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T

t - Variable in class org.nd4j.linalg.util.AtomicThrowable
 
T_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.AttributeProto
 
T_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.AttributeProto
 
table(String[][]) - Method in class org.datavec.api.transform.ui.components.RenderableComponentTable.Builder
 
table - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
table - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
 
table - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
 
table - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
 
table(INDArray) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam.Builder
Deprecated.
 
TABLE - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
TABLE - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecVariables
Deprecated.
 
tableId - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
tableName - Variable in class org.nd4j.jdbc.loader.impl.BaseLoader
 
tack() - Method in class org.nd4j.jita.allocator.impl.NestedPoint
 
tackDevice() - Method in class org.nd4j.jita.allocator.impl.AllocationPoint
 
tackRequests - Variable in class org.nd4j.jita.allocator.concurrency.AtomicState
 
TAD_THRESHOLD - Static variable in class org.nd4j.nativeblas.Nd4jCpu
 
TAD_THRESHOLD() - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
TAD_THRESHOLD - Static variable in class org.nd4j.nativeblas.Nd4jCuda
 
TAD_THRESHOLD() - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
tadCache - Variable in class org.nd4j.jita.allocator.tad.DeviceTADManager
 
TadDescriptor - Class in org.nd4j.linalg.cache
This is utility class, made to compare TADs for caching purposes.
TadDescriptor(INDArray, int[]) - Constructor for class org.nd4j.linalg.cache.TadDescriptor
Pass in an ndarray to get the databuffer and the appropriate dimensions
tadElementWiseStride(LongPointer, IntPointer, int) - Static method in class org.nd4j.nativeblas.Nd4jCpu
Tad element wise stride: given the inner most dimension (the sorted dimension of the last) the element wise stride of the tad (disregarding order) is the last dimension's stride.
tadElementWiseStride(LongBuffer, IntBuffer, int) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
tadElementWiseStride(long[], int[], int) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
tadElementWiseStride(LongPointer, IntPointer, int) - Static method in class org.nd4j.nativeblas.Nd4jCuda
Tad element wise stride: given the inner most dimension (the sorted dimension of the last) the element wise stride of the tad (disregarding order) is the last dimension's stride.
tadElementWiseStride(LongBuffer, IntBuffer, int) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
tadElementWiseStride(long[], int[], int) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
tadForBlockIndex(int, int, int) - Static method in class org.nd4j.nativeblas.Nd4jCpu
Returns the tensor along dimension for the given block index
tadForBlockIndex(int, int, int) - Static method in class org.nd4j.nativeblas.Nd4jCuda
Returns the tensor along dimension for the given block index
tadIndex(int, int, int) - Static method in class org.nd4j.nativeblas.Nd4jCpu
Given an linear index, element wise stride and the length of each tad map a linear index to a tad
tadIndex(int, int, int) - Static method in class org.nd4j.nativeblas.Nd4jCuda
Given an linear index, element wise stride and the length of each tad map a linear index to a tad
tadIndexForLinear(int, int) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
tadIndexForLinear(int, int) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
tadLength(LongPointer, IntPointer, int) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
tadLength(LongBuffer, IntBuffer, int) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
tadLength(long[], int[], int) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
tadLength(LongPointer, IntPointer, int) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
tadLength(LongBuffer, IntBuffer, int) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
tadLength(long[], int[], int) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
TADManager - Interface in org.nd4j.linalg.cache
This interface describes TAD caching.
tadManager - Static variable in class org.nd4j.linalg.jcublas.ops.executioner.CudaExecutioner
 
tadOnlyShapeInfo(LongPointer, IntPointer, int, LongPointer, LongPointer) - Method in class org.nd4j.nativeblas.NativeOps
 
tadOnlyShapeInfo(LongPointer, IntPointer, int, LongPointer, LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
tadOnlyShapeInfo(LongBuffer, IntBuffer, int, LongBuffer, LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
tadOnlyShapeInfo(long[], int[], int, long[], long[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
tadOnlyShapeInfo(LongPointer, IntPointer, int, LongPointer, LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
tadOnlyShapeInfo(LongBuffer, IntBuffer, int, LongBuffer, LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
tadOnlyShapeInfo(long[], int[], int, long[], long[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
tadsPerBlock(int, int) - Static method in class org.nd4j.nativeblas.Nd4jCpu
Computes the number of tads per block
tadsPerBlock(int, int) - Static method in class org.nd4j.nativeblas.Nd4jCuda
Computes the number of tads per block
tadsPerReduceIndex(int, int) - Static method in class org.nd4j.nativeblas.Nd4jCpu
Computes the number of tads per reduce index for the reduction tad.
tadsPerReduceIndex(int, int) - Static method in class org.nd4j.nativeblas.Nd4jCuda
Computes the number of tads per reduce index for the reduction tad.
TAG_FIELD_NUMBER - Static variable in class org.tensorflow.framework.Summary.Value
 
TAG_NUM - Static variable in class org.ansj.app.crf.Config
 
TagContent - Class in org.ansj.app.summary
关键字标红,
TagContent(String, String) - Constructor for class org.ansj.app.summary.TagContent
 
tagContent(Summary) - Method in class org.ansj.app.summary.TagContent
 
tagContent(List<Keyword>, String) - Method in class org.ansj.app.summary.TagContent
 
tagger - Variable in class org.deeplearning4j.models.sequencevectors.iterators.AbstractSequenceIterator
 
tagLocation(INDArray, AffinityManager.Location) - Method in class org.nd4j.jita.concurrency.CudaAffinityManager
This method marks given INDArray as actual in specific location (either host, device, or both)
tagLocation(DataBuffer, AffinityManager.Location) - Method in class org.nd4j.jita.concurrency.CudaAffinityManager
This method marks given DataBuffer as actual in specific location (either host, device, or both)
tagLocation(INDArray, AffinityManager.Location) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager
This method tags specific INDArray as "recent" on specified location
tagLocation(DataBuffer, AffinityManager.Location) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager
This method tags specific DataBuffer as "recent" on specified location
tagLocation(INDArray, AffinityManager.Location) - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager
 
tagLocation(DataBuffer, AffinityManager.Location) - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager
 
tagOutOfScopeUse() - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspace
This method temporary disables this workspace
tagOutOfScopeUse() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
 
tagOutOfScopeUse() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
 
tagRate(int, int) - Method in class org.ansj.app.crf.Model
tag转移率
tags() - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
tagScope - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
 
tagScore - Variable in class org.ansj.app.crf.pojo.Element
 
tailor2d(DataSet, boolean) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil
 
tailor2d(INDArray, INDArray) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil
 
tailor3d2d(DataSet, boolean) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil
Deprecated. 
tailor3d2d(INDArray, INDArray) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil
 
tailor4d2d(DataSet, boolean) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil
 
tailor4d2d(INDArray) - Static method in class org.nd4j.linalg.dataset.api.DataSetUtil
 
take() - Method in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
TakeCover - Class in org.deeplearning4j.rl4j.mdp.vizdoom
 
TakeCover(boolean) - Constructor for class org.deeplearning4j.rl4j.mdp.vizdoom.TakeCover
 
takeFirstColumns(String...) - Method in class org.datavec.api.transform.reduce.Reducer.Builder
Reduce the specified columns by taking the first value
takeLastColumns(String...) - Method in class org.datavec.api.transform.reduce.Reducer.Builder
Reduce the specified columns by taking the last value
takeMessage() - Method in class org.nd4j.parameterserver.distributed.transport.BaseTransport
This method takes 1 message from "incoming messages" queue, blocking if queue is empty
takeMessage() - Method in class org.nd4j.parameterserver.distributed.transport.LocalTransport
Deprecated.
This method takes 1 message from "incoming messages" queue, blocking if queue is empty
takeMessage() - Method in interface org.nd4j.parameterserver.distributed.transport.Transport
This method takes 1 message from "incoming messages" queue, blocking if queue is empty
tan(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
tan(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Elementwise tangent operation: out = tan(x)
tan(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Elementwise tangent operation: out = tan(x)
Tan - Class in org.nd4j.linalg.api.ops.impl.transforms
Tanh elementwise function
Tan(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Tan
 
Tan() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Tan
 
Tan(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Tan
 
Tan(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Tan
 
Tan(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Tan
 
Tan(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Tan
 
Tan(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Tan
 
tan(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
Element-wise tan function.
tan(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
Element-wise tan function.
TanDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms
Tan Derivative elementwise function
TanDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.TanDerivative
 
TanDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.TanDerivative
 
TanDerivative(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.TanDerivative
 
TanDerivative(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.TanDerivative
 
TanDerivative(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.TanDerivative
 
TanDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.TanDerivative
 
tanh(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
tanh(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Elementwise tanh (hyperbolic tangent) operation: out = tanh(x)
tanh(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Elementwise tanh (hyperbolic tangent) operation: out = tanh(x)
Tanh - Class in org.nd4j.linalg.api.ops.impl.transforms
Tanh elementwise function
Tanh(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Tanh
 
Tanh(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Tanh
 
Tanh(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Tanh
 
Tanh() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Tanh
 
Tanh(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Tanh
 
Tanh(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Tanh
 
Tanh(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Tanh
 
Tanh(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Tanh
 
Tanh(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Tanh
 
tanh(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
Tanh function
tanh(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
Tanh function
tanhDerivative(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
TanhDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient
 
TanhDerivative(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.TanhDerivative
 
TanhDerivative(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.TanhDerivative
 
TanhDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.TanhDerivative
 
TanhDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.TanhDerivative
 
TanhDerivative(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.TanhDerivative
 
TanhDerivative(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.TanhDerivative
 
TanhDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.TanhDerivative
 
TanhDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms
Tanh derivative
TanhDerivative(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.TanhDerivative
 
TanhDerivative(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.TanhDerivative
 
TanhDerivative(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.TanhDerivative
 
TanhDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.TanhDerivative
 
TanhDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.TanhDerivative
 
TanhDerivative(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.TanhDerivative
 
TanhDerivative(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.TanhDerivative
 
TanhDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.TanhDerivative
 
tanhRational(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
tanhRationalDerivative(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
tanhRectified(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
tanhRectifiedDerivative(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
target - Variable in class org.deeplearning4j.models.glove.AbstractCoOccurrences.Builder
 
targetBoolean - Variable in class org.nd4j.linalg.api.ops.impl.controlflow.If
 
targetBoolean - Variable in class org.nd4j.linalg.api.ops.impl.controlflow.While
 
targetDqnOutput(INDArray) - Method in class org.deeplearning4j.rl4j.learning.sync.qlearning.QLearning
 
targetFile(String) - Method in class org.deeplearning4j.models.glove.AbstractCoOccurrences.Builder
Path to save cooccurrence map after construction.
targetFile(File) - Method in class org.deeplearning4j.models.glove.AbstractCoOccurrences.Builder
Path to save cooccurrence map after construction.
targetFile - Variable in class org.deeplearning4j.models.glove.AbstractCoOccurrences
 
targetId - Variable in class org.nd4j.parameterserver.distributed.messages.BaseVoidMessage
 
targetId - Variable in class org.nd4j.parameterserver.distributed.messages.Frame
 
targetIndex - Variable in class org.nd4j.parameterserver.distributed.logic.routing.InterleavedRouter
 
targetIndex - Variable in class org.nd4j.parameterserver.distributed.logic.routing.StaticRouter
 
targetIndex - Variable in class org.nd4j.parameterserver.distributed.transport.BaseTransport
 
TARGETMAP_FILENAME - Static variable in class com.atilika.kuromoji.dict.TokenInfoDictionary
 
targetMessageClass() - Method in class org.deeplearning4j.spark.parameterserver.networking.SilentTrainingDriver
 
targetMessageClass() - Method in class org.nd4j.parameterserver.distributed.training.impl.CbowTrainer
 
targetMessageClass() - Method in class org.nd4j.parameterserver.distributed.training.impl.SkipGramTrainer
 
targetMessageClass() - Method in interface org.nd4j.parameterserver.distributed.training.TrainingDriver
 
targetShape(INDArray, double) - Static method in class org.nd4j.linalg.dimensionalityreduction.RandomProjection
Compute the target shape of a suitable projection matrix
targetShape(INDArray, int) - Static method in class org.nd4j.linalg.dimensionalityreduction.RandomProjection
Compute the target shape of a suitable projection matrix
targetShapeForDimOrder(long[], long[]) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.core.KerasReshape
 
targetVariable() - Method in interface org.nd4j.linalg.env.EnvironmentalAction
This method returns target environemt variable for this action
targetVariable() - Method in class org.nd4j.linalg.env.impl.ConcurrencyAction
 
targetVariable() - Method in class org.nd4j.linalg.env.impl.DebugAction
 
targetVariable() - Method in class org.nd4j.linalg.env.impl.FallbackAction
 
targetVariable() - Method in class org.nd4j.linalg.env.impl.NDArrayUnpackAction
 
targetVariable() - Method in class org.nd4j.linalg.env.impl.OmpNumThreadsAction
 
targetVariable() - Method in class org.nd4j.linalg.env.impl.VerboseAction
 
targetVariable() - Method in class org.nd4j.linalg.env.impl.WorkspacesBypassAction
 
targetVariable() - Method in class org.nd4j.linalg.env.impl.WorkspacesDebugAction
 
targetVariable() - Method in class org.nd4j.linalg.env.impl.WorkspacesSpillAction
 
tArgs() - Method in class org.nd4j.linalg.api.ops.custom.ScatterUpdate
 
tArgs() - Method in interface org.nd4j.linalg.api.ops.CustomOp
 
tArgs() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
 
tArgs() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.If
 
tArgs() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.While
 
tArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMCellConfiguration
 
tArguments - Variable in class org.nd4j.linalg.api.ops.DynamicCustomOp
 
Task - Class in org.nd4j.linalg.heartbeat.reports
 
Task() - Constructor for class org.nd4j.linalg.heartbeat.reports.Task
 
Task.ArchitectureType - Enum in org.nd4j.linalg.heartbeat.reports
 
Task.NetworkType - Enum in org.nd4j.linalg.heartbeat.reports
 
taskByModel(Model) - Static method in class org.deeplearning4j.util.ModelSerializer
 
TaskCreator - Interface in org.deeplearning4j.arbiter.optimize.api
The TaskCreator is used to take a candidate configuration, data provider and score function, and create something that can be executed as a Callable
TaskCreatorProvider - Class in org.deeplearning4j.arbiter.optimize.api
 
TaskCreatorProvider() - Constructor for class org.deeplearning4j.arbiter.optimize.api.TaskCreatorProvider
 
taskId - Variable in class org.nd4j.parameterserver.distributed.messages.BaseVoidMessage
 
taskId - Variable in class org.nd4j.parameterserver.distributed.messages.Frame
 
taskId - Variable in class org.nd4j.parameterserver.distributed.training.chains.CbowChain
 
taskId - Variable in class org.nd4j.parameterserver.distributed.training.chains.SkipGramChain
 
TaskListener - Interface in org.deeplearning4j.arbiter.task
TaskListener: can be used to preprocess and post process a model (MultiLayerNetwork or ComputationGraph) before/after training, in a MultiLayerNetworkTaskCreator or ComputationGraphTaskCreator
TaskUtils - Class in org.nd4j.linalg.heartbeat.utils
 
tbmv(char, char, char, char, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
syr2 performs a rank-2 update of an n-by-n symmetric matrix a: a := alpha*x*y' + alpha*y*x' + a.
tbmv(char, char, char, char, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel2
 
tbmv(char, char, char, char, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
syr2 performs a rank-2 update of an n-by-n symmetric matrix a: a := alpha*x*y' + alpha*y*x' + a.
tbpttBackLength - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
 
tbpttBackLength - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
 
tbpttBackLength - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
 
tbpttBackLength - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration
 
tbpttBackLength(int) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
When doing truncated BPTT: how many steps of backward should we do?
Only applicable when doing backpropType(BackpropType.TruncatedBPTT)
This is the k2 parameter on pg23 of http://www.cs.utoronto.ca/~ilya/pubs/ilya_sutskever_phd_thesis.pdf
tbpttBackLength - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
tbpttBackpropGradient(INDArray, int, LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.api.layers.RecurrentLayer
Truncated BPTT equivalent of Layer.backpropGradient().
tbpttBackpropGradient(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
tbpttBackpropGradient(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.GravesBidirectionalLSTM
 
tbpttBackpropGradient(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.GravesLSTM
Deprecated.
 
tbpttBackpropGradient(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.LSTM
 
tbpttBackpropGradient(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.SimpleRnn
 
tBPTTBackwardLength(int) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
When doing truncated BPTT: how many steps of backward should we do?
Only applicable when doing backpropType(BackpropType.TruncatedBPTT)
This is the k2 parameter on pg23 of http://www.cs.utoronto.ca/~ilya/pubs/ilya_sutskever_phd_thesis.pdf
tBPTTBackwardLength(int) - Method in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
When doing truncated BPTT: how many steps of backward should we do?
Only applicable when doing backpropType(BackpropType.TruncatedBPTT)
This is the k2 parameter on pg23 of http://www.cs.utoronto.ca/~ilya/pubs/ilya_sutskever_phd_thesis.pdf
tbpttBwdLength(int) - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace.Builder
 
tbpttBwdLength(ParameterSpace<Integer>) - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace.Builder
 
tbpttBwdLength - Variable in class org.deeplearning4j.arbiter.BaseNetworkSpace
 
tBPTTForwardLength(int) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
When doing truncated BPTT: how many steps of forward pass should we do before doing (truncated) backprop?
Only applicable when doing backpropType(BackpropType.TruncatedBPTT)
Typically tBPTTForwardLength parameter is same as the tBPTTBackwardLength parameter, but may be larger than it in some circumstances (but never smaller)
Ideally your training data time series length should be divisible by this This is the k1 parameter on pg23 of http://www.cs.utoronto.ca/~ilya/pubs/ilya_sutskever_phd_thesis.pdf
tBPTTForwardLength(int) - Method in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
When doing truncated BPTT: how many steps of forward pass should we do before doing (truncated) backprop?
Only applicable when doing backpropType(BackpropType.TruncatedBPTT)
Typically tBPTTForwardLength parameter is same as the tBPTTBackwardLength parameter, but may be larger than it in some circumstances (but never smaller)
Ideally your training data time series length should be divisible by this This is the k1 parameter on pg23 of http://www.cs.utoronto.ca/~ilya/pubs/ilya_sutskever_phd_thesis.pdf
tbpttFwdLength(int) - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace.Builder
 
tbpttFwdLength(ParameterSpace<Integer>) - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace.Builder
 
tbpttFwdLength - Variable in class org.deeplearning4j.arbiter.BaseNetworkSpace
 
tbpttFwdLength - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
 
tbpttFwdLength - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
 
tbpttFwdLength - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
 
tbpttFwdLength - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration
 
tbpttFwdLength(int) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
When doing truncated BPTT: how many steps of forward pass should we do before doing (truncated) backprop?
Only applicable when doing backpropType(BackpropType.TruncatedBPTT)
Typically tBPTTForwardLength parameter is same as the tBPTTBackwardLength parameter, but may be larger than it in some circumstances (but never smaller)
Ideally your training data time series length should be divisible by this This is the k1 parameter on pg23 of http://www.cs.utoronto.ca/~ilya/pubs/ilya_sutskever_phd_thesis.pdf
tbpttFwdLength - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
tBPTTLength(int) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
When doing truncated backpropagation through time (tBPTT): how many steps should we do?
Only applicable when doing backpropType(BackpropType.TruncatedBPTT)
See: http://www.cs.utoronto.ca/~ilya/pubs/ilya_sutskever_phd_thesis.pdf
tBPTTLength(int) - Method in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
When doing truncated BPTT: how many steps should we do?
Only applicable when doing backpropType(BackpropType.TruncatedBPTT)
See: http://www.cs.utoronto.ca/~ilya/pubs/ilya_sutskever_phd_thesis.pdf
tBpttStateMap - Variable in class org.deeplearning4j.nn.layers.recurrent.BaseRecurrentLayer
State map for use specifically in truncated BPTT training.
tbpttWindowSize - Variable in class org.nd4j.linalg.dataset.api.preprocessor.classimbalance.BaseUnderSamplingPreProcessor
 
tbsv(char, char, char, char, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
?tbsv solves a system of linear equations whose coefficients are in a triangular band matrix.
tbsv(char, char, char, char, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel2
 
tbsv(char, char, char, char, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
?tbsv solves a system of linear equations whose coefficients are in a triangular band matrix.
TDigestDeserializer - Class in org.datavec.api.transform.analysis.json
 
TDigestDeserializer() - Constructor for class org.datavec.api.transform.analysis.json.TDigestDeserializer
 
TDigestSerializer - Class in org.datavec.api.transform.analysis.json
 
TDigestSerializer() - Constructor for class org.datavec.api.transform.analysis.json.TDigestSerializer
 
tear(INDArray, int...) - Method in class org.nd4j.linalg.cpu.nativecpu.CpuNDArrayFactory
 
tear(INDArray, int...) - Method in class org.nd4j.linalg.cpu.nativecpu.CpuSparseNDArrayFactory
 
tear(INDArray, int...) - Static method in class org.nd4j.linalg.factory.Nd4j
This method does the opposite to pile/vstack/hstack - it returns independent TAD copies along given dimensions
tear(INDArray, int...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
 
tear(INDArray, int...) - Method in class org.nd4j.linalg.jcublas.JCublasNDArrayFactory
 
tear(INDArray, int...) - Method in class org.nd4j.linalg.jcublas.JCusparseNDArrayFactory
 
tearDouble(PointerPointer, DoublePointer, LongPointer, PointerPointer, LongPointer, LongPointer, LongPointer) - Method in class org.nd4j.nativeblas.NativeOps
 
tearDouble(PointerPointer, DoublePointer, LongPointer, PointerPointer, LongPointer, LongPointer, LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
This method takes single N-dimensional tensor, and copies its TADs to target arrays
tearDouble(PointerPointer, DoubleBuffer, LongBuffer, PointerPointer, LongBuffer, LongBuffer, LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
tearDouble(PointerPointer, double[], long[], PointerPointer, long[], long[], long[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
tearDouble(PointerPointer, DoublePointer, LongPointer, PointerPointer, LongPointer, LongPointer, LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
This method takes single N-dimensional tensor, and copies its TADs to target arrays
tearDouble(PointerPointer, DoubleBuffer, LongBuffer, PointerPointer, LongBuffer, LongBuffer, LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
tearDouble(PointerPointer, double[], long[], PointerPointer, long[], long[], long[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
tearFloat(PointerPointer, FloatPointer, LongPointer, PointerPointer, LongPointer, LongPointer, LongPointer) - Method in class org.nd4j.nativeblas.NativeOps
 
tearFloat(PointerPointer, FloatPointer, LongPointer, PointerPointer, LongPointer, LongPointer, LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
This method takes single N-dimensional tensor, and copies its TADs to target arrays
tearFloat(PointerPointer, FloatBuffer, LongBuffer, PointerPointer, LongBuffer, LongBuffer, LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
tearFloat(PointerPointer, float[], long[], PointerPointer, long[], long[], long[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
tearFloat(PointerPointer, FloatPointer, LongPointer, PointerPointer, LongPointer, LongPointer, LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
This method takes single N-dimensional tensor, and copies its TADs to target arrays
tearFloat(PointerPointer, FloatBuffer, LongBuffer, PointerPointer, LongBuffer, LongBuffer, LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
tearFloat(PointerPointer, float[], long[], PointerPointer, long[], long[], long[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
tearHalf(PointerPointer, ShortPointer, LongPointer, PointerPointer, LongPointer, LongPointer, LongPointer) - Method in class org.nd4j.nativeblas.NativeOps
 
tearHalf(PointerPointer, ShortPointer, LongPointer, PointerPointer, LongPointer, LongPointer, LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
This method takes single N-dimensional tensor, and copies its TADs to target arrays
tearHalf(PointerPointer, ShortBuffer, LongBuffer, PointerPointer, LongBuffer, LongBuffer, LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
tearHalf(PointerPointer, short[], long[], PointerPointer, long[], long[], long[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
tearHalf(PointerPointer, ShortPointer, LongPointer, PointerPointer, LongPointer, LongPointer, LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
This method takes single N-dimensional tensor, and copies its TADs to target arrays
tearHalf(PointerPointer, ShortBuffer, LongBuffer, PointerPointer, LongBuffer, LongBuffer, LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
tearHalf(PointerPointer, short[], long[], PointerPointer, long[], long[], long[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
tempFile - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
 
tempFilePath - Variable in class org.nd4j.linalg.api.memory.conf.WorkspaceConfiguration
Path to file to be memory-mapped
template - Variable in class org.deeplearning4j.optimize.listeners.callbacks.ModelSavingCallback
 
TEMPLATE_ID - Static variable in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
TEMPLATE_ID - Static variable in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
TEMPLATE_ID - Static variable in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
TEMPLATE_ID - Static variable in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
TEMPLATE_ID - Static variable in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
TEMPLATE_ID - Static variable in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
templateId() - Method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderDecoder
 
templateId(int) - Method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderEncoder
 
templateIdMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderDecoder
 
templateIdMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderEncoder
 
templateIdMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderDecoder
 
templateIdMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderEncoder
 
templateIdNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderDecoder
 
templateIdNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderEncoder
 
TEMPORARY_MEMORY_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef.Node
 
Tensor1DStats() - Constructor for class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil.Tensor1DStats
 
TENSOR_CONTENT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorProto
 
TENSOR_DESCRIPTION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NodeOutput
 
TENSOR_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AttrValue.ListValue
 
TENSOR_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AttrValue
 
TENSOR_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogTensorAllocation
 
TENSOR_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogTensorOutput
 
TENSOR_FIELD_NUMBER - Static variable in class org.tensorflow.framework.Summary.Value
 
TENSOR_FORMAT - Static variable in class org.deeplearning4j.nn.layers.BaseCudnnHelper
 
TENSOR_SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorProto
 
TENSOR_TYPE_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.TypeProto
 
TENSOR_TYPE_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.TypeProto
 
TENSOR_VALUE - Static variable in enum onnx.OnnxMlProto3.AttributeProto.AttributeType
TENSOR = 4;
TENSOR_VALUE - Static variable in enum onnx.OnnxProto3.AttributeProto.AttributeType
TENSOR = 4;
tensorAlongDimension(int, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
tensorAlongDimension(int, int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
tensorAlongDimension(int, int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Get the vector along a particular dimension
tensorAlongDimension(long, IntPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
return array pointing on certain range of this array index - the number of array to be returned among set of possible arrays dimensions - array of dimensions to point on
tensorAlongDimension(long, IntBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
tensorAlongDimension(long, int[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
tensorAlongDimension(long, IntPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
return array pointing on certain range of this array index - the number of array to be returned among set of possible arrays dimensions - array of dimensions to point on
tensorAlongDimension(long, IntBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
tensorAlongDimension(long, int[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
tensorAlongDimension(long, IntPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
return array pointing on certain range of this array index - the number of array to be returned among set of possible arrays dimensions - array of dimensions to point on
tensorAlongDimension(long, IntBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
tensorAlongDimension(long, int[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
tensorAlongDimension(long, IntPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
return array pointing on certain range of this array index - the number of array to be returned among set of possible arrays dimensions - array of dimensions to point on
tensorAlongDimension(long, IntBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
tensorAlongDimension(long, int[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
tensorAlongDimension(long, IntPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
return array pointing on certain range of this array index - the number of array to be returned among set of possible arrays dimensions - array of dimensions to point on
tensorAlongDimension(long, IntBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
tensorAlongDimension(long, int[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
tensorAlongDimension(long, IntPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
return array pointing on certain range of this array index - the number of array to be returned among set of possible arrays dimensions - array of dimensions to point on
tensorAlongDimension(long, IntBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
tensorAlongDimension(long, int[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
TensorArray() - Constructor for class org.deeplearning4j.nn.layers.BaseCudnnHelper.TensorArray
 
TensorArray(long) - Constructor for class org.deeplearning4j.nn.layers.BaseCudnnHelper.TensorArray
 
TensorArray(BaseCudnnHelper.TensorArray) - Constructor for class org.deeplearning4j.nn.layers.BaseCudnnHelper.TensorArray
 
tensorArray() - Method in class org.nd4j.autodiff.samediff.SameDiff
 
TensorArrayConcatV3 - Class in org.nd4j.linalg.api.ops.impl.shape.tensorops
 
TensorArrayConcatV3(String, SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayConcatV3
 
TensorArrayConcatV3(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayConcatV3
 
TensorArrayConcatV3() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayConcatV3
 
TensorArrayGatherV3 - Class in org.nd4j.linalg.api.ops.impl.shape.tensorops
 
TensorArrayGatherV3(String, SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayGatherV3
 
TensorArrayGatherV3(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayGatherV3
 
TensorArrayGatherV3() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayGatherV3
 
TensorArrayReadV3 - Class in org.nd4j.linalg.api.ops.impl.shape.tensorops
 
TensorArrayReadV3(String, SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayReadV3
 
TensorArrayReadV3(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayReadV3
 
TensorArrayReadV3() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayReadV3
 
TensorArrayScatterV3 - Class in org.nd4j.linalg.api.ops.impl.shape.tensorops
 
TensorArrayScatterV3(String, SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayScatterV3
 
TensorArrayScatterV3(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayScatterV3
 
TensorArrayScatterV3() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayScatterV3
 
TensorArrayV3 - Class in org.nd4j.linalg.api.ops.impl.shape.tensorops
 
TensorArrayV3(String, SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayV3
 
TensorArrayV3(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayV3
 
TensorArrayV3(TensorArrayV3) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayV3
 
TensorArrayV3(TensorArrayV3, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayV3
 
TensorArrayV3() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayV3
 
TensorArrayWriteV3 - Class in org.nd4j.linalg.api.ops.impl.shape.tensorops
 
TensorArrayWriteV3(String, SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayWriteV3
 
TensorArrayWriteV3(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayWriteV3
 
TensorArrayWriteV3() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayWriteV3
 
TensorDescription - Class in org.tensorflow.framework
Protobuf type tensorflow.TensorDescription
TensorDescription.Builder - Class in org.tensorflow.framework
Protobuf type tensorflow.TensorDescription
TensorDescriptionOrBuilder - Interface in org.tensorflow.framework
 
TensorDescriptionProtos - Class in org.tensorflow.framework
 
TensorDescriptor - Class in org.nd4j.imports.descriptors.onnx
 
TensorDescriptor() - Constructor for class org.nd4j.imports.descriptors.onnx.TensorDescriptor
 
tensorflow - package tensorflow
 
TensorFlowCnnToFeedForwardPreProcessor - Class in org.deeplearning4j.nn.modelimport.keras.preprocessors
Specialized CnnToFeedForwardInputPreProcessor for use with Convolutional layers imported from Keras using the TensorFlow backend.
TensorFlowCnnToFeedForwardPreProcessor(long, long, long) - Constructor for class org.deeplearning4j.nn.modelimport.keras.preprocessors.TensorFlowCnnToFeedForwardPreProcessor
 
TensorFlowCnnToFeedForwardPreProcessor(long, long) - Constructor for class org.deeplearning4j.nn.modelimport.keras.preprocessors.TensorFlowCnnToFeedForwardPreProcessor
 
TensorFlowCnnToFeedForwardPreProcessor() - Constructor for class org.deeplearning4j.nn.modelimport.keras.preprocessors.TensorFlowCnnToFeedForwardPreProcessor
 
TensorflowConversion - Class in org.nd4j.tensorflow.conversion
Interop between nd4j INDArray and tensorflow.TF_Tensor
TensorflowDescriptorParser - Class in org.nd4j.imports.descriptors.tensorflow
 
TensorflowDescriptorParser() - Constructor for class org.nd4j.imports.descriptors.tensorflow.TensorflowDescriptorParser
 
tensorflowName() - Method in class org.nd4j.autodiff.functions.DifferentialFunction
The opName of this function tensorflow
tensorflowName() - Method in class org.nd4j.autodiff.samediff.SDVariable
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.DefaultOpConverter
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.accum.All
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.accum.AMax
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.accum.AMean
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.accum.AMin
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.accum.Any
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.accum.ArgMax
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.accum.ASum
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.accum.Bias
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.accum.CountNonZero
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.accum.CountZero
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.accum.CumProd
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.accum.CumSum
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.CosineDistance
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.CosineSimilarity
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.EuclideanDistance
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.HammingDistance
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.JaccardDistance
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.ManhattanDistance
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.accum.Dot
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.accum.Entropy
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.accum.EqualsWithEps
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.accum.LogEntropy
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.accum.LogSumExp
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.accum.MatchCondition
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.accum.Max
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.accum.Mean
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.accum.Min
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.accum.Mmul
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.accum.Moments
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.accum.Norm1
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.accum.Norm2
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.accum.NormalizeMoments
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.accum.NormMax
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.accum.Prod
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.accum.ShannonEntropy
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.accum.SigmoidCrossEntropyLoss
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.accum.SoftmaxCrossEntropyLoss
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.accum.SoftmaxCrossEntropyLossWithLogits
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.accum.Sum
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.accum.TensorMmul
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.accum.Variance
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.accum.WeightedCrossEntropyLoss
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.accum.ZeroFraction
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BiasAdd
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BiasAddGrad
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAddOp
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMax
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMin
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastCopyOp
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastDivOp
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastEqualTo
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGradientArgs
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGreaterThan
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGreaterThanOrEqual
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastLessThan
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastLessThanOrEqual
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMax
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMin
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMulOp
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastNotEqual
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRDivOp
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRSubOp
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastSubOp
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Enter
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Exit
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.LoopCond
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Merge
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.NextIteration
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.StopGradient
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.Switch
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.If
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.Select
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.While
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.WhileDerivative
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.grid.BaseGridOp
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.FirstIndex
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.IAMax
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.IAMin
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.IMax
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.IMin
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.LastIndex
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling2D
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.BatchNorm
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1D
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2DDerivative
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3DDerivative
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2D
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2DDerivative
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2DTF
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthToSpace
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2D
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.FullConv3DDerivative
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.LegacyPooling2D
Deprecated.
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.LocalResponseNormalization
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling2D
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2D
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3D
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2D
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2DDerivative
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SpaceToDepth
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling2d
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.Linear
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.GRUCell
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMCell
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.SRU
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.SRUCell
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.loss.L2Loss
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThan
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThanOrEqual
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThan
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThanOrEqual
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNotEquals
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarSetValue
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarAdd
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarDivision
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarFMod
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarMax
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarMin
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarMultiplication
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarRemainder
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseDivision
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseSubtraction
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarSet
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarSubtraction
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterAdd
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterDiv
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterMax
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterMin
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterMul
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterSub
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterUpdate
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.ApplyGradientDescent
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.bp.ConcatBp
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Broadcast
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.BroadcastDynamicShape
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Concat
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.ConfusionMatrix
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Cross
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Diag
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.DiagPart
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.ExpandDims
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Eye
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.MergeAvg
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.MergeMax
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.MergeSum
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.OneHot
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.OnesLike
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.ParallelStack
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Permute
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Rank
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Repeat
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Reshape
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.RollAxis
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.SequenceMask
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Shape
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Slice
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Split
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.SplitV
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Squeeze
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Stack
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.StridedSlice
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayConcatV3
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayGatherV3
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayReadV3
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayScatterV3
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayV3
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayWriteV3
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorSizeV3
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Tile
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Transpose
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.Unstack
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.shape.ZerosLike
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Abs
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.ACos
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.ACosh
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.And
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.AddOp
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.Axpy
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.bp.SquaredDifferenceBpOp
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.CopyOp
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.DivOp
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.FloorDivOp
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.FloorModOp
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.FModOp
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.MergeAddOp
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.MulOp
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.OldAddOp
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.OldDivOp
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.OldFloorDivOp
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.OldFModOp
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.OldMulOp
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.OldRDivOp
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.OldSubOp
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RDivOp
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RealDivOp
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RemainderOp
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RSubOp
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.SquaredDifferenceOp
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.SubOp
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.TruncateDivOp
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.ASin
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.ASinh
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Assign
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.ATan
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.ATan2
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.ATanh
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.BatchToSpace
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.BinaryMinimalRelativeError
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.BinaryRelativeError
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Ceil
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndReplace
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.Eps
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.EqualTo
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.GreaterThan
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.GreaterThanOrEqual
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.IsNonDecreasing
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.IsNumericTensor
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.IsStrictlyIncreasing
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.LessThan
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.LessThanOrEqual
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.ListDiff
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.Max
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.Min
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.NotEqualTo
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.OldEqualTo
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.OldGreaterThan
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.OldGreaterThanOrEqual
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.OldLessThan
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.OldLessThanOrEqual
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.OldMax
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.OldMin
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.OldNotEqualTo
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Constant
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Cos
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Cosh
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Cube
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Dilation2D
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.dtype.Cast
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.DynamicPartition
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.DynamicStitch
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.ELU
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Erf
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Erfc
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Exp
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Expm1
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Fill
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Floor
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.CubeDerivative
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.ELUDerivative
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.GradientBackwardsMarker
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.HardSigmoidDerivative
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.HardTanhDerivative
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.LeakyReLUDerivative
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.LogSoftMaxDerivative
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.RationalTanhDerivative
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.RectifiedTanhDerivative
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.Relu6Derivative
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.SELUDerivative
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.SigmoidDerivative
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftMaxDerivative
Deprecated.
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftSignDerivative
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.TanhDerivative
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.HardSigmoid
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.HardTanh
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Histogram
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Identity
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.InvertPermutation
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.IsFinite
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.IsInf
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.IsMax
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.IsNaN
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.LeakyReLU
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.LegacyDropOut
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.LegacyDropOutInverted
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Log
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Log1p
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.LogSigmoid
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.LogSigmoidDerivative
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.LogSoftMax
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.LogX
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.MatchConditionTransform
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.MatrixDeterminant
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.MatrixDiag
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.MatrixDiagPart
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.MatrixSetDiag
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.MaxOut
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.MirrorPad
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Negative
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Not
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.OldAtan2Op
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.OldIdentity
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.OldReverse
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.OldSoftMax
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.OneMinus
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Or
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.ParallelConcat
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Pow
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.PowDerivative
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.RationalTanh
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Reciprocal
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.RectifedLinear
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.RectifiedTanh
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.RelativeError
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Relu6
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.ReluLayer
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.ReplaceNans
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Reverse
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.ReverseSequence
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.ReverseV2
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Rint
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Round
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.RSqrt
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.SELU
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Set
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.SetRange
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Sigmoid
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.SigmoidDerivative
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Sign
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Sin
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Sinh
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.SoftMax
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.SoftMaxDerivative
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.SoftPlus
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.SoftSign
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.SpaceToBatch
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Sqrt
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Square
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Stabilize
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Step
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Swish
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.SwishDerivative
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Tan
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.TanDerivative
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Tanh
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.TanhDerivative
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.temp.ExternalErrorsFunction
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.TimesOneMinus
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Xor
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.impl.transforms.XwPlusB
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.NoOp
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.persistence.RestoreV2
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.persistence.SaveV2
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.random.compat.RandomStandardNormal
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.random.custom.DistributionUniform
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.random.custom.RandomNormal
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.random.impl.AlphaDropOut
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.random.impl.BernoulliDistribution
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.random.impl.BinomialDistribution
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.random.impl.BinomialDistributionEx
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.random.impl.Choice
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.random.impl.DropOut
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.random.impl.DropOutInverted
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.random.impl.Linspace
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.random.impl.LogNormalDistribution
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.random.impl.ProbablisticMerge
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.random.impl.Range
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.random.impl.TruncatedNormalDistribution
 
tensorflowName() - Method in class org.nd4j.linalg.api.ops.random.impl.UniformDistribution
 
tensorflowName() - Method in class org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT
 
tensorflowName() - Method in class org.nd4j.linalg.lossfunctions.impl.LossCosineProximity
 
tensorflowName() - Method in class org.nd4j.linalg.lossfunctions.impl.LossFMeasure
 
tensorflowName() - Method in class org.nd4j.linalg.lossfunctions.impl.LossHinge
 
tensorflowName() - Method in class org.nd4j.linalg.lossfunctions.impl.LossKLD
 
tensorflowName() - Method in class org.nd4j.linalg.lossfunctions.impl.LossL1
 
tensorflowName() - Method in class org.nd4j.linalg.lossfunctions.impl.LossL2
 
tensorflowName() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAE
 
tensorflowName() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAPE
 
tensorflowName() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMCXENT
 
tensorflowName() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity
 
tensorflowName() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSE
 
tensorflowName() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSLE
 
tensorflowName() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMultiLabel
 
tensorflowName() - Method in class org.nd4j.linalg.lossfunctions.impl.LossPoisson
 
tensorflowName() - Method in class org.nd4j.linalg.lossfunctions.impl.LossSquaredHinge
 
tensorflowNames() - Method in class org.nd4j.autodiff.functions.DifferentialFunction
The opName of this function tensorflow
tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.While
 
tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1D
 
tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D
 
tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2DDerivative
 
tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3DDerivative
 
tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthToSpace
 
tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.FullConv3DDerivative
 
tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2D
 
tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2DDerivative
 
tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SpaceToDepth
 
tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.shape.Concat
 
tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.shape.Gather
 
tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.shape.GatherNd
 
tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.shape.Stack
 
tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.shape.Unstack
 
tensorflowNames() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Identity
 
tensorFromNDArray(INDArray) - Method in class org.nd4j.tensorflow.conversion.TensorflowConversion
Convert an INDArray to a tensorflow.TF_Tensor with zero copy.
tensorLength - Variable in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil.Tensor1DStats
 
TensorList - Class in org.nd4j.list.compat
This class implements basic storage for NDArrays
TensorList(String) - Constructor for class org.nd4j.list.compat.TensorList
 
TensorList(String, INDArray) - Constructor for class org.nd4j.list.compat.TensorList
 
tensorMmul(SDVariable, SDVariable, int[][]) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
tensorMmul(SDVariable, SDVariable, int[][]) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
tensorMmul(String, SDVariable, SDVariable, int[][]) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
TensorMmul - Class in org.nd4j.linalg.api.ops.impl.accum
TensorMmul
TensorMmul(SameDiff, SDVariable, SDVariable, int[][]) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.TensorMmul
 
TensorMmul(SameDiff, SDVariable, SDVariable, int[][], MMulTranspose) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.TensorMmul
 
TensorMmul(INDArray, INDArray, int[][]) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.TensorMmul
 
TensorMmul(INDArray, INDArray, INDArray, int[][]) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.TensorMmul
Initialize with the given input, pairwise transform, result, and number of elements
tensorMmul(INDArray, INDArray, INDArray, int[][]) - Static method in class org.nd4j.linalg.factory.Nd4j
Tensor matrix multiplication.
tensorMmul(INDArray, INDArray, int[][]) - Static method in class org.nd4j.linalg.factory.Nd4j
Tensor matrix multiplication.
TensorProto - Class in org.tensorflow.framework
Protocol buffer representing a tensor.
TensorProto.Builder - Class in org.tensorflow.framework
Protocol buffer representing a tensor.
TensorProtoOrBuilder - Interface in org.tensorflow.framework
 
TensorProtos - Class in org.tensorflow.framework
 
TENSORS_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.AttributeProto
 
TENSORS_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.AttributeProto
 
TENSORS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.VariantTensorDataProto
 
TENSORS_VALUE - Static variable in enum onnx.OnnxMlProto3.AttributeProto.AttributeType
TENSORS = 9;
TENSORS_VALUE - Static variable in enum onnx.OnnxProto3.AttributeProto.AttributeType
TENSORS = 9;
tensorsAlongDimension(IntPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
returns the number of arrays pointing on specified dimension(s) dimensions - array of dimensions to point on
tensorsAlongDimension(IntBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
tensorsAlongDimension(int[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
tensorsAlongDimension(IntPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
returns the number of arrays pointing on specified dimension(s) dimensions - array of dimensions to point on
tensorsAlongDimension(IntBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
tensorsAlongDimension(int[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
tensorsAlongDimension(IntPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
returns the number of arrays pointing on specified dimension(s) dimensions - array of dimensions to point on
tensorsAlongDimension(IntBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
tensorsAlongDimension(int[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
tensorsAlongDimension(int, int, LongPointer, IntPointer, int) - Static method in class org.nd4j.nativeblas.Nd4jCpu
Computes the number of tensors along a given dimension
tensorsAlongDimension(int, int, LongBuffer, IntBuffer, int) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
tensorsAlongDimension(int, int, long[], int[], int) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
tensorsAlongDimension(LongPointer, IntPointer, int) - Static method in class org.nd4j.nativeblas.Nd4jCpu
Computes the number of tensors along a given dimension
tensorsAlongDimension(LongBuffer, IntBuffer, int) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
tensorsAlongDimension(long[], int[], int) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
tensorsAlongDimension(IntPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
returns the number of arrays pointing on specified dimension(s) dimensions - array of dimensions to point on
tensorsAlongDimension(IntBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
tensorsAlongDimension(int[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
tensorsAlongDimension(IntPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
returns the number of arrays pointing on specified dimension(s) dimensions - array of dimensions to point on
tensorsAlongDimension(IntBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
tensorsAlongDimension(int[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
tensorsAlongDimension(IntPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
returns the number of arrays pointing on specified dimension(s) dimensions - array of dimensions to point on
tensorsAlongDimension(IntBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
tensorsAlongDimension(int[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
tensorsAlongDimension(int, int, LongPointer, IntPointer, int) - Static method in class org.nd4j.nativeblas.Nd4jCuda
Computes the number of tensors along a given dimension
tensorsAlongDimension(int, int, LongBuffer, IntBuffer, int) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
tensorsAlongDimension(int, int, long[], int[], int) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
tensorsAlongDimension(LongPointer, IntPointer, int) - Static method in class org.nd4j.nativeblas.Nd4jCuda
Computes the number of tensors along a given dimension
tensorsAlongDimension(LongBuffer, IntBuffer, int) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
tensorsAlongDimension(long[], int[], int) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
TensorShapeProto - Class in org.tensorflow.framework
Dimensions of a tensor.
TensorShapeProto.Builder - Class in org.tensorflow.framework
Dimensions of a tensor.
TensorShapeProto.Dim - Class in org.tensorflow.framework
One dimension of the tensor.
TensorShapeProto.Dim.Builder - Class in org.tensorflow.framework
One dimension of the tensor.
TensorShapeProto.DimOrBuilder - Interface in org.tensorflow.framework
 
TensorShapeProtoOrBuilder - Interface in org.tensorflow.framework
 
TensorShapeProtos - Class in org.tensorflow.framework
 
TensorSizeV3 - Class in org.nd4j.linalg.api.ops.impl.shape.tensorops
 
TensorSizeV3() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorSizeV3
 
TensorSliceProto - Class in org.tensorflow.framework
Can only be interpreted if you know the corresponding TensorShape.
TensorSliceProto.Builder - Class in org.tensorflow.framework
Can only be interpreted if you know the corresponding TensorShape.
TensorSliceProto.Extent - Class in org.tensorflow.framework
Extent of the slice in one dimension.
TensorSliceProto.Extent.Builder - Class in org.tensorflow.framework
Extent of the slice in one dimension.
TensorSliceProto.Extent.HasLengthCase - Enum in org.tensorflow.framework
 
TensorSliceProto.ExtentOrBuilder - Interface in org.tensorflow.framework
 
TensorSliceProtoOrBuilder - Interface in org.tensorflow.framework
 
TensorSliceProtos - Class in org.tensorflow.framework
 
tensorsPerSlice(INDArray, int[]) - Static method in class org.nd4j.linalg.util.NDArrayMath
Computes the tensors per slice given a tensor shape and array
tensorssAlongDimension(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
tensorssAlongDimension(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
tensorssAlongDimension(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Returns the number of possible vectors for a given dimension
tensorStartSeparation - Variable in class org.nd4j.linalg.api.ops.executioner.OpExecutionerUtil.Tensor1DStats
 
Term - Class in org.ansj.domain
 
Term(String, int, AnsjItem) - Constructor for class org.ansj.domain.Term
 
Term(String, int, TermNatures) - Constructor for class org.ansj.domain.Term
 
Term(String, int, String, int) - Constructor for class org.ansj.domain.Term
 
TermArrRecognition - Interface in org.ansj.recognition
词语识别接口,用来识别词语
terminate(IOptimizationRunner) - Method in class org.deeplearning4j.arbiter.optimize.api.termination.MaxCandidatesCondition
 
terminate(IOptimizationRunner) - Method in class org.deeplearning4j.arbiter.optimize.api.termination.MaxTimeCondition
 
terminate(IOptimizationRunner) - Method in interface org.deeplearning4j.arbiter.optimize.api.termination.TerminationCondition
Determine whether optimization should be terminated
terminate(int, double) - Method in class org.deeplearning4j.earlystopping.termination.BestScoreEpochTerminationCondition
 
terminate(int, double) - Method in interface org.deeplearning4j.earlystopping.termination.EpochTerminationCondition
Should the early stopping training terminate at this epoch, based on the calculated score and the epoch number? Returns true if training should terminated, or false otherwise
terminate(double) - Method in class org.deeplearning4j.earlystopping.termination.InvalidScoreIterationTerminationCondition
 
terminate(double) - Method in interface org.deeplearning4j.earlystopping.termination.IterationTerminationCondition
Should early stopping training terminate at this iteration, based on the score for the last iteration? return true if training should be terminated immediately, or false otherwise
terminate(int, double) - Method in class org.deeplearning4j.earlystopping.termination.MaxEpochsTerminationCondition
 
terminate(double) - Method in class org.deeplearning4j.earlystopping.termination.MaxScoreIterationTerminationCondition
 
terminate(double) - Method in class org.deeplearning4j.earlystopping.termination.MaxTimeIterationTerminationCondition
 
terminate(int, double) - Method in class org.deeplearning4j.earlystopping.termination.ScoreImprovementEpochTerminationCondition
 
terminateCluster() - Method in class org.deeplearning4j.aws.emr.SparkEMRClient
Terminates a cluster
TERMINATING_CHARACTER - Static variable in class com.atilika.kuromoji.trie.DoubleArrayTrie
 
TerminationCondition - Interface in org.deeplearning4j.arbiter.optimize.api.termination
Global termination condition for conducting hyperparameter optimization.
terminationCondition - Variable in class org.deeplearning4j.clustering.strategy.BaseClusteringStrategy
 
terminationConditions(TerminationCondition...) - Method in class org.deeplearning4j.arbiter.optimize.config.OptimizationConfiguration.Builder
Termination conditions to use
terminationConditions(List<TerminationCondition>) - Method in class org.deeplearning4j.arbiter.optimize.config.OptimizationConfiguration.Builder
 
terminationReason - Variable in class org.deeplearning4j.parallelism.EarlyStoppingParallelTrainer
 
terminator - Variable in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
 
terminator - Variable in class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
 
terminator - Variable in class org.deeplearning4j.parallelism.AsyncIterator
 
termLink(Term, Term) - Static method in class org.ansj.util.TermUtil
 
TermNature - Class in org.ansj.domain
一个词里面会有一些词性
TermNature(String, int) - Constructor for class org.ansj.domain.TermNature
 
termNature - Variable in class org.ansj.recognition.impl.NatureRecognition.NatureTerm
 
termNatures - Variable in class org.ansj.domain.AnsjItem
frequency : 词性词典,以及词性的相关权重
termNatures() - Method in class org.ansj.domain.Term
获得这个term的所有词性
TermNatures - Class in org.ansj.domain
每一个term都拥有一个词性集合
TermNatures(TermNature[], int) - Constructor for class org.ansj.domain.TermNatures
构造方法.一个词对应这种玩意
TermNatures(TermNature) - Constructor for class org.ansj.domain.TermNatures
 
TermNatures(TermNature, int, int) - Constructor for class org.ansj.domain.TermNatures
 
termNatures - Variable in class org.ansj.domain.TermNatures
关于这个term的所有词性
terms - Variable in class org.ansj.util.Graph
 
TermUtil - Class in org.ansj.util
term的操作类
TermUtil() - Constructor for class org.ansj.util.TermUtil
 
TermUtil.InsertTermType - Enum in org.ansj.util
 
test(T, U) - Method in interface org.nd4j.linalg.function.BiPredicate
Evaluate the predicate
test(T) - Method in interface org.nd4j.linalg.function.Predicate
Returns the result of the predicate on the given input
TEST_FILE_LABELS_FILENAME_UNZIPPED - Static variable in class org.deeplearning4j.base.MnistFetcher
 
TEST_FILES_FILENAME_UNZIPPED - Static variable in class org.deeplearning4j.base.MnistFetcher
 
TestCase - Class in org.nd4j.autodiff.validation
TestCase: Validate a SameDiff instance.
TestCase(SameDiff) - Constructor for class org.nd4j.autodiff.validation.TestCase
 
testData(Map<String, Object>) - Method in class org.deeplearning4j.arbiter.data.DataSetIteratorFactoryProvider
Get training data given some parameters for the data.
testData(Map<String, Object>) - Method in class org.deeplearning4j.arbiter.data.MnistDataProvider
 
testData(Map<String, Object>) - Method in interface org.deeplearning4j.arbiter.optimize.api.data.DataProvider
Deprecated.
Get training data given some parameters for the data.
testData(Map<String, Object>) - Method in class org.deeplearning4j.arbiter.optimize.api.data.DataSetIteratorFactoryProvider
Get training data given some parameters for the data.
testData() - Method in interface org.deeplearning4j.arbiter.optimize.api.data.DataSource
Get test data to be used for the optimization.
TestDataSetIterator - Class in org.deeplearning4j.datasets.test
Track number of times the dataset iterator has been called
TestDataSetIterator(DataSetIterator) - Constructor for class org.deeplearning4j.datasets.test.TestDataSetIterator
 
TestDataSetIterator - Class in org.nd4j.linalg.dataset.api.iterator
Created by susaneraly on 5/26/16.
TestDataSetIterator(DataSet, int) - Constructor for class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator
 
TestDataSetIterator(List<DataSet>, int) - Constructor for class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator
 
TestDataSetIterator(DataSet) - Constructor for class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator
This makes an iterator from the given dataset and batchsize ONLY for use in tests in nd4j Initializes with a default batch of 5
testFilesSerialized - Variable in class org.datavec.image.loader.CifarLoader
 
testFold() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator
 
testInputStream - Variable in class org.datavec.image.loader.CifarLoader
 
TestMultiDataSetIterator - Class in org.nd4j.linalg.dataset.api.iterator
 
TestMultiDataSetIterator(int, MultiDataSet...) - Constructor for class org.nd4j.linalg.dataset.api.iterator.TestMultiDataSetIterator
Makes an iterator from the given datasets.
testNameErrMsg() - Method in class org.nd4j.autodiff.validation.TestCase
 
testSetAccuracy() - Static method in class org.deeplearning4j.arbiter.scoring.ScoreFunctions
Calculate the accuracy on a test set, for a MultiLayerNetwork
TestSetAccuracyScoreFunction - Class in org.deeplearning4j.arbiter.scoring.impl
Deprecated.
TestSetAccuracyScoreFunction() - Constructor for class org.deeplearning4j.arbiter.scoring.impl.TestSetAccuracyScoreFunction
Deprecated.
 
testSetF1() - Static method in class org.deeplearning4j.arbiter.scoring.ScoreFunctions
Calculate the f1 score on a test set
TestSetF1ScoreFunction - Class in org.deeplearning4j.arbiter.scoring.impl
Deprecated.
TestSetF1ScoreFunction() - Constructor for class org.deeplearning4j.arbiter.scoring.impl.TestSetF1ScoreFunction
Deprecated.
 
testSetLoss(boolean) - Static method in class org.deeplearning4j.arbiter.scoring.ScoreFunctions
Calculate the loss (score/loss function value) on a test set, for a MultiLayerNetwork
TestSetLossScoreFunction - Class in org.deeplearning4j.arbiter.scoring.impl
Score function that calculates the test set loss on a test set for a MultiLayerNetwork or ComputationGraph
TestSetLossScoreFunction() - Constructor for class org.deeplearning4j.arbiter.scoring.impl.TestSetLossScoreFunction
 
TestSetLossScoreFunction(boolean) - Constructor for class org.deeplearning4j.arbiter.scoring.impl.TestSetLossScoreFunction
 
testSetRegression(RegressionValue) - Static method in class org.deeplearning4j.arbiter.scoring.ScoreFunctions
Calculate a regression value (MSE, MAE etc) on a test set
TestSetRegressionScoreFunction - Class in org.deeplearning4j.arbiter.scoring.impl
Deprecated.
TestSetRegressionScoreFunction(RegressionValue) - Constructor for class org.deeplearning4j.arbiter.scoring.impl.TestSetRegressionScoreFunction
Deprecated.
 
Text - Class in org.datavec.api.writable
This class stores text using standard UTF8 encoding.
Text() - Constructor for class org.datavec.api.writable.Text
 
Text(String) - Constructor for class org.datavec.api.writable.Text
Construct from a string.
Text(Text) - Constructor for class org.datavec.api.writable.Text
Construct from another text.
Text(byte[]) - Constructor for class org.datavec.api.writable.Text
Construct from a byte array.
Text.Comparator - Class in org.datavec.api.writable
A WritableComparator optimized for Text keys.
TextGenerationLSTM - Class in org.deeplearning4j.zoo.model
LSTM designed for text generation.
TextInputFormat - Class in org.datavec.nlp.input
 
TextInputFormat() - Constructor for class org.datavec.nlp.input.TextInputFormat
 
TextPipeline - Class in org.deeplearning4j.spark.text.functions
A spark based text pipeline with minimum word frequency and stop words
TextPipeline() - Constructor for class org.deeplearning4j.spark.text.functions.TextPipeline
 
TextPipeline(JavaRDD<String>, Broadcast<Map<String, Object>>) - Constructor for class org.deeplearning4j.spark.text.functions.TextPipeline
 
textsToMatrix(String[], TokenizerMode) - Method in class org.deeplearning4j.nn.modelimport.keras.preprocessing.text.KerasTokenizer
Turns an array of texts into an ND4J matrix of shape (number of texts, number of words in vocabulary)
textsToSequences(String[]) - Method in class org.deeplearning4j.nn.modelimport.keras.preprocessing.text.KerasTokenizer
Transforms a bunch of texts into their index representations.
TextToCharacterIndexTransform - Class in org.datavec.api.transform.transform.nlp
Convert each text value in a sequence to a longer sequence of integer indices.
TextToCharacterIndexTransform(String, String, Map<Character, Integer>, boolean) - Constructor for class org.datavec.api.transform.transform.nlp.TextToCharacterIndexTransform
 
TextToTermIndexSequenceTransform - Class in org.datavec.api.transform.transform.nlp
Convert each text value in a sequence to a longer sequence of integer indices.
TextToTermIndexSequenceTransform(String, String, List<String>, String, boolean) - Constructor for class org.datavec.api.transform.transform.nlp.TextToTermIndexSequenceTransform
 
TextToTermIndexSequenceTransform(String, String, Map<String, Integer>, String, boolean) - Constructor for class org.datavec.api.transform.transform.nlp.TextToTermIndexSequenceTransform
 
textToWordSequence(String, String, boolean, String) - Static method in class org.deeplearning4j.nn.modelimport.keras.preprocessing.text.KerasTokenizer
Turns a String text into a sequence of tokens.
TextVectorizer<VECTOR_TYPE> - Class in org.datavec.nlp.vectorizer
Baseline text vectorizer that includes some common elements to text analysis such as the tokenizer factory
TextVectorizer() - Constructor for class org.datavec.nlp.vectorizer.TextVectorizer
 
TextVectorizer - Interface in org.deeplearning4j.bagofwords.vectorizer
Vectorizes text
TextWritableComparator - Class in org.datavec.api.writable.comparator
 
TextWritableComparator() - Constructor for class org.datavec.api.writable.comparator.TextWritableComparator
 
tf(int, int) - Static method in class org.deeplearning4j.clustering.util.MathUtils
Term frequency: 1+ log10(count)
tf(int) - Static method in class org.nd4j.linalg.util.MathUtils
Term frequency: 1+ log10(count)
TFGraphMapper - Class in org.nd4j.imports.graphmapper.tf
Map tensorflow graph protos to the intermediate representation for samediff.
tfidf(String, double) - Method in class org.datavec.nlp.metadata.DefaultVocabCache
 
tfidf(String, double) - Method in interface org.datavec.nlp.metadata.VocabCache
Calculate the tfidf of the word given the document frequency
tfidf(double, double) - Static method in class org.deeplearning4j.clustering.util.MathUtils
Return td * idf
tfidf(double, double) - Static method in class org.nd4j.linalg.util.MathUtils
Return td * idf
TfidfRecordReader - Class in org.datavec.nlp.reader
TFIDF record reader (wraps a tfidf vectorizer for delivering labels and conforming to the record reader interface)
TfidfRecordReader() - Constructor for class org.datavec.nlp.reader.TfidfRecordReader
 
TfidfVectorizer - Class in org.datavec.nlp.vectorizer
Nd4j tfidf vectorizer
TfidfVectorizer() - Constructor for class org.datavec.nlp.vectorizer.TfidfVectorizer
 
TfidfVectorizer - Class in org.deeplearning4j.bagofwords.vectorizer
 
TfidfVectorizer() - Constructor for class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer
 
TfidfVectorizer.Builder - Class in org.deeplearning4j.bagofwords.vectorizer
 
tfidfWord(String, long, long) - Method in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer
 
theta(double) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
 
third() - Method in class org.nd4j.graph.IntTriple
 
third() - Method in class org.nd4j.graph.LongTriple
 
third - Variable in class org.nd4j.linalg.primitives.ImmutableQuad
 
third - Variable in class org.nd4j.linalg.primitives.ImmutableTriple
 
third - Variable in class org.nd4j.linalg.primitives.Quad
 
third - Variable in class org.nd4j.linalg.primitives.Triple
 
thread - Variable in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
 
thread - Variable in class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
 
thread - Variable in class org.deeplearning4j.parallelism.AsyncIterator
 
THREAD_ID_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NodeExecStats
 
threadA - Variable in class org.nd4j.parameterserver.distributed.transport.BaseTransport
 
threadB - Variable in class org.nd4j.parameterserver.distributed.transport.BaseTransport
 
threadId(int) - Method in class org.deeplearning4j.parallelism.parameterserver.ParameterServerTrainer.ParameterServerTrainerBuilder
 
threadId - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 
threadId - Variable in class org.deeplearning4j.spark.stats.BaseEventStats
 
threadId - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
 
threadingModel - Variable in class org.nd4j.parameterserver.distributed.transport.BaseTransport
 
threadNumber - Variable in class org.deeplearning4j.rl4j.learning.async.a3c.discrete.A3CThreadDiscrete
 
threadNumber - Variable in class org.deeplearning4j.rl4j.learning.async.nstep.discrete.AsyncNStepQLearningThreadDiscrete
 
threads - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.ParallelTransformerIterator
 
ThreadUtils - Class in org.deeplearning4j.util
Utils for the basic use and flow of threads.
ThreadUtils() - Constructor for class org.deeplearning4j.util.ThreadUtils
 
ThreadUtils.UncheckedInterruptedException - Exception in org.deeplearning4j.util
Similar to InterruptedException in concept, but unchecked.
threshold - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator.Builder
 
threshold - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodingHandler
 
threshold - Variable in class org.deeplearning4j.spark.parameterserver.conf.SharedTrainingConfiguration
 
threshold - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
 
threshold - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
threshold - Variable in class org.nd4j.linalg.cpu.nativecpu.compression.CpuThreshold
 
threshold - Variable in class org.nd4j.linalg.jcublas.compression.CudaThreshold
 
THRESHOLD_MEMORY_ALLOCATION - Static variable in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
ThresholdCompression - Class in org.nd4j.linalg.compression
 
ThresholdCompression() - Constructor for class org.nd4j.linalg.compression.ThresholdCompression
 
thresholdDecode(INDArray, INDArray) - Method in class org.nd4j.autodiff.samediff.SameDiffOpExecutioner
This method decodes thresholds array, and puts it into target array
thresholdDecode(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
 
thresholdDecode(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
This method decodes thresholds array, and puts it into target array
thresholdDecode(INDArray, INDArray) - Method in class org.nd4j.linalg.cpu.nativecpu.ops.NativeOpExecutioner
 
thresholdDecode(INDArray, INDArray) - Method in class org.nd4j.linalg.jcublas.ops.executioner.CudaExecutioner
 
thresholdEncode(INDArray, double) - Method in class org.nd4j.autodiff.samediff.SameDiffOpExecutioner
This method encodes array as thresholds, updating input array at the same time
thresholdEncode(INDArray, double, Integer) - Method in class org.nd4j.autodiff.samediff.SameDiffOpExecutioner
This method encodes array as thresholds, updating input array at the same time
thresholdEncode(INDArray, double) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
 
thresholdEncode(INDArray, double, Integer) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
 
thresholdEncode(INDArray, double) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
This method encodes array as thresholds, updating input array at the same time
thresholdEncode(INDArray, double, Integer) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
This method encodes array as thresholds, updating input array at the same time
thresholdEncode(INDArray, double) - Method in class org.nd4j.linalg.cpu.nativecpu.ops.NativeOpExecutioner
 
thresholdEncode(INDArray, double, Integer) - Method in class org.nd4j.linalg.cpu.nativecpu.ops.NativeOpExecutioner
 
thresholdEncode(INDArray, double, Integer) - Method in class org.nd4j.linalg.jcublas.ops.executioner.CudaExecutioner
 
thresholdEncode(INDArray, double) - Method in class org.nd4j.linalg.jcublas.ops.executioner.CudaExecutioner
 
thresholdStep - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodingHandler
 
thresholdStep - Variable in class org.deeplearning4j.spark.parameterserver.conf.SharedTrainingConfiguration
 
thresholdStep - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
 
thresholdStep(double) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
Step size for threshold decay.
thresholdStep - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
throwable - Variable in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
 
throwable - Variable in class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
 
throwable - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
throwEx(String, Object...) - Static method in class org.nd4j.base.Preconditions
 
thrownException(Exception) - Method in class org.deeplearning4j.parallelism.parameterserver.ParameterServerTrainer.ParameterServerTrainerBuilder
 
thrownException - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 
throwNullPointerEx(String, Object...) - Static method in class org.nd4j.base.Preconditions
 
throwStateEx(String, Object...) - Static method in class org.nd4j.base.Preconditions
 
tic - Variable in class vizdoom.GameState
 
tick() - Method in class org.deeplearning4j.models.glove.count.RoundCount
 
tick() - Method in class org.nd4j.jita.allocator.impl.NestedPoint
Increments number of ticks by one
tickDeviceRead() - Method in class org.nd4j.jita.allocator.impl.AllocationPoint
 
tickDeviceToHost() - Method in class org.nd4j.jita.allocator.impl.AllocationPoint
This method sets device access time equal to host write time
tickDeviceWrite(INDArray) - Method in interface org.nd4j.jita.allocator.Allocator
 
tickDeviceWrite() - Method in class org.nd4j.jita.allocator.impl.AllocationPoint
This method sets time when this point was changed on device
tickDeviceWrite(INDArray) - Method in class org.nd4j.jita.allocator.impl.AtomicAllocator
 
tickHostRead() - Method in class org.nd4j.jita.allocator.impl.AllocationPoint
 
tickHostWrite(DataBuffer) - Method in interface org.nd4j.jita.allocator.Allocator
 
tickHostWrite(INDArray) - Method in interface org.nd4j.jita.allocator.Allocator
 
tickHostWrite() - Method in class org.nd4j.jita.allocator.impl.AllocationPoint
This method sets time when this point was changed on host
tickHostWrite(DataBuffer) - Method in class org.nd4j.jita.allocator.impl.AtomicAllocator
 
tickHostWrite(INDArray) - Method in class org.nd4j.jita.allocator.impl.AtomicAllocator
 
tickRequests - Variable in class org.nd4j.jita.allocator.concurrency.AtomicState
 
tile(SDVariable, int[]) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
tile(SDVariable, int[]) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
tile(String, SDVariable, int[]) - Method in class org.nd4j.autodiff.samediff.SameDiff
Repeat (tile) the input tensor the specified number of times.
For example, if input is
[1, 2]
[3, 4]
and repeat is [2, 3]
then output is
[1, 2, 1, 2, 1, 2]
[3, 4, 3, 4, 3, 4]
[1, 2, 1, 2, 1, 2]
[3, 4, 3, 4, 3, 4]

Tile - Class in org.nd4j.linalg.api.ops.impl.shape
Tile function
Tile(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Tile
 
Tile(INDArray[], INDArray[], int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Tile
 
Tile(INDArray[], INDArray[], int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Tile
 
Tile() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Tile
 
tile(INDArray, int...) - Static method in class org.nd4j.linalg.factory.Nd4j
An alias for repmat
tile(LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
returns new array which is created by repeating of this array the number of times given by reps repeats - contains numbers of repetitions
tile(LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
tile(long[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
tile(LongPointer, Nd4jCpu.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
change an array by repeating it the number of times given by reps (in-place operation) repeats - contains numbers of repetitions target - where to store result
tile(LongBuffer, Nd4jCpu.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
tile(long[], Nd4jCpu.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
tile(Nd4jCpu.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
change an array by repeating it the number of times to acquire the new shape which is the same as target shape target - where to store result
tile(LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
returns new array which is created by repeating of this array the number of times given by reps repeats - contains numbers of repetitions
tile(LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
tile(long[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
tile(LongPointer, Nd4jCpu.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
change an array by repeating it the number of times given by reps (in-place operation) repeats - contains numbers of repetitions target - where to store result
tile(LongBuffer, Nd4jCpu.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
tile(long[], Nd4jCpu.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
tile(Nd4jCpu.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
change an array by repeating it the number of times to acquire the new shape which is the same as target shape target - where to store result
tile(LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
returns new array which is created by repeating of this array the number of times given by reps repeats - contains numbers of repetitions
tile(LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
tile(long[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
tile(LongPointer, Nd4jCpu.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
change an array by repeating it the number of times given by reps (in-place operation) repeats - contains numbers of repetitions target - where to store result
tile(LongBuffer, Nd4jCpu.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
tile(long[], Nd4jCpu.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
tile(Nd4jCpu.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
change an array by repeating it the number of times to acquire the new shape which is the same as target shape target - where to store result
tile(LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
returns new array which is created by repeating of this array the number of times given by reps repeats - contains numbers of repetitions
tile(LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
tile(long[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
tile(LongPointer, Nd4jCuda.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
change an array by repeating it the number of times given by reps (in-place operation) repeats - contains numbers of repetitions target - where to store result
tile(LongBuffer, Nd4jCuda.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
tile(long[], Nd4jCuda.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
tile(Nd4jCuda.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
change an array by repeating it the number of times to acquire the new shape which is the same as target shape target - where to store result
tile(LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
returns new array which is created by repeating of this array the number of times given by reps repeats - contains numbers of repetitions
tile(LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
tile(long[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
tile(LongPointer, Nd4jCuda.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
change an array by repeating it the number of times given by reps (in-place operation) repeats - contains numbers of repetitions target - where to store result
tile(LongBuffer, Nd4jCuda.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
tile(long[], Nd4jCuda.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
tile(Nd4jCuda.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
change an array by repeating it the number of times to acquire the new shape which is the same as target shape target - where to store result
tile(LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
returns new array which is created by repeating of this array the number of times given by reps repeats - contains numbers of repetitions
tile(LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
tile(long[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
tile(LongPointer, Nd4jCuda.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
change an array by repeating it the number of times given by reps (in-place operation) repeats - contains numbers of repetitions target - where to store result
tile(LongBuffer, Nd4jCuda.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
tile(long[], Nd4jCuda.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
tile(Nd4jCuda.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
change an array by repeating it the number of times to acquire the new shape which is the same as target shape target - where to store result
tileBp(SDVariable, SDVariable, int[]) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
TileBp - Class in org.nd4j.linalg.api.ops.impl.shape.bp
Tile backprop function
TileBp(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.bp.TileBp
 
TileBp() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.bp.TileBp
 
tilei(LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
change an array by repeating it the number of times given by reps (in-place operation) repeats - contains numbers of repetitions
tilei(LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
tilei(long[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
tilei(LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
change an array by repeating it the number of times given by reps (in-place operation) repeats - contains numbers of repetitions
tilei(LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
tilei(long[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
tilei(LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
change an array by repeating it the number of times given by reps (in-place operation) repeats - contains numbers of repetitions
tilei(LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
tilei(long[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
tilei(LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
change an array by repeating it the number of times given by reps (in-place operation) repeats - contains numbers of repetitions
tilei(LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
tilei(long[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
tilei(LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
change an array by repeating it the number of times given by reps (in-place operation) repeats - contains numbers of repetitions
tilei(LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
tilei(long[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
tilei(LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
change an array by repeating it the number of times given by reps (in-place operation) repeats - contains numbers of repetitions
tilei(LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
tilei(long[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
tileToShape(LongPointer, Nd4jCpu.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
change an array by repeating it the number of times in order to acquire new shape equal to the input shape shape - contains new shape to broadcast array to target - optional argument, if target != nullptr the resulting array will be placed in target, in opposite case tile operation is done in place
tileToShape(LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
tileToShape(LongBuffer, Nd4jCpu.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
tileToShape(LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
tileToShape(long[], Nd4jCpu.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
tileToShape(long[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
tileToShape(LongPointer, Nd4jCpu.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
change an array by repeating it the number of times in order to acquire new shape equal to the input shape shape - contains new shape to broadcast array to target - optional argument, if target != nullptr the resulting array will be placed in target, in opposite case tile operation is done in place
tileToShape(LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
tileToShape(LongBuffer, Nd4jCpu.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
tileToShape(LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
tileToShape(long[], Nd4jCpu.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
tileToShape(long[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
tileToShape(LongPointer, Nd4jCpu.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
change an array by repeating it the number of times in order to acquire new shape equal to the input shape shape - contains new shape to broadcast array to target - optional argument, if target != nullptr the resulting array will be placed in target, in opposite case tile operation is done in place
tileToShape(LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
tileToShape(LongBuffer, Nd4jCpu.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
tileToShape(LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
tileToShape(long[], Nd4jCpu.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
tileToShape(long[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
tileToShape(LongPointer, Nd4jCuda.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
change an array by repeating it the number of times in order to acquire new shape equal to the input shape shape - contains new shape to broadcast array to target - optional argument, if target != nullptr the resulting array will be placed in target, in opposite case tile operation is done in place
tileToShape(LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
tileToShape(LongBuffer, Nd4jCuda.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
tileToShape(LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
tileToShape(long[], Nd4jCuda.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
tileToShape(long[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
tileToShape(LongPointer, Nd4jCuda.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
change an array by repeating it the number of times in order to acquire new shape equal to the input shape shape - contains new shape to broadcast array to target - optional argument, if target != nullptr the resulting array will be placed in target, in opposite case tile operation is done in place
tileToShape(LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
tileToShape(LongBuffer, Nd4jCuda.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
tileToShape(LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
tileToShape(long[], Nd4jCuda.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
tileToShape(long[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
tileToShape(LongPointer, Nd4jCuda.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
change an array by repeating it the number of times in order to acquire new shape equal to the input shape shape - contains new shape to broadcast array to target - optional argument, if target != nullptr the resulting array will be placed in target, in opposite case tile operation is done in place
tileToShape(LongPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
tileToShape(LongBuffer, Nd4jCuda.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
tileToShape(LongBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
tileToShape(long[], Nd4jCuda.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
tileToShape(long[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
time() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
time(long) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
time() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
time(long) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
TIME_SLICE - Static variable in class org.datavec.codec.reader.BaseCodecRecordReader
 
TimeAnalysis - Class in org.datavec.api.transform.analysis.columns
Analysis for Time columns
TimeAnalysis.Builder - Class in org.datavec.api.transform.analysis.columns
 
timeBlasCall() - Method in class org.nd4j.linalg.profiler.OpProfiler
 
timeColumn(String) - Method in class org.datavec.api.transform.sequence.window.OverlappingTimeWindowFunction.Builder
 
timeColumn(String) - Method in class org.datavec.api.transform.sequence.window.TimeWindowFunction.Builder
 
TimeColumnCondition - Class in org.datavec.api.transform.condition.column
Condition that applies to the values in a Time column, using a ConditionOp
TimeColumnCondition(String, ConditionOp, long) - Constructor for class org.datavec.api.transform.condition.column.TimeColumnCondition
Constructor for operations such as less than, equal to, greater than, etc.
TimeColumnCondition(String, SequenceConditionMode, ConditionOp, long) - Constructor for class org.datavec.api.transform.condition.column.TimeColumnCondition
Constructor for operations such as less than, equal to, greater than, etc.
TimeColumnCondition(String, ConditionOp, Set<Long>) - Constructor for class org.datavec.api.transform.condition.column.TimeColumnCondition
Constructor for operations: ConditionOp.InSet, ConditionOp.NotInSet Uses default sequence condition mode, ColumnCondition.DEFAULT_SEQUENCE_CONDITION_MODE
TimeColumnCondition(String, SequenceConditionMode, ConditionOp, Set<Long>) - Constructor for class org.datavec.api.transform.condition.column.TimeColumnCondition
Constructor for operations: ConditionOp.InSet, ConditionOp.NotInSet
TimeDelayedParameterUpdater - Class in org.nd4j.parameterserver.updater
Created by agibsonccc on 12/1/16.
TimeDelayedParameterUpdater() - Constructor for class org.nd4j.parameterserver.updater.TimeDelayedParameterUpdater
 
timeframe - Variable in class org.nd4j.jita.allocator.time.impl.SimpleTimer
 
timeId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
timeId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
TimeIterationListener - Class in org.deeplearning4j.optimize.listeners
Time Iteration Listener.
TimeIterationListener(int) - Constructor for class org.deeplearning4j.optimize.listeners.TimeIterationListener
Constructor
TIMELINE_LABEL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NodeExecStats
 
TimelineEntry(String, long, long) - Constructor for class org.deeplearning4j.ui.components.chart.ChartTimeline.TimelineEntry
 
TimelineEntry(String, long, long, Color) - Constructor for class org.deeplearning4j.ui.components.chart.ChartTimeline.TimelineEntry
 
timeMathOp(String, MathOp, long, TimeUnit) - Method in class org.datavec.api.transform.TransformProcess.Builder
Perform a mathematical operation (add, subtract, scalar min/max only) on the specified time column
TimeMathOpTransform - Class in org.datavec.api.transform.transform.time
Transform math op on a time column
TimeMathOpTransform(String, MathOp, long, TimeUnit) - Constructor for class org.datavec.api.transform.transform.time.TimeMathOpTransform
 
timeMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
timeMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
timeMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
timeMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
timeMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
timeMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
TimeMetaData - Class in org.datavec.api.transform.metadata
TimeMetaData: Meta data for a date/time column.
TimeMetaData(String) - Constructor for class org.datavec.api.transform.metadata.TimeMetaData
Create a TimeMetaData column with no restrictions and UTC timezone.
TimeMetaData(String, TimeZone) - Constructor for class org.datavec.api.transform.metadata.TimeMetaData
Create a TimeMetaData column with no restriction on the allowable times
TimeMetaData(String, DateTimeZone) - Constructor for class org.datavec.api.transform.metadata.TimeMetaData
Create a TimeMetaData column with no restriction on the allowable times
TimeMetaData(String, TimeZone, Long, Long) - Constructor for class org.datavec.api.transform.metadata.TimeMetaData
 
TimeMetaData(String, DateTimeZone, Long, Long) - Constructor for class org.datavec.api.transform.metadata.TimeMetaData
 
timeMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
timeMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
timeMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
timeMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
timeMode - Variable in class org.deeplearning4j.optimize.listeners.SleepyTrainingListener
 
timeNDArrayCreation(RecordReader, InputStream, IOTiming.INDArrayCreationFunction) - Static method in class org.datavec.perf.timing.IOTiming
 
timeNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
timeNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
timeNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
timeNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
timeOpCall(Op, long) - Method in class org.nd4j.linalg.profiler.OpProfiler
 
timeOpCall(CustomOp, long) - Method in class org.nd4j.linalg.profiler.OpProfiler
 
TimeProvider - Interface in org.nd4j.jita.allocator.time
 
TimeQuality - Class in org.datavec.api.transform.quality.columns
TimeQuality: quality of a time column
TimeQuality(long, long, long, long) - Constructor for class org.datavec.api.transform.quality.columns.TimeQuality
 
TimeQuality() - Constructor for class org.datavec.api.transform.quality.columns.TimeQuality
 
TimeQualityAddFunction - Class in org.datavec.api.transform.analysis.quality.time
 
TimeQualityAddFunction() - Constructor for class org.datavec.api.transform.analysis.quality.time.TimeQualityAddFunction
 
TimeQualityAnalysisState - Class in org.datavec.api.transform.analysis.quality.time
 
TimeQualityAnalysisState(TimeMetaData) - Constructor for class org.datavec.api.transform.analysis.quality.time.TimeQualityAnalysisState
 
TimeQualityMergeFunction - Class in org.datavec.api.transform.analysis.quality.time
Created by Alex on 5/03/2016.
TimeQualityMergeFunction() - Constructor for class org.datavec.api.transform.analysis.quality.time.TimeQualityMergeFunction
 
timerBP - Variable in class org.deeplearning4j.optimize.listeners.SleepyTrainingListener
 
TimeRecognition - Class in org.ansj.recognition.impl
时间识别抽取
TimeRecognition() - Constructor for class org.ansj.recognition.impl.TimeRecognition
 
timerEE - Variable in class org.deeplearning4j.optimize.listeners.SleepyTrainingListener
 
timerES - Variable in class org.deeplearning4j.optimize.listeners.SleepyTrainingListener
 
timerFF - Variable in class org.deeplearning4j.optimize.listeners.SleepyTrainingListener
 
timerIteration - Variable in class org.deeplearning4j.optimize.listeners.SleepyTrainingListener
 
times(double[]) - Static method in class org.deeplearning4j.clustering.util.MathUtils
This returns the product of all numbers in the given array.
times(int[], int) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
times(int[], int[]) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
times(double[]) - Static method in class org.nd4j.linalg.util.MathUtils
This returns the product of all numbers in the given array.
timeSeriesRandomOffset(boolean, long) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder
For use with timeseries trained with tbptt In a given minbatch, shorter time series are padded and appropriately masked to be the same length as the longest time series.
TimeSeriesUtils - Class in org.deeplearning4j.util
Basic time series utils
TimeSeriesWritableUtils - Class in org.datavec.api.timeseries.util
Simple utils for converting Writable s lists to INDArray
TimeSeriesWritableUtils() - Constructor for class org.datavec.api.timeseries.util.TimeSeriesWritableUtils
 
TimeSeriesWritableUtils.RecordDetails - Class in org.datavec.api.timeseries.util
 
TimeSeriesWritableUtils.ZeroLengthSequenceException - Exception in org.datavec.api.timeseries.util
Unchecked exception, thrown to signify that a zero-length sequence data set was encountered.
TimeSet - Class in org.nd4j.linalg.profiler.data.primitives
Utility holder class, used to store timing sets retrieved with profiler.
TimeSet() - Constructor for class org.nd4j.linalg.profiler.data.primitives.TimeSet
 
TimesOneMinus - Class in org.nd4j.linalg.api.ops.impl.transforms
If x is input: output is x*(1-x)
TimesOneMinus(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.TimesOneMinus
 
TimesOneMinus(SameDiff, SDVariable, long[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.TimesOneMinus
 
TimesOneMinus(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.TimesOneMinus
 
TimesOneMinus() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.TimesOneMinus
 
TimesOneMinus(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.TimesOneMinus
 
TimesOneMinus(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.TimesOneMinus
 
TimesOneMinus(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.TimesOneMinus
 
TimesOneMinus(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.TimesOneMinus
 
TimeSource - Interface in org.deeplearning4j.spark.time
A time source is an abstraction of system time away from the local system clock.
TIMESOURCE_CLASSNAME_PROPERTY - Static variable in class org.deeplearning4j.config.DL4JSystemProperties
Applicability: dl4j-spark_2.xx - mainly used in ParameterAveragingTrainingMaster when stats collection is enabled; not enabled by default
Description: This sets the time source to use for spark stats.
TIMESOURCE_CLASSNAME_PROPERTY - Static variable in class org.deeplearning4j.spark.time.TimeSourceProvider
TimeSourceProvider - Class in org.deeplearning4j.spark.time
TimeSourceProvider: used to get a TimeSource via a static method.
Defaults to the Network Time Protocol implementation NTPTimeSource, but can be switched to other implementations via the TimeSourceProvider.TIMESOURCE_CLASSNAME_PROPERTY system property.
timestamp() - Method in class org.datavec.audio.Wave
Timestamp of the wave length
timestamp - Variable in class org.deeplearning4j.arbiter.ui.data.BaseJavaPersistable.Builder
 
timestamp(long) - Method in class org.deeplearning4j.arbiter.ui.data.BaseJavaPersistable.Builder
 
timeStamp() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
timeStamp(long) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
timestamp - Variable in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
 
timeStampId() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
timeStampMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
timeStampMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
timeStampMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
timeStampMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
timeStampMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
timeStampNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
timeStampNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
timestats() - Method in class org.nd4j.graph.FlatConfiguration
 
timeUnitToString(long, TimeUnit) - Static method in class org.nd4j.util.StringUtils
 
timeVectorOf(BufferAllocator, String, int) - Static method in class org.datavec.arrow.ArrowConverter
 
TimeWindowFunction - Class in org.datavec.api.transform.sequence.window
A windowing function based on time, with non-overlapping windows.
TimeWindowFunction(String, long, TimeUnit) - Constructor for class org.datavec.api.transform.sequence.window.TimeWindowFunction
Constructor with zero offset
TimeWindowFunction(String, long, TimeUnit, boolean, boolean) - Constructor for class org.datavec.api.transform.sequence.window.TimeWindowFunction
Constructor with zero offset, and supports adding columns containing the start and/or end times of the window
TimeWindowFunction(String, long, TimeUnit, long, TimeUnit) - Constructor for class org.datavec.api.transform.sequence.window.TimeWindowFunction
Constructor with optional offset
TimeWindowFunction(String, long, TimeUnit, long, TimeUnit, boolean, boolean, boolean) - Constructor for class org.datavec.api.transform.sequence.window.TimeWindowFunction
Constructor with optional offset
TimeWindowFunction.Builder - Class in org.datavec.api.transform.sequence.window
 
timing(int) - Method in class org.nd4j.graph.FlatResult
 
timing(FlatTiming, int) - Method in class org.nd4j.graph.FlatResult
 
timing() - Method in class org.nd4j.graph.FlatTiming
 
timing(LongPair) - Method in class org.nd4j.graph.FlatTiming
 
timingLength() - Method in class org.nd4j.graph.FlatResult
 
TimingStatistics - Class in org.datavec.perf.timing
The timing statistics for a data pipeline including: ndarray creation time in nanoseconds disk reading time in nanoseconds bandwidth used in host to device in nano seconds bandwidth device to host in nanoseconds
TimingStatistics() - Constructor for class org.datavec.perf.timing.TimingStatistics
 
TinyImageNetDataSetIterator - Class in org.deeplearning4j.datasets.iterator.impl
Tiny ImageNet is a subset of the ImageNet database.
TinyImageNetDataSetIterator(int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.TinyImageNetDataSetIterator
 
TinyImageNetDataSetIterator(int, DataSetType) - Constructor for class org.deeplearning4j.datasets.iterator.impl.TinyImageNetDataSetIterator
 
TinyImageNetDataSetIterator(int, int[], DataSetType) - Constructor for class org.deeplearning4j.datasets.iterator.impl.TinyImageNetDataSetIterator
 
TinyImageNetDataSetIterator(int, int[], DataSetType, ImageTransform, long) - Constructor for class org.deeplearning4j.datasets.iterator.impl.TinyImageNetDataSetIterator
Get the Tiny ImageNet iterator with specified train/test set and custom transform.
TinyImageNetFetcher - Class in org.deeplearning4j.datasets.fetchers
Tiny ImageNet is a subset of the ImageNet database.
TinyImageNetFetcher() - Constructor for class org.deeplearning4j.datasets.fetchers.TinyImageNetFetcher
 
TinyYOLO - Class in org.deeplearning4j.zoo.model
Tiny YOLO Reference: https://arxiv.org/pdf/1612.08242.pdf
title(String) - Method in class org.datavec.api.transform.ui.components.RenderableComponentHistogram.Builder
 
title(String) - Method in class org.datavec.api.transform.ui.components.RenderableComponentLineChart.Builder
 
title(String) - Method in class org.datavec.api.transform.ui.components.RenderableComponentTable.Builder
 
title - Variable in class org.datavec.image.mnist.draw.DrawReconstruction
 
title(String) - Method in class org.deeplearning4j.ui.components.decorator.DecoratorAccordion.Builder
 
titleA - Variable in class org.nd4j.tools.InfoValues
Title array.
titleStyle - Variable in class org.deeplearning4j.ui.components.chart.style.StyleChart.Builder
 
titleStyle(StyleText) - Method in class org.deeplearning4j.ui.components.chart.style.StyleChart.Builder
 
titleStyle - Variable in class org.deeplearning4j.ui.components.chart.style.StyleChart
 
to() - Method in class org.ansj.domain.Term
 
TO_FIELD_NUMBER - Static variable in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename
 
TO_STRING_MAX_ELEMENTS - Static variable in class org.nd4j.linalg.api.buffer.BaseDataBuffer
ToAnalysis - Class in org.ansj.splitWord.analysis
标准分词
ToAnalysis() - Constructor for class org.ansj.splitWord.analysis.ToAnalysis
 
ToAnalysis(Reader) - Constructor for class org.ansj.splitWord.analysis.ToAnalysis
 
toAnalysisObject() - Method in class org.datavec.api.transform.analysis.counter.NDArrayAnalysisCounter
 
toArray(Collection<Writable>, int) - Static method in class org.datavec.api.util.ndarray.RecordConverter
Deprecated.
toArray(Collection<? extends Writable>) - Static method in class org.datavec.api.util.ndarray.RecordConverter
Convert a record to an INDArray.
toArray() - Method in class org.datavec.api.writable.batch.AbstractTimeSeriesWritableRecordBatch
 
toArray(T[]) - Method in class org.datavec.api.writable.batch.AbstractTimeSeriesWritableRecordBatch
 
toArray() - Method in class org.datavec.api.writable.batch.AbstractWritableRecordBatch
 
toArray(T[]) - Method in class org.datavec.api.writable.batch.AbstractWritableRecordBatch
 
toArray(ArrowWritableRecordTimeSeriesBatch) - Static method in class org.datavec.arrow.ArrowConverter
Create an ndarray from a matrix.
toArray(ArrowWritableRecordBatch) - Static method in class org.datavec.arrow.ArrowConverter
Create an ndarray from a matrix.
toArray() - Method in class org.datavec.arrow.recordreader.ArrowWritableRecordBatch
 
toArray(T[]) - Method in class org.datavec.arrow.recordreader.ArrowWritableRecordBatch
 
toArray() - Method in class org.datavec.arrow.recordreader.ArrowWritableRecordTimeSeriesBatch
 
toArray(T[]) - Method in class org.datavec.arrow.recordreader.ArrowWritableRecordTimeSeriesBatch
 
toArray(BatchCSVRecord) - Method in class org.datavec.spark.transform.CSVSparkTransform
Convert a raw record via the TransformProcess to a base 64ed ndarray
toArray(SingleCSVRecord) - Method in class org.datavec.spark.transform.CSVSparkTransform
Convert a raw record via the TransformProcess to a base 64ed ndarray
toArray(List<String>) - Static method in class org.datavec.spark.transform.DataFrames
Convert a string list into a array
toArray(SingleImageRecord) - Method in class org.datavec.spark.transform.ImageSparkTransform
 
toArray(BatchImageRecord) - Method in class org.datavec.spark.transform.ImageSparkTransform
 
toArray() - Method in class org.deeplearning4j.malmo.MalmoBox
 
toArray() - Method in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
toArray(T[]) - Method in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
toArray() - Method in class org.deeplearning4j.rl4j.mdp.ale.ALEMDP.GameScreen
 
toArray() - Method in class org.deeplearning4j.rl4j.mdp.toy.HardToyState
 
toArray() - Method in class org.deeplearning4j.rl4j.mdp.toy.SimpleToyState
 
toArray() - Method in class org.deeplearning4j.rl4j.mdp.vizdoom.VizDoom.GameScreen
 
toArray() - Method in class org.deeplearning4j.rl4j.space.Box
 
toArray() - Method in interface org.deeplearning4j.rl4j.space.Encodable
$ encodes all the information of an Observation in an array double and can be used as input of a DQN directly
toArray() - Method in class org.deeplearning4j.util.DiskBasedQueue
 
toArray(T[]) - Method in class org.deeplearning4j.util.DiskBasedQueue
 
toArray(DirectBuffer, int) - Static method in class org.nd4j.aeron.ipc.AeronNDArraySerde
Create an ndarray from the unsafe buffer
toArray(DirectBuffer) - Static method in class org.nd4j.aeron.ipc.AeronNDArraySerde
Create an ndarray from the unsafe buffer
toArray() - Method in class org.nd4j.linalg.collection.CompactHeapStringList
 
toArray(T[]) - Method in class org.nd4j.linalg.collection.CompactHeapStringList
 
toArray() - Method in class org.nd4j.linalg.collection.IntArrayKeySet
 
toArray(T[]) - Method in class org.nd4j.linalg.collection.IntArrayKeySet
 
toArray() - Method in class org.nd4j.linalg.collection.MultiDimensionalSet
Returns an array containing all of the elements in this applyTransformToDestination.
toArray(T[]) - Method in class org.nd4j.linalg.collection.MultiDimensionalSet
Returns an array containing all of the elements in this applyTransformToDestination; the runtime type of the returned array is that of the specified array.
toArray(Enumeration<E>, A[]) - Static method in class org.nd4j.linalg.io.CollectionUtils
 
toArray(List<Integer>) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
toArray() - Method in class org.nd4j.list.BaseNDArrayList
 
toArray(T[]) - Method in class org.nd4j.list.BaseNDArrayList
 
toArray() - Method in class org.nd4j.list.matrix.MatrixBaseNDArrayList
 
toArray(T[]) - Method in class org.nd4j.list.matrix.MatrixBaseNDArrayList
 
toArray() - Method in class org.nd4j.list.NDArrayList
 
toArray(T[]) - Method in class org.nd4j.list.NDArrayList
 
toArray(ByteBuffer, int) - Static method in class org.nd4j.serde.binary.BinarySerde
Create an ndarray from the unsafe buffer
toArray(ByteBuffer) - Static method in class org.nd4j.serde.binary.BinarySerde
Create an ndarray from the unsafe buffer
toArrayAndByteBuffer(DirectBuffer, int) - Static method in class org.nd4j.aeron.ipc.AeronNDArraySerde
Create an ndarray from the unsafe buffer.
toArrayAndByteBuffer(ByteBuffer, int) - Static method in class org.nd4j.serde.binary.BinarySerde
Create an ndarray and existing bytebuffer
toArrayDouble(List<Double>) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
toArrayList() - Method in class org.datavec.arrow.recordreader.ArrowWritableRecordBatch
 
toArrayList() - Method in class org.datavec.arrow.recordreader.ArrowWritableRecordTimeSeriesBatch
 
toArrayLong(List<Long>) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
toArrowColumns(BufferAllocator, Schema, List<List<Writable>>) - Static method in class org.datavec.arrow.ArrowConverter
Given a buffer allocator and datavec schema, convert the passed in batch of records to a set of arrow columns
toArrowColumnsString(BufferAllocator, Schema, List<List<String>>) - Static method in class org.datavec.arrow.ArrowConverter
Convert a set of input strings to arrow columns
toArrowColumnsStringSingle(BufferAllocator, Schema, List<String>) - Static method in class org.datavec.arrow.ArrowConverter
Convert a set of input strings to arrow columns
toArrowColumnsStringTimeSeries(BufferAllocator, Schema, List<List<List<String>>>) - Static method in class org.datavec.arrow.ArrowConverter
Convert a set of input strings to arrow columns for a time series.
toArrowColumnsTimeSeries(BufferAllocator, Schema, List<List<List<Writable>>>) - Static method in class org.datavec.arrow.ArrowConverter
Convert a set of input strings to arrow columns for a time series.
toArrowColumnsTimeSeriesHelper(BufferAllocator, Schema, List<List<List<T>>>) - Static method in class org.datavec.arrow.ArrowConverter
Convert a set of input strings to arrow columns for a time series.
toArrowSchema(Schema) - Static method in class org.datavec.arrow.ArrowConverter
Convert a data vec Schema to an arrow Schema
toArrowWritables(List<FieldVector>, Schema) - Static method in class org.datavec.arrow.ArrowConverter
Convert the input field vectors (the input data) and the given schema to a proper list of writables.
toArrowWritablesSingle(List<FieldVector>, Schema) - Static method in class org.datavec.arrow.ArrowConverter
Return a singular record based on the converted writables result.
toArrowWritablesTimeSeries(List<FieldVector>, Schema, int) - Static method in class org.datavec.arrow.ArrowConverter
Convert the input field vectors (the input data) and the given schema to a proper list of writables.
toBgr(File) - Method in class org.datavec.image.loader.ImageLoader
Convert an input stream to an bgr spectrum image
toBgr(InputStream) - Method in class org.datavec.image.loader.ImageLoader
Convert an input stream to an bgr spectrum image
toBgr(BufferedImage) - Method in class org.datavec.image.loader.ImageLoader
Convert an BufferedImage to an bgr spectrum image
toBinaryOctet(Integer) - Static method in class org.nd4j.parameterserver.distributed.util.NetworkOrganizer
 
toBinaryOctet(String) - Static method in class org.nd4j.parameterserver.distributed.util.NetworkOrganizer
 
toBitString(K) - Method in interface com.atilika.kuromoji.trie.PatriciaTrie.KeyMapper
Formats a key as a String
toBitString(String) - Method in class com.atilika.kuromoji.trie.PatriciaTrie.StringKeyMapper
 
toBoolean(String) - Method in class org.nd4j.tools.PropertyParser
Get property.
toBoolean(String, boolean) - Method in class org.nd4j.tools.PropertyParser
Get property.
toBuffer(INDArray) - Static method in class org.nd4j.aeron.ipc.AeronNDArraySerde
Convert an ndarray to an unsafe buffer for use by aeron
toBuffer(NDArrayMessageChunk) - Static method in class org.nd4j.aeron.ipc.chunk.NDArrayMessageChunk
Convert an ndarray message chunk to a buffer.
toBuffer(NDArrayMessage) - Static method in class org.nd4j.aeron.ipc.NDArrayMessage
Convert a message to a direct buffer.
toBuffer(int...) - Static method in class org.nd4j.linalg.api.shape.Shape
Convert an array to a byte buffer
toBufferedImage(Image, int) - Static method in class org.datavec.image.loader.ImageLoader
Converts a given Image into a BufferedImage
toBufferedImageRGB(INDArray, BufferedImage) - Method in class org.datavec.image.loader.ImageLoader
Convert the given image to an rgb image
toBuilder() - Method in class onnx.OnnxMlProto3.AttributeProto
 
toBuilder() - Method in class onnx.OnnxMlProto3.GraphProto
 
toBuilder() - Method in class onnx.OnnxMlProto3.ModelProto
 
toBuilder() - Method in class onnx.OnnxMlProto3.NodeProto
 
toBuilder() - Method in class onnx.OnnxMlProto3.OperatorSetIdProto
 
toBuilder() - Method in class onnx.OnnxMlProto3.StringStringEntryProto
 
toBuilder() - Method in class onnx.OnnxMlProto3.TensorProto.Segment
 
toBuilder() - Method in class onnx.OnnxMlProto3.TensorProto
 
toBuilder() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension
 
toBuilder() - Method in class onnx.OnnxMlProto3.TensorShapeProto
 
toBuilder() - Method in class onnx.OnnxMlProto3.TypeProto.Map
 
toBuilder() - Method in class onnx.OnnxMlProto3.TypeProto.Sequence
 
toBuilder() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor
 
toBuilder() - Method in class onnx.OnnxMlProto3.TypeProto
 
toBuilder() - Method in class onnx.OnnxMlProto3.ValueInfoProto
 
toBuilder() - Method in class onnx.OnnxOperatorsProto3.OperatorProto
 
toBuilder() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
 
toBuilder() - Method in class onnx.OnnxProto3.AttributeProto
 
toBuilder() - Method in class onnx.OnnxProto3.GraphProto
 
toBuilder() - Method in class onnx.OnnxProto3.ModelProto
 
toBuilder() - Method in class onnx.OnnxProto3.NodeProto
 
toBuilder() - Method in class onnx.OnnxProto3.OperatorSetIdProto
 
toBuilder() - Method in class onnx.OnnxProto3.StringStringEntryProto
 
toBuilder() - Method in class onnx.OnnxProto3.TensorProto.Segment
 
toBuilder() - Method in class onnx.OnnxProto3.TensorProto
 
toBuilder() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension
 
toBuilder() - Method in class onnx.OnnxProto3.TensorShapeProto
 
toBuilder() - Method in class onnx.OnnxProto3.TypeProto.Tensor
 
toBuilder() - Method in class onnx.OnnxProto3.TypeProto
 
toBuilder() - Method in class onnx.OnnxProto3.ValueInfoProto
 
toBuilder() - Method in class org.tensorflow.framework.AllocationDescription
 
toBuilder() - Method in class org.tensorflow.framework.AllocationRecord
 
toBuilder() - Method in class org.tensorflow.framework.AllocatorMemoryUsed
 
toBuilder() - Method in class org.tensorflow.framework.ApiDef.Arg
 
toBuilder() - Method in class org.tensorflow.framework.ApiDef.Attr
 
toBuilder() - Method in class org.tensorflow.framework.ApiDef.Endpoint
 
toBuilder() - Method in class org.tensorflow.framework.ApiDef
 
toBuilder() - Method in class org.tensorflow.framework.ApiDefs
 
toBuilder() - Method in class org.tensorflow.framework.AttrValue.ListValue
 
toBuilder() - Method in class org.tensorflow.framework.AttrValue
 
toBuilder() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo
 
toBuilder() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo
 
toBuilder() - Method in class org.tensorflow.framework.CostGraphDef.Node
 
toBuilder() - Method in class org.tensorflow.framework.CostGraphDef
 
toBuilder() - Method in class org.tensorflow.framework.DeviceAttributes
 
toBuilder() - Method in class org.tensorflow.framework.DeviceLocality
 
toBuilder() - Method in class org.tensorflow.framework.DeviceStepStats
 
toBuilder() - Method in class org.tensorflow.framework.FunctionDef
 
toBuilder() - Method in class org.tensorflow.framework.FunctionDefLibrary
 
toBuilder() - Method in class org.tensorflow.framework.GradientDef
 
toBuilder() - Method in class org.tensorflow.framework.GraphDef
 
toBuilder() - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo
 
toBuilder() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo
 
toBuilder() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo
 
toBuilder() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo
 
toBuilder() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInput
 
toBuilder() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo
 
toBuilder() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo
 
toBuilder() - Method in class org.tensorflow.framework.GraphTransferInfo
 
toBuilder() - Method in class org.tensorflow.framework.HistogramProto
 
toBuilder() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint
 
toBuilder() - Method in class org.tensorflow.framework.KernelDef
 
toBuilder() - Method in class org.tensorflow.framework.MemoryLogRawAllocation
 
toBuilder() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation
 
toBuilder() - Method in class org.tensorflow.framework.MemoryLogStep
 
toBuilder() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation
 
toBuilder() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation
 
toBuilder() - Method in class org.tensorflow.framework.MemoryLogTensorOutput
 
toBuilder() - Method in class org.tensorflow.framework.MemoryStats
 
toBuilder() - Method in class org.tensorflow.framework.NameAttrList
 
toBuilder() - Method in class org.tensorflow.framework.NodeDef
 
toBuilder() - Method in class org.tensorflow.framework.NodeExecStats
 
toBuilder() - Method in class org.tensorflow.framework.NodeOutput
 
toBuilder() - Method in class org.tensorflow.framework.OpDef.ArgDef
 
toBuilder() - Method in class org.tensorflow.framework.OpDef.AttrDef
 
toBuilder() - Method in class org.tensorflow.framework.OpDef
 
toBuilder() - Method in class org.tensorflow.framework.OpDeprecation
 
toBuilder() - Method in class org.tensorflow.framework.OpList
 
toBuilder() - Method in class org.tensorflow.framework.ReaderBaseState
 
toBuilder() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
 
toBuilder() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
 
toBuilder() - Method in class org.tensorflow.framework.ResourceHandleProto
 
toBuilder() - Method in class org.tensorflow.framework.SaveSliceInfoDef
 
toBuilder() - Method in class org.tensorflow.framework.StepStats
 
toBuilder() - Method in class org.tensorflow.framework.Summary.Audio
 
toBuilder() - Method in class org.tensorflow.framework.Summary.Image
 
toBuilder() - Method in class org.tensorflow.framework.Summary
 
toBuilder() - Method in class org.tensorflow.framework.Summary.Value
 
toBuilder() - Method in class org.tensorflow.framework.SummaryDescription
 
toBuilder() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData
 
toBuilder() - Method in class org.tensorflow.framework.SummaryMetadata
 
toBuilder() - Method in class org.tensorflow.framework.TensorDescription
 
toBuilder() - Method in class org.tensorflow.framework.TensorProto
 
toBuilder() - Method in class org.tensorflow.framework.TensorShapeProto.Dim
 
toBuilder() - Method in class org.tensorflow.framework.TensorShapeProto
 
toBuilder() - Method in class org.tensorflow.framework.TensorSliceProto.Extent
 
toBuilder() - Method in class org.tensorflow.framework.TensorSliceProto
 
toBuilder() - Method in class org.tensorflow.framework.VariableDef
 
toBuilder() - Method in class org.tensorflow.framework.VariantTensorDataProto
 
toBuilder() - Method in class org.tensorflow.framework.VersionDef
 
toBuilder() - Method in class org.tensorflow.util.IteratorStateMetadata
 
toBuilder() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault
 
toBuilder() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename
 
toBuilder() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
 
toBuilder() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides
 
toByteArray(Writable...) - Static method in class org.datavec.api.io.WritableUtils
Convert writables to a byte array
toByteArray(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
Convert an ndarray to a byte array
toByteArray(double[]) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
toByteArray(float[]) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
toByteArray(int[]) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
toByteArray(Serializable) - Static method in class org.nd4j.linalg.util.SerializationUtils
Converts the given object to a byte array
toByteBuffer() - Method in class org.nd4j.linalg.compression.CompressionDescriptor
Return a direct allocated bytebuffer from the compression codec.
toByteBuffer(INDArray) - Static method in class org.nd4j.serde.binary.BinarySerde
Convert an ndarray to an unsafe buffer for use by aeron
toBytes(boolean, String) - Static method in class org.deeplearning4j.ui.stats.impl.SbeUtil
 
toBytes(boolean, String[]) - Static method in class org.deeplearning4j.ui.stats.impl.SbeUtil
 
toBytes(Map<String, String>) - Static method in class org.deeplearning4j.ui.stats.impl.SbeUtil
 
toBytesSerializable(Serializable) - Static method in class org.deeplearning4j.ui.stats.impl.SbeUtil
 
toChar(String) - Method in class org.nd4j.tools.PropertyParser
Get property.
toChar(String, char) - Method in class org.nd4j.tools.PropertyParser
Get property.
toClassArray(Collection<Class<?>>) - Static method in class org.nd4j.linalg.io.ClassUtils
 
toClassifierPrediction(Vector) - Static method in class org.deeplearning4j.spark.util.MLLibUtil
This is for the edge case where you have a single output layer and need to convert the output layer to an index
toColumn(List<String>) - Static method in class org.datavec.spark.transform.DataFrames
Convert a list of string names to columns
toColumns(String...) - Static method in class org.datavec.spark.transform.DataFrames
Convert an array of strings to column names
toCompactString() - Method in class org.nd4j.linalg.heartbeat.reports.Environment
 
toCompactString() - Method in class org.nd4j.linalg.heartbeat.reports.Task
 
toComputationGraph() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Convert this MultiLayerNetwork to a ComputationGraph
toComputationGraph(MultiLayerNetwork) - Static method in class org.deeplearning4j.util.NetworkUtils
Convert a MultiLayerNetwork to a ComputationGraph
toCSV() - Method in class org.deeplearning4j.eval.ConfusionMatrix
Outputs the ConfusionMatrix as comma-separated values for easy import into spreadsheets
toCudnnDataType(DataBuffer.Type) - Static method in class org.deeplearning4j.nn.layers.BaseCudnnHelper
 
toCustomOp() - Method in class org.nd4j.linalg.api.ops.BaseOp
 
toCustomOp() - Method in interface org.nd4j.linalg.api.ops.Op
Converts this op to be a CustomOp A CustomOp is a more flexible op meant for multiple inputs and outputs.
toDataFrame(Schema, JavaRDD<List<Writable>>) - Static method in class org.datavec.spark.transform.DataFrames
Creates a data frame from a collection of writables rdd given a schema
toDataFrameSequence(Schema, JavaRDD<List<List<Writable>>>) - Static method in class org.datavec.spark.transform.DataFrames
Convert the given sequence data set to a DataFrame.
Note: The resulting DataFrame has two additional columns added to it:
- Column 0: Sequence UUID (name: DataFrames.SEQUENCE_UUID_COLUMN) - a UUID for the original sequence
- Column 1: Sequence index (name: DataFrames.SEQUENCE_INDEX_COLUMN - an index (integer, starting at 0) for the position of this record in the original time series.
These two columns are required if the data is to be converted back into a sequence at a later point, for example using DataFrames.toRecordsSequence(DataRowsFacade)
toDatavecSchema(Schema) - Static method in class org.datavec.arrow.ArrowConverter
Convert an Schema to a datavec Schema
toDecimal(String) - Static method in class org.deeplearning4j.clustering.util.MathUtils
This will convert the given binary string to a decimal based integer
toDecimal(String) - Static method in class org.nd4j.linalg.util.MathUtils
This will convert the given binary string to a decimal based integer
toDense() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
toDense() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
toDense() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
Converts the sparse ndarray into a dense one
toDense() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCSR
 
toDense() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Return a dense representation of the sparse ndarray
toDense() - Method in interface org.nd4j.linalg.api.ndarray.ISparseNDArray
Return a dense representation of the sparse ndarray
toDouble() - Method in class org.datavec.api.conf.Configuration
 
toDouble() - Method in class org.datavec.api.formats.input.BaseInputFormat
 
toDouble() - Method in class org.datavec.api.formats.input.impl.ListStringInputFormat
Convert Writable to double.
toDouble() - Method in class org.datavec.api.writable.ArrayWritable
 
toDouble() - Method in class org.datavec.api.writable.BooleanWritable
 
toDouble() - Method in class org.datavec.api.writable.ByteWritable
 
toDouble() - Method in class org.datavec.api.writable.DoubleWritable
 
toDouble() - Method in class org.datavec.api.writable.FloatWritable
 
toDouble() - Method in class org.datavec.api.writable.IntWritable
 
toDouble() - Method in class org.datavec.api.writable.LongWritable
 
toDouble() - Method in class org.datavec.api.writable.NullWritable
 
toDouble() - Method in class org.datavec.api.writable.Text
 
toDouble() - Method in interface org.datavec.api.writable.Writable
Convert Writable to double.
toDouble() - Method in class org.datavec.image.data.ImageWritable
 
toDouble(int[][]) - Static method in class org.nd4j.linalg.util.ArrayUtil
Cast an int array to a double array
toDouble(int[]) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
toDouble(long[]) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
toDouble(String) - Method in class org.nd4j.tools.PropertyParser
Get property.
toDouble(String, double) - Method in class org.nd4j.tools.PropertyParser
Get property.
toDoubleArray(byte[]) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
toDoubleMatrix() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
toDoubleMatrix() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
toDoubleMatrix() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Convert this ndarray to a 2d double matrix.
toDoubles(int[]) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
toDoubles(long[]) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
toDoubles(float[]) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
toDoubles(int[][]) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
toDoubleVector() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
toDoubleVector() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
toDoubleVector() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Convert this ndarray to a 1d double matrix.
toEncodedJson() - Method in class org.deeplearning4j.models.embeddings.loader.VectorsConfiguration
 
toeRequests - Variable in class org.nd4j.jita.allocator.concurrency.AtomicState
 
toeThread - Variable in class org.nd4j.jita.allocator.concurrency.AtomicState
 
toFileString() - Method in class org.deeplearning4j.optimize.listeners.checkpoint.Checkpoint
 
toFlatArray(FlatBufferBuilder) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
toFlatArray(FlatBufferBuilder) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
 
toFlatArray(FlatBufferBuilder) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Add an INDArray to flatbuffers builder
toFlatArray(FlatBufferBuilder) - Method in class org.nd4j.linalg.cpu.nativecpu.SparseNDArrayCSR
 
toFlatArray(FlatBufferBuilder) - Method in class org.nd4j.linalg.jcublas.JcusparseNDArrayCSR
 
toFlattened(char, Collection<INDArray>) - Method in class org.nd4j.linalg.cpu.nativecpu.CpuNDArrayFactory
 
toFlattened(char, Collection<INDArray>) - Method in class org.nd4j.linalg.cpu.nativecpu.CpuSparseNDArrayFactory
 
toFlattened(Collection<INDArray>) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
Returns a vector with all of the elements in every nd array equal to the sum of the lengths of the ndarrays
toFlattened(int, Iterator<? extends INDArray>...) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
 
toFlattened(INDArray...) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
 
toFlattened(char, INDArray...) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
 
toFlattened(Collection<INDArray>) - Static method in class org.nd4j.linalg.factory.Nd4j
Create a long row vector of all of the given ndarrays
toFlattened(char, Collection<INDArray>) - Static method in class org.nd4j.linalg.factory.Nd4j
Create a long row vector of all of the given ndarrays
toFlattened(int, Iterator<? extends INDArray>...) - Static method in class org.nd4j.linalg.factory.Nd4j
Create a long row vector of all of the given ndarrays
toFlattened(INDArray...) - Static method in class org.nd4j.linalg.factory.Nd4j
Create a long row vector of all of the given ndarrays
toFlattened(char, INDArray...) - Static method in class org.nd4j.linalg.factory.Nd4j
Create a long row vector of all of the given ndarrays/
toFlattened(Collection<INDArray>) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
/** Returns a flattened ndarray with all of the elements in each ndarray regardless of dimension
toFlattened(int, Iterator<? extends INDArray>...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Returns a flattened ndarray with all of the elements in each ndarray regardless of dimension
toFlattened(char, Collection<INDArray>) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Returns a flattened ndarray with all elements in each ndarray regardless of dimension.
toFlattened(INDArray...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Flatten all of the ndarrays in to one long vector
toFlattened(char, INDArray...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Flatten all of the ndarrays in to one long vector
toFlattened(Collection<INDArray>) - Method in class org.nd4j.linalg.jcublas.JCublasNDArrayFactory
 
toFlattened(char, Collection<INDArray>) - Method in class org.nd4j.linalg.jcublas.JCublasNDArrayFactory
 
toFlattened(char, Collection<INDArray>) - Method in class org.nd4j.linalg.jcublas.JCusparseNDArrayFactory
 
toFloat() - Method in class org.datavec.api.conf.Configuration
 
toFloat() - Method in class org.datavec.api.formats.input.BaseInputFormat
 
toFloat() - Method in class org.datavec.api.formats.input.impl.ListStringInputFormat
Convert Writable to float.
toFloat() - Method in class org.datavec.api.writable.ArrayWritable
 
toFloat() - Method in class org.datavec.api.writable.BooleanWritable
 
toFloat() - Method in class org.datavec.api.writable.ByteWritable
 
toFloat() - Method in class org.datavec.api.writable.DoubleWritable
 
toFloat() - Method in class org.datavec.api.writable.FloatWritable
 
toFloat() - Method in class org.datavec.api.writable.IntWritable
 
toFloat() - Method in class org.datavec.api.writable.LongWritable
 
toFloat() - Method in class org.datavec.api.writable.NullWritable
 
toFloat() - Method in class org.datavec.api.writable.Text
 
toFloat() - Method in interface org.datavec.api.writable.Writable
Convert Writable to float.
toFloat() - Method in class org.datavec.image.data.ImageWritable
 
toFloat(int) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
toFloat(String) - Method in class org.nd4j.tools.PropertyParser
Get property.
toFloat(String, float) - Method in class org.nd4j.tools.PropertyParser
Get property.
toFloatArray(byte[]) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
toFloatMatrix() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
toFloatMatrix() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
toFloatMatrix() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Convert this ndarray to a 2d float matrix.
toFloats(int[][]) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
toFloats(int[]) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
toFloats(long[]) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
toFloats(double[]) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
toFloatVector() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
toFloatVector() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
toFloatVector() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Convert this ndarray to a 1d float vector.
toggleAveraging(boolean) - Method in class org.nd4j.linalg.memory.BasicMemoryManager
 
toggleAveraging(boolean) - Method in interface org.nd4j.linalg.memory.MemoryManager
This method enables/disables calculation of average time spent within loops Default: false
toggleManualMode(boolean) - Method in class org.nd4j.parameterserver.distributed.VoidParameterServer
This method is available for debug purposes only
togglePeriodicGc(boolean) - Method in class org.nd4j.linalg.memory.BasicMemoryManager
 
togglePeriodicGc(boolean) - Method in interface org.nd4j.linalg.memory.MemoryManager
This method enables/disables periodic GC
toggleWorkspaceUse(boolean) - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspace
This method allows you to temporary disable/enable given Workspace use.
toggleWorkspaceUse(boolean) - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
This method allows you to temporary disable/enable given Workspace use.
toggleWorkspaceUse(boolean) - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
This method allows to temporary disable this workspace, and issue allocations directly.
toHalf(float) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
toHalf(double) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
toHalfs(float[]) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
toHalfs(int[]) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
toHalfs(long[]) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
toHalfs(double[]) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
toHTML() - Method in class org.deeplearning4j.eval.ConfusionMatrix
Outputs Confusion Matrix in an HTML table.
toImage(INDArray) - Static method in class org.datavec.image.loader.ImageLoader
Convert a matrix in to a buffereed image
toINDArrayBGR(BufferedImage) - Method in class org.datavec.image.loader.ImageLoader
 
toIndexes(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
Convert the given int indexes to nd array indexes
toInputMatrix(List<Window>, Word2Vec) - Static method in class org.deeplearning4j.text.movingwindow.WordConverter
 
toInputMatrix() - Method in class org.deeplearning4j.text.movingwindow.WordConverter
 
toInt() - Method in class org.datavec.api.conf.Configuration
 
toInt() - Method in class org.datavec.api.formats.input.BaseInputFormat
 
toInt() - Method in class org.datavec.api.formats.input.impl.ListStringInputFormat
Convert Writable to int.
toInt() - Method in class org.datavec.api.writable.ArrayWritable
 
toInt() - Method in class org.datavec.api.writable.BooleanWritable
 
toInt() - Method in class org.datavec.api.writable.ByteWritable
 
toInt() - Method in class org.datavec.api.writable.DoubleWritable
 
toInt() - Method in class org.datavec.api.writable.FloatWritable
 
toInt() - Method in class org.datavec.api.writable.IntWritable
 
toInt() - Method in class org.datavec.api.writable.LongWritable
 
toInt() - Method in class org.datavec.api.writable.NullWritable
 
toInt() - Method in class org.datavec.api.writable.Text
 
toInt() - Method in interface org.datavec.api.writable.Writable
Convert Writable to int.
toInt() - Method in class org.datavec.image.data.ImageWritable
 
toInt(String) - Method in class org.nd4j.tools.PropertyParser
Get property.
toInt(String, int) - Method in class org.nd4j.tools.PropertyParser
Get property.
toIntArray(byte[]) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
toIntArrayArray(BufferedImage) - Method in class org.datavec.image.loader.ImageLoader
 
toIntMatrix() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
toIntMatrix() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
toIntMatrix() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Convert this ndarray to a 2d int matrix.
toInts(float[]) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
toInts(double[]) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
toInts(long[]) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
toInts(long[]) - Static method in class org.nd4j.linalg.util.LongUtils
 
toInts(INDArray) - Static method in class org.nd4j.linalg.util.NDArrayUtil
 
toIntVector() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
toIntVector() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
toIntVector() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Convert this ndarray to a 1d int matrix.
toIterator(Enumeration<E>) - Static method in class org.nd4j.linalg.io.CollectionUtils
 
toJson() - Method in class org.datavec.api.transform.analysis.DataAnalysis
Convert the DataAnalysis object to JSON format
toJson() - Method in class org.datavec.api.transform.schema.Schema
Serialize this schema to json
toJson() - Method in class org.datavec.api.transform.TransformProcess
Convert the TransformProcess to a JSON string
toJson() - Method in class org.datavec.image.transform.ImageTransformProcess
Convert the ImageTransformProcess to a JSON string
toJson() - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace
Return a json configuration of this configuration space.
toJson() - Method in class org.deeplearning4j.arbiter.DL4JConfiguration
Json mapping
toJson() - Method in class org.deeplearning4j.arbiter.GraphConfiguration
Json mapping
toJson() - Method in class org.deeplearning4j.arbiter.optimize.config.OptimizationConfiguration
Return a json configuration of this optimization configuration
toJson() - Method in class org.deeplearning4j.eval.BaseEvaluation
 
toJson() - Method in class org.deeplearning4j.eval.curves.BaseCurve
 
toJson() - Method in class org.deeplearning4j.eval.curves.BaseHistogram
 
toJson() - Method in interface org.deeplearning4j.eval.IEvaluation
 
toJson() - Method in class org.deeplearning4j.models.embeddings.loader.VectorsConfiguration
 
toJSON() - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
 
toJSON() - Method in class org.deeplearning4j.models.sequencevectors.sequence.ShallowSequenceElement
 
toJSON() - Method in class org.deeplearning4j.models.word2vec.VocabWord
 
toJson() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyWord
 
toJson() - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
 
toJson() - Method in class org.deeplearning4j.nn.conf.memory.MemoryReport
 
toJson() - Method in class org.deeplearning4j.nn.conf.MultiLayerConfiguration
 
toJson() - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
Return this configuration as json
toJson() - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
toJson() - Method in interface org.deeplearning4j.spark.api.TrainingMaster
Get the TrainingMaster configuration as JSON
toJson() - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
toJson() - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
toJson() - Method in interface org.nd4j.parameterserver.updater.ParameterServerUpdater
Serialize this updater as json
toJson() - Method in class org.nd4j.parameterserver.updater.SoftSyncParameterUpdater
Serialize this updater as json
toJson() - Method in class org.nd4j.parameterserver.updater.SynchronousParameterUpdater
Serialize this updater as json
toJson() - Method in class org.nd4j.parameterserver.updater.TimeDelayedParameterUpdater
Serialize this updater as json
Token - Class in com.atilika.kuromoji.ipadic
IPADIC token produced by the IPADIC tokenizer with various morphological features
Token(int, String, ViterbiNode.Type, int, Dictionary) - Constructor for class com.atilika.kuromoji.ipadic.Token
 
TOKEN_INFO_DICTIONARY_FILENAME - Static variable in class com.atilika.kuromoji.dict.TokenInfoDictionary
 
TOKEN_PREPROCESSOR - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecVariables
Deprecated.
 
TokenBase - Class in com.atilika.kuromoji
Abstract token class with features shared by all tokens produced by all tokenizers
TokenBase(int, String, ViterbiNode.Type, int, Dictionary) - Constructor for class com.atilika.kuromoji.TokenBase
 
tokenFactory - Variable in class com.atilika.kuromoji.TokenizerBase.Builder
 
tokenFactory - Variable in class com.atilika.kuromoji.TokenizerBase
 
TokenFactory<T extends TokenBase> - Interface in com.atilika.kuromoji.viterbi
 
tokenFactory - Variable in class org.deeplearning4j.models.glove.Glove.Builder
 
tokenFor(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Returns SequenceElement for specified label.
tokenFor(long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
 
tokenFor(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
tokenFor(long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
tokenFor(String) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Returns the token (again not necessarily in the vocab) for this word
tokenFor(long) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
 
tokenInfo - Variable in class com.atilika.kuromoji.buffer.BufferEntry
 
TokenInfoBuffer - Class in com.atilika.kuromoji.buffer
 
TokenInfoBuffer(InputStream) - Constructor for class com.atilika.kuromoji.buffer.TokenInfoBuffer
 
tokenInfoBuffer - Variable in class com.atilika.kuromoji.dict.TokenInfoDictionary
 
TokenInfoBufferCompiler - Class in com.atilika.kuromoji.compile
 
TokenInfoBufferCompiler(OutputStream, List<BufferEntry>) - Constructor for class com.atilika.kuromoji.compile.TokenInfoBufferCompiler
 
TokenInfoDictionary - Class in com.atilika.kuromoji.dict
 
TokenInfoDictionary() - Constructor for class com.atilika.kuromoji.dict.TokenInfoDictionary
 
tokenInfoDictionary - Variable in class com.atilika.kuromoji.TokenizerBase.Builder
 
TokenInfoDictionaryCompiler - Class in com.atilika.kuromoji.ipadic.compile
 
TokenInfoDictionaryCompiler(String) - Constructor for class com.atilika.kuromoji.ipadic.compile.TokenInfoDictionaryCompiler
 
TokenInfoDictionaryCompilerBase<T extends DictionaryEntryBase> - Class in com.atilika.kuromoji.compile
 
TokenInfoDictionaryCompilerBase(String) - Constructor for class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
 
tokenInfos - Variable in class com.atilika.kuromoji.buffer.BufferEntry
 
tokenize(String) - Method in class com.atilika.kuromoji.ipadic.Tokenizer
Tokenizes the provided text and returns a list of tokens with various feature information
tokenize(String) - Method in class com.atilika.kuromoji.TokenizerBase
 
tokenize(CAS, AnnotationFS) - Method in class org.datavec.nlp.tokenization.tokenizer.ConcurrentTokenizer
 
tokenize() - Method in class org.deeplearning4j.spark.text.functions.TextPipeline
 
tokenize(CAS, AnnotationFS) - Method in class org.deeplearning4j.text.tokenization.tokenizer.ConcurrentTokenizer
 
Tokenizer - Class in com.atilika.kuromoji.ipadic
A tokenizer based on the IPADIC dictionary
Tokenizer() - Constructor for class com.atilika.kuromoji.ipadic.Tokenizer
Construct a default tokenizer
Tokenizer - Interface in org.datavec.nlp.tokenization.tokenizer
A representation of a tokenizer.
TOKENIZER - Static variable in class org.datavec.nlp.vectorizer.TextVectorizer
 
TOKENIZER - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecVariables
Deprecated.
 
Tokenizer - Interface in org.deeplearning4j.text.tokenization.tokenizer
A representation of a tokenizer.
Tokenizer.Builder - Class in com.atilika.kuromoji.ipadic
Builder class for creating a customized tokenizer instance
TokenizerAnnotator - Class in org.datavec.nlp.annotator
Overrides OpenNLP tokenizer to be thread safe
TokenizerAnnotator() - Constructor for class org.datavec.nlp.annotator.TokenizerAnnotator
 
TokenizerAnnotator - Class in org.deeplearning4j.text.annotator
Overrides OpenNLP tokenizer to be thread safe
TokenizerAnnotator() - Constructor for class org.deeplearning4j.text.annotator.TokenizerAnnotator
 
TokenizerBase - Class in com.atilika.kuromoji
TokenizerBase main class
TokenizerBase() - Constructor for class com.atilika.kuromoji.TokenizerBase
 
TokenizerBase.Builder - Class in com.atilika.kuromoji
Abstract Builder shared by all tokenizers
TokenizerBase.Mode - Enum in com.atilika.kuromoji
 
TokenizerFactory - Interface in org.datavec.nlp.tokenization.tokenizerfactory
Generates a tokenizer for a given string
tokenizerFactory - Variable in class org.datavec.nlp.vectorizer.TextVectorizer
 
tokenizerFactory - Variable in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
 
tokenizerFactory - Variable in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
 
tokenizerFactory - Variable in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
 
tokenizerFactory(TokenizerFactory) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder
The TokenizerFactory that should be used.
tokenizerFactory(TokenizerFactory) - Method in class org.deeplearning4j.models.glove.Glove.Builder
Sets TokenizerFactory to be used for training
tokenizerFactory(TokenizerFactory) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method defines TokenizerFactory to be used for strings tokenization during training PLEASE NOTE: If external VocabCache is used, the same TokenizerFactory should be used to keep derived tokens equal.
tokenizerFactory - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer.Builder
 
tokenizerFactory(TokenizerFactory) - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer.Builder
 
tokenizerFactory - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer
 
tokenizerFactory - Variable in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
 
tokenizerFactory(TokenizerFactory) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method defines TokenizerFactory to be used for strings tokenization during training PLEASE NOTE: If external VocabCache is used, the same TokenizerFactory should be used to keep derived tokens equal.
tokenizerFactory - Variable in class org.deeplearning4j.models.word2vec.Word2Vec
 
tokenizerFactory - Variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
 
tokenizerFactory(TokenizerFactory) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
Specifies TokenizerFactory to be used for tokenization PLEASE NOTE: You can't use anonymous implementation here
tokenizerFactory(String) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
Specifies TokenizerFactory class to be used for tokenization
tokenizerFactory - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.BaseTokenizerFunction
 
TokenizerFactory - Interface in org.deeplearning4j.text.tokenization.tokenizerfactory
Generates a tokenizer for a given string
TokenizerFunction - Class in org.deeplearning4j.spark.models.sequencevectors.functions
 
TokenizerFunction(Broadcast<VectorsConfiguration>) - Constructor for class org.deeplearning4j.spark.models.sequencevectors.functions.TokenizerFunction
 
TokenizerFunction - Class in org.deeplearning4j.spark.text.functions
Tokenizer function
TokenizerFunction(String, String, int) - Constructor for class org.deeplearning4j.spark.text.functions.TokenizerFunction
 
TokenizerMode - Enum in org.deeplearning4j.nn.modelimport.keras.preprocessing.text
 
tokenizeToStringArray(String, String) - Static method in class org.nd4j.linalg.io.StringUtils
 
tokenizeToStringArray(String, String, boolean, boolean) - Static method in class org.nd4j.linalg.io.StringUtils
 
TokenPreProcess - Interface in org.datavec.nlp.tokenization.tokenizer
Token preprocessing
TokenPreProcess - Interface in org.deeplearning4j.text.tokenization.tokenizer
Token preprocessing
tokenPreprocessor(String) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
Specifies TokenPreProcessor class to be used during tokenization
tokenPreprocessor - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.BaseTokenizerFunction
 
tokens() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Returns collection of SequenceElements from this vocabulary.
tokens - Variable in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
tokens() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
tokens() - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
All of the tokens in the cache, (not necessarily apart of the vocab)
toLabelMatrix(List<String>, List<Window>) - Static method in class org.deeplearning4j.text.movingwindow.WordConverter
 
toLabelMatrix(List<String>) - Method in class org.deeplearning4j.text.movingwindow.WordConverter
 
toLanguageTag(Locale) - Static method in class org.nd4j.linalg.io.StringUtils
 
tolerance(double) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
 
tolerance - Variable in class org.deeplearning4j.plot.BarnesHutTsne
 
tolerance - Variable in class org.deeplearning4j.plot.Tsne.Builder
 
tolerance(double) - Method in class org.deeplearning4j.plot.Tsne.Builder
 
tolerance - Variable in class org.deeplearning4j.plot.Tsne
 
toList(String[]) - Static method in class org.datavec.spark.transform.DataFrames
Convert a string array into a list
toList(int...) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
toLong() - Method in class org.datavec.api.conf.Configuration
 
toLong() - Method in class org.datavec.api.formats.input.BaseInputFormat
 
toLong() - Method in class org.datavec.api.formats.input.impl.ListStringInputFormat
Convert Writable to long.
toLong() - Method in class org.datavec.api.writable.ArrayWritable
 
toLong() - Method in class org.datavec.api.writable.BooleanWritable
 
toLong() - Method in class org.datavec.api.writable.ByteWritable
 
toLong() - Method in class org.datavec.api.writable.DoubleWritable
 
toLong() - Method in class org.datavec.api.writable.FloatWritable
 
toLong() - Method in class org.datavec.api.writable.IntWritable
 
toLong() - Method in class org.datavec.api.writable.LongWritable
 
toLong() - Method in class org.datavec.api.writable.NullWritable
 
toLong() - Method in class org.datavec.api.writable.Text
 
toLong() - Method in interface org.datavec.api.writable.Writable
Convert Writable to long.
toLong() - Method in class org.datavec.image.data.ImageWritable
 
toLong(String) - Method in class org.nd4j.tools.PropertyParser
Get property.
toLong(String, long) - Method in class org.nd4j.tools.PropertyParser
Get property.
toLongArray(int[]) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
toLongMatrix() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
toLongMatrix() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
toLongMatrix() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Convert this ndarray to a 2d int matrix.
toLongs(int[]) - Static method in class org.nd4j.linalg.util.LongUtils
 
toLongs(INDArray) - Static method in class org.nd4j.linalg.util.NDArrayUtil
 
toLongVector() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
toLongVector() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
toLongVector() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
 
toLowerCase(String) - Static method in class org.nd4j.util.StringUtils
Converts all of the characters in this String to lower case with Locale.ENGLISH.
toMatrix(List<List<Writable>>) - Static method in class org.datavec.api.util.ndarray.RecordConverter
Convert a set of records in to a matrix
toMatrix(List<Row>) - Static method in class org.datavec.spark.transform.DataFrames
Convert a list of rows to a matrix
toMatrix(Matrix) - Static method in class org.deeplearning4j.spark.util.MLLibUtil
Convert an ndarray to a matrix.
toMatrix(INDArray) - Static method in class org.deeplearning4j.spark.util.MLLibUtil
Convert an ndarray to a matrix.
toMdsValues() - Method in enum org.deeplearning4j.datasets.iterator.RandomDataSetIterator.Values
 
toMinibatchArray(List<? extends Writable>) - Static method in class org.datavec.api.util.ndarray.RecordConverter
Convert a record to an INDArray, for use in minibatch training.
toMmulCompatible(INDArray) - Static method in class org.nd4j.linalg.api.shape.Shape
This method is used in DL4J LSTM implementation
toMultiDataSet(DataSet) - Static method in class org.deeplearning4j.nn.graph.util.ComputationGraphUtil
Convert a DataSet to the equivalent MultiDataSet
toMultiDataSetIterator(DataSetIterator) - Static method in class org.deeplearning4j.nn.graph.util.ComputationGraphUtil
Convert a DataSetIterator to a MultiDataSetIterator, via an adaptor class
toMultiValueMap(Map<K, List<V>>) - Static method in class org.nd4j.linalg.io.CollectionUtils
 
toNDArray(int[][]) - Static method in class org.nd4j.linalg.util.NDArrayUtil
 
toNDArray(int[]) - Static method in class org.nd4j.linalg.util.NDArrayUtil
 
toNDArray(long[]) - Static method in class org.nd4j.linalg.util.NDArrayUtil
 
toNpyByteArray(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
Converts an INDArray to a byte array
toObjectArray(Object) - Static method in class org.nd4j.linalg.io.ObjectUtils
 
toOffsetZero(INDArray) - Static method in class org.nd4j.linalg.api.shape.Shape
Create a copy of the matrix where the new offset is zero
toOffsetZeroCopy(INDArray) - Static method in class org.nd4j.linalg.api.shape.Shape
Create a copy of the ndarray where the new offset is zero
toOffsetZeroCopy(INDArray, char) - Static method in class org.nd4j.linalg.api.shape.Shape
Create a copy of the ndarray where the new offset is zero, and has specified order
toOffsetZeroCopyAnyOrder(INDArray) - Static method in class org.nd4j.linalg.api.shape.Shape
Create a copy of the ndarray where the new offset is zero.
toOutcomeArray(int, int) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
toOutcomeMatrix(int[], long) - Static method in class org.nd4j.linalg.util.FeatureUtil
Creates an out come vector from the specified inputs
toOutcomeVector(long, long) - Static method in class org.nd4j.linalg.util.FeatureUtil
Creates an out come vector from the specified inputs
TopManyPointsProcessorChain - Class in org.datavec.audio.processor
 
TopManyPointsProcessorChain(double[][], int) - Constructor for class org.datavec.audio.processor.TopManyPointsProcessorChain
 
topN - Variable in class org.deeplearning4j.eval.Evaluation
 
topNAccuracy() - Method in class org.deeplearning4j.eval.Evaluation
Top N accuracy of the predictions so far.
topNCorrectCount - Variable in class org.deeplearning4j.eval.Evaluation
 
topNTotalCount - Variable in class org.deeplearning4j.eval.Evaluation
 
toPoints(INDArray) - Static method in class org.deeplearning4j.clustering.cluster.Point
 
toPoints(List<INDArray>) - Static method in class org.deeplearning4j.clustering.cluster.Point
 
topologicalOrder - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
 
topologicalOrder - Variable in class org.deeplearning4j.nn.graph.ComputationGraph
Indexes of graph vertices, in topological order.
topologicalOrderStr - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
 
topologicalSortOrder() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Calculate a topological sort order for the vertices in the graph.
toPoolingType() - Method in enum org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.PoolingType
 
toPoolingType() - Method in enum org.deeplearning4j.nn.conf.layers.SubsamplingLayer.PoolingType
 
toProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.Conv1DConfig
 
toProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.Conv2DConfig
 
toProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.Conv3DConfig
 
toProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.DeConv2DConfig
 
toProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.FullConv3DConfig
 
toProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.LocalResponseNormalizationConfig
 
toProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.Pooling2DConfig
 
toProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.config.Pooling3DConfig
 
toProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.config.GRUCellConfiguration
 
toProperties() - Method in class org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMCellConfiguration
 
toRaveledTensor(File) - Method in class org.datavec.image.loader.ImageLoader
Changes the input stream in to an bgr based raveled(flattened) vector
toRaveledTensor(InputStream) - Method in class org.datavec.image.loader.ImageLoader
Changes the input stream in to an bgr based raveled(flattened) vector
toRaveledTensor(BufferedImage) - Method in class org.datavec.image.loader.ImageLoader
Convert an image in to a raveled tensor of the bgr values of the image
toRecord(INDArray) - Static method in class org.datavec.api.util.ndarray.RecordConverter
Convert an ndarray to a record
toRecord(Schema, List<Object>) - Static method in class org.datavec.api.util.ndarray.RecordConverter
Convert a collection into a `List`, i.e.
toRecord(double[]) - Static method in class org.datavec.api.util.RecordUtils
 
toRecord(float[]) - Static method in class org.datavec.api.util.RecordUtils
 
ToRecord - Class in org.datavec.spark.transform.sparkfunction
Converts a row to a record
ToRecord() - Constructor for class org.datavec.spark.transform.sparkfunction.ToRecord
 
toRecords(INDArray) - Static method in class org.datavec.api.util.ndarray.RecordConverter
Convert a set of records in to a matrix
toRecords(DataSet) - Static method in class org.datavec.api.util.ndarray.RecordConverter
Convert a DataSet to a matrix
toRecords(DataRowsFacade) - Static method in class org.datavec.spark.transform.DataFrames
Create a compatible schema and rdd for datavec
toRecordsSequence(DataRowsFacade) - Static method in class org.datavec.spark.transform.DataFrames
Convert the given DataFrame to a sequence
Note: It is assumed here that the DataFrame has been created by DataFrames.toDataFrameSequence(Schema, JavaRDD).
toResponse(Throwable) - Method in class org.deeplearning4j.ui.exception.GenericExceptionMapper
 
toResponse(JsonProcessingException) - Method in class org.deeplearning4j.ui.exception.JsonExceptionMapper
 
ToRow - Class in org.datavec.spark.transform.sparkfunction
Convert a record to a row
ToRow(Schema) - Constructor for class org.datavec.spark.transform.sparkfunction.ToRow
 
toSentenceList(char[]) - Method in class org.ansj.app.summary.SummaryComputer
 
toShapeBuffer(Nd4jCpu.ShapeInformation) - Static method in class org.nd4j.nativeblas.Nd4jCpu
Returns a shape buffer for the shape information metadata.
toShapeBuffer(Nd4jCpu.ShapeInformation, LongPointer) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
toShapeBuffer(Nd4jCpu.ShapeInformation, LongBuffer) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
toShapeBuffer(Nd4jCpu.ShapeInformation, long[]) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
toShapeBuffer(Nd4jCuda.ShapeInformation) - Static method in class org.nd4j.nativeblas.Nd4jCuda
Returns a shape buffer for the shape information metadata.
toShapeBuffer(Nd4jCuda.ShapeInformation, LongPointer) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
toShapeBuffer(Nd4jCuda.ShapeInformation, LongBuffer) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
toShapeBuffer(Nd4jCuda.ShapeInformation, long[]) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
toSingleValueMap() - Method in class org.nd4j.linalg.util.LinkedMultiValueMap
 
toSingleValueMap() - Method in interface org.nd4j.linalg.util.MultiValueMap
 
toStream(String) - Method in class org.ansj.dic.impl.File2Stream
 
toStream(String) - Method in class org.ansj.dic.impl.Jar2Stream
 
toStream(String) - Method in class org.ansj.dic.impl.Jdbc2Stream
 
toStream(String) - Method in class org.ansj.dic.impl.Url2Stream
 
toStream(String) - Method in class org.ansj.dic.PathToStream
 
toString() - Method in class com.atilika.kuromoji.buffer.FeatureInfoMap
 
toString() - Method in class com.atilika.kuromoji.TokenBase
 
toString() - Method in class com.atilika.kuromoji.trie.PatriciaTrie.PatriciaNode
toString() - Method in class org.ansj.app.crf.pojo.Element
 
toString() - Method in class org.ansj.app.keyword.Keyword
 
toString() - Method in class org.ansj.app.summary.SummaryComputer.Sentence
 
toString() - Method in class org.ansj.domain.Nature
 
toString() - Method in class org.ansj.domain.NewWord
 
toString() - Method in class org.ansj.domain.PersonNatureAttr
 
toString() - Method in class org.ansj.domain.Result
 
toString(String) - Method in class org.ansj.domain.Result
 
toString() - Method in class org.ansj.domain.Term
 
toString() - Method in class org.ansj.domain.TermNature
 
toString() - Method in class org.ansj.recognition.impl.NatureRecognition.NatureTerm
 
toString() - Method in class org.datavec.api.conf.Configuration.IntegerRanges
 
toString() - Method in class org.datavec.api.conf.Configuration
 
toString() - Method in class org.datavec.api.records.Buffer
 
toString(String) - Method in class org.datavec.api.records.Buffer
Convert the byte buffer to a string an specific character encoding
toString() - Method in class org.datavec.api.records.metadata.RecordMetaDataJdbc
 
toString() - Method in class org.datavec.api.transform.analysis.columns.BytesAnalysis
 
toString() - Method in class org.datavec.api.transform.analysis.columns.CategoricalAnalysis
 
toString() - Method in class org.datavec.api.transform.analysis.columns.DoubleAnalysis
 
toString() - Method in class org.datavec.api.transform.analysis.columns.IntegerAnalysis
 
toString() - Method in class org.datavec.api.transform.analysis.columns.LongAnalysis
 
toString() - Method in class org.datavec.api.transform.analysis.columns.NDArrayAnalysis
 
toString() - Method in class org.datavec.api.transform.analysis.columns.NumericalColumnAnalysis
 
toString() - Method in class org.datavec.api.transform.analysis.columns.StringAnalysis
 
toString() - Method in class org.datavec.api.transform.analysis.columns.TimeAnalysis
 
toString() - Method in class org.datavec.api.transform.analysis.counter.StatCounter
 
toString() - Method in class org.datavec.api.transform.analysis.DataAnalysis
 
toString() - Method in class org.datavec.api.transform.analysis.sequence.SequenceLengthAnalysis
 
toString() - Method in class org.datavec.api.transform.analysis.SequenceDataAnalysis
 
toString() - Method in class org.datavec.api.transform.condition.BooleanCondition
 
toString() - Method in class org.datavec.api.transform.condition.column.BaseColumnCondition
 
toString() - Method in class org.datavec.api.transform.condition.column.BooleanColumnCondition
 
toString() - Method in class org.datavec.api.transform.condition.column.CategoricalColumnCondition
 
toString() - Method in class org.datavec.api.transform.condition.column.DoubleColumnCondition
 
toString() - Method in class org.datavec.api.transform.condition.column.FloatColumnCondition
 
toString() - Method in class org.datavec.api.transform.condition.column.InfiniteColumnCondition
 
toString() - Method in class org.datavec.api.transform.condition.column.IntegerColumnCondition
 
toString() - Method in class org.datavec.api.transform.condition.column.InvalidValueColumnCondition
 
toString() - Method in class org.datavec.api.transform.condition.column.LongColumnCondition
 
toString() - Method in class org.datavec.api.transform.condition.column.NaNColumnCondition
 
toString() - Method in class org.datavec.api.transform.condition.column.NullWritableColumnCondition
 
toString() - Method in class org.datavec.api.transform.condition.column.StringColumnCondition
 
toString() - Method in class org.datavec.api.transform.condition.column.TimeColumnCondition
 
toString() - Method in class org.datavec.api.transform.condition.column.TrivialColumnCondition
 
toString() - Method in class org.datavec.api.transform.condition.string.StringRegexColumnCondition
 
toString() - Method in class org.datavec.api.transform.DataAction
 
toString() - Method in class org.datavec.api.transform.filter.ConditionFilter
 
toString() - Method in class org.datavec.api.transform.metadata.BinaryMetaData
 
toString() - Method in class org.datavec.api.transform.metadata.BooleanMetaData
 
toString() - Method in class org.datavec.api.transform.metadata.CategoricalMetaData
 
toString() - Method in class org.datavec.api.transform.metadata.DoubleMetaData
 
toString() - Method in class org.datavec.api.transform.metadata.FloatMetaData
 
toString() - Method in class org.datavec.api.transform.metadata.IntegerMetaData
 
toString() - Method in class org.datavec.api.transform.metadata.LongMetaData
 
toString() - Method in class org.datavec.api.transform.metadata.StringMetaData
 
toString() - Method in class org.datavec.api.transform.metadata.TimeMetaData
 
toString() - Method in class org.datavec.api.transform.ndarray.NDArrayColumnsMathOpTransform
 
toString() - Method in class org.datavec.api.transform.ndarray.NDArrayDistanceTransform
 
toString() - Method in class org.datavec.api.transform.ndarray.NDArrayMathFunctionTransform
 
toString() - Method in class org.datavec.api.transform.ndarray.NDArrayScalarOpTransform
 
toString() - Method in class org.datavec.api.transform.quality.columns.BytesQuality
 
toString() - Method in class org.datavec.api.transform.quality.columns.CategoricalQuality
 
toString() - Method in class org.datavec.api.transform.quality.columns.ColumnQuality
 
toString() - Method in class org.datavec.api.transform.quality.columns.DoubleQuality
 
toString() - Method in class org.datavec.api.transform.quality.columns.IntegerQuality
 
toString() - Method in class org.datavec.api.transform.quality.columns.LongQuality
 
toString() - Method in class org.datavec.api.transform.quality.columns.StringQuality
 
toString() - Method in class org.datavec.api.transform.quality.columns.TimeQuality
 
toString() - Method in class org.datavec.api.transform.quality.DataQualityAnalysis
 
toString() - Method in class org.datavec.api.transform.rank.CalculateSortedRank
 
toString() - Method in class org.datavec.api.transform.reduce.Reducer
 
toString() - Method in class org.datavec.api.transform.schema.Schema
 
toString() - Method in class org.datavec.api.transform.schema.SequenceSchema
 
toString() - Method in class org.datavec.api.transform.sequence.comparator.NumericalColumnComparator
 
toString() - Method in class org.datavec.api.transform.sequence.ConvertFromSequence
 
toString() - Method in class org.datavec.api.transform.sequence.ConvertToSequence
 
toString() - Method in class org.datavec.api.transform.sequence.ReduceSequenceTransform
 
toString() - Method in class org.datavec.api.transform.sequence.split.SequenceSplitTimeSeparation
 
toString() - Method in class org.datavec.api.transform.sequence.split.SplitMaxLengthSequence
 
toString() - Method in class org.datavec.api.transform.sequence.window.OverlappingTimeWindowFunction
 
toString() - Method in class org.datavec.api.transform.sequence.window.ReduceSequenceByWindowTransform
 
toString() - Method in class org.datavec.api.transform.sequence.window.TimeWindowFunction
 
toString() - Method in class org.datavec.api.transform.stringreduce.StringReducer
 
toString() - Method in class org.datavec.api.transform.transform.BaseColumnsMathOpTransform
 
toString() - Method in class org.datavec.api.transform.transform.BaseColumnTransform
 
toString() - Method in class org.datavec.api.transform.transform.BaseTransform
 
toString() - Method in class org.datavec.api.transform.transform.categorical.CategoricalToOneHotTransform
 
toString() - Method in class org.datavec.api.transform.transform.categorical.IntegerToCategoricalTransform
 
toString() - Method in class org.datavec.api.transform.transform.categorical.StringToCategoricalTransform
 
toString() - Method in class org.datavec.api.transform.transform.column.DuplicateColumnsTransform
 
toString() - Method in class org.datavec.api.transform.transform.column.RemoveAllColumnsExceptForTransform
 
toString() - Method in class org.datavec.api.transform.transform.column.RemoveColumnsTransform
 
toString() - Method in class org.datavec.api.transform.transform.column.RenameColumnsTransform
 
toString() - Method in class org.datavec.api.transform.transform.column.ReorderColumnsTransform
 
toString() - Method in class org.datavec.api.transform.transform.condition.ConditionalCopyValueTransform
 
toString() - Method in class org.datavec.api.transform.transform.condition.ConditionalReplaceValueTransform
 
toString() - Method in class org.datavec.api.transform.transform.condition.ConditionalReplaceValueTransformWithDefault
 
toString() - Method in class org.datavec.api.transform.transform.doubletransform.ConvertToDouble
 
toString() - Method in class org.datavec.api.transform.transform.doubletransform.DoubleColumnsMathOpTransform
 
toString() - Method in class org.datavec.api.transform.transform.doubletransform.DoubleMathOpTransform
 
toString() - Method in class org.datavec.api.transform.transform.doubletransform.Log2Normalizer
 
toString() - Method in class org.datavec.api.transform.transform.doubletransform.MinMaxNormalizer
 
toString() - Method in class org.datavec.api.transform.transform.doubletransform.StandardizeNormalizer
 
toString() - Method in class org.datavec.api.transform.transform.doubletransform.SubtractMeanNormalizer
 
toString() - Method in class org.datavec.api.transform.transform.floattransform.ConvertToFloat
 
toString() - Method in class org.datavec.api.transform.transform.floattransform.FloatColumnsMathOpTransform
 
toString() - Method in class org.datavec.api.transform.transform.floattransform.FloatMathOpTransform
 
toString() - Method in class org.datavec.api.transform.transform.geo.CoordinatesDistanceTransform
 
toString() - Method in class org.datavec.api.transform.transform.geo.IPAddressToCoordinatesTransform
 
toString() - Method in class org.datavec.api.transform.transform.geo.IPAddressToLocationTransform
 
toString() - Method in class org.datavec.api.transform.transform.integer.ConvertToInteger
 
toString() - Method in class org.datavec.api.transform.transform.integer.IntegerColumnsMathOpTransform
 
toString() - Method in class org.datavec.api.transform.transform.integer.IntegerMathOpTransform
 
toString() - Method in class org.datavec.api.transform.transform.integer.IntegerToOneHotTransform
 
toString() - Method in class org.datavec.api.transform.transform.longtransform.LongColumnsMathOpTransform
 
toString() - Method in class org.datavec.api.transform.transform.longtransform.LongMathOpTransform
 
toString() - Method in class org.datavec.api.transform.transform.parse.ParseDoubleTransform
 
toString() - Method in class org.datavec.api.transform.transform.sequence.SequenceMovingWindowReduceTransform
 
toString() - Method in class org.datavec.api.transform.transform.string.AppendStringColumnTransform
 
toString() - Method in class org.datavec.api.transform.transform.string.ConcatenateStringColumns
 
toString() - Method in class org.datavec.api.transform.transform.string.StringListToCategoricalSetTransform
 
toString() - Method in class org.datavec.api.transform.transform.string.StringListToCountsNDArrayTransform
 
toString() - Method in class org.datavec.api.transform.transform.time.DeriveColumnsFromTimeTransform.DerivedColumn
 
toString() - Method in class org.datavec.api.transform.transform.time.DeriveColumnsFromTimeTransform
 
toString() - Method in class org.datavec.api.transform.transform.time.StringToTimeTransform
 
toString() - Method in class org.datavec.api.transform.transform.time.TimeMathOpTransform
 
toString() - Method in class org.datavec.api.writable.BooleanWritable
 
toString() - Method in class org.datavec.api.writable.ByteWritable
 
toString() - Method in class org.datavec.api.writable.comparator.DoubleWritableComparator
 
toString() - Method in class org.datavec.api.writable.comparator.FloatWritableComparator
 
toString() - Method in class org.datavec.api.writable.comparator.IntWritableComparator
 
toString() - Method in class org.datavec.api.writable.comparator.LongWritableComparator
 
toString() - Method in class org.datavec.api.writable.comparator.TextWritableComparator
 
toString() - Method in class org.datavec.api.writable.DoubleWritable
 
toString() - Method in class org.datavec.api.writable.FloatWritable
 
toString() - Method in class org.datavec.api.writable.IntWritable
 
toString() - Method in class org.datavec.api.writable.LongWritable
 
toString() - Method in class org.datavec.api.writable.NDArrayWritable
 
toString() - Method in class org.datavec.api.writable.NullWritable
 
toString() - Method in class org.datavec.api.writable.Text
Convert text back to string
toString() - Method in class org.datavec.audio.Wave
 
toString() - Method in class org.datavec.audio.WaveHeader
 
toString() - Method in class org.datavec.nlp.movingwindow.Window
 
toString(Collection<Writable>) - Method in class org.datavec.nlp.vectorizer.TextVectorizer
 
toString() - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace
 
toString() - Method in class org.deeplearning4j.arbiter.ComputationGraphSpace
 
toString() - Method in class org.deeplearning4j.arbiter.layers.AbstractLSTMLayerSpace
 
toString(String) - Method in class org.deeplearning4j.arbiter.layers.AbstractLSTMLayerSpace
 
toString() - Method in class org.deeplearning4j.arbiter.layers.ActivationLayerSpace
 
toString(String) - Method in class org.deeplearning4j.arbiter.layers.ActivationLayerSpace
 
toString() - Method in class org.deeplearning4j.arbiter.layers.AutoEncoderLayerSpace
 
toString(String) - Method in class org.deeplearning4j.arbiter.layers.AutoEncoderLayerSpace
 
toString() - Method in class org.deeplearning4j.arbiter.layers.BaseConvolutionLayerSpace
 
toString(String) - Method in class org.deeplearning4j.arbiter.layers.BaseConvolutionLayerSpace
 
toString() - Method in class org.deeplearning4j.arbiter.layers.BaseLayerSpace
 
toString(String) - Method in class org.deeplearning4j.arbiter.layers.BaseLayerSpace
 
toString() - Method in class org.deeplearning4j.arbiter.layers.BatchNormalizationSpace
 
toString(String) - Method in class org.deeplearning4j.arbiter.layers.BatchNormalizationSpace
 
toString() - Method in class org.deeplearning4j.arbiter.layers.ConvolutionLayerSpace
 
toString(String) - Method in class org.deeplearning4j.arbiter.layers.ConvolutionLayerSpace
 
toString() - Method in class org.deeplearning4j.arbiter.layers.DenseLayerSpace
 
toString(String) - Method in class org.deeplearning4j.arbiter.layers.DenseLayerSpace
 
toString() - Method in class org.deeplearning4j.arbiter.layers.EmbeddingLayerSpace
 
toString(String) - Method in class org.deeplearning4j.arbiter.layers.EmbeddingLayerSpace
 
toString() - Method in class org.deeplearning4j.arbiter.layers.FeedForwardLayerSpace
 
toString(String) - Method in class org.deeplearning4j.arbiter.layers.FeedForwardLayerSpace
 
toString() - Method in class org.deeplearning4j.arbiter.layers.GravesBidirectionalLSTMLayerSpace
 
toString(String) - Method in class org.deeplearning4j.arbiter.layers.GravesBidirectionalLSTMLayerSpace
 
toString() - Method in class org.deeplearning4j.arbiter.layers.GravesLSTMLayerSpace
 
toString(String) - Method in class org.deeplearning4j.arbiter.layers.GravesLSTMLayerSpace
 
toString() - Method in class org.deeplearning4j.arbiter.layers.LayerSpace
 
toString(String) - Method in class org.deeplearning4j.arbiter.layers.LayerSpace
 
toString() - Method in class org.deeplearning4j.arbiter.layers.LSTMLayerSpace
 
toString(String) - Method in class org.deeplearning4j.arbiter.layers.LSTMLayerSpace
 
toString() - Method in class org.deeplearning4j.arbiter.layers.OutputLayerSpace
 
toString(String) - Method in class org.deeplearning4j.arbiter.layers.OutputLayerSpace
 
toString() - Method in class org.deeplearning4j.arbiter.layers.RnnOutputLayerSpace
 
toString(String) - Method in class org.deeplearning4j.arbiter.layers.RnnOutputLayerSpace
 
toString() - Method in class org.deeplearning4j.arbiter.layers.SubsamplingLayerSpace
 
toString(String) - Method in class org.deeplearning4j.arbiter.layers.SubsamplingLayerSpace
 
toString() - Method in class org.deeplearning4j.arbiter.layers.VariationalAutoencoderLayerSpace
 
toString(String) - Method in class org.deeplearning4j.arbiter.layers.VariationalAutoencoderLayerSpace
 
toString() - Method in class org.deeplearning4j.arbiter.MultiLayerSpace
 
toString() - Method in class org.deeplearning4j.arbiter.optimize.api.adapter.ParameterSpaceAdapter
 
toString() - Method in class org.deeplearning4j.arbiter.optimize.api.termination.MaxCandidatesCondition
 
toString() - Method in class org.deeplearning4j.arbiter.optimize.api.termination.MaxTimeCondition
 
toString() - Method in class org.deeplearning4j.arbiter.optimize.distribution.LogUniformDistribution
 
toString() - Method in class org.deeplearning4j.arbiter.optimize.generator.GridSearchCandidateGenerator
 
toString() - Method in class org.deeplearning4j.arbiter.optimize.generator.RandomSearchGenerator
 
toString() - Method in class org.deeplearning4j.arbiter.optimize.parameter.BooleanSpace
 
toString() - Method in class org.deeplearning4j.arbiter.optimize.parameter.continuous.ContinuousParameterSpace
 
toString() - Method in class org.deeplearning4j.arbiter.optimize.parameter.discrete.DiscreteParameterSpace
 
toString() - Method in class org.deeplearning4j.arbiter.optimize.parameter.FixedValue
 
toString() - Method in class org.deeplearning4j.arbiter.optimize.parameter.integer.IntegerParameterSpace
 
toString() - Method in class org.deeplearning4j.arbiter.saver.local.FileModelSaver
 
toString() - Method in class org.deeplearning4j.arbiter.saver.local.LocalFileNetResultReference
 
toString() - Method in class org.deeplearning4j.arbiter.scoring.impl.EvaluationScoreFunction
 
toString() - Method in class org.deeplearning4j.arbiter.scoring.impl.RegressionScoreFunction
 
toString() - Method in class org.deeplearning4j.arbiter.scoring.impl.ROCScoreFunction
 
toString() - Method in class org.deeplearning4j.arbiter.scoring.impl.TestSetAccuracyScoreFunction
Deprecated.
 
toString() - Method in class org.deeplearning4j.arbiter.scoring.impl.TestSetF1ScoreFunction
Deprecated.
 
toString() - Method in class org.deeplearning4j.arbiter.scoring.impl.TestSetLossScoreFunction
 
toString() - Method in class org.deeplearning4j.arbiter.scoring.impl.TestSetRegressionScoreFunction
Deprecated.
 
toString() - Method in class org.deeplearning4j.earlystopping.EarlyStoppingResult
 
toString() - Method in class org.deeplearning4j.earlystopping.saver.InMemoryModelSaver
 
toString() - Method in class org.deeplearning4j.earlystopping.saver.LocalFileGraphSaver
 
toString() - Method in class org.deeplearning4j.earlystopping.saver.LocalFileModelSaver
 
toString() - Method in class org.deeplearning4j.earlystopping.scorecalc.DataSetLossCalculator
 
toString() - Method in class org.deeplearning4j.earlystopping.scorecalc.DataSetLossCalculatorCG
Deprecated.
 
toString() - Method in class org.deeplearning4j.earlystopping.termination.BestScoreEpochTerminationCondition
 
toString() - Method in class org.deeplearning4j.earlystopping.termination.InvalidScoreIterationTerminationCondition
 
toString() - Method in class org.deeplearning4j.earlystopping.termination.MaxEpochsTerminationCondition
 
toString() - Method in class org.deeplearning4j.earlystopping.termination.MaxScoreIterationTerminationCondition
 
toString() - Method in class org.deeplearning4j.earlystopping.termination.MaxTimeIterationTerminationCondition
 
toString() - Method in class org.deeplearning4j.earlystopping.termination.ScoreImprovementEpochTerminationCondition
 
toString() - Method in class org.deeplearning4j.eval.BaseEvaluation
 
toString() - Method in class org.deeplearning4j.eval.ConfusionMatrix
 
toString() - Method in class org.deeplearning4j.eval.meta.Prediction
 
toString() - Method in class org.deeplearning4j.graph.api.Edge
 
toString() - Method in class org.deeplearning4j.graph.api.Vertex
 
toString() - Method in class org.deeplearning4j.graph.graph.Graph
 
toString() - Method in class org.deeplearning4j.malmo.MalmoBox
 
toString() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
toString() - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Edge
 
toString() - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
 
toString() - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Vertex
 
toString() - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
 
toString() - Method in class org.deeplearning4j.models.word2vec.VocabWord
 
toString() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
toString() - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
 
toString() - Method in class org.deeplearning4j.nn.conf.distribution.BinomialDistribution
 
toString() - Method in class org.deeplearning4j.nn.conf.distribution.ConstantDistribution
 
toString() - Method in class org.deeplearning4j.nn.conf.distribution.LogNormalDistribution
 
toString() - Method in class org.deeplearning4j.nn.conf.distribution.NormalDistribution
 
toString() - Method in class org.deeplearning4j.nn.conf.distribution.OrthogonalDistribution
 
toString() - Method in class org.deeplearning4j.nn.conf.distribution.TruncatedNormalDistribution
 
toString() - Method in class org.deeplearning4j.nn.conf.distribution.UniformDistribution
 
toString() - Method in class org.deeplearning4j.nn.conf.graph.MergeVertex
 
toString() - Method in class org.deeplearning4j.nn.conf.graph.rnn.LastTimeStepVertex
 
toString() - Method in class org.deeplearning4j.nn.conf.graph.rnn.ReverseTimeSeriesVertex
 
toString() - Method in class org.deeplearning4j.nn.conf.graph.StackVertex
 
toString() - Method in class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeConvolutional
 
toString() - Method in class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeConvolutional3D
 
toString() - Method in class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeConvolutionalFlat
 
toString() - Method in class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeFeedForward
 
toString() - Method in class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeRecurrent
 
toString() - Method in class org.deeplearning4j.nn.conf.inputs.InputType
 
toString() - Method in class org.deeplearning4j.nn.conf.layers.util.MaskLayer
 
toString() - Method in class org.deeplearning4j.nn.conf.layers.util.MaskZeroLayer
 
toString() - Method in class org.deeplearning4j.nn.conf.layers.variational.BernoulliReconstructionDistribution
 
toString() - Method in class org.deeplearning4j.nn.conf.layers.variational.ExponentialReconstructionDistribution
 
toString() - Method in class org.deeplearning4j.nn.conf.layers.variational.GaussianReconstructionDistribution
 
toString() - Method in class org.deeplearning4j.nn.conf.layers.variational.LossFunctionWrapper
 
toString() - Method in class org.deeplearning4j.nn.conf.memory.LayerMemoryReport
 
toString() - Method in class org.deeplearning4j.nn.conf.memory.MemoryReport
 
toString() - Method in class org.deeplearning4j.nn.conf.memory.NetworkMemoryReport
 
toString() - Method in class org.deeplearning4j.nn.conf.MultiLayerConfiguration
 
toString() - Method in class org.deeplearning4j.nn.conf.stepfunctions.DefaultStepFunction
 
toString() - Method in class org.deeplearning4j.nn.conf.stepfunctions.GradientStepFunction
 
toString() - Method in class org.deeplearning4j.nn.conf.stepfunctions.NegativeDefaultStepFunction
 
toString() - Method in class org.deeplearning4j.nn.conf.stepfunctions.NegativeGradientStepFunction
 
toString() - Method in class org.deeplearning4j.nn.gradient.DefaultGradient
 
toString() - Method in class org.deeplearning4j.nn.graph.vertex.BaseGraphVertex
 
toString() - Method in class org.deeplearning4j.nn.graph.vertex.impl.ElementWiseVertex
 
toString() - Method in class org.deeplearning4j.nn.graph.vertex.impl.InputVertex
 
toString() - Method in class org.deeplearning4j.nn.graph.vertex.impl.L2NormalizeVertex
 
toString() - Method in class org.deeplearning4j.nn.graph.vertex.impl.L2Vertex
 
toString() - Method in class org.deeplearning4j.nn.graph.vertex.impl.LayerVertex
 
toString() - Method in class org.deeplearning4j.nn.graph.vertex.impl.MergeVertex
 
toString() - Method in class org.deeplearning4j.nn.graph.vertex.impl.PoolHelperVertex
 
toString() - Method in class org.deeplearning4j.nn.graph.vertex.impl.PreprocessorVertex
 
toString() - Method in class org.deeplearning4j.nn.graph.vertex.impl.ReshapeVertex
 
toString() - Method in class org.deeplearning4j.nn.graph.vertex.impl.rnn.DuplicateToTimeSeriesVertex
 
toString() - Method in class org.deeplearning4j.nn.graph.vertex.impl.rnn.LastTimeStepVertex
 
toString() - Method in class org.deeplearning4j.nn.graph.vertex.impl.rnn.ReverseTimeSeriesVertex
 
toString() - Method in class org.deeplearning4j.nn.graph.vertex.impl.ScaleVertex
 
toString() - Method in class org.deeplearning4j.nn.graph.vertex.impl.ShiftVertex
 
toString() - Method in class org.deeplearning4j.nn.graph.vertex.impl.StackVertex
 
toString() - Method in class org.deeplearning4j.nn.graph.vertex.impl.SubsetVertex
 
toString() - Method in class org.deeplearning4j.nn.graph.vertex.impl.UnstackVertex
 
toString() - Method in class org.deeplearning4j.nn.graph.vertex.VertexIndices
 
toString() - Method in class org.deeplearning4j.nn.layers.BaseLayer
 
toString() - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
toString() - Method in class org.deeplearning4j.nn.layers.objdetect.DetectedObject
 
toString() - Method in class org.deeplearning4j.nn.layers.samediff.SameDiffGraphVertex
 
toString() - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
 
toString() - Method in class org.deeplearning4j.optimize.listeners.ScoreIterationListener
 
toString() - Method in class org.deeplearning4j.rl4j.network.ac.ActorCriticLoss
 
toString() - Method in class org.deeplearning4j.spark.impl.repartitioner.DefaultRepartitioner
 
toString() - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveChange
 
toString() - Method in class org.deeplearning4j.spark.models.sequencevectors.export.ExportContainer
 
toString() - Method in class org.deeplearning4j.text.movingwindow.Window
 
toString() - Method in class org.deeplearning4j.ui.components.chart.ChartHistogram
 
toString() - Method in class org.deeplearning4j.ui.components.chart.ChartHorizontalBar
 
toString() - Method in class org.deeplearning4j.ui.components.chart.ChartLine
 
toString() - Method in class org.deeplearning4j.ui.components.chart.ChartScatter
 
toString() - Method in class org.deeplearning4j.ui.components.chart.ChartStackedArea
 
toString() - Method in class org.deeplearning4j.ui.components.text.ComponentText
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingDecoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingEncoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.InitFieldsPresentDecoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder.ExtraMetaDataBytesDecoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder.MetaDataBytesDecoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.LayerNamesDecoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.ParamNamesDecoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder.HistogramCountsDecoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.SummaryStatDecoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Decoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Encoder
 
toString() - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage.SessionTypeId
 
toString() - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage.SessionTypeWorkerId
 
toString() - Method in class org.deeplearning4j.ui.storage.FileStatsStorage
 
toString() - Method in class org.deeplearning4j.ui.storage.InMemoryStatsStorage
 
toString() - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
 
toString() - Method in class org.deeplearning4j.zoo.util.ClassPrediction
 
toString() - Method in class org.nd4j.aeron.ipc.AeronConnectionInformation
 
toString() - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
toString() - Method in class org.nd4j.autodiff.samediff.SDVariable
 
toString() - Method in class org.nd4j.jita.allocator.impl.AllocationPoint
 
toString() - Method in class org.nd4j.linalg.activations.impl.ActivationCube
 
toString() - Method in class org.nd4j.linalg.activations.impl.ActivationELU
 
toString() - Method in class org.nd4j.linalg.activations.impl.ActivationHardSigmoid
 
toString() - Method in class org.nd4j.linalg.activations.impl.ActivationHardTanH
 
toString() - Method in class org.nd4j.linalg.activations.impl.ActivationIdentity
 
toString() - Method in class org.nd4j.linalg.activations.impl.ActivationLReLU
 
toString() - Method in class org.nd4j.linalg.activations.impl.ActivationPReLU
 
toString() - Method in class org.nd4j.linalg.activations.impl.ActivationRationalTanh
 
toString() - Method in class org.nd4j.linalg.activations.impl.ActivationRectifiedTanh
 
toString() - Method in class org.nd4j.linalg.activations.impl.ActivationReLU
 
toString() - Method in class org.nd4j.linalg.activations.impl.ActivationReLU6
 
toString() - Method in class org.nd4j.linalg.activations.impl.ActivationRReLU
 
toString() - Method in class org.nd4j.linalg.activations.impl.ActivationSELU
 
toString() - Method in class org.nd4j.linalg.activations.impl.ActivationSigmoid
 
toString() - Method in class org.nd4j.linalg.activations.impl.ActivationSoftmax
 
toString() - Method in class org.nd4j.linalg.activations.impl.ActivationSoftPlus
 
toString() - Method in class org.nd4j.linalg.activations.impl.ActivationSoftSign
 
toString() - Method in class org.nd4j.linalg.activations.impl.ActivationSwish
 
toString() - Method in class org.nd4j.linalg.activations.impl.ActivationTanH
 
toString() - Method in class org.nd4j.linalg.activations.impl.ActivationThresholdedReLU
 
toString() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
toString() - Method in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
 
toString() - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
 
toString() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Generate string representation of the matrix.
toString() - Method in class org.nd4j.linalg.api.ops.BaseOp
 
toString() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
 
toString() - Method in class org.nd4j.linalg.api.ops.exception.BlasOpErrorMessage
 
toString() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.If
 
toString() - Method in class org.nd4j.linalg.api.ops.impl.controlflow.While
 
toString() - Method in class org.nd4j.linalg.api.ops.impl.shape.Stack
 
toString() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.BaseTensorOp
 
toString() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayConcatV3
 
toString() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayGatherV3
 
toString() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayScatterV3
 
toString() - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayV3
 
toString() - Method in class org.nd4j.linalg.api.ops.impl.transforms.temp.ExternalErrorsFunction
 
toString() - Method in class org.nd4j.linalg.api.shape.LongShapeDescriptor
 
toString(IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
To String for an int buffer
toString(DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
To String for an int buffer
toString() - Method in class org.nd4j.linalg.api.shape.ShapeDescriptor
 
toString() - Method in class org.nd4j.linalg.api.shape.SparseDescriptor
 
toString() - Method in class org.nd4j.linalg.collection.MultiDimensionalMap
 
toString() - Method in class org.nd4j.linalg.dataset.DataSet
 
toString() - Method in class org.nd4j.linalg.dataset.MultiDataSet
 
toString() - Method in class org.nd4j.linalg.factory.Nd4jBackend
 
toString() - Method in class org.nd4j.linalg.indexing.NDArrayIndex
 
toString() - Method in class org.nd4j.linalg.io.AbstractResource
 
toString() - Method in class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
toString() - Method in class org.nd4j.linalg.jcublas.CublasPointer
 
toString() - Method in class org.nd4j.linalg.jcublas.JCublasNDArray
Generate string representation of the matrix.
toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT
 
toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossCosineProximity
 
toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossFMeasure
 
toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossHinge
 
toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossKLD
 
toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossL1
 
toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossL2
 
toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAE
 
toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAPE
 
toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMCXENT
 
toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity
 
toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSE
 
toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSLE
 
toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMultiLabel
 
toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossNegativeLogLikelihood
 
toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossPoisson
 
toString() - Method in class org.nd4j.linalg.lossfunctions.impl.LossSquaredHinge
 
toString() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
 
toString() - Method in class org.nd4j.linalg.primitives.Optional
 
toString() - Method in class org.nd4j.linalg.primitives.Pair
 
toString() - Method in class org.nd4j.linalg.profiler.data.primitives.StackDescriptor
 
toString() - Method in class org.nd4j.linalg.util.LinkedMultiValueMap
 
toString() - Method in class org.nd4j.list.BaseNDArrayList
 
toString() - Method in class org.nd4j.list.matrix.MatrixBaseNDArrayList
 
toString() - Method in class org.nd4j.list.NDArrayList
 
toString() - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArrayVector
 
toString() - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArrayVector
 
toString() - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArrayVector
 
toString() - Method in class org.nd4j.nativeblas.Nd4jCpu.IntVectorVector
 
toString() - Method in class org.nd4j.nativeblas.Nd4jCpu.LongVectorVector
 
toString() - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArrayVector
 
toString() - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArrayVector
 
toString() - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArrayVector
 
toString() - Method in class org.nd4j.nativeblas.Nd4jCuda.IntVectorVector
 
toString() - Method in class org.nd4j.nativeblas.Nd4jCuda.LongVectorVector
 
toString(String) - Method in class org.nd4j.tools.PropertyParser
Get property.
toString(String, String) - Method in class org.nd4j.tools.PropertyParser
Get property.
toString() - Method in class org.nd4j.util.Index
 
toStringArray(Collection<String>) - Static method in class org.nd4j.linalg.io.StringUtils
 
toStringArray(Enumeration<String>) - Static method in class org.nd4j.linalg.io.StringUtils
 
toStringWithOutNature() - Method in class org.ansj.domain.Result
返回没有词性的切分结果
toStringWithOutNature(String) - Method in class org.ansj.domain.Result
返回没有词性的切分结果
toSummary() - Method in class org.ansj.app.summary.SummaryComputer
计算摘要,利用关键词抽取计算
toSummary(String) - Method in class org.ansj.app.summary.SummaryComputer
根据用户查询串计算摘要
toSummary(List<Keyword>) - Method in class org.ansj.app.summary.SummaryComputer
计算摘要,传入用户自己算好的关键词
TOTAL_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AllocatorMemoryUsed
 
TOTAL_FEATURES - Static variable in class com.atilika.kuromoji.ipadic.compile.DictionaryEntry
 
TOTAL_FRAMES - Static variable in class org.datavec.codec.reader.BaseCodecRecordReader
 
totalCandidateCount - Variable in class org.deeplearning4j.arbiter.optimize.runner.BaseOptimizationRunner
 
totalCount(int) - Method in class org.deeplearning4j.eval.EvaluationBinary
Get the total number of values for the specified column, accounting for any masking
totalCount - Variable in class org.nd4j.linalg.primitives.Counter
 
totalCount() - Method in class org.nd4j.linalg.primitives.Counter
This method returns total sum of counter values
totalEntries() - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleVariableSpace
 
totalEntries() - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatVariableSpace
 
totalEntries() - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfVariableSpace
 
totalEntries() - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleVariableSpace
 
totalEntries() - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatVariableSpace
 
totalEntries() - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfVariableSpace
 
totalExamples() - Method in interface org.deeplearning4j.datasets.iterator.DataSetFetcher
Deprecated.
The total number of examples
totalExamples - Variable in class org.deeplearning4j.datasets.iterator.DataSetIteratorSplitter
 
totalExamples - Variable in class org.deeplearning4j.datasets.iterator.MultiDataSetIteratorSplitter
 
totalExamples() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataFetcher
 
totalExamples() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
totalExamples(long) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
totalExamples - Variable in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher
 
totalExamples() - Method in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher
 
totalExamples() - Method in interface org.nd4j.linalg.dataset.api.iterator.fetcher.DataSetFetcher
The total number of examples
totalExamples() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator
Returns total number of examples in the dataset (all k folds)
totalExamplesId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
totalExamplesMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
totalExamplesMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
totalExamplesMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
totalExamplesMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
totalExamplesMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
totalExamplesNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
totalExamplesNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
totalFeatures - Variable in class com.atilika.kuromoji.TokenizerBase.Builder
 
totalFrames - Variable in class org.datavec.codec.reader.BaseCodecRecordReader
 
totalIterations - Variable in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
 
totalMemory() - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleVariableSpace
 
totalMemory() - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatVariableSpace
 
totalMemory() - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfVariableSpace
 
totalMemory() - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleVariableSpace
 
totalMemory() - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatVariableSpace
 
totalMemory() - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfVariableSpace
 
totalMemory - Variable in class org.nd4j.parameterserver.distributed.util.NetworkInformation
 
totalMinibatches() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
totalMinibatches(long) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
totalMinibatchesId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
totalMinibatchesMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
totalMinibatchesMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
totalMinibatchesMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
totalMinibatchesMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
totalMinibatchesMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
totalMinibatchesNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
totalMinibatchesNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
totalNumberOfDocs() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Returns total number of documents observed (if applicable)
totalNumberOfDocs() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
totalNumberOfDocs() - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Returns the total of number of documents encountered in the corpus
totalNumSentences() - Method in interface org.deeplearning4j.iterator.LabeledSentenceProvider
Return the total number of sentences, or -1 if not available
totalNumSentences() - Method in class org.deeplearning4j.iterator.provider.CollectionLabeledSentenceProvider
 
totalNumSentences() - Method in class org.deeplearning4j.iterator.provider.FileLabeledSentenceProvider
 
totalNumSentences() - Method in class org.deeplearning4j.iterator.provider.LabelAwareConverter
 
totalNumUpdates(int) - Method in class org.deeplearning4j.arbiter.ui.data.ModelInfoPersistable.Builder
 
totalOutcomes() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
totalOutcomes() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
 
totalOutcomes() - Method in class org.deeplearning4j.datasets.iterator.AbstractDataSetIterator
The number of labels for the dataset
totalOutcomes() - Method in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
The number of labels for the dataset
totalOutcomes() - Method in class org.deeplearning4j.datasets.iterator.AsyncShieldDataSetIterator
The number of labels for the dataset
totalOutcomes() - Method in class org.deeplearning4j.datasets.iterator.BaseDatasetIterator
 
totalOutcomes() - Method in interface org.deeplearning4j.datasets.iterator.DataSetFetcher
Deprecated.
The number of labels for a dataset
totalOutcomes() - Method in class org.deeplearning4j.datasets.iterator.EarlyTerminationDataSetIterator
 
totalOutcomes() - Method in class org.deeplearning4j.datasets.iterator.ExistingDataSetIterator
 
totalOutcomes() - Method in class org.deeplearning4j.datasets.iterator.file.FileDataSetIterator
 
totalOutcomes() - Method in class org.deeplearning4j.datasets.iterator.FileSplitDataSetIterator
 
totalOutcomes() - Method in class org.deeplearning4j.datasets.iterator.impl.BenchmarkDataSetIterator
 
totalOutcomes() - Method in class org.deeplearning4j.datasets.iterator.impl.ListDataSetIterator
 
totalOutcomes() - Method in class org.deeplearning4j.datasets.iterator.impl.SingletonDataSetIterator
 
totalOutcomes() - Method in class org.deeplearning4j.datasets.iterator.IteratorDataSetIterator
 
totalOutcomes() - Method in class org.deeplearning4j.datasets.iterator.loader.DataSetLoaderIterator
 
totalOutcomes() - Method in class org.deeplearning4j.datasets.iterator.MultiDataSetWrapperIterator
 
totalOutcomes() - Method in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
The number of labels for the dataset
totalOutcomes() - Method in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
totalOutcomes() - Method in class org.deeplearning4j.datasets.iterator.ReconstructionDataSetIterator
The number of labels for the dataset
totalOutcomes() - Method in class org.deeplearning4j.datasets.iterator.SamplingDataSetIterator
 
totalOutcomes() - Method in class org.deeplearning4j.datasets.iterator.WorkspacesShieldDataSetIterator
 
totalOutcomes() - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
 
totalOutcomes() - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
 
totalOutcomes() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataFetcher
 
totalOutcomes() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
 
totalOutcomes - Variable in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
 
totalOutcomes() - Method in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
 
totalOutcomes() - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualDataSetIterator
 
totalOutcomes() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator
 
totalOutcomes() - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator
 
totalOutcomes() - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator
The number of labels for the dataset
totalOutcomes() - Method in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher
 
totalOutcomes() - Method in interface org.nd4j.linalg.dataset.api.iterator.fetcher.DataSetFetcher
The number of labels for a dataset
totalOutcomes() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator
 
totalOutcomes() - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator
Deprecated.
The number of labels for the dataset
totalOutcomes() - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator
 
totalOutcomes() - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator
 
totalOutcomes() - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator
 
totalOutcomes() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
 
totalOutcomes() - Method in class org.nd4j.linalg.dataset.ViewIterator
 
totalRecordsWritten() - Method in class org.datavec.api.split.partition.NumberOfRecordsPartitioner
 
totalRecordsWritten() - Method in interface org.datavec.api.split.partition.Partitioner
Returns the total records written
totalRuntimeMs() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
totalRuntimeMs(long) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
totalRuntimeMsId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
totalRuntimeMsMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
totalRuntimeMsMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
totalRuntimeMsMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
totalRuntimeMsMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
totalRuntimeMsMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
totalRuntimeMsNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
totalRuntimeMsNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
totalsIncrement() - Method in class org.nd4j.linalg.profiler.data.StringCounter
 
totalSize() - Method in class org.nd4j.linalg.primitives.CounterMap
This method returns total number of elements in this CounterMap
totalUpdates() - Method in interface org.nd4j.aeron.ipc.NDArrayHolder
The number of updates that have been sent to this older.
totalUpdates() - Method in class org.nd4j.aeron.ndarrayholder.InMemoryNDArrayHolder
The number of updates that have been sent to this older.
totalWordOccurrences() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Returns total number of elements observed
totalWordOccurrences() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
The total number of word occurrences
totalWordOccurrences() - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
The total number of word occurrences
totalWords(int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam.Builder
Deprecated.
 
totalWords() - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Total number of words in the index
totalWordsBeyondLimit() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
 
toTensor(List<List<List<Writable>>>) - Static method in class org.datavec.api.util.ndarray.RecordConverter
Convert a set of records in to a matrix
toTensor(INDArray) - Static method in class org.nd4j.arrow.ArrowSerde
Convert an INDArray to an arrow Tensor
toText() - Method in class org.ansj.domain.AnsjItem
 
toTree(TreebankNode, Pair<String, MultiDimensionalMap<Integer, Integer, String>>) - Static method in class org.deeplearning4j.text.corpora.treeparser.TreeFactory
Converts a treebank node to a tree
toTree(TreebankNode) - Static method in class org.deeplearning4j.text.corpora.treeparser.TreeFactory
Converts a treebank node to a tree
touch() - Method in class org.deeplearning4j.optimize.solvers.accumulation.BasicGradientsAccumulator
This method does initialization of given worker wrt Thread-Device Affinity
touch() - Method in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
This method does initialization of given worker wrt Thread-Device Affinity
touch() - Method in interface org.deeplearning4j.optimize.solvers.accumulation.GradientsAccumulator
This method does initialization of given worker wrt Thread-Device Affinity
touch(INDArray) - Method in class org.nd4j.jita.concurrency.CudaAffinityManager
Utility method, to associate INDArray with specific device (backend-specific)
touch(DataBuffer) - Method in class org.nd4j.jita.concurrency.CudaAffinityManager
Utility method, to associate INDArray with specific device (backend-specific)
touch(INDArray) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager
Utility method, to associate INDArray with specific device (backend-specific)
touch(DataBuffer) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager
Utility method, to associate INDArray with specific device (backend-specific)
touch(INDArray) - Method in class org.nd4j.linalg.cpu.nativecpu.CpuAffinityManager
Utility method, to associate INDArray with specific device (backend-specific) Has no effect on CPU backend.
touch(DataBuffer) - Method in class org.nd4j.linalg.cpu.nativecpu.CpuAffinityManager
Utility method, to associate INDArray with specific device (backend-specific) Has no effect on CPU backend.
toUpperCase(String) - Static method in class org.nd4j.util.StringUtils
Converts all of the characters in this String to upper case with Locale.ENGLISH.
toURI(URL) - Static method in class org.nd4j.linalg.io.ResourceUtils
 
toURI(String) - Static method in class org.nd4j.linalg.io.ResourceUtils
 
toValue() - Method in class org.ansj.domain.Term
 
toVector(Vector) - Static method in class org.deeplearning4j.spark.util.MLLibUtil
Convert an ndarray to a vector
toVector(INDArray) - Static method in class org.deeplearning4j.spark.util.MLLibUtil
Convert an ndarray to a vector
toYaml() - Method in class org.datavec.api.transform.analysis.DataAnalysis
Convert the DataAnalysis object to YAML format
toYaml() - Method in class org.datavec.api.transform.schema.Schema
Serialize this schema to yaml
toYaml() - Method in class org.datavec.api.transform.TransformProcess
Convert the TransformProcess to a YAML string
toYaml() - Method in class org.datavec.image.transform.ImageTransformProcess
Convert the ImageTransformProcess to a YAML string
toYaml() - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace
Return a yaml configuration of this configuration space.
toYaml() - Method in class org.deeplearning4j.arbiter.DL4JConfiguration
Yaml mapping
toYaml() - Method in class org.deeplearning4j.arbiter.GraphConfiguration
Yaml mapping
toYaml() - Method in class org.deeplearning4j.arbiter.optimize.config.OptimizationConfiguration
Return a yaml configuration of this optimization configuration
toYaml() - Method in class org.deeplearning4j.eval.BaseEvaluation
 
toYaml() - Method in class org.deeplearning4j.eval.curves.BaseCurve
 
toYaml() - Method in class org.deeplearning4j.eval.curves.BaseHistogram
 
toYaml() - Method in interface org.deeplearning4j.eval.IEvaluation
 
toYaml() - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
 
toYaml() - Method in class org.deeplearning4j.nn.conf.memory.MemoryReport
 
toYaml() - Method in class org.deeplearning4j.nn.conf.MultiLayerConfiguration
 
toYaml() - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
Return this configuration as json
toYaml() - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
toYaml() - Method in class org.deeplearning4j.perf.listener.HardwareMetric
 
toYaml() - Method in interface org.deeplearning4j.spark.api.TrainingMaster
Get the TrainingMaster configuration as YAML
toYaml() - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
toYaml() - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
tpmv(char, char, char, char, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
tpmv computes a matrix-vector product using a triangular packed matrix.
tpmv(char, char, char, char, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel2
 
tpmv(char, char, char, char, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
tpmv computes a matrix-vector product using a triangular packed matrix.
tpsv(char, char, char, char, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
tpsv solves a system of linear equations whose coefficients are in a triangular packed matrix.
tpsv(char, char, char, char, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel2
 
tpsv(char, char, char, char, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
tpsv solves a system of linear equations whose coefficients are in a triangular packed matrix.
trace(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
trace(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
trace(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Matrix trace operation For rank 2 matrices, the output is a scalar vith the trace - i.e., sum of the main diagonal.
For higher rank inputs, output[a,b,c] = trace(in[a,b,c,:,:])
Trace - Class in org.nd4j.linalg.api.ops.impl.transforms
Matrix trace operation
Trace(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Trace
 
Trace() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Trace
 
traceNew(int) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
traceNew(int) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
trackEpochs() - Method in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
 
trackingCounter - Variable in class org.nd4j.parameterserver.distributed.logic.completion.Clipboard
 
trackingPoint - Variable in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
trackList(Nd4jCpu.DoubleNDArrayList) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleContext
 
trackList(Nd4jCpu.DoubleNDArrayList) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleVariableSpace
 
trackList(Nd4jCpu.FloatNDArrayList) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatContext
 
trackList(Nd4jCpu.FloatNDArrayList) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatVariableSpace
 
trackList(Nd4jCpu.HalfNDArrayList) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfContext
 
trackList(Nd4jCpu.HalfNDArrayList) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfVariableSpace
 
trackList(Nd4jCuda.DoubleNDArrayList) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleContext
 
trackList(Nd4jCuda.DoubleNDArrayList) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleVariableSpace
 
trackList(Nd4jCuda.FloatNDArrayList) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatContext
 
trackList(Nd4jCuda.FloatNDArrayList) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatVariableSpace
 
trackList(Nd4jCuda.HalfNDArrayList) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfContext
 
trackList(Nd4jCuda.HalfNDArrayList) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfVariableSpace
 
trackStatePointer(NativePack) - Method in class org.nd4j.rng.deallocator.NativeRandomDeallocator
This method is used internally from NativeRandom deallocators This method doesn't accept Random interface implementations intentionally.
train - Variable in class org.datavec.image.loader.CifarLoader
 
train - Variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
 
train - Variable in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
 
train() - Method in class org.deeplearning4j.rl4j.learning.async.AsyncLearning
 
train() - Method in interface org.deeplearning4j.rl4j.learning.ILearning
 
train() - Method in class org.deeplearning4j.rl4j.learning.sync.SyncLearning
 
train(JavaRDD<String>) - Method in class org.deeplearning4j.spark.models.embeddings.glove.Glove
Train on the corpus
train(JavaRDD<String>) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec
Training word2vec model on a given text corpus
Trainable - Interface in org.deeplearning4j.nn.api
Trainable: an interface common to Layers and GraphVertices that have trainable parameters
trainAllAtOnce(List<Sequence<ShallowSequenceElement>>) - Method in class org.deeplearning4j.spark.models.sequencevectors.functions.PartitionTrainingFunction
 
trainData(Map<String, Object>) - Method in class org.deeplearning4j.arbiter.data.DataSetIteratorFactoryProvider
Get training data given some parameters for the data.
trainData(Map<String, Object>) - Method in class org.deeplearning4j.arbiter.data.MnistDataProvider
 
trainData(Map<String, Object>) - Method in interface org.deeplearning4j.arbiter.optimize.api.data.DataProvider
Deprecated.
Get training data given some parameters for the data.
trainData(Map<String, Object>) - Method in class org.deeplearning4j.arbiter.optimize.api.data.DataSetIteratorFactoryProvider
Get training data given some parameters for the data.
trainData() - Method in interface org.deeplearning4j.arbiter.optimize.api.data.DataSource
Get test data to be used for the optimization.
trainElementsRepresentation(boolean) - Method in class org.deeplearning4j.models.glove.Glove.Builder
 
trainElementsRepresentation(boolean) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
trainElementsRepresentation(boolean) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method defines, if words representation should be build together with documents representations.
trainElementsRepresentation(boolean) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
trainElementsRepresentation(boolean) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method is hardcoded to TRUE, since that's whole point of Word2Vec
trainElementsVectors - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
trainElementsVectors - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
trainEpoch() - Method in class org.deeplearning4j.rl4j.learning.sync.qlearning.QLearning
 
trainEpoch() - Method in class org.deeplearning4j.rl4j.learning.sync.SyncLearning
 
Trainer - Interface in org.deeplearning4j.parallelism.trainer
A Trainer is an individual worker used in ParallelWrapper for handling training in multi core situations.
trainer - Variable in class org.nd4j.parameterserver.distributed.messages.BaseVoidMessage
 
trainer - Variable in class org.nd4j.parameterserver.distributed.messages.Frame
 
trainer - Variable in class org.nd4j.parameterserver.distributed.VoidParameterServer
 
TrainerContext - Interface in org.deeplearning4j.parallelism.factory
Creates Trainer instances for use with ParallelWrapper
trainerContext - Variable in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
 
trainerContext - Variable in class org.deeplearning4j.parallelism.ParallelWrapper
 
trainerContextArgs - Variable in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
 
trainerContextArgs(Object...) - Method in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
Transer context args are for calling a TrainerContext init method when ParallelWrapper starts training
trainerContextArgs - Variable in class org.deeplearning4j.parallelism.ParallelWrapper
 
trainerFactory(TrainerContext) - Method in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
Specify a TrainerContext for the given ParallelWrapper instance.
TrainerProvider - Class in org.nd4j.parameterserver.distributed.training
 
trainers - Variable in class org.nd4j.parameterserver.distributed.training.TrainerProvider
 
trainFilesSerialized - Variable in class org.datavec.image.loader.CifarLoader
 
TRAINING_FILE_LABELS_FILENAME_UNZIPPED - Static variable in class org.deeplearning4j.base.MnistFetcher
 
TRAINING_FILES_FILENAME_UNZIPPED - Static variable in class org.deeplearning4j.base.MnistFetcher
 
trainingArchive - Variable in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
 
TrainingConfig - Interface in org.deeplearning4j.nn.api
Simple interface for the training configuration (updater, L1/L2 values, etc) for trainable layers/vertices.
trainingDriver - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
TrainingDriver<T extends TrainingMessage> - Interface in org.nd4j.parameterserver.distributed.training
 
trainingFileLabelsFilename_unzipped - Static variable in class org.datavec.image.mnist.MnistFetcher
 
trainingFilesFilename_unzipped - Static variable in class org.datavec.image.mnist.MnistFetcher
 
TrainingFunction<T extends SequenceElement> - Class in org.deeplearning4j.spark.models.sequencevectors.functions
This is wrapper for SequenceVectors training over given Sequence
TrainingFunction(Broadcast<VocabCache<ShallowSequenceElement>>, Broadcast<VectorsConfiguration>, Broadcast<VoidConfiguration>) - Constructor for class org.deeplearning4j.spark.models.sequencevectors.functions.TrainingFunction
 
TrainingHook - Interface in org.deeplearning4j.spark.api
A hook for the workers when training.
trainingHookList - Variable in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
trainingHooks - Variable in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
 
trainingHooks(Collection<TrainingHook>) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
Adds training hooks to the master.
trainingHooks(TrainingHook...) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
Adds training hooks to the master.
trainingHooks - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
trainingJson - Variable in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
 
trainingJson(String) - Method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
Provide training configuration as JSON string
trainingJsonInputStream(InputStream) - Method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
Provide training configuration as file input stream from JSON
TrainingListener - Interface in org.deeplearning4j.optimize.api
A listener interface for training DL4J models.
The methods here will be called at various points during training, and only during training.
Note that users can extend BaseTrainingListener and selectively override the required methods, instead of implementing TrainingListener directly and having a number of no-op methods.
trainingListener - Variable in class org.deeplearning4j.plot.BarnesHutTsne
 
trainingListeners - Variable in class org.deeplearning4j.nn.layers.AbstractLayer
 
trainingListeners - Variable in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
trainingListeners - Variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
trainingListeners - Variable in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
TrainingMaster<R extends TrainingResult,W extends TrainingWorker<R>> - Interface in org.deeplearning4j.spark.api
A TrainingMaster controls how distributed training is executed in practice
In principle, a large number of different approches can be used in distributed training (synchronous vs.
trainingMaster - Variable in class org.deeplearning4j.spark.impl.SparkListenable
 
trainingMasterSpecificStats(SparkTrainingStats) - Method in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats.Builder
 
trainingMasterUID - Variable in class org.deeplearning4j.spark.impl.paramavg.BaseTrainingMaster
 
TrainingMessage - Interface in org.nd4j.parameterserver.distributed.messages
 
trainingMode - Variable in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
 
trainingMode(ParallelWrapper.TrainingMode) - Method in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
This method allows you to specify training mode for this instance of PW.
TrainingResult - Interface in org.deeplearning4j.spark.api
TrainingResult: a class used by TrainingMaster implementations Each TrainingMaster will have its own type of training result.
TrainingWorker<R extends TrainingResult> - Interface in org.deeplearning4j.spark.api
TrainingWorker is a small serializable class that can be passed (in serialized form) to each Spark executor for actually conducting training.
trainingWorkspaceMode - Variable in class org.deeplearning4j.arbiter.ComputationGraphSpace.Builder
 
trainingWorkspaceMode(WorkspaceMode) - Method in class org.deeplearning4j.arbiter.ComputationGraphSpace.Builder
 
trainingWorkspaceMode - Variable in class org.deeplearning4j.arbiter.ComputationGraphSpace
 
trainingWorkspaceMode - Variable in class org.deeplearning4j.arbiter.MultiLayerSpace.Builder
 
trainingWorkspaceMode(WorkspaceMode) - Method in class org.deeplearning4j.arbiter.MultiLayerSpace.Builder
 
trainingWorkspaceMode - Variable in class org.deeplearning4j.arbiter.MultiLayerSpace
 
trainingWorkspaceMode - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
 
trainingWorkspaceMode - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
 
trainingWorkspaceMode(WorkspaceMode) - Method in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
trainingWorkspaceMode - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration
 
trainingWorkspaceMode - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
trainingWorkspaceMode(WorkspaceMode) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
This method defines Workspace mode being used during training:
NONE: workspace won't be used
ENABLED: workspaces will be used for training (reduced memory and better performance)
trainingWorkspaceMode(WorkspaceMode) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
This method defines Workspace mode being used during training: NONE: workspace won't be used ENABLED: workspaces will be used for training (reduced memory and better performance)
trainingWorkspaceMode - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
trainingYaml - Variable in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
 
trainingYaml(String) - Method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
Provide training configuration as YAML string
trainingYamlInputStream(InputStream) - Method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
Provide training configuration as file input stream from YAML
trainInputStream - Variable in class org.datavec.image.loader.CifarLoader
 
TrainModule - Class in org.deeplearning4j.ui.module.train
Main DL4J Training UI
TrainModule() - Constructor for class org.deeplearning4j.ui.module.train.TrainModule
 
TrainModuleUtils - Class in org.deeplearning4j.ui.module.train
Utility methods for TrainModule
TrainModuleUtils() - Constructor for class org.deeplearning4j.ui.module.train.TrainModuleUtils
 
TrainModuleUtils.GraphInfo - Class in org.deeplearning4j.ui.module.train
 
trainSentence(List<VocabWord>, double) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.FirstIterationFunctionAdapter
 
trainSentence(Word2VecParam, List<VocabWord>, double, List<Triple<Integer, Integer, Integer>>) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.SentenceBatch
Deprecated.
Train on a list of vocab words
trainSentence(List<VocabWord>, double) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformer
Deprecated.
Train on a list of vocab words
trainSentence(List<VocabWord>, double) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
Train on a list of vocab words
trainSequence(Sequence<T>, AtomicLong, double) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors
 
trainSequencesRepresentation(boolean) - Method in class org.deeplearning4j.models.glove.Glove.Builder
Deprecated.
trainSequencesRepresentation(boolean) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
trainSequencesRepresentation(boolean) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method is hardcoded to TRUE, since that's whole point of ParagraphVectors
trainSequencesRepresentation(boolean) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
trainSequencesRepresentation(boolean) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method is hardcoded to FALSE, since that's whole point of Word2Vec
trainSequenceVectors - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
trainSequenceVectors - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
trainStep(O) - Method in class org.deeplearning4j.rl4j.learning.sync.qlearning.discrete.QLearningDiscrete
Single step of training
trainStep(O) - Method in class org.deeplearning4j.rl4j.learning.sync.qlearning.QLearning
 
trainSubEpoch(O, int) - Method in class org.deeplearning4j.rl4j.learning.async.AsyncThread
 
trainSubEpoch(O, int) - Method in class org.deeplearning4j.rl4j.learning.async.AsyncThreadDiscrete
"Subepoch" correspond to the t_max-step iterations that stack rewards with t_max MiniTrans
trainWordVectors(boolean) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method defines, if words representations should be build together with documents representations.
transferBackToVocabCache() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
 
transferBackToVocabCache(VocabCache) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
 
transferBackToVocabCache(VocabCache, boolean) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
This method is required for compatibility purposes.
TransferLearning - Class in org.deeplearning4j.nn.transferlearning
The transfer learning API can be used to modify the architecture or the learning parameters of an existing multilayernetwork or computation graph.
TransferLearning() - Constructor for class org.deeplearning4j.nn.transferlearning.TransferLearning
 
TransferLearning.Builder - Class in org.deeplearning4j.nn.transferlearning
 
TransferLearning.GraphBuilder - Class in org.deeplearning4j.nn.transferlearning
 
TransferLearningHelper - Class in org.deeplearning4j.nn.transferlearning
This class is intended for use with the transfer learning API.
TransferLearningHelper(ComputationGraph, String...) - Constructor for class org.deeplearning4j.nn.transferlearning.TransferLearningHelper
Will modify the given comp graph (in place!) to freeze vertices from input to the vertex specified.
TransferLearningHelper(ComputationGraph) - Constructor for class org.deeplearning4j.nn.transferlearning.TransferLearningHelper
Expects a computation graph where some vertices are frozen
TransferLearningHelper(MultiLayerNetwork, int) - Constructor for class org.deeplearning4j.nn.transferlearning.TransferLearningHelper
Will modify the given MLN (in place!) to freeze layers (hold params constant during training) specified and below
TransferLearningHelper(MultiLayerNetwork) - Constructor for class org.deeplearning4j.nn.transferlearning.TransferLearningHelper
Expects a MLN where some layers are frozen
transferVocabulary(VocabCache<T>, boolean) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor
 
transform(Schema) - Method in interface org.datavec.api.transform.ColumnOp
Get the output schema for this transformation, given an input schema
transform(Schema) - Method in class org.datavec.api.transform.condition.BooleanCondition
Get the output schema for this transformation, given an input schema
transform(Schema) - Method in class org.datavec.api.transform.condition.column.BaseColumnCondition
Get the output schema for this transformation, given an input schema
transform(Schema) - Method in interface org.datavec.api.transform.condition.column.ColumnCondition
Get the output schema for this transformation, given an input schema
transform(Schema) - Method in class org.datavec.api.transform.condition.sequence.SequenceLengthCondition
 
transform(Schema) - Method in class org.datavec.api.transform.filter.ConditionFilter
Get the output schema for this transformation, given an input schema
transform(Schema) - Method in class org.datavec.api.transform.filter.FilterInvalidValues
Get the output schema for this transformation, given an input schema
transform(Schema) - Method in class org.datavec.api.transform.filter.InvalidNumColumns
Get the output schema for this transformation, given an input schema
transform(Schema) - Method in class org.datavec.api.transform.ndarray.NDArrayDistanceTransform
 
transform(Schema) - Method in class org.datavec.api.transform.rank.CalculateSortedRank
 
transform(Schema) - Method in class org.datavec.api.transform.reduce.geo.CoordinatesReduction
 
transform(Schema) - Method in interface org.datavec.api.transform.reduce.IAssociativeReducer
 
transform(Schema) - Method in class org.datavec.api.transform.reduce.impl.GeographicMidpointReduction
 
transform(Schema) - Method in class org.datavec.api.transform.reduce.Reducer
Get the output schema, given the input schema
transform(Schema) - Method in class org.datavec.api.transform.sequence.comparator.BaseColumnComparator
Get the output schema for this transformation, given an input schema
transform(SequenceSchema) - Method in class org.datavec.api.transform.sequence.ConvertFromSequence
 
transform(Schema) - Method in class org.datavec.api.transform.sequence.ConvertToSequence
 
transform(Schema) - Method in class org.datavec.api.transform.sequence.expansion.BaseSequenceExpansionTransform
 
transform(Schema) - Method in class org.datavec.api.transform.sequence.ReduceSequenceTransform
 
transform(Schema) - Method in class org.datavec.api.transform.sequence.trim.SequenceTrimTransform
 
transform(Schema) - Method in class org.datavec.api.transform.sequence.window.OverlappingTimeWindowFunction
 
transform(Schema) - Method in class org.datavec.api.transform.sequence.window.ReduceSequenceByWindowTransform
 
transform(Schema) - Method in class org.datavec.api.transform.sequence.window.TimeWindowFunction
 
transform(Schema) - Method in interface org.datavec.api.transform.sequence.window.WindowFunction
Get the output schema, given the input schema.
transform(Schema) - Method in interface org.datavec.api.transform.stringreduce.IStringReducer
 
transform(Schema) - Method in class org.datavec.api.transform.stringreduce.StringReducer