method defines context window size
windowSize - Variable in class org.deeplearning4j.nn.conf.ocnn.OCNNOutputLayer.Builder
 
windowSize(int) - Method in class org.deeplearning4j.nn.conf.ocnn.OCNNOutputLayer.Builder
The number of examples to use for computing the quantile for the r value update.
windowSize - Variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
 
windowSize(int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
Specifies window size
WiredEncodingHandler - Class in org.deeplearning4j.spark.parameterserver.networking
This MessageHandler implementation does the same as EncodingHandler, plus additionally: sends encoded messages over the wire + receives encoded messages from outer parties
WiredEncodingHandler() - Constructor for class org.deeplearning4j.spark.parameterserver.networking.WiredEncodingHandler
This method builds new WiredEncodingHandler instance with initial encoding of 1e-3
WiredEncodingHandler(double) - Constructor for class org.deeplearning4j.spark.parameterserver.networking.WiredEncodingHandler
This method builds new WiredEncodingHandler instance
WiredEncodingHandler(double, Double) - Constructor for class org.deeplearning4j.spark.parameterserver.networking.WiredEncodingHandler
This method builds new WiredEncodingHandler instance
WiredEncodingHandler(double, double, double, double, int, int) - Constructor for class org.deeplearning4j.spark.parameterserver.networking.WiredEncodingHandler
This method builds new WiredEncodingHandler instance
WiredEncodingHandler(double, double, double, double, int, int, Double) - Constructor for class org.deeplearning4j.spark.parameterserver.networking.WiredEncodingHandler
This method builds new WiredEncodingHandler instance
with(K, V) - Static method in class org.ansj.domain.KV
 
with(ArrayType, String, WorkspaceConfiguration) - Method in class org.deeplearning4j.nn.workspace.LayerWorkspaceMgr.Builder
Configure the workspace (name, configuration) for the specified array type
withLR(ParameterSpace<Double>) - Static method in class org.deeplearning4j.arbiter.conf.updater.AdaGradSpace
 
withLR(ParameterSpace<Double>) - Static method in class org.deeplearning4j.arbiter.conf.updater.AdaMaxSpace
 
withLR(ParameterSpace<Double>) - Static method in class org.deeplearning4j.arbiter.conf.updater.AdamSpace
 
withLR(ParameterSpace<Double>) - Static method in class org.deeplearning4j.arbiter.conf.updater.NadamSpace
 
withLR(ParameterSpace<Double>) - Static method in class org.deeplearning4j.arbiter.conf.updater.NesterovsSpace
 
withLR(ParameterSpace<Double>, double) - Static method in class org.deeplearning4j.arbiter.conf.updater.NesterovsSpace
 
withLR(ParameterSpace<Double>, ParameterSpace<Double>) - Static method in class org.deeplearning4j.arbiter.conf.updater.NesterovsSpace
 
withLRSchedule(ParameterSpace<ISchedule>) - Static method in class org.deeplearning4j.arbiter.conf.updater.AdaGradSpace
 
withLRSchedule(ParameterSpace<ISchedule>) - Static method in class org.deeplearning4j.arbiter.conf.updater.AdaMaxSpace
 
withLRSchedule(ParameterSpace<ISchedule>) - Static method in class org.deeplearning4j.arbiter.conf.updater.AdamSpace
 
withLRSchedule(ParameterSpace<ISchedule>) - Static method in class org.deeplearning4j.arbiter.conf.updater.NadamSpace
 
withLRSchedule(ParameterSpace<ISchedule>) - Static method in class org.deeplearning4j.arbiter.conf.updater.NesterovsSpace
 
withLRSchedule(ParameterSpace<ISchedule>, double) - Static method in class org.deeplearning4j.arbiter.conf.updater.NesterovsSpace
 
withLRSchedule(ParameterSpace<ISchedule>, ParameterSpace<Double>) - Static method in class org.deeplearning4j.arbiter.conf.updater.NesterovsSpace
 
withOffset(long, long) - Method in class org.nd4j.linalg.api.memory.pointers.PagedPointer
 
Word2Vec - Class in org.deeplearning4j.models.word2vec
This is Word2Vec implementation based on SequenceVectors
Word2Vec() - Constructor for class org.deeplearning4j.models.word2vec.Word2Vec
 
Word2Vec - Class in org.deeplearning4j.spark.models.embeddings.word2vec
Spark version of word2vec
Word2Vec(INDArray) - Constructor for class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec
 
Word2Vec() - Constructor for class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec
 
word2Vec - Variable in class org.deeplearning4j.spark.models.sequencevectors.export.impl.VocabCacheExporter
 
Word2Vec.Builder - Class in org.deeplearning4j.models.word2vec
 
Word2Vec.Builder - Class in org.deeplearning4j.spark.models.embeddings.word2vec
 
Word2VecChange - Class in org.deeplearning4j.spark.models.embeddings.word2vec
Deprecated.
Word2VecChange(List<Triple<Integer, Integer, Integer>>, Word2VecParam) - Constructor for class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecChange
Deprecated.
 
Word2VecDataFetcher - Class in org.deeplearning4j.models.word2vec.iterator
 
Word2VecDataFetcher(String, Word2Vec, List<String>) - Constructor for class org.deeplearning4j.models.word2vec.iterator.Word2VecDataFetcher
 
Word2VecDataSetIterator - Class in org.deeplearning4j.models.word2vec.iterator
Iterates over a sentence with moving window to produce a data applyTransformToDestination for word windows based on a pretrained word2vec.
Word2VecDataSetIterator(Word2Vec, LabelAwareSentenceIterator, List<String>, int, boolean, boolean) - Constructor for class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
Allows for customization of all of the params of the iterator
Word2VecDataSetIterator(Word2Vec, LabelAwareSentenceIterator, List<String>) - Constructor for class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
Initializes this iterator with homogenization and adding labels and a batch size of 10
Word2VecDataSetIterator(Word2Vec, LabelAwareSentenceIterator, List<String>, int) - Constructor for class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
Initializes this iterator with homogenization and adding labels
Word2VecFuncCall - Class in org.deeplearning4j.spark.models.embeddings.word2vec
Deprecated.
Word2VecFuncCall(Broadcast<Word2VecParam>, Long, List<VocabWord>) - Constructor for class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecFuncCall
Deprecated.
 
Word2VecParam - Class in org.deeplearning4j.spark.models.embeddings.word2vec
Deprecated.
Word2VecParam(boolean, double, int, INDArray, int, AtomicLong, double, double, int, int, Broadcast<AtomicLong>, InMemoryLookupTable, int, Broadcast<double[]>) - Constructor for class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam
Deprecated.
 
Word2VecParam.Builder - Class in org.deeplearning4j.spark.models.embeddings.word2vec
Deprecated.
 
Word2VecPerformer - Class in org.deeplearning4j.spark.models.embeddings.word2vec
Deprecated.
Word2VecPerformer(SparkConf, Broadcast<AtomicLong>, InMemoryLookupTable) - Constructor for class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformer
Deprecated.
 
Word2VecPerformerVoid - Class in org.deeplearning4j.spark.models.embeddings.word2vec
Deprecated.
Word2VecPerformerVoid(SparkConf, Broadcast<AtomicLong>, InMemoryLookupTable) - Constructor for class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
Word2VecSetup - Class in org.deeplearning4j.spark.models.embeddings.word2vec
Deprecated.
Word2VecSetup(Broadcast<Word2VecParam>) - Constructor for class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecSetup
Deprecated.
 
Word2VecVariables - Class in org.deeplearning4j.spark.models.embeddings.word2vec
Deprecated.
WORD_COST - Static variable in class com.atilika.kuromoji.dict.DictionaryField
 
wordAlert(String) - Static method in class org.ansj.app.crf.Config
词语标准化
wordAt(int) - Method in class org.datavec.nlp.metadata.DefaultVocabCache
 
wordAt(int) - Method in interface org.datavec.nlp.metadata.VocabCache
Returns a word in the vocab at a particular index
wordAtIndex(int) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Returns the label of the element at specified Huffman index
wordAtIndex(int) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
Returns the word contained at the given index or null
wordAtIndex(int) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Returns the word contained at the given index or null
WordConverter - Class in org.deeplearning4j.text.movingwindow
 
WordConverter(List<String>, Word2Vec) - Constructor for class org.deeplearning4j.text.movingwindow.WordConverter
 
wordCost - Variable in class com.atilika.kuromoji.dict.DictionaryEntryBase
 
wordCost(short) - Method in class com.atilika.kuromoji.dict.GenericDictionaryEntry.Builder
 
wordCount(Broadcast<AtomicLong>) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam.Builder
Deprecated.
 
wordFor(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Returns SequenceElement for specified label
wordFor(long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
 
wordFor(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
wordFor(long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
wordFor(String) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
 
wordFor(long) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
 
WordFreqAccumulator - Class in org.deeplearning4j.spark.text.accumulators
 
WordFreqAccumulator() - Constructor for class org.deeplearning4j.spark.text.accumulators.WordFreqAccumulator
 
wordFrequencies - Variable in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
wordFrequenciesForRecord(Collection<Writable>) - Method in class org.datavec.nlp.vectorizer.TextVectorizer
 
wordFrequency(String) - Method in class org.datavec.nlp.metadata.DefaultVocabCache
 
wordFrequency(String) - Method in interface org.datavec.nlp.metadata.VocabCache
Get the word frequency for a word
wordFrequency(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Returns the SequenceElement's frequency over training corpus
wordFrequency(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
Returns the number of times the word has occurred
wordFrequency(String) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Returns the number of times the word has occurred
WordIdMap - Class in com.atilika.kuromoji.buffer
 
WordIdMap(InputStream) - Constructor for class com.atilika.kuromoji.buffer.WordIdMap
 
wordIdMap - Variable in class com.atilika.kuromoji.dict.TokenInfoDictionary
 
WordIdMapCompiler - Class in com.atilika.kuromoji.compile
 
WordIdMapCompiler() - Constructor for class com.atilika.kuromoji.compile.WordIdMapCompiler
 
WordIdMapCompiler.GrowableIntArray - Class in com.atilika.kuromoji.compile
 
wordIdsCompiler - Variable in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
 
words() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Returns collection of labels available in this vocabulary
words() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
Returns all of the words in the vocab
words() - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Returns all of the words in the vocab
words() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
Returns sorted list of words in vocabulary.
WordSimilarity() - Constructor for class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils.WordSimilarity
 
WordsListToVocabWordsFunction - Class in org.deeplearning4j.spark.text.functions
 
WordsListToVocabWordsFunction(Broadcast<VocabCache<VocabWord>>) - Constructor for class org.deeplearning4j.spark.text.functions.WordsListToVocabWordsFunction
 
wordsNearest(String, int) - Method in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
 
wordsNearest(Collection<String>, Collection<String>, int) - Method in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
 
wordsNearest(INDArray, int) - Method in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
Words nearest based on positive and negative words * @param top the top n words
wordsNearest(String, int) - Method in class org.deeplearning4j.models.embeddings.reader.impl.FlatModelUtils
This method does full scan against whole vocabulary, building descending list of similar words
wordsNearest(INDArray, int) - Method in class org.deeplearning4j.models.embeddings.reader.impl.FlatModelUtils
This method does full scan against whole vocabulary, building descending list of similar words
wordsNearest(String, int) - Method in class org.deeplearning4j.models.embeddings.reader.impl.TreeModelUtils
This method returns nearest words for target word, based on tree structure.
wordsNearest(Collection<String>, Collection<String>, int) - Method in class org.deeplearning4j.models.embeddings.reader.impl.TreeModelUtils
 
wordsNearest(INDArray, int) - Method in class org.deeplearning4j.models.embeddings.reader.impl.TreeModelUtils
 
wordsNearest(String, int) - Method in interface org.deeplearning4j.models.embeddings.reader.ModelUtils
This method implementations should return N nearest elements labels to given element's label
wordsNearest(Collection<String>, Collection<String>, int) - Method in interface org.deeplearning4j.models.embeddings.reader.ModelUtils
Words nearest based on positive and negative words
wordsNearest(INDArray, int) - Method in interface org.deeplearning4j.models.embeddings.reader.ModelUtils
Words nearest based on positive and negative words * @param top the top n words
wordsNearest(INDArray, int) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors
 
wordsNearest(Collection<String>, Collection<String>, int) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors
Words nearest based on positive and negative words
wordsNearest(String, int) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors
Get the top n words most similar to the given word
wordsNearest(INDArray, int) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
Words nearest based on positive and negative words * @param top the top n words
wordsNearest(Collection<String>, Collection<String>, int) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
Words nearest based on positive and negative words
wordsNearest(String, int) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
Get the top n words most similar to the given word
wordsNearest(INDArray, int) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
 
wordsNearest(Collection<String>, Collection<String>, int) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
Words nearest based on positive and negative words PLEASE NOTE: This method is not available in this implementation.
wordsNearest(String, int) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
Get the top n words most similar to the given word PLEASE NOTE: This method is not available in this implementation.
wordsNearestSum(String, int) - Method in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
Get the top n words most similar to the given word
wordsNearestSum(INDArray, int) - Method in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
Words nearest based on positive and negative words * @param top the top n words
wordsNearestSum(Collection<String>, Collection<String>, int) - Method in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
Words nearest based on positive and negative words
wordsNearestSum(String, int) - Method in interface org.deeplearning4j.models.embeddings.reader.ModelUtils
 
wordsNearestSum(INDArray, int) - Method in interface org.deeplearning4j.models.embeddings.reader.ModelUtils
 
wordsNearestSum(Collection<String>, Collection<String>, int) - Method in interface org.deeplearning4j.models.embeddings.reader.ModelUtils
 
wordsNearestSum(INDArray, int) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors
 
wordsNearestSum(String, int) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors
Get the top n words most similar to the given word
wordsNearestSum(Collection<String>, Collection<String>, int) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors
Words nearest based on positive and negative words
wordsNearestSum(Collection<String>, Collection<String>, int) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
Words nearest based on positive and negative words
wordsNearestSum(INDArray, int) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
Words nearest based on positive and negative words * @param top the top n words
wordsNearestSum(String, int) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
Get the top n words most similar to the given word
wordsNearestSum(INDArray, int) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
 
wordsNearestSum(String, int) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
Get the top n words most similar to the given word PLEASE NOTE: This method is not available in this implementation.
wordsNearestSum(Collection<String>, Collection<String>, int) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
Words nearest based on positive and negative words PLEASE NOTE: This method is not available in this implementation.
wordVectors(WordVectors) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder
Provide the WordVectors instance that should be used for training
WordVectors - Interface in org.deeplearning4j.models.embeddings.wordvectors
Word vectors.
WordVectorSerializer - Class in org.deeplearning4j.models.embeddings.loader
This is utility class, providing various methods for WordVectors serialization
WordVectorSerializer.BinaryReader - Class in org.deeplearning4j.models.embeddings.loader
 
WordVectorSerializer.CSVReader - Class in org.deeplearning4j.models.embeddings.loader
 
WordVectorSerializer.Reader - Interface in org.deeplearning4j.models.embeddings.loader
 
WordVectorsImpl<T extends SequenceElement> - Class in org.deeplearning4j.models.embeddings.wordvectors
Common word vector operations
WordVectorsImpl() - Constructor for class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
WordVectorStorage - Class in org.nd4j.parameterserver.distributed.logic.storage
 
WordVectorStorage() - Constructor for class org.nd4j.parameterserver.distributed.logic.storage.WordVectorStorage
 
WORK_FINISHED_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ReaderBaseState
 
WORK_STARTED_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ReaderBaseState
 
WORKER_FLAT_MAP_DATA_SET_GET_TIMES_MS - Static variable in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats
 
WORKER_FLAT_MAP_GET_INITIAL_MODEL_TIME_MS - Static variable in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats
 
WORKER_FLAT_MAP_PROCESS_MINI_BATCH_TIMES_MS - Static variable in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats
 
WORKER_FLAT_MAP_TOTAL_TIME_MS - Static variable in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats
 
WorkerConfiguration - Class in org.deeplearning4j.spark.api
A simple configuration object (common settings for workers)
WorkerConfiguration() - Constructor for class org.deeplearning4j.spark.api.WorkerConfiguration
 
workerCounter - Variable in class org.deeplearning4j.parallelism.ParallelWrapper
 
workerFlatMapDataSetGetTimesMs(List<EventStats>) - Method in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats.Builder
 
workerFlatMapGetInitialModelTimeMs(List<EventStats>) - Method in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats.Builder
 
workerFlatMapProcessMiniBatchTimesMs(List<EventStats>) - Method in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats.Builder
 
workerFlatMapTotalTimeMs(List<EventStats>) - Method in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats.Builder
 
workerId(String) - Method in class org.deeplearning4j.arbiter.ui.data.ModelInfoPersistable.Builder
 
workerID() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
workerID(String) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
workerID() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
workerID(String) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
workerID() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
workerID(String) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
workerIDCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
workerIDCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
workerIDCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
workerIDCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
workerIDCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
workerIDCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
workerIDHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
workerIDHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
workerIDHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
workerIDHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
workerIDHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
workerIDHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
workerIDId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
workerIDId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
workerIDId() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
workerIDId() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
workerIDId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
workerIDId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
workerIDLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
workerIDLength() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
workerIDLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
workerIDMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
workerIDMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
workerIDMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
workerIDMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
workerIDMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
workerIDMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
workerPrefetchBatches - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
workerPrefetchNumBatches(int) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
Set the number of minibatches to asynchronously prefetch in the worker.
workerPrefetchNumBatches - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
 
workerPrefetchNumBatches(int) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
Number of minibatches to asynchronously prefetch when training.
workers - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
workers - Variable in class org.deeplearning4j.models.glove.AbstractCoOccurrences.Builder
 
workers(int) - Method in class org.deeplearning4j.models.glove.AbstractCoOccurrences.Builder
 
workers - Variable in class org.deeplearning4j.models.glove.AbstractCoOccurrences
 
workers(int) - Method in class org.deeplearning4j.models.glove.Glove.Builder
 
workers(int) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
workers(int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method defines maximum number of concurrent threads available for training
workers - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
workers(int) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
Sets number of worker threads to be used in calculations
workers(int) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method defines maximum number of concurrent threads available for training
workers(int) - Method in class org.deeplearning4j.parallelism.ParallelInference.Builder
This method defines, how many model copies will be used for inference.
workers - Variable in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
 
workers(int) - Method in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
This method allows to configure number of workers that'll be used for parallel training
workers - Variable in class org.deeplearning4j.parallelism.ParallelWrapper
 
workers(int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
Specify number of workers for training process.
workers - Variable in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder
 
workers(int) - Method in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder
 
workers(int) - Method in class org.deeplearning4j.spark.models.word2vec.SparkWord2Vec.Builder
 
workersCounter - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
workersPerNode(int) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
This method allows to configure number of trainer threads per cluster node.
workingMemory(long, long, long, long) - Method in class org.deeplearning4j.nn.conf.memory.LayerMemoryReport.Builder
Report the working memory size, for both inference and training
workingMemory(long, long, Map<CacheMode, Long>, Map<CacheMode, Long>) - Method in class org.deeplearning4j.nn.conf.memory.LayerMemoryReport.Builder
Report the working memory requirements, for both inference and training.
WORKSHEET_NAME - Static variable in class org.datavec.poi.excel.ExcelRecordWriter
 
workspace() - Method in class org.deeplearning4j.clustering.sptree.SpTree
 
workspace - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
 
workspace() - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleContext
 
workspace() - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArrayList
 
workspace() - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleVariableSpace
 
workspace() - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatContext
 
workspace() - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArrayList
 
workspace() - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatVariableSpace
 
workspace() - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfContext
 
workspace() - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArrayList
 
workspace() - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfVariableSpace
 
Workspace(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.Workspace
Pointer cast constructor.
Workspace(Nd4jCpu.ExternalWorkspace) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.Workspace
 
Workspace(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.Workspace
 
Workspace() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.Workspace
 
workspace() - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleContext
 
workspace() - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArrayList
 
workspace() - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleVariableSpace
 
workspace() - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatContext
 
workspace() - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArrayList
 
workspace() - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatVariableSpace
 
workspace() - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfContext
 
workspace() - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArrayList
 
workspace() - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfVariableSpace
 
Workspace(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCuda.Workspace
Pointer cast constructor.
Workspace(Nd4jCuda.ExternalWorkspace) - Constructor for class org.nd4j.nativeblas.Nd4jCuda.Workspace
 
Workspace(long) - Constructor for class org.nd4j.nativeblas.Nd4jCuda.Workspace
 
Workspace() - Constructor for class org.nd4j.nativeblas.Nd4jCuda.Workspace
 
WORKSPACE_MANAGER - Static variable in class org.nd4j.linalg.factory.Nd4j
 
workspaceCache - Static variable in class org.deeplearning4j.plot.BarnesHutTsne
 
WorkspaceConfiguration - Class in org.nd4j.linalg.api.memory.conf
This class is configuration bean for MemoryWorkspace.
WorkspaceConfiguration() - Constructor for class org.nd4j.linalg.api.memory.conf.WorkspaceConfiguration
 
workspaceConfiguration - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
 
workspaceConfigurationCache - Static variable in class org.deeplearning4j.clustering.sptree.SpTree
 
workspaceConfigurationCache - Static variable in class org.deeplearning4j.plot.BarnesHutTsne
 
workspaceConfigurationExternal - Static variable in class org.deeplearning4j.clustering.sptree.SpTree
 
workspaceConfigurationExternal - Static variable in class org.deeplearning4j.plot.BarnesHutTsne
 
workspaceConfigurationFeedForward - Variable in class org.deeplearning4j.clustering.sptree.SpTree
 
workspaceConfigurationFeedForward - Variable in class org.deeplearning4j.plot.BarnesHutTsne
 
WorkspaceDeallocatorThread(ReferenceQueue<MemoryWorkspace>) - Constructor for class org.nd4j.linalg.memory.provider.BasicWorkspaceManager.WorkspaceDeallocatorThread
 
WorkspaceDeallocatorThreadName - Static variable in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
Deprecated.
workspaceExternal - Static variable in class org.deeplearning4j.clustering.sptree.SpTree
 
workspaceExternal - Static variable in class org.deeplearning4j.plot.BarnesHutTsne
 
workspaceGenerationId - Variable in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
workspaceId - Variable in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
 
workspaceId - Variable in class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
 
workspaceManagerClazz - Static variable in class org.nd4j.linalg.factory.Nd4j
 
WorkspaceMgr<T extends java.lang.Enum<T>> - Interface in org.nd4j.linalg.workspace
WorkspaceMgr is an interface for managing a set of workspaces, for a set of array types (where the array types are specified by an enumeration).
workspaceMode - Variable in class org.deeplearning4j.clustering.sptree.SpTree
 
WorkspaceMode - Enum in org.deeplearning4j.nn.conf
Workspace mode to use.
workspaceMode - Variable in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
 
workspaceMode(WorkspaceMode) - Method in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
 
workspaceMode - Variable in class org.deeplearning4j.parallelism.ParallelWrapper
 
workspaceMode - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 
workspaceMode - Variable in class org.deeplearning4j.plot.BarnesHutTsne.Builder
 
workspaceMode(WorkspaceMode) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
 
workspaceMode - Variable in class org.deeplearning4j.plot.BarnesHutTsne
 
workspaceMode - Variable in class org.deeplearning4j.spark.parameterserver.conf.SharedTrainingConfiguration
 
workspaceNames - Variable in class org.nd4j.linalg.workspace.BaseWorkspaceMgr
 
workspaces - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
WorkspacesBypassAction - Class in org.nd4j.linalg.env.impl
 
WorkspacesBypassAction() - Constructor for class org.nd4j.linalg.env.impl.WorkspacesBypassAction
 
WorkspacesCloseable - Class in org.nd4j.linalg.workspace
An AutoCloseable for multiple workspaces NOTE: Workspaces are closed in REVERSED order to how they are provided to the costructor; this is to mirror nested workspace use
WorkspacesCloseable(MemoryWorkspace...) - Constructor for class org.nd4j.linalg.workspace.WorkspacesCloseable
 
WorkspacesDebugAction - Class in org.nd4j.linalg.env.impl
 
WorkspacesDebugAction() - Constructor for class org.nd4j.linalg.env.impl.WorkspacesDebugAction
 
WorkspacesShieldDataSetIterator - Class in org.deeplearning4j.datasets.iterator
This iterator detaches/migrates DataSets coming out from backed DataSetIterator, thus providing "safe" DataSets.
WorkspacesShieldDataSetIterator(DataSetIterator) - Constructor for class org.deeplearning4j.datasets.iterator.WorkspacesShieldDataSetIterator
 
WorkspacesSpillAction - Class in org.nd4j.linalg.env.impl
 
WorkspacesSpillAction() - Constructor for class org.nd4j.linalg.env.impl.WorkspacesSpillAction
 
workspaceType - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
 
WorkspaceUtils - Class in org.nd4j.linalg.workspace
Workspace utility methods
wrap(DirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingDecoder
 
wrap(MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingEncoder
 
wrap(DirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.InitFieldsPresentDecoder
 
wrap(MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.InitFieldsPresentEncoder
 
wrap(DirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderDecoder
 
wrap(MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderEncoder
 
wrap(StaticInfoDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
wrap(StaticInfoDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
 
wrap(StaticInfoDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
 
wrap(DirectBuffer, int, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
wrap(StaticInfoEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.HwDeviceInfoGroupEncoder
 
wrap(StaticInfoEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.ModelParamNamesEncoder
 
wrap(StaticInfoEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.SwEnvironmentInfoEncoder
 
wrap(MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
wrap(StorageMetaDataDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder.ExtraMetaDataBytesDecoder
 
wrap(DirectBuffer, int, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
wrap(StorageMetaDataEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder.ExtraMetaDataBytesEncoder
 
wrap(MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
wrap(UpdateDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder.MetaDataBytesDecoder
 
wrap(UpdateDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder
 
wrap(UpdateDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
wrap(UpdateDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.LayerNamesDecoder
 
wrap(UpdateDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
 
wrap(UpdateDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.ParamNamesDecoder
 
wrap(UpdateDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
wrap(UpdateDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder.HistogramCountsDecoder
 
wrap(UpdateDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
wrap(UpdateDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.SummaryStatDecoder
 
wrap(UpdateDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder
 
wrap(DirectBuffer, int, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
wrap(UpdateEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.DataSetMetaDataBytesEncoder.MetaDataBytesEncoder
 
wrap(UpdateEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.DataSetMetaDataBytesEncoder
 
wrap(UpdateEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
 
wrap(UpdateEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.LayerNamesEncoder
 
wrap(UpdateEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.MemoryUseEncoder
 
wrap(UpdateEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.ParamNamesEncoder
 
wrap(UpdateEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
wrap(UpdateEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder.HistogramCountsEncoder
 
wrap(UpdateEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
 
wrap(UpdateEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.SummaryStatEncoder
 
wrap(UpdateEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder
 
wrap(MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
wrap(DirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
 
wrap(MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
 
wrap(DirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Decoder
 
wrap(MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Encoder
 
wrappedBuffer() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
wrappedDataBuffer - Variable in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
wrappedHandler - Static variable in class org.nd4j.jita.constant.CudaConstantHandler
 
wrapper - Variable in class org.deeplearning4j.spark.parameterserver.pw.SharedTrainingWrapper
 
WrapperLayerParamInitializer - Class in org.deeplearning4j.nn.params
 
Writable - Interface in org.datavec.api.writable
A serializable object which implements a simple, efficient, serialization protocol, based on DataInput and DataOutput.
WritableComparable<T> - Interface in org.datavec.api.io
A Writable which is also Comparable.
WritableComparator - Class in org.datavec.api.io
A Comparator for WritableComparables.
WritableComparator(Class<? extends WritableComparable>) - Constructor for class org.datavec.api.io.WritableComparator
Construct for a WritableComparable implementation.
WritableComparator(Class<? extends WritableComparable>, boolean) - Constructor for class org.datavec.api.io.WritableComparator
 
WritableComparator - Interface in org.datavec.api.writable.comparator
 
WritableComparatorHelper() - Constructor for class org.datavec.api.transform.serde.legacy.LegacyMappingHelper.WritableComparatorHelper
 
WritableConverter - Interface in org.datavec.api.io
Convert a writable to another writable (used for say: transitioning dates or categorical to numbers)
writableConverter(WritableConverter) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder
 
WritableConverterException - Exception in org.datavec.api.io.converters
Writable converter exception represents an error for being unable to convert a writable
WritableConverterException() - Constructor for exception org.datavec.api.io.converters.WritableConverterException
 
WritableConverterException(String) - Constructor for exception org.datavec.api.io.converters.WritableConverterException
 
WritableConverterException(String, Throwable) - Constructor for exception org.datavec.api.io.converters.WritableConverterException
 
WritableConverterException(Throwable) - Constructor for exception org.datavec.api.io.converters.WritableConverterException
 
WritableConverterException(String, Throwable, boolean, boolean) - Constructor for exception org.datavec.api.io.converters.WritableConverterException
 
WritableFactory - Class in org.datavec.api.writable
Factory class for creating and saving writable objects to/from DataInput and DataOutput
WritableHelper() - Constructor for class org.datavec.api.transform.serde.legacy.LegacyMappingHelper.WritableHelper
 
WritablesToNDArrayFunction - Class in org.datavec.local.transforms.misc
Function for converting lists of Writables to a single NDArray row vector.
WritablesToNDArrayFunction() - Constructor for class org.datavec.local.transforms.misc.WritablesToNDArrayFunction
 
WritablesToNDArrayFunction - Class in org.datavec.spark.transform.misc
Function for converting lists of Writables to a single NDArray row vector.
WritablesToNDArrayFunction() - Constructor for class org.datavec.spark.transform.misc.WritablesToNDArrayFunction
 
WritablesToStringFunction - Class in org.datavec.local.transforms.misc
Simple function to map an example to a String format (such as CSV) with given quote around the string value if it contains the delimiter.
WritablesToStringFunction(String) - Constructor for class org.datavec.local.transforms.misc.WritablesToStringFunction
 
WritablesToStringFunction - Class in org.datavec.spark.transform.misc
Simple function to map an example to a String format (such as CSV) with given quote around the string value if it contains the delimiter.
WritablesToStringFunction(String) - Constructor for class org.datavec.spark.transform.misc.WritablesToStringFunction
 
WritableToDoubleFunction - Class in org.datavec.spark.transform.analysis
Created by Alex on 4/03/2016.
WritableToDoubleFunction() - Constructor for class org.datavec.spark.transform.analysis.WritableToDoubleFunction
 
WritableToStringFunction - Class in org.datavec.spark.transform.analysis
Created by Alex on 4/03/2016.
WritableToStringFunction() - Constructor for class org.datavec.spark.transform.analysis.WritableToStringFunction
 
WritableType - Enum in org.datavec.api.writable
Created by Alex on 30/05/2017.
WritableUtils - Class in org.datavec.api.io
 
WritableUtils() - Constructor for class org.datavec.api.io.WritableUtils
 
write(OutputStream) - Method in class com.atilika.kuromoji.buffer.StringValueMapBuffer
 
write(String) - Method in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
 
write(OutputStream) - Method in class com.atilika.kuromoji.compile.WordIdMapCompiler
 
write(OutputStream, ByteBuffer) - Static method in class com.atilika.kuromoji.io.ByteBufferIO
 
write(OutputStream) - Method in class com.atilika.kuromoji.trie.DoubleArrayTrie
 
write(DataOutput) - Method in class org.datavec.api.conf.Configuration
 
write(DataOutput) - Method in class org.datavec.api.formats.input.BaseInputFormat
 
write(DataOutput) - Method in class org.datavec.api.formats.input.impl.CSVInputFormat
 
write(DataOutput) - Method in class org.datavec.api.formats.input.impl.LineInputFormat
 
write(DataOutput) - Method in class org.datavec.api.formats.input.impl.ListStringInputFormat
Serialize the fields of this object to out.
write(DataInput, int) - Method in class org.datavec.api.io.DataOutputBuffer
Writes bytes from a DataInput directly into the buffer.
write(List<Writable>) - Method in class org.datavec.api.records.writer.impl.csv.CSVRecordWriter
 
write(List<Writable>) - Method in class org.datavec.api.records.writer.impl.FileRecordWriter
 
write(List<Writable>) - Method in class org.datavec.api.records.writer.impl.LineRecordWriter
 
write(List<Writable>) - Method in class org.datavec.api.records.writer.impl.misc.MatlabRecordWriter
 
write(List<Writable>) - Method in class org.datavec.api.records.writer.impl.misc.SVMLightRecordWriter
Write next record.
write(List<Writable>) - Method in interface org.datavec.api.records.writer.RecordWriter
Write a record
write(List<List<Writable>>) - Method in interface org.datavec.api.records.writer.SequenceRecordWriter
Write a record
write(int) - Method in class org.datavec.api.util.ndarray.DataOutputWrapperStream
 
write(DataOutput) - Method in class org.datavec.api.writable.BooleanWritable
 
write(DataOutput) - Method in class org.datavec.api.writable.BytesWritable
 
write(DataOutput) - Method in class org.datavec.api.writable.ByteWritable
 
write(DataOutput) - Method in class org.datavec.api.writable.DoubleWritable
 
write(DataOutput) - Method in class org.datavec.api.writable.FloatWritable
 
write(DataOutput) - Method in class org.datavec.api.writable.IntWritable
 
write(DataOutput) - Method in class org.datavec.api.writable.LongWritable
 
write(DataOutput) - Method in class org.datavec.api.writable.NDArrayWritable
Serialize array data linearly.
write(DataOutput) - Method in class org.datavec.api.writable.NullWritable
 
write(DataOutput) - Method in class org.datavec.api.writable.Text
serialize write this object to out length uses zero-compressed encoding
write(DataOutput) - Method in interface org.datavec.api.writable.Writable
Serialize the fields of this object to out.
write(List<Writable>) - Method in class org.datavec.arrow.recordreader.ArrowRecordWriter
 
write(DataOutput) - Method in class org.datavec.hadoop.records.reader.mapfile.record.RecordWritable
 
write(DataOutput) - Method in class org.datavec.hadoop.records.reader.mapfile.record.SequenceRecordWritable
 
write(T) - Method in class org.datavec.hadoop.records.writer.mapfile.AbstractMapFileWriter
 
write(DataOutput) - Method in class org.datavec.image.data.ImageWritable
 
write(List<Writable>) - Method in class org.datavec.poi.excel.ExcelRecordWriter
 
write(DataOutput) - Method in class org.datavec.spark.functions.pairdata.BytesPairWritable
 
write(OutputStream) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
write(DataOutputStream) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
write(DataOutputStream) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
 
write(OutputStream) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
Write this buffer to the output stream
write(ObjectOutputStream) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
write(ObjectOutputStream) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArrayProxy
 
write(INDArray, String) - Static method in class org.nd4j.linalg.api.ndarray.NdArrayJSONWriter
Deprecated.
 
write(int, SDVariable) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayV3
 
write(SDVariable, SDVariable) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayV3
 
write(DataOutputStream) - Method in class org.nd4j.linalg.compression.CompressedDataBuffer
 
write(ImagePreProcessingScaler, OutputStream) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.ImagePreProcessingSerializerStrategy
 
write(NormalizerMinMaxScaler, OutputStream) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.MinMaxSerializerStrategy
 
write(MultiNormalizerHybrid, OutputStream) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.MultiHybridSerializerStrategy
Serialize a MultiNormalizerHybrid to a output stream
write(MultiNormalizerMinMaxScaler, OutputStream) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.MultiMinMaxSerializerStrategy
Serialize a MultiNormalizerMinMaxScaler to a output stream
write(MultiNormalizerStandardize, OutputStream) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.MultiStandardizeSerializerStrategy
Serialize a MultiNormalizerStandardize to a output stream
write(Normalizer, File) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerSerializer
Serialize a normalizer to the given file
write(Normalizer, String) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerSerializer
Serialize a normalizer to the given file path
write(Normalizer, OutputStream) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerSerializer
Serialize a normalizer to an output stream
write(T, OutputStream) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerSerializerStrategy
Serialize a normalizer to a output stream
write(NormalizerStandardize, OutputStream) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.StandardizeSerializerStrategy
 
write(OutputStream, INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
Y Write an ndarray to a writer
write(INDArray, DataOutputStream) - Static method in class org.nd4j.linalg.factory.Nd4j
Write an ndarray to the specified outputstream
write(DataOutputStream) - Method in class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
write(OutputStream) - Method in class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
write(double[], DataOutputStream) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
write(float[], DataOutputStream) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
write(int, Nd4jCpu.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArrayList
 
write(int, Nd4jCpu.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArrayList
 
write(int, Nd4jCpu.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArrayList
 
write(int, Nd4jCuda.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArrayList
 
write(int, Nd4jCuda.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArrayList
 
write(int, Nd4jCuda.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArrayList
 
write(Kryo, Output, INDArray) - Method in class org.nd4j.Nd4jSerializer
Writes the bytes for the object to the output.
write(DataOutput) - Method in class org.nd4j.parameterserver.model.SubscriberState
Write the subscriber state to the given DataInput in the order of: isMaster serverState totalUpdates streamId
write(Kryo, Output, AtomicDouble) - Method in class org.nd4j.primitives.AtomicDoubleSerializer
 
writeAnalysisHTMLToFile(String, DataAnalysis, JavaSparkContext) - Static method in class org.datavec.spark.transform.utils.SparkUtils
Write a DataAnalysis to HDFS (or locally) as a HTML file
writeArray(OutputStream, int[]) - Static method in class com.atilika.kuromoji.io.IntegerArrayIO
 
writeArray(OutputStream, String[]) - Static method in class com.atilika.kuromoji.io.StringArrayIO
 
writeArray2D(OutputStream, int[][]) - Static method in class com.atilika.kuromoji.io.IntegerArrayIO
 
writeArray2D(OutputStream, String[][]) - Static method in class com.atilika.kuromoji.io.StringArrayIO
 
writeArrayToDisk(INDArray, File) - Static method in class org.nd4j.serde.binary.BinarySerde
Write an ndarray to disk in binary format
writeArrayToOutputStream(INDArray, OutputStream) - Static method in class org.nd4j.serde.binary.BinarySerde
Write an array to an output stream.
writeAsNumpy(INDArray, File) - Static method in class org.nd4j.linalg.factory.Nd4j
Write an INDArray to a File
writeAsNumpy(INDArray, OutputStream) - Static method in class org.nd4j.linalg.factory.Nd4j
Writes an array to an output stream
writeBatch(List<List<Writable>>) - Method in class org.datavec.api.records.writer.impl.csv.CSVRecordWriter
 
writeBatch(List<List<Writable>>) - Method in class org.datavec.api.records.writer.impl.FileRecordWriter
 
writeBatch(List<List<Writable>>) - Method in interface org.datavec.api.records.writer.RecordWriter
Write a batch of records
writeBatch(List<List<Writable>>) - Method in class org.datavec.arrow.recordreader.ArrowRecordWriter
 
writeBatch(List<List<Writable>>) - Method in class org.datavec.hadoop.records.writer.mapfile.MapFileRecordWriter
 
writeBatch(List<List<Writable>>) - Method in class org.datavec.poi.excel.ExcelRecordWriter
 
writeCompressedByteArray(DataOutput, byte[]) - Static method in class org.datavec.api.io.WritableUtils
 
writeCompressedString(DataOutput, String) - Static method in class org.datavec.api.io.WritableUtils
 
writeCompressedStringArray(DataOutput, String[]) - Static method in class org.datavec.api.io.WritableUtils
 
writeDictionary(String) - Method in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
 
writeEnum(DataOutput, Enum<?>) - Static method in class org.datavec.api.io.WritableUtils
writes String value of enum to DataOutput.
writeFullModel(Word2Vec, String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Deprecated.
Use writeWord2VecModel() method instead
writeGraphVectors(DeepWalk, String) - Static method in class org.deeplearning4j.graph.models.loader.GraphVectorSerializer
 
writeImageToPpm(int[][], String) - Static method in class org.datavec.image.mnist.MnistManager
Writes the given image in the given file using the PPM data format.
writeImageToPpm(int[][], String) - Static method in class org.deeplearning4j.datasets.mnist.MnistManager
Writes the given image in the given file using the PPM data format.
writeInfo(ILearning) - Method in class org.deeplearning4j.rl4j.util.DataManager
 
writeLabel - Variable in class org.datavec.image.recordreader.BaseImageRecordReader
 
writeLane - Variable in class org.nd4j.jita.allocator.impl.AllocationPoint
 
writeMap(String, FeatureInfoMap) - Method in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
 
writeMemoryCrashDump(Model, Throwable) - Static method in class org.deeplearning4j.util.CrashReportingUtil
Generate and write the crash dump to the crash dump root directory (by default, the working directory).
writeModel(String) - Method in class org.ansj.app.crf.Model
将model序列化到硬盘
writeModel(Model, File, boolean) - Static method in class org.deeplearning4j.util.ModelSerializer
Write a model to a file
writeModel(Model, File, boolean, DataNormalization) - Static method in class org.deeplearning4j.util.ModelSerializer
Write a model to a file
writeModel(Model, String, boolean) - Static method in class org.deeplearning4j.util.ModelSerializer
Write a model to a file path
writeModel(Model, OutputStream, boolean) - Static method in class org.deeplearning4j.util.ModelSerializer
Write a model to an output stream
writeModel(Model, OutputStream, boolean, DataNormalization) - Static method in class org.deeplearning4j.util.ModelSerializer
Write a model to an output stream
writeObject(CoOccurrenceWeight<T>) - Method in class org.deeplearning4j.models.glove.count.ASCIICoOccurrenceWriter
 
writeObject(CoOccurrenceWeight<T>) - Method in class org.deeplearning4j.models.glove.count.BinaryCoOccurrenceWriter
 
writeObject(CoOccurrenceWeight<T>) - Method in interface org.deeplearning4j.models.glove.count.CoOccurrenceWriter
This method implementations should write out objects immediately
writeObject(Serializable, OutputStream) - Static method in class org.nd4j.linalg.util.SerializationUtils
Writes the object to the output stream THIS DOES NOT FLUSH THE STREAM
writeObjectToFile(String, Object, JavaSparkContext) - Static method in class org.datavec.spark.transform.utils.SparkUtils
Write an object to HDFS (or local) using default Java object serialization
writeObjectToFile(String, Object, SparkContext) - Static method in class org.datavec.spark.transform.utils.SparkUtils
Write an object to HDFS (or local) using default Java object serialization
writeObjectToFile(String, Object, Configuration) - Static method in class org.datavec.spark.transform.utils.SparkUtils
Write an object to HDFS (or local) using default Java object serialization
writeObjectToFile(String, Object, JavaSparkContext) - Static method in class org.deeplearning4j.spark.util.SparkUtils
Write an object to HDFS (or local) using default Java object serialization
writeObjectToFile(String, Object, SparkContext) - Static method in class org.deeplearning4j.spark.util.SparkUtils
Write an object to HDFS (or local) using default Java object serialization
writeParagraphVectors(ParagraphVectors, File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method saves ParagraphVectors model into compressed zip file
writeParagraphVectors(ParagraphVectors, String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method saves ParagraphVectors model into compressed zip file located at path
writeParagraphVectors(ParagraphVectors, OutputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method saves ParagraphVectors model into compressed zip file and sends it to output stream
writeRecordBatchTo(List<List<Writable>>, Schema, OutputStream) - Static method in class org.datavec.arrow.ArrowConverter
Write the records to the given output stream
writeRecordBatchTo(BufferAllocator, List<List<Writable>>, Schema, OutputStream) - Static method in class org.datavec.arrow.ArrowConverter
Write the records to the given output stream
writers - Variable in class org.datavec.hadoop.records.writer.mapfile.AbstractMapFileWriter
 
writeSchema(String, Schema, JavaSparkContext) - Static method in class org.datavec.spark.transform.utils.SparkUtils
Write a schema to a HDFS (or, local) file in a human-readable format
writeSequenceVectors(SequenceVectors<T>, SequenceElementFactory<T>, String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method saves specified SequenceVectors model to target file path
writeSequenceVectors(SequenceVectors<T>, SequenceElementFactory<T>, File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method saves specified SequenceVectors model to target file
writeSequenceVectors(SequenceVectors<T>, SequenceElementFactory<T>, OutputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method saves specified SequenceVectors model to target OutputStream
writeSparseArray2D(OutputStream, int[][]) - Static method in class com.atilika.kuromoji.io.IntegerArrayIO
 
writeSparseArray2D(OutputStream, String[][]) - Static method in class com.atilika.kuromoji.io.StringArrayIO
 
writeString(DataOutput, String) - Static method in class org.datavec.api.io.WritableUtils
 
writeString(DataOutput, String) - Static method in class org.datavec.api.writable.Text
Write a UTF8 encoded string to out
writeStringArray(DataOutput, String[]) - Static method in class org.datavec.api.io.WritableUtils
 
writeStringToFile(String, String, JavaSparkContext) - Static method in class org.datavec.spark.transform.utils.SparkUtils
Write a String to a file (on HDFS or local) in UTF-8 format
writeStringToFile(String, String, SparkContext) - Static method in class org.datavec.spark.transform.utils.SparkUtils
Write a String to a file (on HDFS or local) in UTF-8 format
writeStringToFile(String, String, Configuration) - Static method in class org.datavec.spark.transform.utils.SparkUtils
Write a String to a file (on HDFS or local) in UTF-8 format
writeStringToFile(String, String, JavaSparkContext) - Static method in class org.deeplearning4j.spark.util.SparkUtils
Write a String to a file (on HDFS or local) in UTF-8 format
writeStringToFile(String, String, SparkContext) - Static method in class org.deeplearning4j.spark.util.SparkUtils
Write a String to a file (on HDFS or local) in UTF-8 format
writeTo(CodedOutputStream) - Method in class onnx.OnnxMlProto3.AttributeProto
 
writeTo(CodedOutputStream) - Method in class onnx.OnnxMlProto3.GraphProto
 
writeTo(CodedOutputStream) - Method in class onnx.OnnxMlProto3.ModelProto
 
writeTo(CodedOutputStream) - Method in class onnx.OnnxMlProto3.NodeProto
 
writeTo(CodedOutputStream) - Method in class onnx.OnnxMlProto3.OperatorSetIdProto
 
writeTo(CodedOutputStream) - Method in class onnx.OnnxMlProto3.StringStringEntryProto
 
writeTo(CodedOutputStream) - Method in class onnx.OnnxMlProto3.TensorProto.Segment
 
writeTo(CodedOutputStream) - Method in class onnx.OnnxMlProto3.TensorProto
 
writeTo(CodedOutputStream) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension
 
writeTo(CodedOutputStream) - Method in class onnx.OnnxMlProto3.TensorShapeProto
 
writeTo(CodedOutputStream) - Method in class onnx.OnnxMlProto3.TypeProto.Map
 
writeTo(CodedOutputStream) - Method in class onnx.OnnxMlProto3.TypeProto.Sequence
 
writeTo(CodedOutputStream) - Method in class onnx.OnnxMlProto3.TypeProto.Tensor
 
writeTo(CodedOutputStream) - Method in class onnx.OnnxMlProto3.TypeProto
 
writeTo(CodedOutputStream) - Method in class onnx.OnnxMlProto3.ValueInfoProto
 
writeTo(CodedOutputStream) - Method in class onnx.OnnxOperatorsProto3.OperatorProto
 
writeTo(CodedOutputStream) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
 
writeTo(CodedOutputStream) - Method in class onnx.OnnxProto3.AttributeProto
 
writeTo(CodedOutputStream) - Method in class onnx.OnnxProto3.GraphProto
 
writeTo(CodedOutputStream) - Method in class onnx.OnnxProto3.ModelProto
 
writeTo(CodedOutputStream) - Method in class onnx.OnnxProto3.NodeProto
 
writeTo(CodedOutputStream) - Method in class onnx.OnnxProto3.OperatorSetIdProto
 
writeTo(CodedOutputStream) - Method in class onnx.OnnxProto3.StringStringEntryProto
 
writeTo(CodedOutputStream) - Method in class onnx.OnnxProto3.TensorProto.Segment
 
writeTo(CodedOutputStream) - Method in class onnx.OnnxProto3.TensorProto
 
writeTo(CodedOutputStream) - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension
 
writeTo(CodedOutputStream) - Method in class onnx.OnnxProto3.TensorShapeProto
 
writeTo(CodedOutputStream) - Method in class onnx.OnnxProto3.TypeProto.Tensor
 
writeTo(CodedOutputStream) - Method in class onnx.OnnxProto3.TypeProto
 
writeTo(CodedOutputStream) - Method in class onnx.OnnxProto3.ValueInfoProto
 
writeTo(OutputStream) - Method in class org.datavec.api.io.DataOutputBuffer
Write to a file stream
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.AllocationDescription
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.AllocationRecord
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.AllocatorMemoryUsed
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.ApiDef.Arg
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.ApiDef.Attr
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.ApiDef.Endpoint
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.ApiDef
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.ApiDefs
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.AttrValue.ListValue
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.AttrValue
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.CostGraphDef.Node
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.CostGraphDef
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.DeviceAttributes
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.DeviceLocality
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.DeviceStepStats
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.FunctionDef
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.FunctionDefLibrary
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.GradientDef
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.GraphDef
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInput
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.GraphTransferInfo
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.HistogramProto
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.KernelDef
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.MemoryLogRawAllocation
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.MemoryLogStep
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.MemoryLogTensorOutput
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.MemoryStats
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.NameAttrList
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.NodeDef
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.NodeExecStats
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.NodeOutput
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.OpDef.ArgDef
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.OpDef.AttrDef
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.OpDef
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.OpDeprecation
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.OpList
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.ReaderBaseState
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.ResourceHandleProto
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.SaveSliceInfoDef
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.StepStats
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.Summary.Audio
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.Summary.Image
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.Summary.Value
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.Summary
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.SummaryDescription
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.SummaryMetadata.PluginData
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.SummaryMetadata
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.TensorDescription
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.TensorProto
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.TensorShapeProto.Dim
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.TensorShapeProto
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.TensorSliceProto.Extent
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.TensorSliceProto
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.VariableDef
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.VariantTensorDataProto
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.framework.VersionDef
 
writeTo(CodedOutputStream) - Method in class org.tensorflow.util.IteratorStateMetadata
 
writeTo(CodedOutputStream) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault
 
writeTo(CodedOutputStream) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename
 
writeTo(CodedOutputStream) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
 
writeTo(CodedOutputStream) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides
 
writeTsneFormat(Glove, INDArray, File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Write the tsne format
writeTsneFormat(Word2Vec, INDArray, File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Write the tsne format
writeTxt(INDArray, String, String, int) - Static method in class org.nd4j.linalg.factory.Nd4j
Deprecated.
custom col separators are no longer supported; uses ","
writeTxt(INDArray, String, int) - Static method in class org.nd4j.linalg.factory.Nd4j
Deprecated.
Precision is no longer used. Defaults to scientific notation with 18 digits after the decimal Use Nd4j.writeTxt(INDArray, String)
writeTxt(INDArray, String, String) - Static method in class org.nd4j.linalg.factory.Nd4j
Deprecated.
custom col and higher dimension separators are no longer supported; uses "," Use Nd4j.writeTxt(INDArray, String)
writeTxt(INDArray, String) - Static method in class org.nd4j.linalg.factory.Nd4j
Write NDArray to a text file
writeTxtString(INDArray, OutputStream, String, int) - Static method in class org.nd4j.linalg.factory.Nd4j
Deprecated.
custom col separators are no longer supported; uses ","
writeTxtString(INDArray, OutputStream, int) - Static method in class org.nd4j.linalg.factory.Nd4j
Deprecated.
precision can no longer be specified. The array is written in scientific notation. Use Nd4j.writeTxtString(INDArray, OutputStream)
writeTxtString(INDArray, OutputStream, String) - Static method in class org.nd4j.linalg.factory.Nd4j
Deprecated.
column separator can longer be specified; Uses "," Use Nd4j.writeTxtString(INDArray, OutputStream) instead
writeTxtString(INDArray, OutputStream) - Static method in class org.nd4j.linalg.factory.Nd4j
Write ndarray as text to output stream
writeType(DataOutput) - Method in class org.datavec.api.conf.Configuration
 
writeType(DataOutput) - Method in class org.datavec.api.formats.input.BaseInputFormat
 
writeType(DataOutput) - Method in class org.datavec.api.formats.input.impl.ListStringInputFormat
 
writeType(DataOutput) - Method in class org.datavec.api.writable.BooleanWritable
 
writeType(DataOutput) - Method in class org.datavec.api.writable.BytesWritable
 
writeType(DataOutput) - Method in class org.datavec.api.writable.ByteWritable
 
writeType(DataOutput) - Method in class org.datavec.api.writable.DoubleWritable
 
writeType(DataOutput) - Method in class org.datavec.api.writable.FloatWritable
 
writeType(DataOutput) - Method in class org.datavec.api.writable.IntWritable
 
writeType(DataOutput) - Method in class org.datavec.api.writable.LongWritable
 
writeType(DataOutput) - Method in class org.datavec.api.writable.NDArrayWritable
 
writeType(DataOutput) - Method in class org.datavec.api.writable.NullWritable
 
writeType(DataOutput) - Method in class org.datavec.api.writable.Text
 
writeType(DataOutput) - Method in interface org.datavec.api.writable.Writable
Write the type (a single short value) to the DataOutput.
writeType(DataOutput) - Method in class org.datavec.image.data.ImageWritable
 
writeVInt(DataOutput, int) - Static method in class org.datavec.api.io.WritableUtils
Serializes an integer to a binary stream with zero-compressed encoding.
writeVInt(DataOutput, int) - Static method in class org.datavec.api.records.IOUtils
Serializes an int to a binary stream with zero-compressed encoding.
writeVLong(DataOutput, long) - Static method in class org.datavec.api.io.WritableUtils
Serializes a long to a binary stream with zero-compressed encoding.
writeVLong(DataOutput, long) - Static method in class org.datavec.api.records.IOUtils
Serializes a long to a binary stream with zero-compressed encoding.
writeVocabCache(VocabCache<VocabWord>, File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method saves vocab cache to provided File.
writeVocabCache(VocabCache<VocabWord>, OutputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method saves vocab cache to provided OutputStream.
writeWithType(Writable, DataOutput) - Method in class org.datavec.api.writable.WritableFactory
A convenience method for writing a given Writable object to a DataOutput.
writeWord2VecModel(Word2Vec, File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method saves Word2Vec model into compressed zip file and sends it to output stream PLEASE NOTE: This method saves FULL model, including syn0 AND syn1
writeWord2VecModel(Word2Vec, String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method saves Word2Vec model into compressed zip file and sends it to output stream PLEASE NOTE: This method saves FULL model, including syn0 AND syn1
writeWord2VecModel(Word2Vec, OutputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method saves Word2Vec model into compressed zip file and sends it to output stream PLEASE NOTE: This method saves FULL model, including syn0 AND syn1
writeWordIds(String) - Method in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
 
writeWordVectors(WeightLookupTable<T>, String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method writes word vectors to the given path.
writeWordVectors(WeightLookupTable<T>, File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method writes word vectors to the given file.
writeWordVectors(WeightLookupTable<T>, OutputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method writes word vectors to the given OutputStream.
writeWordVectors(ParagraphVectors, File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Deprecated.
writeWordVectors(ParagraphVectors, String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Deprecated.
writeWordVectors(Glove, File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method saves GloVe model to the given output stream.
writeWordVectors(Glove, String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method saves GloVe model to the given output stream.
writeWordVectors(Glove, OutputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method saves GloVe model to the given OutputStream
writeWordVectors(ParagraphVectors, OutputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Deprecated.
writeWordVectors(InMemoryLookupTable, InMemoryLookupCache, String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
writeWordVectors(Word2Vec, String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Deprecated.
writeWordVectors(Word2Vec, File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Deprecated.
writeWordVectors(Word2Vec, OutputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Deprecated.
writeWordVectors(Word2Vec, BufferedWriter) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Deprecated.
writeWritablesToFile(String, String, List<List<Writable>>, JavaSparkContext) - Static method in class org.datavec.spark.transform.utils.SparkUtils
Wlite a set of writables (or, sequence) to HDFS (or, locally).
writeXml(OutputStream) - Method in class org.datavec.api.conf.Configuration
Write out the non-default properties in this configuration to the give OutputStream.
WRONG - Static variable in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
 
wrt() - Method in class org.nd4j.linalg.api.ops.BaseGradientOp
The array to the gradient with respect to
wrt() - Method in interface org.nd4j.linalg.api.ops.GradientOp
The array to the gradient with respect to
WS_ALL_LAYERS_ACT - Static variable in class org.deeplearning4j.nn.graph.ComputationGraph
Workspace for storing all layers' activations - used only to store activations (layer inputs) as part of backprop Not used for inference
WS_ALL_LAYERS_ACT - Static variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Workspace for storing all layers' activations - used only to store activations (layer inputs) as part of backprop Not used for inference
WS_ALL_LAYERS_ACT_CONFIG - Static variable in class org.deeplearning4j.nn.graph.ComputationGraph
 
WS_ALL_LAYERS_ACT_CONFIG - Static variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
WS_LAYER_ACT_1 - Static variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Next 2 workspaces: used for: (a) Inference: holds activations for one layer only (b) Backprop: holds activation gradients for one layer only In both cases, they are opened and closed on every second layer
WS_LAYER_ACT_2 - Static variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
WS_LAYER_ACT_X_CONFIG - Variable in class org.deeplearning4j.nn.graph.ComputationGraph
 
WS_LAYER_ACT_X_CONFIG - Variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
WS_LAYER_WORKING_MEM - Static variable in class org.deeplearning4j.nn.graph.ComputationGraph
Workspace for working memory for a single layer: forward pass and backward pass Note that this is opened/closed once per op (activate/backpropGradient call)
WS_LAYER_WORKING_MEM - Static variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Workspace for working memory for a single layer: forward pass and backward pass Note that this is opened/closed once per op (activate/backpropGradient call)
WS_LAYER_WORKING_MEM_CONFIG - Variable in class org.deeplearning4j.nn.graph.ComputationGraph
 
WS_LAYER_WORKING_MEM_CONFIG - Variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
WS_RNN_LOOP_WORKING_MEM - Static variable in class org.deeplearning4j.nn.graph.ComputationGraph
Workspace for working memory in RNNs - opened and closed once per RNN time step
WS_RNN_LOOP_WORKING_MEM - Static variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Workspace for working memory in RNNs - opened and closed once per RNN time step
WS_RNN_LOOP_WORKING_MEM_CONFIG - Static variable in class org.deeplearning4j.nn.graph.ComputationGraph
 
WS_RNN_LOOP_WORKING_MEM_CONFIG - Static variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
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