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

L

l(int) - Method in class org.nd4j.graph.FlatProperties
 
l1(double) - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace.Builder
 
l1(ParameterSpace<Double>) - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace.Builder
 
l1 - Variable in class org.deeplearning4j.arbiter.BaseNetworkSpace
 
l1 - Variable in class org.deeplearning4j.arbiter.layers.BaseLayerSpace.Builder
 
l1(double) - Method in class org.deeplearning4j.arbiter.layers.BaseLayerSpace.Builder
 
l1(ParameterSpace<Double>) - Method in class org.deeplearning4j.arbiter.layers.BaseLayerSpace.Builder
 
l1 - Variable in class org.deeplearning4j.arbiter.layers.BaseLayerSpace
 
l1 - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
 
l1(double) - Method in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
L1 regularization coefficient (weights only).
l1 - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer
 
l1 - Variable in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer.Builder
 
l1(double) - Method in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer.Builder
L1 regularization coefficient (weights only).
l1 - Variable in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer
 
l1 - Variable in class org.deeplearning4j.nn.conf.layers.samediff.SameDiffVertex
 
l1 - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
l1(double) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
L1 regularization coefficient for the weights.
Note: values set by this method will be applied to all applicable layers in the network, unless a different value is explicitly set on a given layer.
l1(double) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
L1 regularization coefficient for the weights
l1 - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
l1(String, SDVariable, SDVariable, SDVariable, LossFunctions.Reduction, int...) - Static method in class org.nd4j.autodiff.loss.LossFunctions
L1 loss - sum of absolute errors.
l1Bias(double) - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace.Builder
 
l1Bias(ParameterSpace<Double>) - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace.Builder
 
l1Bias - Variable in class org.deeplearning4j.arbiter.BaseNetworkSpace
 
l1Bias - Variable in class org.deeplearning4j.arbiter.layers.BaseLayerSpace.Builder
 
l1Bias(double) - Method in class org.deeplearning4j.arbiter.layers.BaseLayerSpace.Builder
 
l1Bias(ParameterSpace<Double>) - Method in class org.deeplearning4j.arbiter.layers.BaseLayerSpace.Builder
 
l1Bias - Variable in class org.deeplearning4j.arbiter.layers.BaseLayerSpace
 
l1Bias - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
 
l1Bias(double) - Method in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
L1 regularization coefficient for the bias.
l1Bias - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer
 
l1Bias - Variable in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer.Builder
 
l1Bias(double) - Method in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer.Builder
L1 regularization coefficient for the bias.
l1Bias - Variable in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer
 
l1Bias - Variable in class org.deeplearning4j.nn.conf.layers.samediff.SameDiffVertex
 
l1Bias - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
l1Bias(double) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
L1 regularization coefficient for the bias.
Note: values set by this method will be applied to all applicable layers in the network, unless a different value is explicitly set on a given layer.
l1Bias(double) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
L1 regularization coefficient for the bias parameters
l1Bias - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
l2(double) - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace.Builder
 
l2(ParameterSpace<Double>) - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace.Builder
 
l2 - Variable in class org.deeplearning4j.arbiter.BaseNetworkSpace
 
l2 - Variable in class org.deeplearning4j.arbiter.layers.BaseLayerSpace.Builder
 
l2(double) - Method in class org.deeplearning4j.arbiter.layers.BaseLayerSpace.Builder
 
l2(ParameterSpace<Double>) - Method in class org.deeplearning4j.arbiter.layers.BaseLayerSpace.Builder
 
l2 - Variable in class org.deeplearning4j.arbiter.layers.BaseLayerSpace
 
l2 - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
 
l2(double) - Method in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
L2 regularization coefficient (weights only).
l2 - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer
 
l2 - Variable in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer.Builder
 
l2(double) - Method in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer.Builder
L2 regularization coefficient (weights only).
l2 - Variable in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer
 
l2 - Variable in class org.deeplearning4j.nn.conf.layers.samediff.SameDiffVertex
 
l2 - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
l2(double) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
L2 regularization coefficient for the weights.
Note: values set by this method will be applied to all applicable layers in the network, unless a different value is explicitly set on a given layer.
l2(double) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
L2 regularization coefficient for the weights
l2 - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
l2(String, SDVariable, SDVariable, SDVariable, LossFunctions.Reduction, int...) - Static method in class org.nd4j.autodiff.loss.LossFunctions
L2 loss function: i.e., sum of squared errors, L = sum_i (actual_i - predicted)^2
l2Bias(double) - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace.Builder
 
l2Bias(ParameterSpace<Double>) - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace.Builder
 
l2Bias - Variable in class org.deeplearning4j.arbiter.BaseNetworkSpace
 
l2Bias - Variable in class org.deeplearning4j.arbiter.layers.BaseLayerSpace.Builder
 
l2Bias(double) - Method in class org.deeplearning4j.arbiter.layers.BaseLayerSpace.Builder
 
l2Bias(ParameterSpace<Double>) - Method in class org.deeplearning4j.arbiter.layers.BaseLayerSpace.Builder
 
l2Bias - Variable in class org.deeplearning4j.arbiter.layers.BaseLayerSpace
 
l2Bias - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
 
l2Bias(double) - Method in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
L2 regularization coefficient for the bias.
l2Bias - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer
 
l2Bias - Variable in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer.Builder
 
l2Bias(double) - Method in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer.Builder
L2 regularization coefficient for the bias.
l2Bias - Variable in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer
 
l2Bias - Variable in class org.deeplearning4j.nn.conf.layers.samediff.SameDiffVertex
 
l2Bias - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
l2Bias(double) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
L2 regularization coefficient for the bias.
Note: values set by this method will be applied to all applicable layers in the network, unless a different value is explicitly set on a given layer.
l2Bias(double) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
L2 regularization coefficient for the bias parameters
l2Bias - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
L2Loss - Class in org.nd4j.linalg.api.ops.impl.loss
L2 loss op wrapper
L2Loss(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.L2Loss
 
L2NormalizeVertex - Class in org.deeplearning4j.nn.conf.graph
L2NormalizeVertex performs L2 normalization on a single input.
L2NormalizeVertex() - Constructor for class org.deeplearning4j.nn.conf.graph.L2NormalizeVertex
 
L2NormalizeVertex(int[], double) - Constructor for class org.deeplearning4j.nn.conf.graph.L2NormalizeVertex
 
L2NormalizeVertex - Class in org.deeplearning4j.nn.graph.vertex.impl
L2NormalizeVertex performs L2 normalization on a single input.
L2NormalizeVertex(ComputationGraph, String, int, int[], double) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.L2NormalizeVertex
 
L2NormalizeVertex(ComputationGraph, String, int, VertexIndices[], VertexIndices[], int[], double) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.L2NormalizeVertex
 
L2Vertex - Class in org.deeplearning4j.nn.conf.graph
L2Vertex calculates the L2 least squares error of two inputs.
L2Vertex() - Constructor for class org.deeplearning4j.nn.conf.graph.L2Vertex
 
L2Vertex(double) - Constructor for class org.deeplearning4j.nn.conf.graph.L2Vertex
 
L2Vertex - Class in org.deeplearning4j.nn.graph.vertex.impl
L2Vertex calculates the L2 least squares error of two inputs.
L2Vertex(ComputationGraph, String, int, double) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.L2Vertex
 
L2Vertex(ComputationGraph, String, int, VertexIndices[], VertexIndices[], double) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.L2Vertex
 
label - Variable in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
 
label() - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
Label - Class in vizdoom
 
LABEL_DELIMITER - Static variable in class org.datavec.api.records.reader.impl.misc.SVMLightRecordReader
 
LABEL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.KernelDef
 
LABEL_FIRST_COLUMN - Static variable in class org.datavec.api.records.writer.impl.misc.SVMLightRecordWriter
 
LABEL_LAST_COLUMN - Static variable in class org.datavec.api.records.writer.impl.misc.SVMLightRecordWriter
 
LABEL_ONE - Static variable in class org.datavec.api.records.reader.impl.misc.SVMLightRecordReader
 
LABEL_PATTERN - Static variable in class org.datavec.image.loader.LFWLoader
 
LABEL_URL - Static variable in class org.datavec.image.loader.LFWLoader
 
LABEL_ZERO - Static variable in class org.datavec.api.records.reader.impl.misc.SVMLightRecordReader
 
LabelAwareConverter - Class in org.deeplearning4j.iterator.provider
Simple class for conversion between LabelAwareIterator -> LabeledSentenceProvider for neural nets.
LabelAwareConverter(LabelAwareIterator, List<String>) - Constructor for class org.deeplearning4j.iterator.provider.LabelAwareConverter
 
LabelAwareDocumentIterator - Interface in org.deeplearning4j.text.documentiterator
Created by agibsonccc on 10/18/14.
LabelAwareFileSentenceIterator - Class in org.deeplearning4j.text.sentenceiterator.labelaware
Label aware sentence iterator
LabelAwareFileSentenceIterator(SentencePreProcessor, File) - Constructor for class org.deeplearning4j.text.sentenceiterator.labelaware.LabelAwareFileSentenceIterator
Takes a single file or directory
LabelAwareFileSentenceIterator(File) - Constructor for class org.deeplearning4j.text.sentenceiterator.labelaware.LabelAwareFileSentenceIterator
 
labelAwareIterator - Variable in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
 
labelAwareIterator - Variable in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
 
labelAwareIterator - Variable in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
 
LabelAwareIterator - Interface in org.deeplearning4j.text.documentiterator
This simple iterator interface assumes, that all documents are packed into strings OR into references to VocabWords.
LabelAwareSentenceIterator - Interface in org.deeplearning4j.text.sentenceiterator.labelaware
SentenceIterator that is aware of its label.
LabelAwareUimaSentenceIterator - Class in org.deeplearning4j.text.sentenceiterator.labelaware
Uima sentence iterator that is aware of the current file
LabelAwareUimaSentenceIterator(SentencePreProcessor, String, UimaResource) - Constructor for class org.deeplearning4j.text.sentenceiterator.labelaware.LabelAwareUimaSentenceIterator
 
LabelAwareUimaSentenceIterator(String, AnalysisEngine) - Constructor for class org.deeplearning4j.text.sentenceiterator.labelaware.LabelAwareUimaSentenceIterator
 
labelCounts() - Method in interface org.nd4j.linalg.dataset.api.DataSet
Calculate and return a count of each label, by index.
labelCounts() - Method in class org.nd4j.linalg.dataset.DataSet
 
LabeledSentenceProvider - Interface in org.deeplearning4j.iterator
LabeledSentenceProvider: a simple iterator interface over sentences/documents that have a label.
This is intended for use with CnnSentenceDataSetIterator
labelFile - Variable in class org.datavec.image.loader.LFWLoader
 
labelFirstColumn - Variable in class org.datavec.api.records.writer.impl.misc.SVMLightRecordWriter
 
labelGenerator - Variable in class org.datavec.api.io.filters.BalancedPathFilter
 
labelGenerator - Variable in class org.datavec.image.recordreader.BaseImageRecordReader
 
labelIndex - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder
 
labelIndex - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
labelIndexTo - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder
 
labelIndexTo - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
labelLastColumn - Variable in class org.datavec.api.records.writer.impl.misc.SVMLightRecordWriter
 
LabelledDocument - Class in org.deeplearning4j.text.documentiterator
This is primitive holder of document, and it's label.
LabelledDocument() - Constructor for class org.deeplearning4j.text.documentiterator.LabelledDocument
 
labelMultiGenerator - Variable in class org.datavec.image.recordreader.BaseImageRecordReader
 
labelProbabilities(INDArray) - Method in interface org.deeplearning4j.nn.api.Classifier
Returns the probabilities for each label for each example row wise
labelProbabilities(INDArray) - Method in class org.deeplearning4j.nn.layers.BaseOutputLayer
Returns the probabilities for each label for each example row wise
labelProbabilities(INDArray) - Method in class org.deeplearning4j.nn.layers.convolution.CnnLossLayer
 
labelProbabilities(INDArray) - Method in class org.deeplearning4j.nn.layers.LossLayer
Returns the probabilities for each label for each example row wise
labelProbabilities(INDArray) - Method in class org.deeplearning4j.nn.layers.objdetect.Yolo2OutputLayer
 
labelProbabilities(INDArray) - Method in class org.deeplearning4j.nn.layers.ocnn.OCNNOutputLayer
 
labelProbabilities(INDArray) - Method in class org.deeplearning4j.nn.layers.recurrent.RnnLossLayer
 
labelProbabilities(INDArray) - Method in class org.deeplearning4j.nn.layers.samediff.SameDiffOutputLayer
 
labelProbabilities(INDArray) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Returns the probabilities for each label for each example row wise
labels - Variable in class org.datavec.api.io.filters.BalancedPathFilter
 
labels - Variable in class org.datavec.api.records.reader.impl.FileRecordReader
 
LABELS - Static variable in interface org.datavec.api.records.reader.RecordReader
 
labels - Variable in class org.datavec.image.loader.CifarLoader
 
labels - Variable in class org.datavec.image.recordreader.BaseImageRecordReader
 
labels(List<String>) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
Deprecated.
labels - Variable in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
 
labels - Variable in class org.deeplearning4j.nn.layers.BaseOutputLayer
 
labels - Variable in class org.deeplearning4j.nn.layers.convolution.CnnLossLayer
 
labels - Variable in class org.deeplearning4j.nn.layers.LossLayer
 
labels - Variable in class org.deeplearning4j.nn.layers.objdetect.Yolo2OutputLayer
 
labels - Variable in class org.deeplearning4j.nn.layers.recurrent.RnnLossLayer
 
labels - Variable in class org.deeplearning4j.nn.layers.samediff.SameDiffOutputLayer
 
labels - Variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
labels - Variable in class org.deeplearning4j.text.documentiterator.SimpleLabelAwareIterator
 
labels - Variable in class org.deeplearning4j.zoo.util.BaseLabels
 
Labels - Interface in org.deeplearning4j.zoo.util
Interface to helper classes that return label descriptions.
labels - Variable in class vizdoom.GameState
 
LABELS_KEY - Static variable in class org.deeplearning4j.nn.layers.samediff.SameDiffOutputLayer
 
labelsBuffer - Variable in class vizdoom.GameState
 
labelsList - Variable in class org.deeplearning4j.eval.Evaluation
 
labelsList - Variable in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
 
labelsMatrix - Variable in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
 
labelsProvider - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer.Builder
 
labelsProvider - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer
 
LabelsProvider<T extends SequenceElement> - Interface in org.deeplearning4j.text.labels
 
labelsRequired() - Method in class org.deeplearning4j.nn.conf.layers.samediff.SameDiffOutputLayer
Whether labels are required for calculating the score.
labelsSource - Variable in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
 
labelsSource - Variable in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
 
labelsSource - Variable in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
 
labelsSource - Variable in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
 
labelsSource(LabelsSource) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method attaches pre-defined labels source to ParagraphVectors
labelsSource - Variable in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
 
labelsSource - Variable in class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator
 
labelsSource - Variable in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator
 
LabelsSource - Class in org.deeplearning4j.text.documentiterator
This class is used to manage labels/documents syncronization over iterators
LabelsSource() - Constructor for class org.deeplearning4j.text.documentiterator.LabelsSource
 
LabelsSource(String) - Constructor for class org.deeplearning4j.text.documentiterator.LabelsSource
Build LabelsSource using string template.
LabelsSource(List<String>) - Constructor for class org.deeplearning4j.text.documentiterator.LabelsSource
Build LabelsSource using externally defined list of string labels.
labelWidth(int) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity.Builder
Specifies the width of the labels vector which also corresponds to the width of the 'mean' vector for each of the gaussian functions.
LabelWriterConverter - Class in org.datavec.api.io.converters
Convert a label in to an index based on the
LabelWriterConverter(List<String>) - Constructor for class org.datavec.api.io.converters.LabelWriterConverter
 
lambbaNoObj(double) - Method in class org.deeplearning4j.nn.conf.layers.objdetect.Yolo2OutputLayer.Builder
Loss function coefficient for the "no object confidence" components of the loss function.
lambda(double) - Method in class org.deeplearning4j.arbiter.layers.CenterLossOutputLayerSpace.Builder
 
lambda(ParameterSpace<Double>) - Method in class org.deeplearning4j.arbiter.layers.CenterLossOutputLayerSpace.Builder
 
lambda - Variable in class org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer.Builder
 
lambda(double) - Method in class org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer.Builder
 
lambda - Variable in class org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer
 
lambdaCoord(double) - Method in class org.deeplearning4j.nn.conf.layers.objdetect.Yolo2OutputLayer.Builder
Loss function coefficient for position and size/scale components of the loss function.
laneClocks - Variable in class org.nd4j.jita.flow.impl.AsynchronousFlowController
Deprecated.
 
LANES_PER_THREAD - Static variable in class org.nd4j.jita.allocator.context.impl.PackedContextPool
Deprecated.
 
lanesCounter - Variable in class org.nd4j.jita.flow.impl.AsynchronousFlowController
Deprecated.
 
Lapack - Interface in org.nd4j.linalg.api.blas
Lapack interface
lapack() - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
 
lapack - Variable in class org.nd4j.linalg.factory.BaseNDArrayFactory
 
lapack() - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
 
lapack() - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
 
lapack() - Method in interface org.nd4j.linalg.factory.BlasWrapper
LAPack interface
lapack() - Method in interface org.nd4j.linalg.factory.NDArrayFactory
 
larg() - Method in class org.nd4j.autodiff.functions.DifferentialFunction
The left argument for this function
LargestBlobCropTransform - Class in org.datavec.image.transform
crop images based on it's largest blob.
LargestBlobCropTransform() - Constructor for class org.datavec.image.transform.LargestBlobCropTransform
Calls this(null
LargestBlobCropTransform(Random) - Constructor for class org.datavec.image.transform.LargestBlobCropTransform
Calls this(random, CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE, 3, 3, 100, 200, true)
LargestBlobCropTransform(Random, int, int, int, int, int, int, boolean) - Constructor for class org.datavec.image.transform.LargestBlobCropTransform
 
lAsByteBuffer() - Method in class org.nd4j.graph.FlatProperties
 
last - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
LAST_TRAINING_INSTANCE - Static variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
lastAct - Variable in class org.deeplearning4j.nn.layers.recurrent.FwdPassReturn
 
lastBatch - Variable in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
 
lastBatch() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator
The number of examples in the last fold if totalexamples % k == 0 same as the number of examples in every other fold
lastBP - Variable in class org.deeplearning4j.optimize.listeners.SleepyTrainingListener
 
lastChecked(int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam.Builder
Deprecated.
 
lastCheckpoint() - Method in class org.deeplearning4j.optimize.listeners.checkpoint.CheckpointListener
Return the most recent checkpoint, if one exists - otherwise returns null
lastChild() - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
lastCycleAllocations - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
 
lastDescriptor - Variable in class org.nd4j.linalg.profiler.data.primitives.StackTree
 
lastEE - Variable in class org.deeplearning4j.optimize.listeners.SleepyTrainingListener
 
lastES - Variable in class org.deeplearning4j.optimize.listeners.SleepyTrainingListener
 
lastEtlTime - Variable in class org.deeplearning4j.nn.graph.ComputationGraph
 
lastEtlTime - Variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
lastEtlTime - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 
lastExportedRDDId - Variable in class org.deeplearning4j.spark.impl.paramavg.BaseTrainingMaster
 
lastFF - Variable in class org.deeplearning4j.optimize.listeners.SleepyTrainingListener
 
lastGcTime - Variable in class org.nd4j.linalg.memory.BasicMemoryManager
 
lastIndex(SDVariable, Condition, boolean, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
lastIndex(SDVariable, Condition, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
lastIndex(SDVariable, Condition, boolean, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
lastIndex(String, SDVariable, Condition, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Last index reduction operation.
Returns a variable that contains the index of the last element that matches the specified condition (for each slice along the specified dimensions)
lastIndex(String, SDVariable, Condition, boolean, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Last index reduction operation.
Returns a variable that contains the index of the last element that matches the specified condition (for each slice along the specified dimensions)
Note that if keepDims = true, the output variable has the same rank as the input variable, with the reduced dimensions having size 1.
LastIndex - Class in org.nd4j.linalg.api.ops.impl.indexaccum
Calculate the index of max value over a vector
LastIndex(SameDiff, SDVariable, Condition, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.LastIndex
 
LastIndex() - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.LastIndex
 
LastIndex(INDArray, Condition) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.LastIndex
 
LastIndex(INDArray, Condition, double) - Constructor for class org.nd4j.linalg.api.ops.impl.indexaccum.LastIndex
 
lastIndex(INDArray, Condition) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing
This method returns last index matching given condition PLEASE NOTE: This method will return -1 value if condition wasn't met
lastIndex(INDArray, Condition, int...) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing
This method returns first index matching given condition along given dimensions PLEASE NOTE: This method will return -1 values for missing conditions
lastIndexOf(Object) - Method in class org.datavec.api.writable.batch.AbstractTimeSeriesWritableRecordBatch
 
lastIndexOf(Object) - Method in class org.datavec.api.writable.batch.AbstractWritableRecordBatch
 
lastIndexOf(Object) - Method in class org.datavec.arrow.recordreader.ArrowWritableRecordBatch
 
lastIndexOf(Object) - Method in class org.datavec.arrow.recordreader.ArrowWritableRecordTimeSeriesBatch
 
lastIndexOf(Object) - Method in class org.nd4j.linalg.collection.CompactHeapStringList
 
lastIndexOf(Object) - Method in class org.nd4j.list.BaseNDArrayList
 
lastIndexOf(Object) - Method in class org.nd4j.list.matrix.MatrixBaseNDArrayList
 
lastIndexOf(Object) - Method in class org.nd4j.list.NDArrayList
 
lastIteration - Variable in class org.deeplearning4j.optimize.listeners.SleepyTrainingListener
 
lastMemCell - Variable in class org.deeplearning4j.nn.layers.recurrent.FwdPassReturn
 
lastModified() - Method in class org.nd4j.linalg.io.AbstractFileResolvingResource
 
lastModified() - Method in class org.nd4j.linalg.io.AbstractResource
 
lastModified() - Method in interface org.nd4j.linalg.io.Resource
 
lastModified() - Method in class org.nd4j.linalg.io.VfsResource
 
lastOp - Variable in class org.nd4j.linalg.jcublas.ops.executioner.CudaExecutioner
 
lastRDDExportPath - Variable in class org.deeplearning4j.spark.impl.paramavg.BaseTrainingMaster
 
lastStep - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodingHandler
 
LastTimeStep - Class in org.deeplearning4j.nn.conf.layers.recurrent
LastTimeStep is a "wrapper" layer: it wraps any RNN layer, and extracts out the last time step during forward pass, and returns it as a row vector (per example).
LastTimeStep(Layer) - Constructor for class org.deeplearning4j.nn.conf.layers.recurrent.LastTimeStep
 
LastTimeStepLayer - Class in org.deeplearning4j.nn.layers.recurrent
LastTimeStep is a "wrapper" layer: it wraps any RNN layer, and extracts out the last time step during forward pass, and returns it as a row vector (per example).
LastTimeStepLayer(Layer) - Constructor for class org.deeplearning4j.nn.layers.recurrent.LastTimeStepLayer
 
LastTimeStepVertex - Class in org.deeplearning4j.nn.conf.graph.rnn
LastTimeStepVertex is used in the context of recurrent neural network activations, to go from 3d (time series) activations to 2d activations, by extracting out the last time step of activations for each example.
This can be used for example in sequence to sequence architectures, and potentially for sequence classification.
LastTimeStepVertex(String) - Constructor for class org.deeplearning4j.nn.conf.graph.rnn.LastTimeStepVertex
 
LastTimeStepVertex - Class in org.deeplearning4j.nn.graph.vertex.impl.rnn
LastTimeStepVertex is used in the context of recurrent neural network activations, to go from 3d (time series) activations to 2d activations, by extracting out the last time step of activations for each example.
This can be used for example in sequence to sequence architectures, and potentially for sequence classification.
LastTimeStepVertex(ComputationGraph, String, int, String) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.rnn.LastTimeStepVertex
 
LastTimeStepVertex(ComputationGraph, String, int, VertexIndices[], VertexIndices[], String) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.rnn.LastTimeStepVertex
 
lastUpdateTime(long) - Method in class org.deeplearning4j.arbiter.ui.data.ModelInfoPersistable.Builder
 
latestEvent - Variable in class org.nd4j.jita.allocator.time.impl.SimpleTimer
 
launch() - Method in class org.nd4j.aeron.ipc.AeronNDArraySubscriber
Launch a background thread that subscribes to the aeron context
launch() - Method in class org.nd4j.aeron.ipc.response.AeronNDArrayResponder
Launch a background thread that subscribes to the aeron context
launch(Transport.ThreadingModel) - Method in class org.nd4j.parameterserver.distributed.transport.BaseTransport
This method starts transport mechanisms.
launch(Transport.ThreadingModel) - Method in class org.nd4j.parameterserver.distributed.transport.LocalTransport
Deprecated.
This method starts transport mechanisms.
launch(Transport.ThreadingModel) - Method in class org.nd4j.parameterserver.distributed.transport.RoutedTransport
 
launch(Transport.ThreadingModel) - Method in interface org.nd4j.parameterserver.distributed.transport.Transport
This method starts transport mechanisms.
launched() - Method in class org.nd4j.aeron.ipc.AeronNDArraySubscriber
Returns true if the subscriber is launched or not
launchThreads() - Method in class org.deeplearning4j.rl4j.learning.async.AsyncLearning
 
layer(String, LayerSpace<? extends Layer>, String...) - Method in class org.deeplearning4j.arbiter.ComputationGraphSpace.Builder
 
layer(String, LayerSpace<? extends Layer>, InputPreProcessor, String...) - Method in class org.deeplearning4j.arbiter.ComputationGraphSpace.Builder
 
layer(String, Layer, String...) - Method in class org.deeplearning4j.arbiter.ComputationGraphSpace.Builder
 
layer - Variable in class org.deeplearning4j.arbiter.layers.fixed.FixedLayerSpace
 
layer(Layer) - Method in class org.deeplearning4j.arbiter.MultiLayerSpace.Builder
 
layer(LayerSpace<?>) - Method in class org.deeplearning4j.arbiter.MultiLayerSpace.Builder
 
layer(LayerSpace<? extends Layer>, ParameterSpace<Integer>) - Method in class org.deeplearning4j.arbiter.MultiLayerSpace.Builder
 
Layer - Interface in org.deeplearning4j.nn.api
Interface for a layer of a neural network.
layer(int, Layer, String...) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
Add a layer, with no InputPreProcessor, with the specified name and specified inputs.
layer(String, Layer, String...) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
Add a layer, with no InputPreProcessor, with the specified name and specified inputs.
layer(String, Layer, InputPreProcessor, String...) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
Add a layer and an InputPreProcessor, with the specified name and specified inputs.
Layer - Class in org.deeplearning4j.nn.conf.layers
A neural network layer.
Layer(Layer.Builder) - Constructor for class org.deeplearning4j.nn.conf.layers.Layer
 
layer(Layer) - Method in class org.deeplearning4j.nn.conf.layers.misc.FrozenLayer.Builder
 
layer - Variable in class org.deeplearning4j.nn.conf.layers.misc.FrozenLayer
 
layer - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
layer(Layer) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Layer class.
layer - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
 
layer(int, Layer) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.ListBuilder
 
layer(Layer) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.ListBuilder
 
layer - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
 
Layer.Builder<T extends Layer.Builder<T>> - Class in org.deeplearning4j.nn.conf.layers
 
Layer.TrainingMode - Enum in org.deeplearning4j.nn.api
 
Layer.Type - Enum in org.deeplearning4j.nn.api
 
LayerConf() - Constructor for class org.deeplearning4j.arbiter.BaseNetworkSpace.LayerConf
 
layerConf() - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
layerConf() - Method in class org.deeplearning4j.nn.layers.BaseLayer
 
layerConf() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
LayerConstraint - Interface in org.deeplearning4j.nn.api.layers
 
LayerHelper - Interface in org.deeplearning4j.nn.layers
 
layerId() - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
layerId() - Method in class org.deeplearning4j.nn.layers.FrozenLayer
 
layerId() - Method in class org.deeplearning4j.nn.layers.FrozenLayerWithBackprop
 
layerId() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
layerIndex - Variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
layerInputSize(int) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Return the input size (number of inputs) for the specified layer.
Note that the meaning of the "input size" can depend on the type of layer.
layerInputSize(String) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Return the input size (number of inputs) for the specified layer.
Note that the meaning of the "input size" can depend on the type of layer.
layerInputSize(int) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Return the input size (number of inputs) for the specified layer.
Note that the meaning of the "input size" can depend on the type of layer.
layerList - Variable in class org.deeplearning4j.arbiter.ComputationGraphSpace.Builder
 
layerMap - Variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
LayerMemoryReport - Class in org.deeplearning4j.nn.conf.memory
A MemoryReport Designed to report estimated memory use for a single layer or graph vertex.
LayerMemoryReport(LayerMemoryReport.Builder) - Constructor for class org.deeplearning4j.nn.conf.memory.LayerMemoryReport
 
LayerMemoryReport.Builder - Class in org.deeplearning4j.nn.conf.memory
 
layerName - Variable in class org.deeplearning4j.arbiter.BaseNetworkSpace.LayerConf
 
layerName - Variable in class org.deeplearning4j.nn.conf.layers.Layer.Builder
 
layerName - Variable in class org.deeplearning4j.nn.conf.layers.Layer
 
layerName - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
 
layerName() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.LayerNamesDecoder
 
layerName(String) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.LayerNamesEncoder
 
layerNameCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.LayerNamesDecoder
 
layerNameCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.LayerNamesEncoder
 
layerNameHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.LayerNamesDecoder
 
layerNameHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.LayerNamesEncoder
 
layerNameId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.LayerNamesDecoder
 
layerNameId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.LayerNamesEncoder
 
layerNameLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.LayerNamesDecoder
 
layerNameMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.LayerNamesDecoder
 
layerNameMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.LayerNamesEncoder
 
layerNames() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
layerNamesCount(int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
LayerNamesDecoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.LayerNamesDecoder
 
layerNamesDecoderId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
LayerNamesEncoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.LayerNamesEncoder
 
layerNamesId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
layers - Variable in class org.deeplearning4j.nn.graph.ComputationGraph
A list of layers.
layers - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasModel
 
layers - Variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
layersByName - Variable in class org.deeplearning4j.nn.updater.BaseMultiLayerUpdater
 
layerSize() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
layerSize() - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable
The layer size for the lookup table
layerSize - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
layerSize(int) - Method in class org.deeplearning4j.models.glove.Glove.Builder
 
layerSize(int) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
layerSize(int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method defines number of dimensions for output vectors
layerSize - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
layerSize(int) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
This method defines number of dimensions for outcome vectors.
layerSize(int) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method defines number of dimensions for output vectors
layerSize(int) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Return the layer size (number of units) for the specified layer.
layerSize(String) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Return the layer size (number of units) for the specified layer.
Note that the meaning of the "layer size" can depend on the type of layer.
layerSize(int) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Return the layer size (number of units) for the specified layer.
Note that the meaning of the "layer size" can depend on the type of layer.
layerSize - Variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
 
layerSize(int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
Specifies output vector's dimensions
layerSize(int) - Method in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder
 
layerSize(int) - Method in class org.deeplearning4j.spark.models.word2vec.SparkWord2Vec.Builder
 
layersOrdered - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasModel
 
layerSpace - Variable in class org.deeplearning4j.arbiter.BaseNetworkSpace.LayerConf
 
layerSpace - Variable in class org.deeplearning4j.arbiter.layers.Bidirectional
 
LayerSpace<L extends Layer> - Class in org.deeplearning4j.arbiter.layers
LayerSpace contains common Layer hyperparameters; should match Layer in terms of features
LayerSpace(LayerSpace.Builder) - Constructor for class org.deeplearning4j.arbiter.layers.LayerSpace
 
LayerSpace.Builder<T> - Class in org.deeplearning4j.arbiter.layers
 
layerSpaces - Variable in class org.deeplearning4j.arbiter.BaseNetworkSpace
 
layerSpaces - Variable in class org.deeplearning4j.arbiter.ComputationGraphSpace
 
layerSpaces - Variable in class org.deeplearning4j.arbiter.MultiLayerSpace.Builder
 
LayerUpdater - Class in org.deeplearning4j.nn.updater
Updater for a single layer, excluding MultiLayerNetwork (which also implements the Layer interface)
LayerUpdater(Layer) - Constructor for class org.deeplearning4j.nn.updater.LayerUpdater
 
LayerUpdater(Layer, INDArray) - Constructor for class org.deeplearning4j.nn.updater.LayerUpdater
 
LayerValidation - Class in org.deeplearning4j.nn.conf.layers
Created by Alex on 22/02/2017.
LayerValidation() - Constructor for class org.deeplearning4j.nn.conf.layers.LayerValidation
 
LayerVertex - Class in org.deeplearning4j.nn.conf.graph
LayerVertex is a GraphVertex with a neural network Layer (and, optionally an InputPreProcessor) in it
LayerVertex(NeuralNetConfiguration, InputPreProcessor) - Constructor for class org.deeplearning4j.nn.conf.graph.LayerVertex
 
LayerVertex - Class in org.deeplearning4j.nn.graph.vertex.impl
LayerVertex is a GraphVertex with a neural network Layer (and, optionally an InputPreProcessor) in it
LayerVertex(ComputationGraph, String, int, Layer, InputPreProcessor, boolean) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.LayerVertex
Create a network input vertex:
LayerVertex(ComputationGraph, String, int, VertexIndices[], VertexIndices[], Layer, InputPreProcessor, boolean) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.LayerVertex
 
layerWiseConfigurations - Variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
LayerWorkspaceMgr - Class in org.deeplearning4j.nn.workspace
WorkspaceMgr for DL4J layers.
LayerWorkspaceMgr(Set<ArrayType>, Map<ArrayType, WorkspaceConfiguration>, Map<ArrayType, String>) - Constructor for class org.deeplearning4j.nn.workspace.LayerWorkspaceMgr
 
LayerWorkspaceMgr.Builder - Class in org.deeplearning4j.nn.workspace
 
LBFGS - Class in org.deeplearning4j.optimize.solvers
LBFGS
LBFGS(NeuralNetConfiguration, StepFunction, Collection<TrainingListener>, Model) - Constructor for class org.deeplearning4j.optimize.solvers.LBFGS
 
LE - Static variable in class org.nd4j.graph.ByteOrder
 
LeafUtils - Class in org.deeplearning4j.arbiter.util
Created by Alex on 29/06/2017.
leakyRelu(SDVariable, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
leakyRelu(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.SameDiff
Element-wise leaky ReLU function:
out = x if x >= 0.0
out = alpha * x if x < cutoff
Alpha value is most commonly set to 0.01
leakyRelu(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.SameDiff
Element-wise leaky ReLU function:
out = x if x >= 0.0
out = alpha * x if x < cutoff
Alpha value is most commonly set to 0.01
LeakyReLU - Class in org.nd4j.linalg.api.ops.impl.transforms
Leaky Rectified linear unit.
LeakyReLU(SameDiff, SDVariable, boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LeakyReLU
 
LeakyReLU(SameDiff, SDVariable, int[], boolean, Object[], double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LeakyReLU
 
LeakyReLU(SameDiff, SDVariable, Object[], double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LeakyReLU
 
LeakyReLU() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LeakyReLU
 
LeakyReLU(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LeakyReLU
 
LeakyReLU(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LeakyReLU
 
LeakyReLU(INDArray, INDArray, long, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LeakyReLU
 
LeakyReLU(INDArray, INDArray, INDArray, long, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LeakyReLU
 
LeakyReLU(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LeakyReLU
 
LeakyReLU(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LeakyReLU
 
LeakyReLU(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LeakyReLU
 
LeakyReLU(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LeakyReLU
 
leakyRelu(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
 
leakyRelu(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
 
leakyRelu(INDArray, double) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
 
leakyRelu(INDArray, double, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
 
leakyReluDerivative(SDVariable, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
leakyReluDerivative(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.SameDiff
Leaky ReLU derivative: dOut/dIn given input.
See SameDiff.leakyRelu(String, SDVariable, double)
LeakyReLUDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient
Leaky ReLU derivative.
LeakyReLUDerivative(SameDiff, SDVariable, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.LeakyReLUDerivative
 
LeakyReLUDerivative(SameDiff, SDVariable, SDVariable, boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.LeakyReLUDerivative
 
LeakyReLUDerivative(SameDiff, SDVariable, boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.LeakyReLUDerivative
 
LeakyReLUDerivative(SameDiff, SDVariable, int[], boolean, Object[], double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.LeakyReLUDerivative
 
LeakyReLUDerivative(SameDiff, SDVariable, Object[], double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.LeakyReLUDerivative
 
LeakyReLUDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.LeakyReLUDerivative
 
LeakyReLUDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.LeakyReLUDerivative
 
LeakyReLUDerivative(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.LeakyReLUDerivative
 
LeakyReLUDerivative(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.LeakyReLUDerivative
 
LeakyReLUDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.LeakyReLUDerivative
 
LeakyReLUDerivative(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.LeakyReLUDerivative
 
LeakyReLUDerivative(INDArray, INDArray, long, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.LeakyReLUDerivative
 
LeakyReLUDerivative(INDArray, INDArray, INDArray, long, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.LeakyReLUDerivative
 
LeakyReLUDerivative(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.LeakyReLUDerivative
 
leakyReluDerivative(INDArray, double) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
 
leakyReluDerivative(INDArray, double, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
 
learn(Graph, SplitWord, Forest...) - Method in class org.ansj.dic.LearnTool
公司名称学习.
Learning<O extends Encodable,A,AS extends ActionSpace<A>,NN extends NeuralNet> - Class in org.deeplearning4j.rl4j.learning
 
Learning(ILearning.LConfiguration) - Constructor for class org.deeplearning4j.rl4j.learning.Learning
 
Learning.InitMdp<O> - Class in org.deeplearning4j.rl4j.learning
 
LearningPolicy - Enum in org.nd4j.linalg.api.memory.enums
 
learningRate - Variable in class org.deeplearning4j.arbiter.conf.updater.NesterovsSpace
 
learningRate - Variable in class org.deeplearning4j.arbiter.conf.updater.RmsPropSpace
 
learningRate - Variable in class org.deeplearning4j.arbiter.conf.updater.SgdSpace
 
learningRate(double) - Method in class org.deeplearning4j.graph.models.deepwalk.DeepWalk.Builder
Set the learning rate
learningRate - Variable in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
 
learningRate - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe.Builder
 
learningRate(double) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe.Builder
Initial learning rate; default 0.05
learningRate - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe
 
learningRate - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
learningRate(double) - Method in class org.deeplearning4j.models.glove.Glove.Builder
 
learningRate(double) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
learningRate(double) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method defines initial learning rate for model training
learningRate - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
learningRate(double) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
This method defines initial learning rate.
learningRate(double) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method defines initial learning rate for model training
learningRate(double) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
 
learningRate - Variable in class org.deeplearning4j.plot.BarnesHutTsne
 
learningRate - Variable in class org.deeplearning4j.plot.Tsne.Builder
 
learningRate(double) - Method in class org.deeplearning4j.plot.Tsne.Builder
 
learningRate - Variable in class org.deeplearning4j.plot.Tsne
 
learningRate - Variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
 
learningRate(double) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
This method specifies initial learning rate for model
learningRate() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder
 
learningRate(float) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder
 
learningRate - Variable in class org.nd4j.linalg.learning.AdaGradUpdater
 
learningRate - Variable in class org.nd4j.linalg.learning.legacy.AdaGrad
 
learningRateDecayWords - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
learningRateDecayWords - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
learningRateId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder
 
learningRateMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder
 
learningRateMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder
 
learningRateMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder
 
learningRateMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder
 
learningRateMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder
 
learningRateNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder
 
learningRateNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder
 
learningRateSchedule - Variable in class org.deeplearning4j.arbiter.conf.updater.NesterovsSpace
 
learningRateSchedule - Variable in class org.deeplearning4j.arbiter.conf.updater.RmsPropSpace
 
learningRateSchedule - Variable in class org.deeplearning4j.arbiter.conf.updater.SgdSpace
 
learningRatesPresent() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
 
learningRatesPresent(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
 
learnSequence(Sequence<T>, AtomicLong, double) - Method in interface org.deeplearning4j.models.embeddings.learning.ElementsLearningAlgorithm
This method does training over the sequence of elements passed into it
learnSequence(Sequence<T>, AtomicLong, double) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
 
learnSequence(Sequence<T>, AtomicLong, double) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe
Learns sequence using GloVe algorithm
learnSequence(Sequence<T>, AtomicLong, double) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
Learns sequence using SkipGram algorithm
learnSequence(Sequence<T>, AtomicLong, double) - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
 
learnSequence(Sequence<T>, AtomicLong, double) - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
 
learnSequence(Sequence<T>, AtomicLong, double) - Method in interface org.deeplearning4j.models.embeddings.learning.SequenceLearningAlgorithm
This method does training over the sequence of elements passed into it
learnSequence(Sequence<ShallowSequenceElement>, AtomicLong, double) - Method in class org.deeplearning4j.spark.models.sequencevectors.learning.elements.BaseSparkLearningAlgorithm
 
LearnTool - Class in org.ansj.dic
新词发现,这是个线程安全的.所以可以多个对象公用一个
LearnTool() - Constructor for class org.ansj.dic.LearnTool
 
LecunUniformInitScheme - Class in org.nd4j.weightinit.impl
Initialize the weight to: randn(shape) //N(0, 2/nIn);
LecunUniformInitScheme(char, double) - Constructor for class org.nd4j.weightinit.impl.LecunUniformInitScheme
 
LEFT_ID - Static variable in class com.atilika.kuromoji.dict.DictionaryField
 
leftId - Variable in class com.atilika.kuromoji.dict.DictionaryEntryBase
 
leftId(short) - Method in class com.atilika.kuromoji.dict.GenericDictionaryEntry.Builder
 
leftTrim(int) - Method in class org.datavec.audio.Wave
Trim the wave data from beginning
leftTrim(double) - Method in class org.datavec.audio.Wave
Trim the wave data from beginning
legacyAveraging - Variable in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
 
legacyAveraging - Variable in class org.deeplearning4j.parallelism.ParallelWrapper
 
LegacyCalculateSortedRankDeserializer() - Constructor for class org.datavec.api.transform.serde.legacy.LegacyMappingHelper.LegacyCalculateSortedRankDeserializer
 
LegacyColumnAnalysisDeserializer() - Constructor for class org.datavec.api.transform.serde.legacy.LegacyMappingHelper.LegacyColumnAnalysisDeserializer
 
LegacyColumnMetaDataDeserializer() - Constructor for class org.datavec.api.transform.serde.legacy.LegacyMappingHelper.LegacyColumnMetaDataDeserializer
 
LegacyConditionDeserializer() - Constructor for class org.datavec.api.transform.serde.legacy.LegacyMappingHelper.LegacyConditionDeserializer
 
LegacyDistributionDeserializer - Class in org.deeplearning4j.nn.conf.distribution.serde
Jackson Json deserializer to handle legacy format for distributions.
Now, we use 'type' field which contains class information.
Previously, we used wrapper objects for type information instead (see TestDistributionDeserializer for examples)
LegacyDistributionDeserializer() - Constructor for class org.deeplearning4j.nn.conf.distribution.serde.LegacyDistributionDeserializer
 
LegacyDistributionHelper - Class in org.deeplearning4j.nn.conf.distribution.serde
A dummy helper "distribution" for deserializing distributions in legacy/different JSON format.
LegacyDropOut - Class in org.nd4j.linalg.api.ops.impl.transforms
DropOut implementation as Op PLEASE NOTE: This is legacy DropOut implementation, please consider using op with the same opName from randomOps
LegacyDropOut(SameDiff, SDVariable, boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LegacyDropOut
 
LegacyDropOut(SameDiff, SDVariable, long[], boolean, Object[], double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LegacyDropOut
 
LegacyDropOut(SameDiff, SDVariable, Object[], double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LegacyDropOut
 
LegacyDropOut() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LegacyDropOut
 
LegacyDropOut(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LegacyDropOut
 
LegacyDropOut(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LegacyDropOut
 
LegacyDropOut(INDArray, INDArray, double, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LegacyDropOut
 
LegacyDropOutInverted - Class in org.nd4j.linalg.api.ops.impl.transforms
Inverted DropOut implementation as Op PLEASE NOTE: This is legacy DropOutInverted implementation, please consider using op with the same opName from randomOps
LegacyDropOutInverted(SameDiff, SDVariable, boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LegacyDropOutInverted
 
LegacyDropOutInverted(SameDiff, SDVariable, long[], boolean, Object[], double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LegacyDropOutInverted
 
LegacyDropOutInverted(SameDiff, SDVariable, Object[], double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LegacyDropOutInverted
 
LegacyDropOutInverted() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LegacyDropOutInverted
 
LegacyDropOutInverted(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LegacyDropOutInverted
 
LegacyDropOutInverted(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LegacyDropOutInverted
 
LegacyDropOutInverted(INDArray, INDArray, double, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LegacyDropOutInverted
 
LegacyFilterDeserializer() - Constructor for class org.datavec.api.transform.serde.legacy.LegacyMappingHelper.LegacyFilterDeserializer
 
LegacyGraphVertexDeserializer - Class in org.deeplearning4j.nn.conf.serde.legacyformat
Deserializer for GraphVertex JSON in legacy format - see BaseLegacyDeserializer
LegacyGraphVertexDeserializer() - Constructor for class org.deeplearning4j.nn.conf.serde.legacyformat.LegacyGraphVertexDeserializer
 
LegacyGraphVertexDeserializerHelper - Class in org.deeplearning4j.nn.conf.serde.legacyformat
Simple helper class to redirect legacy JSON format to LegacyGraphVertexDeserializer via annotation on GraphVertex
LegacyIActivationDeserializer - Class in org.nd4j.serde.json
Deserializer for IActivation JSON in legacy format - see BaseLegacyDeserializer
LegacyIActivationDeserializer() - Constructor for class org.nd4j.serde.json.LegacyIActivationDeserializer
 
LegacyIActivationDeserializerHelper - Class in org.nd4j.serde.json
Simple helper class to redirect legacy JSON format to LegacyIActivationDeserializer via annotation on IActivation
LegacyILossFunctionDeserializer - Class in org.nd4j.serde.json
Deserializer for ILossFunction JSON in legacy format - see BaseLegacyDeserializer
LegacyILossFunctionDeserializer() - Constructor for class org.nd4j.serde.json.LegacyILossFunctionDeserializer
 
LegacyILossFunctionDeserializerHelper - Class in org.nd4j.serde.json
Simple helper class to redirect legacy JSON format to LegacyILossFunctionDeserializer via annotation on ILossFunction
LegacyImageMappingHelper - Class in org.datavec.image.serde
 
LegacyImageMappingHelper() - Constructor for class org.datavec.image.serde.LegacyImageMappingHelper
 
LegacyImageMappingHelper.ImageTransformHelper - Class in org.datavec.image.serde
 
LegacyImageMappingHelper.LegacyImageTransformDeserializer - Class in org.datavec.image.serde
 
LegacyImageTransformDeserializer() - Constructor for class org.datavec.image.serde.LegacyImageMappingHelper.LegacyImageTransformDeserializer
 
LegacyIntArrayDeserializer - Class in org.deeplearning4j.nn.conf.serde.legacyformat
Deserialize either an int[] to an int[], or a single int x to int[]{x,x} Used when supporting a configuration format change from single int value to int[], as for Upsampling2D between 1.0.0-alpha and 1.0.0-beta
LegacyIntArrayDeserializer() - Constructor for class org.deeplearning4j.nn.conf.serde.legacyformat.LegacyIntArrayDeserializer
 
LegacyIStringReducerDeserializer() - Constructor for class org.datavec.api.transform.serde.legacy.LegacyMappingHelper.LegacyIStringReducerDeserializer
 
LegacyLayerDeserializer - Class in org.deeplearning4j.nn.conf.serde.legacyformat
Deserializer for Layer JSON in legacy format - see BaseLegacyDeserializer
LegacyLayerDeserializer() - Constructor for class org.deeplearning4j.nn.conf.serde.legacyformat.LegacyLayerDeserializer
 
LegacyLayerDeserializerHelper - Class in org.deeplearning4j.nn.conf.serde.legacyformat
Simple helper class to redirect legacy JSON format to LegacyLayerDeserializer via annotation on Layer
legacyMappingForClass(Class) - Static method in class org.datavec.api.transform.serde.legacy.LegacyMappingHelper
 
LegacyMappingHelper - Class in org.datavec.api.transform.serde.legacy
 
LegacyMappingHelper() - Constructor for class org.datavec.api.transform.serde.legacy.LegacyMappingHelper
 
LegacyMappingHelper.CalculateSortedRankHelper - Class in org.datavec.api.transform.serde.legacy
 
LegacyMappingHelper.ColumnAnalysisHelper - Class in org.datavec.api.transform.serde.legacy
 
LegacyMappingHelper.ColumnMetaDataHelper - Class in org.datavec.api.transform.serde.legacy
 
LegacyMappingHelper.ConditionHelper - Class in org.datavec.api.transform.serde.legacy
 
LegacyMappingHelper.FilterHelper - Class in org.datavec.api.transform.serde.legacy
 
LegacyMappingHelper.IStringReducerHelper - Class in org.datavec.api.transform.serde.legacy
 
LegacyMappingHelper.LegacyCalculateSortedRankDeserializer - Class in org.datavec.api.transform.serde.legacy
 
LegacyMappingHelper.LegacyColumnAnalysisDeserializer - Class in org.datavec.api.transform.serde.legacy
 
LegacyMappingHelper.LegacyColumnMetaDataDeserializer - Class in org.datavec.api.transform.serde.legacy
 
LegacyMappingHelper.LegacyConditionDeserializer - Class in org.datavec.api.transform.serde.legacy
 
LegacyMappingHelper.LegacyFilterDeserializer - Class in org.datavec.api.transform.serde.legacy
 
LegacyMappingHelper.LegacyIStringReducerDeserializer - Class in org.datavec.api.transform.serde.legacy
 
LegacyMappingHelper.LegacySchemaDeserializer - Class in org.datavec.api.transform.serde.legacy
 
LegacyMappingHelper.LegacySequenceComparatorDeserializer - Class in org.datavec.api.transform.serde.legacy
 
LegacyMappingHelper.LegacySequenceSplitDeserializer - Class in org.datavec.api.transform.serde.legacy
 
LegacyMappingHelper.LegacyTransformDeserializer - Class in org.datavec.api.transform.serde.legacy
 
LegacyMappingHelper.LegacyWindowFunctionDeserializer - Class in org.datavec.api.transform.serde.legacy
 
LegacyMappingHelper.LegacyWritableComparatorDeserializer - Class in org.datavec.api.transform.serde.legacy
 
LegacyMappingHelper.LegacyWritableDeserializer - Class in org.datavec.api.transform.serde.legacy
 
LegacyMappingHelper.SchemaHelper - Class in org.datavec.api.transform.serde.legacy
 
LegacyMappingHelper.SequenceComparatorHelper - Class in org.datavec.api.transform.serde.legacy
 
LegacyMappingHelper.SequenceSplitHelper - Class in org.datavec.api.transform.serde.legacy
 
LegacyMappingHelper.TransformHelper - Class in org.datavec.api.transform.serde.legacy
 
LegacyMappingHelper.WindowFunctionHelper - Class in org.datavec.api.transform.serde.legacy
 
LegacyMappingHelper.WritableComparatorHelper - Class in org.datavec.api.transform.serde.legacy
 
LegacyMappingHelper.WritableHelper - Class in org.datavec.api.transform.serde.legacy
 
legacyNamesMap - Variable in class org.datavec.api.transform.serde.legacy.GenericLegacyDeserializer
 
LegacyPooling2D - Class in org.nd4j.linalg.api.ops.impl.layers.convolution
Deprecated.
Note: This operation will be removed in a future release
LegacyPooling2D() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.LegacyPooling2D
Deprecated.
 
LegacyPooling2D(INDArray, int, int, int, int, int, int, int, int, boolean, LegacyPooling2D.Pooling2DType, double, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.LegacyPooling2D
Deprecated.
 
LegacyPooling2D.Pooling2DType - Enum in org.nd4j.linalg.api.ops.impl.layers.convolution
Deprecated.
 
LegacyPreprocessorDeserializer - Class in org.deeplearning4j.nn.conf.serde.legacyformat
Deserializer for InputPreProcessor JSON in legacy format - see BaseLegacyDeserializer
LegacyPreprocessorDeserializer() - Constructor for class org.deeplearning4j.nn.conf.serde.legacyformat.LegacyPreprocessorDeserializer
 
LegacyPreprocessorDeserializerHelper - Class in org.deeplearning4j.nn.conf.serde.legacyformat
Simple helper class to redirect legacy JSON format to LegacyPreprocessorDeserializer via annotation on InputPreProcessor
LegacyReconstructionDistributionDeserializer - Class in org.deeplearning4j.nn.conf.serde.legacyformat
Deserializer for ReconstructionDistribution JSON in legacy format - see BaseLegacyDeserializer
LegacyReconstructionDistributionDeserializer() - Constructor for class org.deeplearning4j.nn.conf.serde.legacyformat.LegacyReconstructionDistributionDeserializer
 
LegacyReconstructionDistributionDeserializerHelper - Class in org.deeplearning4j.nn.conf.serde.legacyformat
Simple helper class to redirect legacy JSON format to LegacyReconstructionDistributionDeserializer via annotation on ReconstructionDistribution
LegacySchemaDeserializer() - Constructor for class org.datavec.api.transform.serde.legacy.LegacyMappingHelper.LegacySchemaDeserializer
 
LegacySequenceComparatorDeserializer() - Constructor for class org.datavec.api.transform.serde.legacy.LegacyMappingHelper.LegacySequenceComparatorDeserializer
 
LegacySequenceSplitDeserializer() - Constructor for class org.datavec.api.transform.serde.legacy.LegacyMappingHelper.LegacySequenceSplitDeserializer
 
LegacyTransformDeserializer() - Constructor for class org.datavec.api.transform.serde.legacy.LegacyMappingHelper.LegacyTransformDeserializer
 
LegacyWindowFunctionDeserializer() - Constructor for class org.datavec.api.transform.serde.legacy.LegacyMappingHelper.LegacyWindowFunctionDeserializer
 
LegacyWritableComparatorDeserializer() - Constructor for class org.datavec.api.transform.serde.legacy.LegacyMappingHelper.LegacyWritableComparatorDeserializer
 
LegacyWritableDeserializer() - Constructor for class org.datavec.api.transform.serde.legacy.LegacyMappingHelper.LegacyWritableDeserializer
 
legend(boolean) - Method in class org.datavec.api.transform.ui.components.RenderableComponentLineChart.Builder
 
len - Variable in class org.ansj.app.crf.pojo.Element
 
LeNet - Class in org.deeplearning4j.zoo.model
LeNet was an early promising achiever on the ImageNet dataset.
length - Variable in class org.datavec.api.split.BaseInputSplit
 
length() - Method in class org.datavec.api.split.BaseInputSplit
 
length() - Method in class org.datavec.api.split.CollectionInputSplit
 
length() - Method in class org.datavec.api.split.FileSplit
 
length() - Method in interface org.datavec.api.split.InputSplit
Length of the split
length() - Method in class org.datavec.api.split.InputStreamInputSplit
 
length() - Method in class org.datavec.api.split.ListStringSplit
Length of the split
length() - Method in class org.datavec.api.split.NumberedFileInputSplit
 
length() - Method in class org.datavec.api.split.OutputStreamInputSplit
 
length() - Method in class org.datavec.api.split.StringSplit
 
length() - Method in class org.datavec.api.writable.ArrayWritable
 
length() - Method in class org.datavec.api.writable.BytesWritable
 
length() - Method in class org.datavec.api.writable.NDArrayWritable
 
length() - Method in class org.datavec.audio.Wave
Length of the wave in second
length(byte[]) - Static method in class org.deeplearning4j.ui.stats.impl.SbeUtil
 
length(byte[][]) - Static method in class org.deeplearning4j.ui.stats.impl.SbeUtil
 
length(byte[][][]) - Static method in class org.deeplearning4j.ui.stats.impl.SbeUtil
 
length(String) - Static method in class org.deeplearning4j.ui.stats.impl.SbeUtil
 
length(String[]) - Static method in class org.deeplearning4j.ui.stats.impl.SbeUtil
 
length() - Method in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Decoder
 
length(long) - Method in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Encoder
 
length - Variable in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
length() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
length() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
Returns the length of the buffer
length - Variable in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
 
length() - Method in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
 
length() - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
 
length() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Returns the total number of elements in the ndarray
length - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArrayProxy
 
length - Variable in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
length() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
length() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Returns the total number of elements in the ndarray
length - Variable in class org.nd4j.linalg.api.ndarray.JvmShapeInfo
 
length(IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
Gets the rank given the shape info buffer
length(DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
Gets the rank given the shape info buffer
length(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
 
length(long[]) - Static method in class org.nd4j.linalg.api.shape.Shape
 
length() - Method in class org.nd4j.linalg.compression.CompressedDataBuffer
 
length() - Method in interface org.nd4j.linalg.indexing.INDArrayIndex
The total length of this index (end - start)
length - Variable in class org.nd4j.linalg.indexing.IntervalIndex
 
length() - Method in class org.nd4j.linalg.indexing.IntervalIndex
 
length() - Method in class org.nd4j.linalg.indexing.NDArrayIndex
Returns the length of the indices
length() - Method in class org.nd4j.linalg.indexing.NDArrayIndexEmpty
 
length() - Method in class org.nd4j.linalg.indexing.NewAxis
 
length() - Method in class org.nd4j.linalg.indexing.PointIndex
 
length() - Method in class org.nd4j.linalg.indexing.SpecifiedIndex
 
length(LongPointer) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
length(LongBuffer) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
length(long[]) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
length(LongPointer) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
length(LongBuffer) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
length(long[]) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
LENGTH_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorSliceProto.Extent
 
LENGTH_FRAMES_FIELD_NUMBER - Static variable in class org.tensorflow.framework.Summary.Audio
 
lengthForDtype(DataBuffer.Type) - Static method in class org.nd4j.linalg.api.buffer.util.DataTypeUtil
Returns the length for the given data opType
lengthForShapeBufferPointer(Pointer) - Method in class org.nd4j.nativeblas.NativeOps
Return the length of a shape buffer based on the pointer
lengthForShapeBufferPointer(Pointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
Return the length of a shape buffer based on the pointer
lengthForShapeBufferPointer(Pointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
Return the length of a shape buffer based on the pointer
lengthLong() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Deprecated.
lengthLong() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
lengthLong() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Returns the total number of elements in the ndarray
lengthMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Decoder
 
lengthMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Encoder
 
lengthMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Decoder
 
lengthMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Encoder
 
lengthNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Decoder
 
lengthNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Encoder
 
lengthOf(long[]) - Static method in class org.nd4j.linalg.api.shape.Shape
 
lengthOf() - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
returns length of array
lengthOf() - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
returns length of array
lengthOf() - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
returns length of array
lengthOf() - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
returns length of array
lengthOf() - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
returns length of array
lengthOf() - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
returns length of array
lengthPerSlice(INDArray, int...) - Static method in class org.nd4j.linalg.util.NDArrayMath
The number of elements in a slice along a set of dimensions
lengthPerSlice(INDArray) - Static method in class org.nd4j.linalg.util.NDArrayMath
Return the length of a slice
lengthPerSlice(int, LongPointer, IntPointer, int) - Static method in class org.nd4j.nativeblas.Nd4jCpu
Get the length per slice of the given shape and the dimension
lengthPerSlice(int, LongBuffer, IntBuffer, int) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
lengthPerSlice(int, long[], int[], int) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
lengthPerSlice(int, LongPointer, IntPointer, int) - Static method in class org.nd4j.nativeblas.Nd4jCuda
Get the length per slice of the given shape and the dimension
lengthPerSlice(int, LongBuffer, IntBuffer, int) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
lengthPerSlice(int, long[], int[], int) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
LengthUnit - Enum in org.deeplearning4j.ui.api
LengthUnit: an enum for specifying units for things such as width and height
LESS - Static variable in class org.deeplearning4j.clustering.kdtree.KDTree
 
LessThan - Class in org.nd4j.linalg.api.ops.impl.transforms.comparison
Bit mask over the ndarrays as to whether the components are less than or not
LessThan() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.LessThan
 
LessThan(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.LessThan
 
LessThan(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.LessThan
 
lessThan(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
 
LessThan - Class in org.nd4j.linalg.indexing.conditions
Created by agibsonccc on 10/8/14.
LessThan() - Constructor for class org.nd4j.linalg.indexing.conditions.LessThan
Special constructor for pairwise boolean operations.
LessThan(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.LessThan
 
lessThan(int[], int[]) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
lessThan(Nd4jCpu.KeyPair) - Method in class org.nd4j.nativeblas.Nd4jCpu.KeyPair
 
lessThan(Nd4jCuda.KeyPair) - Method in class org.nd4j.nativeblas.Nd4jCuda.KeyPair
 
LessThanOrEqual - Class in org.nd4j.linalg.api.ops.impl.transforms.comparison
Bit mask over the ndarrays as to whether the components are less than or equal or not
LessThanOrEqual() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.LessThanOrEqual
 
LessThanOrEqual(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.LessThanOrEqual
 
LessThanOrEqual(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.LessThanOrEqual
 
lessThanOrEqual(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
 
LessThanOrEqual - Class in org.nd4j.linalg.indexing.conditions
Created by agibsonccc on 10/8/14.
LessThanOrEqual() - Constructor for class org.nd4j.linalg.indexing.conditions.LessThanOrEqual
Special constructor for pairwise boolean operations.
LessThanOrEqual(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.LessThanOrEqual
 
lessThanOrEqual(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
1 if less than or equal to 0 otherwise (at each element)
lessThanOrEqual(INDArray, INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
Eps function
Level1 - Interface in org.nd4j.linalg.api.blas
Level 1 blas implementations.
level1() - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
 
level1 - Variable in class org.nd4j.linalg.factory.BaseNDArrayFactory
 
level1() - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
 
level1() - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
 
level1() - Method in interface org.nd4j.linalg.factory.BlasWrapper
Return the level 1 functions for this blas impl
level1() - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Return the level 1 blas operations
Level2 - Interface in org.nd4j.linalg.api.blas
Level 2 blas implementations.
level2() - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
 
level2 - Variable in class org.nd4j.linalg.factory.BaseNDArrayFactory
 
level2() - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
 
level2() - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
 
level2() - Method in interface org.nd4j.linalg.factory.BlasWrapper
Return the level 2 functions for this blas impl
level2() - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Return the level 2 blas operations
Level3 - Interface in org.nd4j.linalg.api.blas
Level 3 blas implementations.
level3() - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
 
level3 - Variable in class org.nd4j.linalg.factory.BaseNDArrayFactory
 
level3() - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
 
level3() - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
 
level3() - Method in interface org.nd4j.linalg.factory.BlasWrapper
Return the level 3 functions for this blas impl
level3() - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Return the level 3 blas operations
leverage() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
This method detaches INDArray from current Workspace, and attaches it to Workspace above, if any.
leverage() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
leverage() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
This method detaches INDArray from current Workspace, and attaches it to Workspace above, if any.
leverageOrDetach(String) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
This method detaches INDArray from current Workspace, and attaches it to Workspace with a given Id, if a workspace with the given ID is open and active.
leverageOrDetach(String) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
leverageOrDetach(String) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
This method detaches INDArray from current Workspace, and attaches it to Workspace with a given Id, if a workspace with the given ID is open and active.
leverageTo(String) - Method in class org.deeplearning4j.nn.layers.recurrent.FwdPassReturn
This method is OPTIONAL, and written mostly for future use
leverageTo(ArrayType, INDArray) - Method in class org.deeplearning4j.nn.workspace.LayerWorkspaceMgr
 
leverageTo(String) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
This method detaches INDArray from current Workspace, and attaches it to Workspace with a given Id PLEASE NOTE: If this INDArray instance is NOT attached - it will be returned unmodified.
leverageTo(String, boolean) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
This method detaches INDArray from current Workspace, and attaches it to Workspace with a given Id.
leverageTo(String) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
leverageTo(String, boolean) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
leverageTo(String) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
This method detaches INDArray from current Workspace, and attaches it to Workspace with a given Id - if a workspace with that ID exists.
leverageTo(String, boolean) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
This method detaches INDArray from current Workspace, and attaches it to Workspace with a given Id.
leverageTo(String) - Method in class org.nd4j.linalg.jcublas.JCublasNDArray
 
leverageTo(T, INDArray) - Method in class org.nd4j.linalg.workspace.BaseWorkspaceMgr
 
leverageTo(T, INDArray) - Method in interface org.nd4j.linalg.workspace.WorkspaceMgr
Leverage the array to the specified array type's workspace (or detach if required).
lfwData - Static variable in class org.datavec.image.loader.LFWLoader
 
LFWDataSetIterator - Class in org.deeplearning4j.datasets.iterator.impl
 
LFWDataSetIterator(int[]) - Constructor for class org.deeplearning4j.datasets.iterator.impl.LFWDataSetIterator
Loads subset of images with given imgDim returned by the generator.
LFWDataSetIterator(int, int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.LFWDataSetIterator
Loads images with given batchSize, numExamples returned by the generator.
LFWDataSetIterator(int, int, int[]) - Constructor for class org.deeplearning4j.datasets.iterator.impl.LFWDataSetIterator
Loads images with given batchSize, numExamples, imgDim returned by the generator.
LFWDataSetIterator(int, int[], boolean) - Constructor for class org.deeplearning4j.datasets.iterator.impl.LFWDataSetIterator
Loads images with given batchSize, imgDim, useSubset, returned by the generator.
LFWDataSetIterator(int, int, int[], boolean, double) - Constructor for class org.deeplearning4j.datasets.iterator.impl.LFWDataSetIterator
Loads images with given batchSize, numExamples, imgDim, train, & splitTrainTest returned by the generator.
LFWDataSetIterator(int, int, int, boolean, double) - Constructor for class org.deeplearning4j.datasets.iterator.impl.LFWDataSetIterator
Loads images with given batchSize, numExamples, numLabels, train, & splitTrainTest returned by the generator.
LFWDataSetIterator(int, int, int[], int, boolean, boolean, double, Random) - Constructor for class org.deeplearning4j.datasets.iterator.impl.LFWDataSetIterator
Loads images with given batchSize, numExamples, imgDim, numLabels, useSubset, train, splitTrainTest & Random returned by the generator.
LFWDataSetIterator(int, int, int[], int, boolean, PathLabelGenerator, boolean, double, Random) - Constructor for class org.deeplearning4j.datasets.iterator.impl.LFWDataSetIterator
Loads images with given batchSize, numExamples, imgDim, numLabels, useSubset, train, splitTrainTest & Random returned by the generator.
LFWDataSetIterator(int, int, int[], int, boolean, PathLabelGenerator, boolean, double, ImageTransform, Random) - Constructor for class org.deeplearning4j.datasets.iterator.impl.LFWDataSetIterator
Create LFW data specific iterator
lfwLabel - Static variable in class org.datavec.image.loader.LFWLoader
 
LFWLoader - Class in org.datavec.image.loader
Loads LFW faces data transform.
LFWLoader() - Constructor for class org.datavec.image.loader.LFWLoader
 
LFWLoader(boolean) - Constructor for class org.datavec.image.loader.LFWLoader
 
LFWLoader(int[], boolean) - Constructor for class org.datavec.image.loader.LFWLoader
 
LFWLoader(long[], boolean) - Constructor for class org.datavec.image.loader.LFWLoader
 
LFWLoader(int[], ImageTransform, boolean) - Constructor for class org.datavec.image.loader.LFWLoader
 
LFWLoader(long[], ImageTransform, boolean) - Constructor for class org.datavec.image.loader.LFWLoader
 
lfwSubsetData - Static variable in class org.datavec.image.loader.LFWLoader
 
LIBRARY_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphDef
 
LibraryException - Exception in org.ansj.exception
 
LibraryException(Exception) - Constructor for exception org.ansj.exception.LibraryException
 
LibraryException(String) - Constructor for exception org.ansj.exception.LibraryException
 
LibSvmInputFormat - Class in org.datavec.api.formats.input.impl
Lib svm input format
LibSvmInputFormat() - Constructor for class org.datavec.api.formats.input.impl.LibSvmInputFormat
 
LibSvmOutputFormat - Class in org.datavec.api.formats.output.impl
 
LibSvmOutputFormat() - Constructor for class org.datavec.api.formats.output.impl.LibSvmOutputFormat
 
LibSvmRecordReader - Class in org.datavec.api.records.reader.impl.misc
Record reader for libsvm format, which is closely related to SVMLight format.
LibSvmRecordReader() - Constructor for class org.datavec.api.records.reader.impl.misc.LibSvmRecordReader
 
LibSvmRecordWriter - Class in org.datavec.api.records.writer.impl.misc
Record writer for libsvm format, which is closely related to SVMLight format.
LibSvmRecordWriter() - Constructor for class org.datavec.api.records.writer.impl.misc.LibSvmRecordWriter
 
limit - Variable in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
limit() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
limit(int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
limit - Variable in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
limit() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
limit(int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
limit - Variable in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
limit() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
limit(int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
limit - Variable in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
limit() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
limit(int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
limit - Variable in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
limit() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
limit(int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
limit - Variable in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
limit() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
limit(int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
limitDecimalTo2(double) - Static method in class org.nd4j.util.StringUtils
Deprecated.
use StringUtils.format("%.2f", d).
LimitedContextPool - Class in org.nd4j.jita.allocator.context.impl
 
LimitedContextPool() - Constructor for class org.nd4j.jita.allocator.context.impl.LimitedContextPool
 
limitVocabularySize(int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method sets vocabulary limit during construction.
limitVocabularySize(int) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
This method sets vocabulary limit during construction.
limitVocabularySize(int) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method sets vocabulary limit during construction.
LinAlgExceptions - Class in org.nd4j.linalg.util
Linear algebra exceptions
LinAlgExceptions() - Constructor for class org.nd4j.linalg.util.LinAlgExceptions
 
linear(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
linear(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Linear layer operation: out = mmul(in,w) + bias
Note that bias array is optional
Linear - Class in org.nd4j.linalg.api.ops.impl.layers
Linear: a * bT
Linear(int, int, WeightInitScheme, WeightInitScheme) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.Linear
 
Linear(SameDiff, int, int, WeightInitScheme, WeightInitScheme) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.Linear
 
linearIndex(long) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Deprecated.
linearIndex(long) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
linearIndex(long) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Get the linear index of the data in to the array
LinearIndexLookup - Class in org.nd4j.linalg.api.iter
Represents a cache linear index lookup
LinearIndexLookup(int[], char) - Constructor for class org.nd4j.linalg.api.iter.LinearIndexLookup
 
LinearIndexLookup(long[], char) - Constructor for class org.nd4j.linalg.api.iter.LinearIndexLookup
 
LinearInterpolation - Class in org.datavec.audio.dsp
Construct new data points within the range of a discrete set of known data points by linear equation
LinearInterpolation() - Constructor for class org.datavec.audio.dsp.LinearInterpolation
 
linearOffset(int, INDArray) - Static method in class org.nd4j.linalg.indexing.Indices
Compute the linear offset for an index in an ndarray.
linearView() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Deprecated.
Linear views are not always possible. Use reshape(array.length()) or reshape(1,array.length())
linearView() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
linearView() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Deprecated.
Linear views are not always possible. Use reshape(array.length()) or reshape(1,array.length())
linearViewColumnOrder() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Deprecated.
linearViewColumnOrder() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
linearViewColumnOrder() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Deprecated.
LineGradientDescent - Class in org.deeplearning4j.optimize.solvers
Stochastic Gradient Descent with Line Search
LineGradientDescent(NeuralNetConfiguration, StepFunction, Collection<TrainingListener>, Model) - Constructor for class org.deeplearning4j.optimize.solvers.LineGradientDescent
 
lineIndex - Variable in class org.datavec.api.records.reader.impl.LineRecordReader
 
LineInputFormat - Class in org.datavec.api.formats.input.impl
Line input format creates an @link{LineRecordReader}
LineInputFormat() - Constructor for class org.datavec.api.formats.input.impl.LineInputFormat
 
lineMaximizer - Variable in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
LineOptimizer - Interface in org.deeplearning4j.optimize.api
Line optimizer interface adapted from mallet
LineOutputFormat - Class in org.datavec.api.formats.output.impl
Line output format
LineOutputFormat() - Constructor for class org.datavec.api.formats.output.impl.LineOutputFormat
 
LineRecordReader - Class in org.datavec.api.records.reader.impl
Reads files line by line
LineRecordReader() - Constructor for class org.datavec.api.records.reader.impl.LineRecordReader
 
LineRecordReaderFunction - Class in org.datavec.local.transforms.functions
LineRecordReaderFunction: Used to map a JavaRDD<String> to a JavaRDD<Collection<Writable>> Note that this is most useful with LineRecordReader instances (CSVRecordReader, SVMLightRecordReader, etc)
LineRecordReaderFunction(RecordReader) - Constructor for class org.datavec.local.transforms.functions.LineRecordReaderFunction
 
LineRecordReaderFunction - Class in org.datavec.spark.functions
LineRecordReaderFunction: Used to map a JavaRDD<String> to a JavaRDD<Collection<Writable>> Note that this is most useful with LineRecordReader instances (CSVRecordReader, SVMLightRecordReader, etc)
LineRecordReaderFunction(RecordReader) - Constructor for class org.datavec.spark.functions.LineRecordReaderFunction
 
LineRecordWriter - Class in org.datavec.api.records.writer.impl
Line record writer
LineRecordWriter() - Constructor for class org.datavec.api.records.writer.impl.LineRecordWriter
 
LINES_PER_SEQUENCE - Static variable in class org.datavec.api.records.reader.impl.csv.CSVNLinesSequenceRecordReader
 
LINES_PER_SEQUENCE - Static variable in class org.datavec.api.records.reader.impl.csv.CSVVariableSlidingWindowRecordReader
 
LineSentenceIterator - Class in org.deeplearning4j.text.sentenceiterator
Each line is a sentence
LineSentenceIterator(File) - Constructor for class org.deeplearning4j.text.sentenceiterator.LineSentenceIterator
 
LinkedMultiValueMap<K,V> - Class in org.nd4j.linalg.util
 
LinkedMultiValueMap() - Constructor for class org.nd4j.linalg.util.LinkedMultiValueMap
 
LinkedMultiValueMap(int) - Constructor for class org.nd4j.linalg.util.LinkedMultiValueMap
 
LinkedMultiValueMap(Map<K, List<V>>) - Constructor for class org.nd4j.linalg.util.LinkedMultiValueMap
 
linspace(double, double, long) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
linspace(double, double, long) - Method in class org.nd4j.autodiff.samediff.SameDiff
Create a new 1d array with values evenly spaced between values 'start' and 'stop' For example, linspace(start=3.0, stop=4.0, number=3) will generate [3.0, 3.5, 4.0]
linspace(String, double, double, long) - Method in class org.nd4j.autodiff.samediff.SameDiff
Create a new 1d array with values evenly spaced between values 'start' and 'stop' For example, linspace(start=3.0, stop=4.0, number=3) will generate [3.0, 3.5, 4.0]
Linspace - Class in org.nd4j.linalg.api.ops.random.impl
Linspace/arange Op implementation, generates from..to distribution within Z
Linspace() - Constructor for class org.nd4j.linalg.api.ops.random.impl.Linspace
 
Linspace(double, double, int) - Constructor for class org.nd4j.linalg.api.ops.random.impl.Linspace
 
Linspace(INDArray, double, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.Linspace
 
Linspace(SameDiff, double, double, long) - Constructor for class org.nd4j.linalg.api.ops.random.impl.Linspace
 
linspace(int, int, int) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
Generate a linearly spaced vector
linspace(long, long, long) - Static method in class org.nd4j.linalg.factory.Nd4j
Generate a linearly spaced vector
linspace(double, double, long) - Static method in class org.nd4j.linalg.factory.Nd4j
Generate a linearly spaced vector
linspace(float, float, long) - Static method in class org.nd4j.linalg.factory.Nd4j
Generate a linearly spaced vector
linspace(int, int, int) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Generate a linearly spaced vector
linspace(double, double, long) - Static method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
linspace(double, double) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
fill array linearly as follows: arr[0] = from, arr[1] = from+step, arr[2] = from+2*step, ...
linspace(double) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
linspace(float, float, long) - Static method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
linspace(float, float) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
fill array linearly as follows: arr[0] = from, arr[1] = from+step, arr[2] = from+2*step, ...
linspace(float) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
linspace(short, short, long) - Static method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
linspace(short, short) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
fill array linearly as follows: arr[0] = from, arr[1] = from+step, arr[2] = from+2*step, ...
linspace(short) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
linspace(double, double, long) - Static method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
linspace(double, double) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
fill array linearly as follows: arr[0] = from, arr[1] = from+step, arr[2] = from+2*step, ...
linspace(double) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
linspace(float, float, long) - Static method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
linspace(float, float) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
fill array linearly as follows: arr[0] = from, arr[1] = from+step, arr[2] = from+2*step, ...
linspace(float) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
linspace(short, short, long) - Static method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
linspace(short, short) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
fill array linearly as follows: arr[0] = from, arr[1] = from+step, arr[2] = from+2*step, ...
linspace(short) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
list - Variable in class org.deeplearning4j.clustering.vptree.VPTree.NodeBuilder
 
list - Variable in class org.deeplearning4j.datasets.iterator.file.BaseFileIterator
 
list() - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Create a ListBuilder (for creating a MultiLayerConfiguration)
Usage:
list(Layer...) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Create a ListBuilder (for creating a MultiLayerConfiguration) with the specified layers
Usage:
list - Variable in class org.nd4j.parameterserver.distributed.messages.Frame
 
LIST_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AttrValue
 
listActiveClusterIds() - Method in class org.deeplearning4j.aws.emr.SparkEMRClient
List existing active cluster IDs
listActiveClusterNames() - Method in class org.deeplearning4j.aws.emr.SparkEMRClient
Lists existing active clusters Names
listAll(String) - Static method in class org.deeplearning4j.gym.Client
 
listAll() - Method in class org.deeplearning4j.gym.Client
 
ListBuilder(NeuralNetConfiguration.Builder, Map<Integer, NeuralNetConfiguration.Builder>) - Constructor for class org.deeplearning4j.nn.conf.NeuralNetConfiguration.ListBuilder
 
ListBuilder(NeuralNetConfiguration.Builder) - Constructor for class org.deeplearning4j.nn.conf.NeuralNetConfiguration.ListBuilder
 
ListDataSetIterator<T extends DataSet> - Class in org.deeplearning4j.datasets.iterator.impl
Wraps a data applyTransformToDestination collection
ListDataSetIterator(Collection<T>, int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.ListDataSetIterator
 
ListDataSetIterator(Collection<T>) - Constructor for class org.deeplearning4j.datasets.iterator.impl.ListDataSetIterator
Initializes with a batch of 5
ListDiff - Class in org.nd4j.linalg.api.ops.impl.transforms.comparison
 
ListDiff() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.comparison.ListDiff
 
listener(TrainingListener...) - Method in class org.deeplearning4j.optimize.Solver.Builder
 
ListenerEvent - Enum in org.deeplearning4j.models.sequencevectors.enums
This enum defines possible events, when specific VectorsListener will be fired
listeners - Variable in class org.datavec.api.records.reader.BaseRecordReader
 
listeners - Variable in class org.deeplearning4j.nn.layers.normalization.BatchNormalization
 
listeners(Collection<TrainingListener>) - Method in class org.deeplearning4j.optimize.Solver.Builder
 
listeners - Variable in class org.deeplearning4j.parallelism.ParallelWrapper
 
listeners - Variable in class org.deeplearning4j.spark.impl.paramavg.BaseTrainingMaster
 
listeners - Variable in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
listGitPropertiesFiles() - Static method in class org.nd4j.versioncheck.VersionCheck
 
listIterator() - Method in class org.datavec.api.writable.batch.AbstractTimeSeriesWritableRecordBatch
 
listIterator(int) - Method in class org.datavec.api.writable.batch.AbstractTimeSeriesWritableRecordBatch
 
listIterator() - Method in class org.datavec.api.writable.batch.AbstractWritableRecordBatch
 
listIterator(int) - Method in class org.datavec.api.writable.batch.AbstractWritableRecordBatch
 
listIterator() - Method in class org.datavec.arrow.recordreader.ArrowWritableRecordBatch
 
listIterator(int) - Method in class org.datavec.arrow.recordreader.ArrowWritableRecordBatch
 
listIterator() - Method in class org.datavec.arrow.recordreader.ArrowWritableRecordTimeSeriesBatch
 
listIterator(int) - Method in class org.datavec.arrow.recordreader.ArrowWritableRecordTimeSeriesBatch
 
listIterator() - Method in class org.nd4j.linalg.collection.CompactHeapStringList
 
listIterator(int) - Method in class org.nd4j.linalg.collection.CompactHeapStringList
 
listIterator() - Method in class org.nd4j.list.BaseNDArrayList
 
listIterator(int) - Method in class org.nd4j.list.BaseNDArrayList
 
listIterator() - Method in class org.nd4j.list.matrix.MatrixBaseNDArrayList
 
listIterator(int) - Method in class org.nd4j.list.matrix.MatrixBaseNDArrayList
 
listIterator() - Method in class org.nd4j.list.NDArrayList
 
listIterator(int) - Method in class org.nd4j.list.NDArrayList
 
listObjects(String) - Method in class org.deeplearning4j.aws.s3.reader.S3Downloader
Simple way of retrieving the listings for a bucket
listObjectsInFile(File) - Static method in class org.deeplearning4j.util.ModelSerializer
List the keys of all objects added using the method ModelSerializer.addObjectToFile(File, String, Object)
listOfIntsContains(List<int[]>, int[]) - Static method in class org.nd4j.linalg.util.ArrayUtil
Proper comparison contains for list of int arrays
listPaths(JavaSparkContext, String) - Static method in class org.deeplearning4j.spark.util.SparkUtils
List of the files in the given directory (path), as a JavaRDD<String>
listPaths(JavaSparkContext, String, boolean) - Static method in class org.deeplearning4j.spark.util.SparkUtils
List of the files in the given directory (path), as a JavaRDD<String>
ListSequenceConvertFunction<T extends SequenceElement> - Class in org.deeplearning4j.spark.models.sequencevectors.functions
Simple function to convert List to Sequence
ListSequenceConvertFunction() - Constructor for class org.deeplearning4j.spark.models.sequencevectors.functions.ListSequenceConvertFunction
 
listSessionIDs() - Method in interface org.deeplearning4j.api.storage.StatsStorage
Get a list of all sessions stored by this storage backend
listSessionIDs() - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
listSessionIDs() - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
 
ListStringInputFormat - Class in org.datavec.api.formats.input.impl
Input format for the @link {ListStringRecordReader}
ListStringInputFormat() - Constructor for class org.datavec.api.formats.input.impl.ListStringInputFormat
 
ListStringInputMarshaller - Class in org.datavec.camel.component.csv.marshaller
Marshals List>
ListStringInputMarshaller() - Constructor for class org.datavec.camel.component.csv.marshaller.ListStringInputMarshaller
 
ListStringRecordReader - Class in org.datavec.api.records.reader.impl.collection
Iterates through a list of strings return a record.
ListStringRecordReader() - Constructor for class org.datavec.api.records.reader.impl.collection.ListStringRecordReader
 
ListStringSplit - Class in org.datavec.api.split
An input split that already has delimited data of some kind.
ListStringSplit(List<List<String>>) - Constructor for class org.datavec.api.split.ListStringSplit
 
listToArray(List<Byte>) - Static method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
 
listToArray(List<Integer>, int) - Static method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
 
listTypeIDsForSession(String) - Method in interface org.deeplearning4j.api.storage.StatsStorage
Get the list of type IDs for the given session ID
listTypeIDsForSession(String) - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
listTypeIDsForSession(String) - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
 
listWorkerIDsForSession(String) - Method in interface org.deeplearning4j.api.storage.StatsStorage
For a given session ID, list all of the known worker IDs
listWorkerIDsForSession(String) - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
listWorkerIDsForSession(String) - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
 
listWorkerIDsForSessionAndType(String, String) - Method in interface org.deeplearning4j.api.storage.StatsStorage
For a given session ID and type ID, list all of the known worker IDs
listWorkerIDsForSessionAndType(String, String) - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
listWorkerIDsForSessionAndType(String, String) - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
 
ListWrappers - Class in org.datavec.api.transform.serde
A collection of list wrappers to avoid issues with Jackson losing generic type information and hence ignoring the json configuration annotations.
These are used internally in BaseSerializer and should not be used elsewhere
ListWrappers.ConditionList - Class in org.datavec.api.transform.serde
 
ListWrappers.DataActionList - Class in org.datavec.api.transform.serde
 
ListWrappers.FilterList - Class in org.datavec.api.transform.serde
 
ListWrappers.ReducerList - Class in org.datavec.api.transform.serde
 
ListWrappers.SequenceComparatorList - Class in org.datavec.api.transform.serde
 
ListWrappers.TransformList - Class in org.datavec.api.transform.serde
 
LIVE_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AllocatorMemoryUsed
 
lLength() - Method in class org.nd4j.graph.FlatProperties
 
load(String) - Static method in class org.ansj.app.crf.Model
模型读取
load(Class<? extends Model>, InputStream) - Static method in class org.ansj.app.crf.Model
模型读取
load() - Method in class org.datavec.image.loader.CifarLoader
 
load() - Method in class org.datavec.image.loader.LFWLoader
 
load(long, long, long, PathLabelGenerator, double, Random) - Method in class org.datavec.image.loader.LFWLoader
 
load(Source) - Method in class org.deeplearning4j.api.loader.impl.SerializedDataSetLoader
 
load(Source) - Method in class org.deeplearning4j.api.loader.impl.SerializedMultiDataSetLoader
 
load(File) - Method in class org.deeplearning4j.datasets.iterator.file.BaseFileIterator
 
load(File) - Method in class org.deeplearning4j.datasets.iterator.file.FileDataSetIterator
 
load(File) - Method in class org.deeplearning4j.datasets.iterator.file.FileMultiDataSetIterator
 
load(InputStream, VocabCache<? extends SequenceElement>) - Static method in class org.deeplearning4j.models.glove.GloveWeightLookupTable
Deprecated.
Load a glove model from an input stream.
load(InputStream) - Static method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
Load a look up cache from an input stream delimited by \n
load(File, boolean) - Static method in class org.deeplearning4j.nn.graph.ComputationGraph
Restore a ComputationGraph to a file, saved using ComputationGraph.save(File) or ModelSerializer
load(File, boolean) - Static method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Restore a MultiLayerNetwork to a file, saved using MultiLayerNetwork.save(File) or ModelSerializer
load(String) - Static method in class org.deeplearning4j.rl4j.network.ac.ActorCriticCompGraph
 
load(String, String) - Static method in class org.deeplearning4j.rl4j.network.ac.ActorCriticSeparate
 
load(String) - Static method in class org.deeplearning4j.rl4j.network.dqn.DQN
 
load(String) - Static method in class org.deeplearning4j.rl4j.policy.ACPolicy
 
load(String, Random) - Static method in class org.deeplearning4j.rl4j.policy.ACPolicy
 
load(String, String) - Static method in class org.deeplearning4j.rl4j.policy.ACPolicy
 
load(String, String, Random) - Static method in class org.deeplearning4j.rl4j.policy.ACPolicy
 
load(String) - Static method in class org.deeplearning4j.rl4j.policy.DQNPolicy
 
load(File, Class<C>) - Static method in class org.deeplearning4j.rl4j.util.DataManager
 
load(String, Class<C>) - Static method in class org.deeplearning4j.rl4j.util.DataManager
 
load(InputStream, Class<C>) - Static method in class org.deeplearning4j.rl4j.util.DataManager
 
load(T) - Method in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
 
load(String) - Method in class org.deeplearning4j.spark.iterator.PathSparkDataSetIterator
 
load(PortableDataStream) - Method in class org.deeplearning4j.spark.iterator.PortableDataStreamDataSetIterator
 
load(Source) - Method in interface org.nd4j.api.loader.Loader
 
load(Blob) - Method in interface org.nd4j.jdbc.loader.api.JDBCNDArrayIO
Load an ndarray from a blob
load(Blob) - Method in class org.nd4j.jdbc.loader.impl.BaseLoader
Load an ndarray from a blob
load(InputStream) - Method in interface org.nd4j.linalg.dataset.api.DataSet
Load the contents of the DataSet from the specified InputStream.
load(File) - Method in interface org.nd4j.linalg.dataset.api.DataSet
Load the contents of the DataSet from the specified File.
load(File, File) - Method in class org.nd4j.linalg.dataset.api.iterator.StandardScaler
Deprecated.
Load the given mean and std
load(InputStream) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
Load the contents of this MultiDataSet from the specified stream.
load(File) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
Load the contents of this MultiDataSet from the specified file
load(List<File>, List<File>) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize
Load means and standard deviations from the file system
load(File...) - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler
Load the given min and max
load(File...) - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize
Load the means and standard deviations from the file system
load(File, File) - Static method in class org.nd4j.linalg.dataset.api.preprocessor.stats.DistributionStats
Load distribution statistics from the file system
load(InputStream) - Method in class org.nd4j.linalg.dataset.DataSet
 
load(File) - Method in class org.nd4j.linalg.dataset.DataSet
 
load(InputStream) - Method in class org.nd4j.linalg.dataset.MultiDataSet
 
load(File) - Method in class org.nd4j.linalg.dataset.MultiDataSet
 
load() - Static method in class org.nd4j.linalg.factory.Nd4jBackend
Loads the best available backend.
loadArrayForId(String) - Method in interface org.nd4j.jdbc.loader.api.JDBCNDArrayIO
Loads an array for the given id.
loadArrayForId(String) - Method in class org.nd4j.jdbc.loader.impl.BaseLoader
 
loadCheckpointCG(Checkpoint) - Method in class org.deeplearning4j.optimize.listeners.checkpoint.CheckpointListener
Load a ComputationGraph for the given checkpoint
loadCheckpointCG(int) - Method in class org.deeplearning4j.optimize.listeners.checkpoint.CheckpointListener
Load a ComputationGraph for the given checkpoint
loadCheckpointMLN(Checkpoint) - Method in class org.deeplearning4j.optimize.listeners.checkpoint.CheckpointListener
Load a MultiLayerNetwork for the given checkpoint
loadCheckpointMLN(int) - Method in class org.deeplearning4j.optimize.listeners.checkpoint.CheckpointListener
Load a MultiLayerNetwork for the given checkpoint number
loadCodes(int[]) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
Loads the co-occurrences for the given codes
loadCodes(int[]) - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable
Loads the co-occurrences for the given codes
loadCompressors() - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
 
loadConfig(String) - Method in class vizdoom.DoomGame
 
loadConfigGuess(String) - Static method in class org.deeplearning4j.util.ModelGuesser
Load the model from the given file path
loadConfigGuess(InputStream) - Static method in class org.deeplearning4j.util.ModelGuesser
Load the model from the given input stream
loadData(File, InputStream) - Method in class org.datavec.audio.recordreader.BaseAudioRecordReader
 
loadData(File, InputStream) - Method in class org.datavec.audio.recordreader.NativeAudioRecordReader
 
loadData(File, InputStream) - Method in class org.datavec.audio.recordreader.WavFileRecordReader
 
loadData(File, InputStream) - Method in class org.datavec.codec.reader.BaseCodecRecordReader
 
loadData(File, InputStream) - Method in class org.datavec.codec.reader.CodecRecordReader
 
loadData(File, InputStream) - Method in class org.datavec.codec.reader.NativeCodecRecordReader
 
LoadDataSetFunction - Class in org.deeplearning4j.spark.impl.common
This is a function that is used to load a DataSet object using DataSet.load(InputStream).
LoadDataSetFunction() - Constructor for class org.deeplearning4j.spark.impl.common.LoadDataSetFunction
 
loadDictionaries() - Method in class com.atilika.kuromoji.ipadic.Tokenizer.Builder
 
loadDictionaries() - Method in class com.atilika.kuromoji.TokenizerBase.Builder
 
loadDS - Variable in class org.datavec.image.loader.CifarLoader
 
loadDSIndex - Variable in class org.datavec.image.loader.CifarLoader
 
loader - Variable in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
 
loader - Variable in class org.deeplearning4j.datasets.iterator.loader.DataSetLoaderIterator
 
loader - Variable in class org.deeplearning4j.datasets.iterator.loader.MultiDataSetLoaderIterator
 
Loader<T> - Interface in org.nd4j.api.loader
A simple interface for loading objects from a Source object
loadForID(String) - Method in interface org.nd4j.jdbc.loader.api.JDBCNDArrayIO
Load an ndarray blob given an id
loadForID(String) - Method in class org.nd4j.jdbc.loader.impl.BaseLoader
Load an ndarray blob given an id
loadFromMetaData(RecordMetaData) - Method in class org.datavec.api.records.reader.impl.collection.CollectionRecordReader
 
loadFromMetaData(List<RecordMetaData>) - Method in class org.datavec.api.records.reader.impl.collection.CollectionRecordReader
 
loadFromMetaData(RecordMetaData) - Method in class org.datavec.api.records.reader.impl.collection.CollectionSequenceRecordReader
 
loadFromMetaData(List<RecordMetaData>) - Method in class org.datavec.api.records.reader.impl.collection.CollectionSequenceRecordReader
 
loadFromMetaData(RecordMetaData) - Method in class org.datavec.api.records.reader.impl.collection.ListStringRecordReader
 
loadFromMetaData(List<RecordMetaData>) - Method in class org.datavec.api.records.reader.impl.collection.ListStringRecordReader
 
loadFromMetaData(RecordMetaData) - Method in class org.datavec.api.records.reader.impl.ComposableRecordReader
 
loadFromMetaData(List<RecordMetaData>) - Method in class org.datavec.api.records.reader.impl.ComposableRecordReader
 
loadFromMetaData(RecordMetaData) - Method in class org.datavec.api.records.reader.impl.ConcatenatingRecordReader
 
loadFromMetaData(List<RecordMetaData>) - Method in class org.datavec.api.records.reader.impl.ConcatenatingRecordReader
 
loadFromMetaData(RecordMetaData) - Method in class org.datavec.api.records.reader.impl.csv.CSVNLinesSequenceRecordReader
 
loadFromMetaData(List<RecordMetaData>) - Method in class org.datavec.api.records.reader.impl.csv.CSVNLinesSequenceRecordReader
 
loadFromMetaData(RecordMetaData) - Method in class org.datavec.api.records.reader.impl.csv.CSVRecordReader
 
loadFromMetaData(List<RecordMetaData>) - Method in class org.datavec.api.records.reader.impl.csv.CSVRecordReader
 
loadFromMetaData(RecordMetaData) - Method in class org.datavec.api.records.reader.impl.csv.CSVVariableSlidingWindowRecordReader
 
loadFromMetaData(List<RecordMetaData>) - Method in class org.datavec.api.records.reader.impl.csv.CSVVariableSlidingWindowRecordReader
 
loadFromMetaData(RecordMetaData) - Method in class org.datavec.api.records.reader.impl.FileRecordReader
 
loadFromMetaData(List<RecordMetaData>) - Method in class org.datavec.api.records.reader.impl.FileRecordReader
 
loadFromMetaData(RecordMetaData) - Method in class org.datavec.api.records.reader.impl.inmemory.InMemoryRecordReader
Load a single record from the given RecordMetaData instance
Note: that for data that isn't splittable (i.e., text data that needs to be scanned/split), it is more efficient to load multiple records at once using InMemoryRecordReader.loadFromMetaData(List)
loadFromMetaData(List<RecordMetaData>) - Method in class org.datavec.api.records.reader.impl.inmemory.InMemoryRecordReader
Load multiple records from the given a list of RecordMetaData instances
loadFromMetaData(RecordMetaData) - Method in class org.datavec.api.records.reader.impl.inmemory.InMemorySequenceRecordReader
Load a single record from the given RecordMetaData instance
Note: that for data that isn't splittable (i.e., text data that needs to be scanned/split), it is more efficient to load multiple records at once using InMemorySequenceRecordReader.loadFromMetaData(List)
loadFromMetaData(List<RecordMetaData>) - Method in class org.datavec.api.records.reader.impl.inmemory.InMemorySequenceRecordReader
Load multiple records from the given a list of RecordMetaData instances
loadFromMetaData(RecordMetaData) - Method in class org.datavec.api.records.reader.impl.jackson.JacksonRecordReader
 
loadFromMetaData(List<RecordMetaData>) - Method in class org.datavec.api.records.reader.impl.jackson.JacksonRecordReader
 
loadFromMetaData(RecordMetaData) - Method in class org.datavec.api.records.reader.impl.jdbc.JDBCRecordReader
Record metadata for this reader consist in two elements :
- a parametrized query used to retrieve one item
- a set a values to use to prepare the statement

The parametrized query is passed at construction time and it should fit the main record's reader query.
loadFromMetaData(List<RecordMetaData>) - Method in class org.datavec.api.records.reader.impl.jdbc.JDBCRecordReader
 
loadFromMetaData(RecordMetaData) - Method in class org.datavec.api.records.reader.impl.LineRecordReader
 
loadFromMetaData(List<RecordMetaData>) - Method in class org.datavec.api.records.reader.impl.LineRecordReader
 
loadFromMetaData(RecordMetaData) - Method in class org.datavec.api.records.reader.impl.regex.RegexLineRecordReader
 
loadFromMetaData(List<RecordMetaData>) - Method in class org.datavec.api.records.reader.impl.regex.RegexLineRecordReader
 
loadFromMetaData(RecordMetaData) - Method in class org.datavec.api.records.reader.impl.transform.TransformProcessRecordReader
Load a single record from the given RecordMetaData instance
Note: that for data that isn't splittable (i.e., text data that needs to be scanned/split), it is more efficient to load multiple records at once using TransformProcessRecordReader.loadFromMetaData(List)
loadFromMetaData(List<RecordMetaData>) - Method in class org.datavec.api.records.reader.impl.transform.TransformProcessRecordReader
Load multiple records from the given a list of RecordMetaData instances
loadFromMetaData(RecordMetaData) - Method in class org.datavec.api.records.reader.impl.transform.TransformProcessSequenceRecordReader
Load a single record from the given RecordMetaData instance
Note: that for data that isn't splittable (i.e., text data that needs to be scanned/split), it is more efficient to load multiple records at once using TransformProcessSequenceRecordReader.loadFromMetaData(List)
loadFromMetaData(List<RecordMetaData>) - Method in class org.datavec.api.records.reader.impl.transform.TransformProcessSequenceRecordReader
Load multiple records from the given a list of RecordMetaData instances
loadFromMetaData(RecordMetaData) - Method in interface org.datavec.api.records.reader.RecordReader
Load a single record from the given RecordMetaData instance
Note: that for data that isn't splittable (i.e., text data that needs to be scanned/split), it is more efficient to load multiple records at once using RecordReader.loadFromMetaData(List)
loadFromMetaData(List<RecordMetaData>) - Method in interface org.datavec.api.records.reader.RecordReader
Load multiple records from the given a list of RecordMetaData instances
loadFromMetaData(RecordMetaData) - Method in class org.datavec.arrow.recordreader.ArrowRecordReader
 
loadFromMetaData(List<RecordMetaData>) - Method in class org.datavec.arrow.recordreader.ArrowRecordReader
 
loadFromMetaData(RecordMetaData) - Method in class org.datavec.audio.recordreader.BaseAudioRecordReader
 
loadFromMetaData(List<RecordMetaData>) - Method in class org.datavec.audio.recordreader.BaseAudioRecordReader
 
loadFromMetaData(RecordMetaData) - Method in class org.datavec.hadoop.records.reader.mapfile.MapFileRecordReader
 
loadFromMetaData(List<RecordMetaData>) - Method in class org.datavec.hadoop.records.reader.mapfile.MapFileRecordReader
 
loadFromMetaData(RecordMetaData) - Method in class org.datavec.hadoop.records.reader.mapfile.MapFileSequenceRecordReader
 
loadFromMetaData(List<RecordMetaData>) - Method in class org.datavec.hadoop.records.reader.mapfile.MapFileSequenceRecordReader
 
loadFromMetaData(RecordMetaData) - Method in class org.datavec.image.recordreader.BaseImageRecordReader
 
loadFromMetaData(List<RecordMetaData>) - Method in class org.datavec.image.recordreader.BaseImageRecordReader
 
loadFromMetaData(RecordMetaData) - Method in class org.datavec.image.recordreader.VideoRecordReader
 
loadFromMetaData(List<RecordMetaData>) - Method in class org.datavec.image.recordreader.VideoRecordReader
 
loadFromMetaData(RecordMetaData) - Method in class org.datavec.nlp.reader.TfidfRecordReader
 
loadFromMetaData(List<RecordMetaData>) - Method in class org.datavec.nlp.reader.TfidfRecordReader
 
loadFromMetaData(RecordMetaData) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
Load a single example to a DataSet, using the provided RecordMetaData.
loadFromMetaData(List<RecordMetaData>) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
Load a multiple examples to a DataSet, using the provided RecordMetaData instances.
loadFromMetaData(RecordMetaData) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator
Load a single example to a DataSet, using the provided RecordMetaData.
loadFromMetaData(List<RecordMetaData>) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator
Load a multiple sequence examples to a DataSet, using the provided RecordMetaData instances.
loadFromMetaData(RecordMetaData) - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
Load a single sequence example to a DataSet, using the provided RecordMetaData.
loadFromMetaData(List<RecordMetaData>) - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
Load a multiple sequence examples to a DataSet, using the provided RecordMetaData instances.
loadFromMetaData(RecordMetaData) - Method in class org.deeplearning4j.spark.datavec.iterator.SparkSourceDummyReader
 
loadFromMetaData(List<RecordMetaData>) - Method in class org.deeplearning4j.spark.datavec.iterator.SparkSourceDummyReader
 
loadFullModel(String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Deprecated.
Use readWord2VecModel() or loadStaticModel() method instead
loadGraph(String, EdgeLineProcessor<E>, VertexFactory<V>, int, boolean) - Static method in class org.deeplearning4j.graph.data.GraphLoader
Load a graph into memory, using a given EdgeLineProcessor.
loadGraph(String, String, VertexLoader<V>, EdgeLineProcessor<E>, boolean) - Static method in class org.deeplearning4j.graph.data.GraphLoader
Load graph, assuming vertices are in one file and edges are in another file.
loadGraph(String) - Method in class org.nd4j.tensorflow.conversion.TensorflowConversion
Get an initialized tensorflow.TF_Graph based on the passed in file (the file must be a binary protobuf/pb file) The graph will be modified to be associated with the device associated with this current thread.
loadGraph(byte[]) - Method in class org.nd4j.tensorflow.conversion.TensorflowConversion
Get an initialized tensorflow.TF_Graph based on the passed in byte array content (the content must be a binary protobuf/pb file) The graph will be modified to be associated with the device associated with this current thread.
loadIris(int, int) - Static method in class org.deeplearning4j.base.IrisUtils
 
loadLibrary(File) - Static method in class org.nd4j.linalg.factory.Nd4jBackend
Adds the supplied Java Archive library to java.class.path.
loadMissionXML(String) - Static method in class org.deeplearning4j.malmo.MalmoEnv
Convenience method to load a Malmo mission specification from an XML-file
loadModel(String) - Method in class org.ansj.app.crf.model.CRFModel
 
loadModel(InputStream) - Method in class org.ansj.app.crf.model.CRFModel
 
loadModel(String) - Method in class org.ansj.app.crf.model.CRFppTxtModel
解析crf++生成的可可视txt文件
loadModel(InputStream) - Method in class org.ansj.app.crf.model.CRFppTxtModel
 
loadModel(String) - Method in class org.ansj.app.crf.Model
不同的模型实现自己的加载模型类
loadModel(InputStream) - Method in class org.ansj.app.crf.Model
 
loadModel(String) - Method in class org.ansj.app.crf.model.WapitiCRFModel
 
loadModel(InputStream) - Method in class org.ansj.app.crf.model.WapitiCRFModel
 
loadModelGuess(String) - Static method in class org.deeplearning4j.util.ModelGuesser
Load the model from the given file path
loadModelGuess(InputStream) - Static method in class org.deeplearning4j.util.ModelGuesser
Load the model from the given input stream
loadModelGuess(InputStream, File) - Static method in class org.deeplearning4j.util.ModelGuesser
Load the model from the given input stream
loadNormalizer(InputStream) - Static method in class org.deeplearning4j.util.ModelGuesser
loadNormalizer(String) - Static method in class org.deeplearning4j.util.ModelGuesser
loadNpyFromHeader(Pointer) - Method in class org.nd4j.nativeblas.NativeOps
Load numpy from a header based on the cnpy parse from header method.
loadNpyFromHeader(Pointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
Load numpy from a header based on the cnpy parse from header method.
loadNpyFromHeader(Pointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
Load numpy from a header based on the cnpy parse from header method.
loadProviders() - Method in class org.nd4j.parameterserver.distributed.training.TrainerProvider
 
loadSequenceFromMetaData(RecordMetaData) - Method in class org.datavec.api.records.reader.impl.collection.CollectionSequenceRecordReader
 
loadSequenceFromMetaData(List<RecordMetaData>) - Method in class org.datavec.api.records.reader.impl.collection.CollectionSequenceRecordReader
 
loadSequenceFromMetaData(RecordMetaData) - Method in class org.datavec.api.records.reader.impl.csv.CSVLineSequenceRecordReader
 
loadSequenceFromMetaData(List<RecordMetaData>) - Method in class org.datavec.api.records.reader.impl.csv.CSVLineSequenceRecordReader
 
loadSequenceFromMetaData(RecordMetaData) - Method in class org.datavec.api.records.reader.impl.csv.CSVMultiSequenceRecordReader
 
loadSequenceFromMetaData(List<RecordMetaData>) - Method in class org.datavec.api.records.reader.impl.csv.CSVMultiSequenceRecordReader
 
loadSequenceFromMetaData(RecordMetaData) - Method in class org.datavec.api.records.reader.impl.csv.CSVNLinesSequenceRecordReader
 
loadSequenceFromMetaData(List<RecordMetaData>) - Method in class org.datavec.api.records.reader.impl.csv.CSVNLinesSequenceRecordReader
 
loadSequenceFromMetaData(RecordMetaData) - Method in class org.datavec.api.records.reader.impl.csv.CSVSequenceRecordReader
 
loadSequenceFromMetaData(List<RecordMetaData>) - Method in class org.datavec.api.records.reader.impl.csv.CSVSequenceRecordReader
 
loadSequenceFromMetaData(RecordMetaData) - Method in class org.datavec.api.records.reader.impl.csv.CSVVariableSlidingWindowRecordReader
 
loadSequenceFromMetaData(List<RecordMetaData>) - Method in class org.datavec.api.records.reader.impl.csv.CSVVariableSlidingWindowRecordReader
 
loadSequenceFromMetaData(RecordMetaData) - Method in class org.datavec.api.records.reader.impl.inmemory.InMemorySequenceRecordReader
Load a single sequence record from the given RecordMetaData instance
Note: that for data that isn't splittable (i.e., text data that needs to be scanned/split), it is more efficient to load multiple records at once using InMemorySequenceRecordReader.loadSequenceFromMetaData(List)
loadSequenceFromMetaData(List<RecordMetaData>) - Method in class org.datavec.api.records.reader.impl.inmemory.InMemorySequenceRecordReader
Load multiple sequence records from the given a list of RecordMetaData instances
loadSequenceFromMetaData(RecordMetaData) - Method in class org.datavec.api.records.reader.impl.jackson.JacksonLineSequenceRecordReader
 
loadSequenceFromMetaData(List<RecordMetaData>) - Method in class org.datavec.api.records.reader.impl.jackson.JacksonLineSequenceRecordReader
 
loadSequenceFromMetaData(RecordMetaData) - Method in class org.datavec.api.records.reader.impl.regex.RegexSequenceRecordReader
 
loadSequenceFromMetaData(List<RecordMetaData>) - Method in class org.datavec.api.records.reader.impl.regex.RegexSequenceRecordReader
 
loadSequenceFromMetaData(RecordMetaData) - Method in class org.datavec.api.records.reader.impl.transform.TransformProcessSequenceRecordReader
Load a single sequence record from the given RecordMetaData instance
Note: that for data that isn't splittable (i.e., text data that needs to be scanned/split), it is more efficient to load multiple records at once using TransformProcessSequenceRecordReader.loadSequenceFromMetaData(List)
loadSequenceFromMetaData(List<RecordMetaData>) - Method in class org.datavec.api.records.reader.impl.transform.TransformProcessSequenceRecordReader
Load multiple sequence records from the given a list of RecordMetaData instances
loadSequenceFromMetaData(RecordMetaData) - Method in interface org.datavec.api.records.reader.SequenceRecordReader
Load a single sequence record from the given RecordMetaData instance
Note: that for data that isn't splittable (i.e., text data that needs to be scanned/split), it is more efficient to load multiple records at once using SequenceRecordReader.loadSequenceFromMetaData(List)
loadSequenceFromMetaData(List<RecordMetaData>) - Method in interface org.datavec.api.records.reader.SequenceRecordReader
Load multiple sequence records from the given a list of RecordMetaData instances
loadSequenceFromMetaData(RecordMetaData) - Method in class org.datavec.codec.reader.BaseCodecRecordReader
 
loadSequenceFromMetaData(List<RecordMetaData>) - Method in class org.datavec.codec.reader.BaseCodecRecordReader
 
loadSequenceFromMetaData(RecordMetaData) - Method in class org.datavec.hadoop.records.reader.mapfile.MapFileSequenceRecordReader
 
loadSequenceFromMetaData(List<RecordMetaData>) - Method in class org.datavec.hadoop.records.reader.mapfile.MapFileSequenceRecordReader
 
loadSequenceFromMetaData(RecordMetaData) - Method in class org.datavec.image.recordreader.VideoRecordReader
 
loadSequenceFromMetaData(List<RecordMetaData>) - Method in class org.datavec.image.recordreader.VideoRecordReader
 
loadSequenceFromMetaData(RecordMetaData) - Method in class org.deeplearning4j.spark.datavec.iterator.SparkSourceDummySeqReader
 
loadSequenceFromMetaData(List<RecordMetaData>) - Method in class org.deeplearning4j.spark.datavec.iterator.SparkSourceDummySeqReader
 
loadSingleSentence(String) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
Generally used post training time to load a single sentence for predictions
loadStatement() - Method in class org.nd4j.jdbc.hsql.HsqlLoader
Create an insert statement.
loadStatement() - Method in interface org.nd4j.jdbc.loader.api.JDBCNDArrayIO
Create an insert statement
loadStatement() - Method in class org.nd4j.jdbc.mysql.MysqlLoader
Create an insert statement.
loadStaticModel(File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method restores previously saved w2v model.
loadTxt(File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Loads an in memory cache from the given path (sets syn0 and the vocab)
loadTxtVectors(File) - Static method in class org.deeplearning4j.graph.models.loader.GraphVectorSerializer
 
loadTxtVectors(File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Deprecated.
loadTxtVectors(InputStream, boolean) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Deprecated.
Use readWord2VecModel() or loadStaticModel() method instead
loadUndirectedGraphEdgeListFile(String, int, String) - Static method in class org.deeplearning4j.graph.data.GraphLoader
Simple method for loading an undirected graph, where the graph is represented by a edge list with one edge per line with a delimiter in between
This method assumes that all lines in the file are of the form i<delim>j where i and j are integers in range 0 to numVertices inclusive, and "" is the user-provided delimiter Note: this method calls GraphLoader.loadUndirectedGraphEdgeListFile(String, int, String, boolean) with allowMultipleEdges = true.
loadUndirectedGraphEdgeListFile(String, int, String, boolean) - Static method in class org.deeplearning4j.graph.data.GraphLoader
Simple method for loading an undirected graph, where the graph is represented by a edge list with one edge per line with a delimiter in between
This method assumes that all lines in the file are of the form i<delim>j where i and j are integers in range 0 to numVertices inclusive, and "" is the user-provided delimiter
loadVertices(String) - Method in class org.deeplearning4j.graph.data.impl.DelimitedVertexLoader
 
loadVertices(String) - Method in interface org.deeplearning4j.graph.data.VertexLoader
 
loadVocab() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Deserialize vocabulary from specified path
loadVocab() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
loadVocab() - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Load vocab
loadWeightedEdgeListFile(String, int, String, boolean, String...) - Static method in class org.deeplearning4j.graph.data.GraphLoader
Method for loading a weighted graph from an edge list file, where each edge (inc.
loadWeightedEdgeListFile(String, int, String, boolean, boolean, String...) - Static method in class org.deeplearning4j.graph.data.GraphLoader
Method for loading a weighted graph from an edge list file, where each edge (inc.
LOCAL_DIR_NAME - Static variable in class org.deeplearning4j.base.MnistFetcher
 
localCacheName() - Method in class org.deeplearning4j.datasets.fetchers.SvhnDataFetcher
 
localCacheName() - Method in class org.deeplearning4j.datasets.fetchers.TinyImageNetFetcher
 
localCacheName() - Method in class org.deeplearning4j.datasets.fetchers.UciSequenceDataFetcher
 
localDir - Variable in class org.datavec.image.loader.LFWLoader
 
LocalFileGraphSaver - Class in org.deeplearning4j.earlystopping.saver
Save the best (and latest/most recent) ComputationGraphs learned during early stopping training to the local file system.
Instances of this class will save 3 files for best (and optionally, latest) models:
(a) The network configuration: bestGraphConf.json
(b) The network parameters: bestGraphParams.bin
(c) The network updater: bestGraphUpdater.bin

NOTE: The model updater is an object that contains the internal state for training features such as AdaGrad, Momentum and RMSProp.
The updater is not required to use the network at test time; it is saved in case further training is required.
LocalFileGraphSaver(String) - Constructor for class org.deeplearning4j.earlystopping.saver.LocalFileGraphSaver
Constructor that uses default character set for configuration (json) encoding
LocalFileGraphSaver(String, Charset) - Constructor for class org.deeplearning4j.earlystopping.saver.LocalFileGraphSaver
 
LocalFileModelSaver - Class in org.deeplearning4j.earlystopping.saver
Save the best (and latest/most recent) models learned during early stopping training to the local file system.
Instances of this class will save 3 files for best (and optionally, latest) models:
(a) The network configuration: bestModelConf.json
(b) The network parameters: bestModelParams.bin
(c) The network updater: bestModelUpdater.bin

NOTE: The model updater is an object that contains the internal state for training features such as AdaGrad, Momentum and RMSProp.
The updater is not required to use the network at test time; it is saved in case further training is required.
LocalFileModelSaver(String) - Constructor for class org.deeplearning4j.earlystopping.saver.LocalFileModelSaver
Constructor that uses default character set for configuration (json) encoding
LocalFileModelSaver(String, Charset) - Constructor for class org.deeplearning4j.earlystopping.saver.LocalFileModelSaver
 
LocalFileNetResultReference - Class in org.deeplearning4j.arbiter.saver.local
Result reference for MultiLayerNetworks and ComputationGraphs saved to local file system
LocalFileNetResultReference() - Constructor for class org.deeplearning4j.arbiter.saver.local.LocalFileNetResultReference
 
LocalFileSource - Class in org.nd4j.api.loader
A simple Source that returns a (buffered) FileInputStream for the specified file path
LocalFileSource() - Constructor for class org.nd4j.api.loader.LocalFileSource
 
LocalFileSourceFactory - Class in org.nd4j.api.loader
 
LocalFileSourceFactory() - Constructor for class org.nd4j.api.loader.LocalFileSourceFactory
 
LocalFilterFunction - Class in org.datavec.local.transforms.transform.filter
Function for executing filter operations
LocalFilterFunction() - Constructor for class org.datavec.local.transforms.transform.filter.LocalFilterFunction
 
LocalGroupToSequenceFunction - Class in org.datavec.local.transforms.sequence
Function for grouping independent values/examples into a sequence, and then sorting them using a provided SequenceComparator
LocalGroupToSequenceFunction() - Constructor for class org.datavec.local.transforms.sequence.LocalGroupToSequenceFunction
 
LocalHandler - Class in org.deeplearning4j.optimize.solvers.accumulation
MessageHandler implementation suited for ParallelWrapper running on single box PLEASE NOTE: This handler does NOT provide any network connectivity.
LocalHandler() - Constructor for class org.deeplearning4j.optimize.solvers.accumulation.LocalHandler
 
localIp - Variable in class org.deeplearning4j.spark.parameterserver.networking.messages.SilentIntroductoryMessage
 
LOCALITY_FIELD_NUMBER - Static variable in class org.tensorflow.framework.DeviceAttributes
 
LocallyConnected1D - Class in org.deeplearning4j.nn.conf.layers
 
LocallyConnected1D(LocallyConnected1D.Builder) - Constructor for class org.deeplearning4j.nn.conf.layers.LocallyConnected1D
 
LocallyConnected1D.Builder - Class in org.deeplearning4j.nn.conf.layers
 
LocallyConnected2D - Class in org.deeplearning4j.nn.conf.layers
 
LocallyConnected2D(LocallyConnected2D.Builder) - Constructor for class org.deeplearning4j.nn.conf.layers.LocallyConnected2D
 
LocallyConnected2D.Builder - Class in org.deeplearning4j.nn.conf.layers
 
LocalMapToPairByColumnFunction - Class in org.datavec.local.transforms.sequence
Function to map a n example to a pair, by using one of the columns as the key.
LocalMapToPairByColumnFunction() - Constructor for class org.datavec.local.transforms.sequence.LocalMapToPairByColumnFunction
 
LocalMapToPairByMultipleColumnsFunction - Class in org.datavec.local.transforms.sequence
Function to map an example to a pair, by using some of the column values as the key.
LocalMapToPairByMultipleColumnsFunction() - Constructor for class org.datavec.local.transforms.sequence.LocalMapToPairByMultipleColumnsFunction
 
LocalOptimizationRunner - Class in org.deeplearning4j.arbiter.optimize.runner
LocalOptimizationRunner: execute hyperparameter optimization locally (on current machine, in current JVM).
LocalOptimizationRunner(OptimizationConfiguration) - Constructor for class org.deeplearning4j.arbiter.optimize.runner.LocalOptimizationRunner
 
LocalOptimizationRunner(OptimizationConfiguration, TaskCreator) - Constructor for class org.deeplearning4j.arbiter.optimize.runner.LocalOptimizationRunner
 
LocalOptimizationRunner(int, OptimizationConfiguration) - Constructor for class org.deeplearning4j.arbiter.optimize.runner.LocalOptimizationRunner
 
LocalOptimizationRunner(int, OptimizationConfiguration, TaskCreator) - Constructor for class org.deeplearning4j.arbiter.optimize.runner.LocalOptimizationRunner
 
LocalResponseNormalization - Class in org.deeplearning4j.nn.conf.layers
Created by nyghtowl on 10/29/15.
LocalResponseNormalization - Class in org.deeplearning4j.nn.layers.normalization
Deep neural net normalization approach normalizes activations between layers "brightness normalization" Used for nets like AlexNet
LocalResponseNormalization(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.normalization.LocalResponseNormalization
 
LocalResponseNormalization(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.normalization.LocalResponseNormalization
 
localResponseNormalization(SDVariable, LocalResponseNormalizationConfig) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
Local response normalization operation.
localResponseNormalization(SDVariable, LocalResponseNormalizationConfig) - Method in class org.nd4j.autodiff.samediff.SameDiff
2D convolution layer operation - local response normalization
localResponseNormalization(String, SDVariable, LocalResponseNormalizationConfig) - Method in class org.nd4j.autodiff.samediff.SameDiff
2D convolution layer operation - local response normalization
LocalResponseNormalization - Class in org.nd4j.linalg.api.ops.impl.layers.convolution
LocalResponseNormalization operation
LocalResponseNormalization(SameDiff, SDVariable[], INDArray[], INDArray[], boolean, LocalResponseNormalizationConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.LocalResponseNormalization
 
LocalResponseNormalization.Builder - Class in org.deeplearning4j.nn.conf.layers
 
LocalResponseNormalizationConfig - Class in org.nd4j.linalg.api.ops.impl.layers.convolution.config
 
LocalResponseNormalizationConfig() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.config.LocalResponseNormalizationConfig
 
LocalResponseNormalizationDerivative - Class in org.nd4j.linalg.api.ops.impl.layers.convolution
LocalResponseNormalizationDerivative operation
LocalResponseNormalizationDerivative(SameDiff, SDVariable[], INDArray[], INDArray[], boolean, LocalResponseNormalizationConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.LocalResponseNormalizationDerivative
 
LocalResponseNormalizationDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.LocalResponseNormalizationDerivative
 
LocalResponseNormalizationHelper - Interface in org.deeplearning4j.nn.layers.normalization
Helper for the local response normalization layer.
LocalResponseNormalizationLayerSpace - Class in org.deeplearning4j.arbiter.layers
 
LocalResponseNormalizationLayerSpace.Builder - Class in org.deeplearning4j.arbiter.layers
 
LocalSequenceFilterFunction - Class in org.datavec.local.transforms.sequence
Created by Alex on 5/03/2016.
LocalSequenceFilterFunction() - Constructor for class org.datavec.local.transforms.sequence.LocalSequenceFilterFunction
 
LocalSequenceTransformFunction - Class in org.datavec.local.transforms.sequence
Function for transforming sequences using a Transform
LocalSequenceTransformFunction() - Constructor for class org.datavec.local.transforms.sequence.LocalSequenceTransformFunction
 
localSubDir - Variable in class org.datavec.image.loader.LFWLoader
 
LocalTransformExecutor - Class in org.datavec.local.transforms
Local transform executor
LocalTransformExecutor() - Constructor for class org.datavec.local.transforms.LocalTransformExecutor
 
LocalTransformFunction - Class in org.datavec.local.transforms.transform
Created by Alex on 5/03/2016.
LocalTransformFunction() - Constructor for class org.datavec.local.transforms.transform.LocalTransformFunction
 
LocalTransformProcessFunction - Class in org.datavec.local.transforms.transform
Function for executing a transform process
LocalTransformProcessFunction(TransformProcess) - Constructor for class org.datavec.local.transforms.transform.LocalTransformProcessFunction
 
LocalTransformProcessFunctionAdapter - Class in org.datavec.local.transforms.transform
Function for executing a transform process
LocalTransformProcessFunctionAdapter(TransformProcess) - Constructor for class org.datavec.local.transforms.transform.LocalTransformProcessFunctionAdapter
 
LocalTransformProcessRecordReader - Class in org.datavec.local.transforms
A wrapper around the TransformProcessRecordReader that uses the LocalTransformExecutor instead of the TransformProcess methods.
LocalTransformProcessRecordReader(RecordReader, TransformProcess) - Constructor for class org.datavec.local.transforms.LocalTransformProcessRecordReader
Initialize with the internal record reader and the transform process.
LocalTransformProcessSequenceRecordReader - Class in org.datavec.local.transforms
 
LocalTransformProcessSequenceRecordReader(SequenceRecordReader, TransformProcess) - Constructor for class org.datavec.local.transforms.LocalTransformProcessSequenceRecordReader
 
LocalTransport - Class in org.nd4j.parameterserver.distributed.transport
Deprecated.
LocalTransport() - Constructor for class org.nd4j.parameterserver.distributed.transport.LocalTransport
Deprecated.
 
LocationPolicy - Enum in org.nd4j.linalg.api.memory.enums
This enum describes where workspace memory is located
locations - Variable in class org.datavec.api.records.reader.impl.LineRecordReader
 
locations() - Method in class org.datavec.api.split.BaseInputSplit
 
locations() - Method in interface org.datavec.api.split.InputSplit
Locations of the splits
locations() - Method in class org.datavec.api.split.InputStreamInputSplit
 
locations() - Method in class org.datavec.api.split.ListStringSplit
Locations of the splits
locations() - Method in class org.datavec.api.split.NumberedFileInputSplit
 
locations() - Method in class org.datavec.api.split.OutputStreamInputSplit
 
locations() - Method in class org.datavec.api.split.StringSplit
 
locationsIterator - Variable in class org.datavec.api.records.reader.impl.FileRecordReader
 
locationsIterator() - Method in class org.datavec.api.split.BaseInputSplit
 
locationsIterator() - Method in interface org.datavec.api.split.InputSplit
 
locationsIterator() - Method in class org.datavec.api.split.InputStreamInputSplit
 
locationsIterator() - Method in class org.datavec.api.split.ListStringSplit
 
locationsIterator() - Method in class org.datavec.api.split.NumberedFileInputSplit
 
locationsIterator() - Method in class org.datavec.api.split.OutputStreamInputSplit
 
locationsIterator() - Method in class org.datavec.api.split.StringSplit
 
locationsPathIterator() - Method in class org.datavec.api.split.BaseInputSplit
 
locationsPathIterator() - Method in interface org.datavec.api.split.InputSplit
 
locationsPathIterator() - Method in class org.datavec.api.split.InputStreamInputSplit
 
locationsPathIterator() - Method in class org.datavec.api.split.ListStringSplit
 
locationsPathIterator() - Method in class org.datavec.api.split.NumberedFileInputSplit
 
locationsPathIterator() - Method in class org.datavec.api.split.OutputStreamInputSplit
 
locationsPathIterator() - Method in class org.datavec.api.split.StringSplit
 
LocationType - Enum in org.datavec.api.transform.geo
The type of geolocation.
locationType - Variable in class org.datavec.api.transform.transform.geo.IPAddressToLocationTransform
 
lock - Variable in class org.deeplearning4j.models.glove.AbstractCoOccurrences
 
lock - Variable in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
Lock - Interface in org.nd4j.jita.allocator.concurrency
Collection of multilevel locks for JITA
lock - Variable in class org.nd4j.jita.allocator.context.impl.BasicContextPool
 
lock - Variable in class org.nd4j.jita.allocator.time.impl.SimpleTimer
 
lock - Variable in class org.nd4j.jita.constant.ProtectedCudaConstantHandler
 
lock - Variable in class org.nd4j.linalg.primitives.SynchronizedObject
 
lock - Variable in class org.nd4j.linalg.util.AtomicThrowable
 
LockedRing - Class in org.nd4j.jita.allocator.time.rings
 
LockedRing(int) - Constructor for class org.nd4j.jita.allocator.time.rings.LockedRing
Builds new BasicRing with specified number of elements stored
lockGammaBeta - Variable in class org.deeplearning4j.arbiter.layers.BatchNormalizationSpace.Builder
 
lockGammaBeta(boolean) - Method in class org.deeplearning4j.arbiter.layers.BatchNormalizationSpace.Builder
 
lockGammaBeta(ParameterSpace<Boolean>) - Method in class org.deeplearning4j.arbiter.layers.BatchNormalizationSpace.Builder
 
lockGammaBeta - Variable in class org.deeplearning4j.arbiter.layers.BatchNormalizationSpace
 
lockGammaBeta - Variable in class org.deeplearning4j.nn.conf.layers.BatchNormalization.Builder
 
lockGammaBeta(boolean) - Method in class org.deeplearning4j.nn.conf.layers.BatchNormalization.Builder
If set to true: lock the gamma and beta parameters to the values for each activation, specified by BatchNormalization.Builder.gamma(double) and BatchNormalization.Builder.beta(double).
lockGammaBeta - Variable in class org.deeplearning4j.nn.conf.layers.BatchNormalization
 
locks - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
log - Static variable in class com.atilika.kuromoji.util.FileResourceResolver
 
LOG - Static variable in class org.ansj.util.MyStaticValue
 
LOG - Static variable in class org.datavec.api.records.reader.impl.regex.RegexSequenceRecordReader
 
log - Static variable in class org.datavec.api.transform.transform.geo.GeoIPFetcher
 
log - Static variable in class org.datavec.image.loader.BaseImageLoader
 
log - Static variable in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
 
log - Static variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors
 
log - Static variable in class org.deeplearning4j.models.sequencevectors.serialization.AbstractElementFactory
 
log - Static variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer
 
log - Static variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer
 
log - Static variable in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor
 
log - Static variable in class org.deeplearning4j.nn.layers.convolution.ConvolutionLayer
 
log - Static variable in class org.deeplearning4j.nn.layers.normalization.LocalResponseNormalization
 
log - Static variable in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
log - Static variable in class org.deeplearning4j.text.sentenceiterator.interoperability.SentenceIteratorConverter
 
log - Static variable in class org.deeplearning4j.text.sentenceiterator.PrefetchingSentenceIterator
Deprecated.
 
log - Static variable in class org.deeplearning4j.text.tokenization.tokenizer.DefaultStreamTokenizer
 
log(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
log(SDVariable, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
log(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Element-wise logarithm function (base e - natural logarithm): out = log(x)
log(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Element-wise logarithm function (base e - natural logarithm): out = log(x)
log(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.SameDiff
Element-wise logarithm function (with specified base): out = log_{base}(x)
log(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.SameDiff
Element-wise logarithm function (with specified base): out = log_{base}(x)
log(INDArray, String) - Method in class org.nd4j.linalg.api.instrumentation.InMemoryInstrumentation
 
log(DataBuffer, String) - Method in class org.nd4j.linalg.api.instrumentation.InMemoryInstrumentation
 
log(INDArray) - Method in class org.nd4j.linalg.api.instrumentation.InMemoryInstrumentation
 
log(DataBuffer) - Method in class org.nd4j.linalg.api.instrumentation.InMemoryInstrumentation
 
log(INDArray, String) - Method in interface org.nd4j.linalg.api.instrumentation.Instrumentation
Log the given ndarray
log(DataBuffer, String) - Method in interface org.nd4j.linalg.api.instrumentation.Instrumentation
Data buffer to log
log(INDArray) - Method in interface org.nd4j.linalg.api.instrumentation.Instrumentation
Log the given ndarray
log(DataBuffer) - Method in interface org.nd4j.linalg.api.instrumentation.Instrumentation
Data buffer to log
Log - Class in org.nd4j.linalg.api.ops.impl.transforms
Log elementwise function
Log(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Log
 
Log(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Log
 
Log(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Log
 
Log() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Log
 
Log(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Log
 
Log(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Log
 
Log(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Log
 
Log(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Log
 
log - Static variable in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher
 
log(INDArray, double) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
Log on arbitrary base
log(INDArray, double, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
Log on arbitrary base
log(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
 
log(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
Log function
log1p(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
log1p(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Elementwise natural logarithm function: out = log_e (1 + x)
log1p(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Elementwise natural logarithm function: out = log_e (1 + x)
Log1p - Class in org.nd4j.linalg.api.ops.impl.transforms
Log1p function
Log1p(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Log1p
 
Log1p(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Log1p
 
Log1p(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Log1p
 
Log1p() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Log1p
 
Log1p(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Log1p
 
Log1p(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Log1p
 
Log1p(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Log1p
 
Log1p(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Log1p
 
log1p(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
Log of x + 1 function
log2 - Static variable in class org.datavec.api.transform.transform.doubletransform.Log2Normalizer
 
log2 - Static variable in class org.deeplearning4j.clustering.util.MathUtils
The natural logarithm of 2.
log2(double) - Static method in class org.deeplearning4j.clustering.util.MathUtils
Returns the logarithm of a for base 2.
log2 - Static variable in class org.nd4j.linalg.util.MathUtils
The natural logarithm of 2.
log2(double) - Static method in class org.nd4j.linalg.util.MathUtils
Returns the logarithm of a for base 2.
Log2Normalizer - Class in org.datavec.api.transform.transform.doubletransform
Normalize by taking scale * log2((in-columnMin)/(mean-columnMin) + 1) Maps values in range (columnMin to infinity) to (0 to infinity) Most suitable for values with a geometric/negative exponential type distribution.
Log2Normalizer(String, double, double, double) - Constructor for class org.datavec.api.transform.transform.doubletransform.Log2Normalizer
 
LOG_ERROR_PROPERTY - Static variable in class org.datavec.local.transforms.LocalTransformExecutor
 
LOG_ERROR_PROPERTY - Static variable in class org.datavec.spark.transform.SparkTransformExecutor
 
LOG_INIT_ENV_PROPERTY - Static variable in class org.nd4j.linalg.factory.Nd4j
LOG_INITIALIZATION - Static variable in class org.nd4j.config.ND4JSystemProperties
Applicability: Always
Description: By default, ND4J will log some information when the library has completed initialization, such as the backend (CPU or CUDA), CPU/Devices, memory etc.
logAggregateStartTime() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper
 
logAggregationEndTime() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper
 
logBinomialProbability(int, int, double, double) - Static method in class org.nd4j.linalg.api.rng.distribution.impl.SaddlePointExpansion
Compute the logarithm of the PMF for a binomial distribution using the saddle point expansion.
logBroadcastEnd() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper
 
logBroadcastGetValueEnd() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingWorkerStats.ParameterAveragingTrainingWorkerStatsHelper
 
logBroadcastGetValueStart() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingWorkerStats.ParameterAveragingTrainingWorkerStatsHelper
 
logBroadcastStart() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper
 
logCountEnd() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper
 
logCountStart() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper
 
logCoverageInformation(boolean, boolean, boolean) - Static method in class org.nd4j.autodiff.validation.OpValidation
Log the coverage information
logEntropy(SDVariable, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
logEntropy(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Log entropy reduction: log(-sum(x * log(x)))
logEntropy(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Log entropy reduction: log(-sum(x * log(x)))
logEntropy(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Returns log entropy along dimension
logEntropy(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
Returns log entropy along dimension
logEntropy(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Returns entropy value for this INDArray along specified dimension(s)
LogEntropy - Class in org.nd4j.linalg.api.ops.impl.accum
Log Entropy Op - returns the log entropy (information gain, or uncertainty of a random variable).
LogEntropy(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.LogEntropy
 
LogEntropy() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.LogEntropy
 
LogEntropy(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.LogEntropy
 
LogEntropy(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.LogEntropy
 
LogEntropy(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.LogEntropy
 
LogEntropy(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.LogEntropy
 
LogEntropy(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.LogEntropy
 
logEntropyNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Returns log entropy value for this INDArray
logEntropyNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
Returns log entropy value for this INDArray
logEntropyNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Returns log entropy value for this INDArray
LogEntry - Class in org.nd4j.linalg.api.instrumentation
Log entry for statistics about ndarrays
LogEntry() - Constructor for class org.nd4j.linalg.api.instrumentation.LogEntry
 
LogEntry(INDArray, String) - Constructor for class org.nd4j.linalg.api.instrumentation.LogEntry
 
LogEntry(INDArray, StackTraceElement[], String) - Constructor for class org.nd4j.linalg.api.instrumentation.LogEntry
 
LogEntry(INDArray, StackTraceElement[]) - Constructor for class org.nd4j.linalg.api.instrumentation.LogEntry
 
LogEntry(INDArray) - Constructor for class org.nd4j.linalg.api.instrumentation.LogEntry
 
logExportEnd() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper
 
logExportStart() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper
 
logFitEnd(int) - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper
 
logFitEnd(int) - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingWorkerStats.ParameterAveragingTrainingWorkerStatsHelper
 
logFitStart() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper
 
logFitStart() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingWorkerStats.ParameterAveragingTrainingWorkerStatsHelper
 
logger - Static variable in class org.ansj.app.crf.Model
 
logger - Static variable in class org.ansj.recognition.arrimpl.UserDefineRecognition
 
logger - Static variable in class org.deeplearning4j.models.glove.AbstractCoOccurrences
 
logger - Static variable in class org.deeplearning4j.models.glove.count.BinaryCoOccurrenceReader
 
logger - Static variable in class org.deeplearning4j.models.sequencevectors.listeners.ScoreListener
Deprecated.
 
logger - Static variable in class org.deeplearning4j.models.sequencevectors.listeners.SimilarityListener
 
logger - Static variable in class org.deeplearning4j.plot.Tsne
 
logger - Variable in class org.deeplearning4j.text.sentenceiterator.StreamLineIterator
 
LoggingStatusListener - Class in org.deeplearning4j.arbiter.optimize.runner.listener.impl
Created by Alex on 20/07/2017.
LoggingStatusListener() - Constructor for class org.deeplearning4j.arbiter.optimize.runner.listener.impl.LoggingStatusListener
 
LOGIC - Static variable in class org.nd4j.graph.OpType
 
logInitEnd() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingWorkerStats.ParameterAveragingTrainingWorkerStatsHelper
 
logInitialModelAfter() - Method in class org.deeplearning4j.spark.api.stats.StatsCalculationHelper
 
logInitialModelBefore() - Method in class org.deeplearning4j.spark.api.stats.StatsCalculationHelper
 
LogInspector - Class in org.nd4j.aeron.util
Command line utility for inspecting a log buffer to see what terms and messages it contains.
LogInspector() - Constructor for class org.nd4j.aeron.util.LogInspector
 
logLabelCountOnInit - Variable in class org.datavec.image.recordreader.BaseImageRecordReader
 
logMapPartitionsEnd(int) - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper
 
logMapPartitionsStart() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper
 
LogMemoryProtos - Class in org.tensorflow.framework
 
logMethodStartTime() - Method in class org.deeplearning4j.spark.api.stats.StatsCalculationHelper
 
logMinibatchesPerWorker - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
logNextDataSetAfter(int) - Method in class org.deeplearning4j.spark.api.stats.StatsCalculationHelper
 
logNextDataSetBefore() - Method in class org.deeplearning4j.spark.api.stats.StatsCalculationHelper
 
LogNormalDistribution - Class in org.deeplearning4j.nn.conf.distribution
A log-normal distribution.
LogNormalDistribution(double, double) - Constructor for class org.deeplearning4j.nn.conf.distribution.LogNormalDistribution
Create a log-normal distribution with the given mean and std
LogNormalDistribution - Class in org.nd4j.linalg.api.ops.random.impl
This Op generates log-normal distribution over provided mean and stddev
LogNormalDistribution() - Constructor for class org.nd4j.linalg.api.ops.random.impl.LogNormalDistribution
 
LogNormalDistribution(SameDiff, double, double, long...) - Constructor for class org.nd4j.linalg.api.ops.random.impl.LogNormalDistribution
 
LogNormalDistribution(INDArray, double, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.LogNormalDistribution
This op fills Z with random values within stddev..mean..stddev boundaries
LogNormalDistribution(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.LogNormalDistribution
 
LogNormalDistribution(INDArray) - Constructor for class org.nd4j.linalg.api.ops.random.impl.LogNormalDistribution
This op fills Z with random values within -1.0..0..1.0
LogNormalDistribution(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.LogNormalDistribution
This op fills Z with random values within stddev..0..stddev
LogNormalDistribution - Class in org.nd4j.linalg.api.rng.distribution.impl
Log-Normal Distribution
LogNormalDistribution(Random, double, INDArray) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution
 
LogNormalDistribution(double, INDArray) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution
 
LogNormalDistribution() - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution
Create a normal distribution with mean equal to zero and standard deviation equal to one.
LogNormalDistribution(double, double) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution
Create a normal distribution using the given mean and standard deviation.
LogNormalDistribution(Random, double, double) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution
 
LogNormalDistribution(double, double, double) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution
Create a normal distribution using the given mean, standard deviation and inverse cumulative distribution accuracy.
LogNormalDistribution(Random, double, double, double) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution
Creates a normal distribution.
LogNormalDistribution(INDArray, double) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution
 
logProb - Variable in class org.deeplearning4j.earlystopping.scorecalc.VAEReconProbScoreCalculator
 
logProcessMinibatchAfter() - Method in class org.deeplearning4j.spark.api.stats.StatsCalculationHelper
 
logProcessMinibatchBefore() - Method in class org.deeplearning4j.spark.api.stats.StatsCalculationHelper
 
logProcessParamsUpdaterEnd() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper
 
logProcessParamsUpdaterStart() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper
 
LogRecordListener - Class in org.datavec.api.records.listener.impl
A record listener that logs every record to be read or written.
LogRecordListener() - Constructor for class org.datavec.api.records.listener.impl.LogRecordListener
 
logRepartitionEnd() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper
 
logRepartitionStart() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper
 
logReturnTime() - Method in class org.deeplearning4j.spark.api.stats.StatsCalculationHelper
 
logs2probs(double[]) - Static method in class org.deeplearning4j.clustering.util.MathUtils
Converts an array containing the natural logarithms of probabilities stored in a vector back into probabilities.
logs2probs(double[]) - Static method in class org.nd4j.linalg.util.MathUtils
Converts an array containing the natural logarithms of probabilities stored in a vector back into probabilities.
logSaving(boolean) - Method in class org.deeplearning4j.optimize.listeners.checkpoint.CheckpointListener.Builder
If true (the default) log a message every time a model is saved
logSigmoid(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
logSigmoid(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Element-wise sigmoid function: out[i] = log(sigmoid(in[i]))
logSigmoid(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Element-wise sigmoid function: out[i] = log(sigmoid(in[i]))
LogSigmoid - Class in org.nd4j.linalg.api.ops.impl.transforms
LogSigmoid function
LogSigmoid(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LogSigmoid
 
LogSigmoid(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LogSigmoid
 
LogSigmoid(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LogSigmoid
 
LogSigmoid() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LogSigmoid
 
LogSigmoid(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LogSigmoid
 
LogSigmoid(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LogSigmoid
 
LogSigmoid(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LogSigmoid
 
LogSigmoid(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LogSigmoid
 
LogSigmoid(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LogSigmoid
 
logSigmoidDerivative(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
LogSigmoidDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms
LogSigmoid derivative
LogSigmoidDerivative(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LogSigmoidDerivative
 
LogSigmoidDerivative(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LogSigmoidDerivative
 
LogSigmoidDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LogSigmoidDerivative
 
LogSigmoidDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LogSigmoidDerivative
 
LogSigmoidDerivative(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LogSigmoidDerivative
 
LogSigmoidDerivative(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LogSigmoidDerivative
 
LogSigmoidDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LogSigmoidDerivative
 
logSoftmax(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
logSoftmax(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Log softmax activation
logSoftmax(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Log softmax activation
LogSoftMax - Class in org.nd4j.linalg.api.ops.impl.transforms
Log(softmax(X))
LogSoftMax(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LogSoftMax
 
LogSoftMax(SameDiff, SDVariable, long[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LogSoftMax
 
LogSoftMax(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LogSoftMax
 
LogSoftMax() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LogSoftMax
 
LogSoftMax(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LogSoftMax
 
LogSoftMax(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LogSoftMax
 
LogSoftMax(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LogSoftMax
 
LogSoftMax(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LogSoftMax
 
LogSoftMax(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LogSoftMax
 
logSoftmaxDerivative(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
LogSoftMaxDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient
 
LogSoftMaxDerivative(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.LogSoftMaxDerivative
 
LogSoftMaxDerivative(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.LogSoftMaxDerivative
 
LogSoftMaxDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.LogSoftMaxDerivative
 
LogSoftMaxDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.LogSoftMaxDerivative
 
LogSoftMaxDerivative(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.LogSoftMaxDerivative
 
LogSoftMaxDerivative(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.LogSoftMaxDerivative
 
LogSoftMaxDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.LogSoftMaxDerivative
 
LogSoftMaxDerivative(INDArray, INDArray, INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.LogSoftMaxDerivative
 
logSplitEnd() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper
 
logSplitStart() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper
 
logSumExp(SDVariable, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
logSumExp(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Log-sum-exp reduction (optionally along dimension).
logSumExp(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Log-sum-exp reduction (optionally along dimension).
LogSumExp - Class in org.nd4j.linalg.api.ops.impl.accum
LogSumExp - this op returns https://en.wikipedia.org/wiki/LogSumExp
LogSumExp(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.LogSumExp
 
LogSumExp(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.LogSumExp
 
LogSumExp() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.LogSumExp
 
LogSumExp(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.LogSumExp
 
LogSumExp(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.LogSumExp
 
LogSumExp(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.LogSumExp
 
LogSumExp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.LogSumExp
 
LogSumExp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.LogSumExp
 
logTestMode(boolean) - Method in class org.deeplearning4j.nn.layers.FrozenLayer
 
logTestMode(Layer.TrainingMode) - Method in class org.deeplearning4j.nn.layers.FrozenLayer
 
logTestMode(boolean) - Method in class org.deeplearning4j.nn.layers.FrozenLayerWithBackprop
 
logTestMode(Layer.TrainingMode) - Method in class org.deeplearning4j.nn.layers.FrozenLayerWithBackprop
 
LogUniformDistribution - Class in org.deeplearning4j.arbiter.optimize.distribution
Log uniform distribution, with support in range [min, max] for min > 0 Reference: https://www.vosesoftware.com/riskwiki/LogUniformdistribution.php
LogUniformDistribution(double, double) - Constructor for class org.deeplearning4j.arbiter.optimize.distribution.LogUniformDistribution
 
logVersionInfo() - Static method in class org.nd4j.versioncheck.VersionCheck
Log of the version information with the default level of detail
logVersionInfo(VersionCheck.Detail) - Static method in class org.nd4j.versioncheck.VersionCheck
Log the version information with the specified level of detail
LogX - Class in org.nd4j.linalg.api.ops.impl.transforms
Log on arbitrary base op
LogX(SameDiff, SDVariable, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LogX
 
LogX() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LogX
 
LogX(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LogX
 
LogX(INDArray, INDArray, double, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LogX
 
LogX(INDArray, INDArray, INDArray, double, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LogX
 
LogX(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.LogX
 
long2String(long, String, int) - Static method in enum org.nd4j.util.StringUtils.TraditionalBinaryPrefix
Convert a long integer to a string with traditional binary prefix.
LongAnalysis - Class in org.datavec.api.transform.analysis.columns
Analysis for Long columns
LongAnalysis.Builder - Class in org.datavec.api.transform.analysis.columns
 
LongAnalysisCounter - Class in org.datavec.api.transform.analysis.counter
A counter function for doing analysis on Long columns, on Spark
LongAnalysisCounter() - Constructor for class org.datavec.api.transform.analysis.counter.LongAnalysisCounter
 
LongBuffer - Class in org.nd4j.linalg.api.buffer
Int buffer
LongBuffer(Pointer, Indexer, long) - Constructor for class org.nd4j.linalg.api.buffer.LongBuffer
Meant for creating another view of a buffer
LongBuffer(long) - Constructor for class org.nd4j.linalg.api.buffer.LongBuffer
 
LongBuffer(long, boolean) - Constructor for class org.nd4j.linalg.api.buffer.LongBuffer
 
LongBuffer(long, boolean, MemoryWorkspace) - Constructor for class org.nd4j.linalg.api.buffer.LongBuffer
 
LongBuffer(int[], boolean, MemoryWorkspace) - Constructor for class org.nd4j.linalg.api.buffer.LongBuffer
 
LongBuffer(ByteBuffer, int, long) - Constructor for class org.nd4j.linalg.api.buffer.LongBuffer
 
LongBuffer(byte[], int) - Constructor for class org.nd4j.linalg.api.buffer.LongBuffer
 
LongBuffer(double[], boolean) - Constructor for class org.nd4j.linalg.api.buffer.LongBuffer
 
LongBuffer(double[], boolean, long) - Constructor for class org.nd4j.linalg.api.buffer.LongBuffer
 
LongBuffer(float[], boolean) - Constructor for class org.nd4j.linalg.api.buffer.LongBuffer
 
LongBuffer(long[], boolean) - Constructor for class org.nd4j.linalg.api.buffer.LongBuffer
 
LongBuffer(long[], boolean, MemoryWorkspace) - Constructor for class org.nd4j.linalg.api.buffer.LongBuffer
 
LongBuffer(float[], boolean, long) - Constructor for class org.nd4j.linalg.api.buffer.LongBuffer
 
LongBuffer(int[], boolean, long) - Constructor for class org.nd4j.linalg.api.buffer.LongBuffer
 
LongBuffer(int, int) - Constructor for class org.nd4j.linalg.api.buffer.LongBuffer
 
LongBuffer(int, int, long) - Constructor for class org.nd4j.linalg.api.buffer.LongBuffer
 
LongBuffer(DataBuffer, long, long) - Constructor for class org.nd4j.linalg.api.buffer.LongBuffer
 
LongBuffer(ByteBuffer, int) - Constructor for class org.nd4j.linalg.api.buffer.LongBuffer
 
LongBuffer(int[]) - Constructor for class org.nd4j.linalg.api.buffer.LongBuffer
 
LongBuffer(double[]) - Constructor for class org.nd4j.linalg.api.buffer.LongBuffer
 
LongBuffer(float[]) - Constructor for class org.nd4j.linalg.api.buffer.LongBuffer
 
LongBuffer(long[]) - Constructor for class org.nd4j.linalg.api.buffer.LongBuffer
 
LongBuffer(int[], boolean) - Constructor for class org.nd4j.linalg.api.buffer.LongBuffer
 
longBufferClass() - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory
 
longBufferClass() - Method in class org.nd4j.linalg.api.buffer.factory.DefaultDataBufferFactory
 
longBufferClass() - Method in class org.nd4j.linalg.jcublas.buffer.factory.CudaDataBufferFactory
 
LongColumnCondition - Class in org.datavec.api.transform.condition.column
Condition that applies to the values in a Long column, using a ConditionOp
LongColumnCondition(String, ConditionOp, long) - Constructor for class org.datavec.api.transform.condition.column.LongColumnCondition
Constructor for operations such as less than, equal to, greater than, etc.
LongColumnCondition(String, SequenceConditionMode, ConditionOp, long) - Constructor for class org.datavec.api.transform.condition.column.LongColumnCondition
Constructor for operations such as less than, equal to, greater than, etc.
LongColumnCondition(String, ConditionOp, Set<Long>) - Constructor for class org.datavec.api.transform.condition.column.LongColumnCondition
Constructor for operations: ConditionOp.InSet, ConditionOp.NotInSet Uses default sequence condition mode, ColumnCondition.DEFAULT_SEQUENCE_CONDITION_MODE
LongColumnCondition(String, SequenceConditionMode, ConditionOp, Set<Long>) - Constructor for class org.datavec.api.transform.condition.column.LongColumnCondition
Constructor for operations: ConditionOp.InSet, ConditionOp.NotInSet
longColumnsMathOp(String, MathOp, String...) - Method in class org.datavec.api.transform.TransformProcess.Builder
Calculate and add a new long column by performing a mathematical operation on a number of existing columns.
LongColumnsMathOpTransform - Class in org.datavec.api.transform.transform.longtransform
Add a new long column, calculated from one or more other columns.
LongColumnsMathOpTransform(String, MathOp, String...) - Constructor for class org.datavec.api.transform.transform.longtransform.LongColumnsMathOpTransform
 
longField(String) - Static method in class org.datavec.arrow.ArrowConverter
Shortcut method for creating a long field with 64 bit long field
longHash - Variable in class org.nd4j.parameterserver.distributed.transport.RoutedTransport.RemoteConnection
 
LongIndexToKey - Class in org.datavec.hadoop.records.reader.mapfile.index
A default implementation of IndexToKey that assumes (strictly requires) keys that are LongWritable values, where all values are both unique and contiguous (0 to numRecords()-1)
This allows for easy inference of the number of records, and identify mapping between indexes and keys.
LongIndexToKey() - Constructor for class org.datavec.hadoop.records.reader.mapfile.index.LongIndexToKey
 
longMathOp(String, MathOp, long) - Method in class org.datavec.api.transform.TransformProcess.Builder
Perform a mathematical operation (add, subtract, scalar max etc) on the specified long column, with a scalar
LongMathOpTransform - Class in org.datavec.api.transform.transform.longtransform
Long mathematical operation.
This is an in-place operation of the long column value and an long scalar.
LongMathOpTransform(String, MathOp, long) - Constructor for class org.datavec.api.transform.transform.longtransform.LongMathOpTransform
 
LongMetaData - Class in org.datavec.api.transform.metadata
Metadata for a long column
LongMetaData(String) - Constructor for class org.datavec.api.transform.metadata.LongMetaData
 
LongMetaData(String, Long, Long) - Constructor for class org.datavec.api.transform.metadata.LongMetaData
 
LongPair - Class in org.nd4j.graph
 
LongPair() - Constructor for class org.nd4j.graph.LongPair
 
LongPointerWrapper - Class in org.nd4j.nativeblas
Wrapper for DoublePointer -> LongPointer
LongPointerWrapper(Pointer) - Constructor for class org.nd4j.nativeblas.LongPointerWrapper
 
LongQuality - Class in org.datavec.api.transform.quality.columns
Quality of a Long column
LongQuality() - Constructor for class org.datavec.api.transform.quality.columns.LongQuality
 
LongQuality(long, long, long, long, long) - Constructor for class org.datavec.api.transform.quality.columns.LongQuality
 
LongQualityAddFunction - Class in org.datavec.api.transform.analysis.quality.longq
Created by Alex on 5/03/2016.
LongQualityAddFunction() - Constructor for class org.datavec.api.transform.analysis.quality.longq.LongQualityAddFunction
 
LongQualityAnalysisState - Class in org.datavec.api.transform.analysis.quality.longq
Created by huitseeker on 3/6/17.
LongQualityAnalysisState(LongMetaData) - Constructor for class org.datavec.api.transform.analysis.quality.longq.LongQualityAnalysisState
 
LongQualityMergeFunction - Class in org.datavec.api.transform.analysis.quality.longq
Created by Alex on 5/03/2016.
LongQualityMergeFunction() - Constructor for class org.datavec.api.transform.analysis.quality.longq.LongQualityMergeFunction
 
LongShapeDescriptor - Class in org.nd4j.linalg.api.shape
 
LongShapeDescriptor(long[], long[], long, long, char, long) - Constructor for class org.nd4j.linalg.api.shape.LongShapeDescriptor
 
LongTriple - Class in org.nd4j.graph
 
LongTriple() - Constructor for class org.nd4j.graph.LongTriple
 
LongUtils - Class in org.nd4j.linalg.util
 
LongUtils() - Constructor for class org.nd4j.linalg.util.LongUtils
 
longVectorOf(BufferAllocator, String, int) - Static method in class org.datavec.arrow.ArrowConverter
 
LongVectorVector(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.LongVectorVector
Pointer cast constructor.
LongVectorVector(long[]...) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.LongVectorVector
 
LongVectorVector() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.LongVectorVector
 
LongVectorVector(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.LongVectorVector
 
LongVectorVector(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCuda.LongVectorVector
Pointer cast constructor.
LongVectorVector(long[]...) - Constructor for class org.nd4j.nativeblas.Nd4jCuda.LongVectorVector
 
LongVectorVector() - Constructor for class org.nd4j.nativeblas.Nd4jCuda.LongVectorVector
 
LongVectorVector(long) - Constructor for class org.nd4j.nativeblas.Nd4jCuda.LongVectorVector
 
LongWritable - Class in org.datavec.api.writable
A WritableComparable for longs.
LongWritable() - Constructor for class org.datavec.api.writable.LongWritable
 
LongWritable(long) - Constructor for class org.datavec.api.writable.LongWritable
 
LongWritable.Comparator - Class in org.datavec.api.writable
A Comparator optimized for LongWritable.
LongWritable.DecreasingComparator - Class in org.datavec.api.writable
A decreasing Comparator optimized for LongWritable.
LongWritableComparator - Class in org.datavec.api.writable.comparator
 
LongWritableComparator() - Constructor for class org.datavec.api.writable.comparator.LongWritableComparator
 
LongWritableOp<T> - Class in org.datavec.api.transform.ops
This class converts an IAggregableReduceOp operating on a Long to one operating on Writable instances.
LongWritableOp() - Constructor for class org.datavec.api.transform.ops.LongWritableOp
 
lookUp(int) - Method in class com.atilika.kuromoji.buffer.WordIdMap
 
lookup(String) - Method in class com.atilika.kuromoji.trie.DoubleArrayTrie
Match input keyword.
lookup(String, int, int) - Method in class com.atilika.kuromoji.trie.DoubleArrayTrie
 
lookup(int) - Method in class org.nd4j.linalg.api.iter.LinearIndexLookup
Give back a sub wrt the given linear index
lookupCategories(char) - Method in class com.atilika.kuromoji.dict.CharacterDefinitions
 
lookupDefinition(int) - Method in class com.atilika.kuromoji.dict.CharacterDefinitions
 
lookupEntry(int) - Method in class com.atilika.kuromoji.buffer.TokenInfoBuffer
 
lookupFeature(int, int) - Method in class com.atilika.kuromoji.buffer.TokenInfoBuffer
 
lookupPartOfSpeechFeature(int, int) - Method in class com.atilika.kuromoji.buffer.TokenInfoBuffer
 
lookupTable() - Method in class org.deeplearning4j.graph.models.deepwalk.DeepWalk
 
lookupTable - Variable in class org.deeplearning4j.graph.models.embeddings.GraphVectorsImpl
 
lookupTable - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
 
lookupTable - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
 
lookupTable - Variable in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
 
lookupTable() - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors
Lookup table for the vectors
lookupTable - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
lookupTable() - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
lookupTable(WeightLookupTable<VocabWord>) - Method in class org.deeplearning4j.models.glove.Glove.Builder
 
lookupTable(WeightLookupTable<V>) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
lookupTable(WeightLookupTable<VocabWord>) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method allows to define external WeightLookupTable to be used
lookupTable - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
lookupTable(WeightLookupTable<T>) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
You can pass externally built WeightLookupTable, containing model weights and vocabulary.
lookupTable() - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
Lookup table for the vectors PLEASE NOTE: This method is not available in this implementation.
lookupTable(WeightLookupTable<VocabWord>) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method allows to define external WeightLookupTable to be used
lookupTable - Variable in class org.deeplearning4j.spark.models.sequencevectors.export.impl.VocabCacheExporter
 
lookupTokenInfo(int, int) - Method in class com.atilika.kuromoji.buffer.TokenInfoBuffer
 
lookupWordIds(int) - Method in class com.atilika.kuromoji.dict.TokenInfoDictionary
 
lookupWordIds(int) - Method in class com.atilika.kuromoji.dict.UnknownDictionary
 
LOOP - Static variable in class org.nd4j.graph.OpClass
 
loopBodyExecution - Variable in class org.nd4j.linalg.api.ops.impl.controlflow.If
 
loopBodyExecution - Variable in class org.nd4j.linalg.api.ops.impl.controlflow.While
 
LoopCond - Class in org.nd4j.linalg.api.ops.impl.controlflow.compat
 
LoopCond() - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.compat.LoopCond
 
lossBinaryXENT(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
lossBinaryXENT(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Binary cross entropy loss.
lossBinaryXENT(String, SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
LossBinaryXENT - Class in org.nd4j.linalg.lossfunctions.impl
Binary cross entropy loss function https://en.wikipedia.org/wiki/Cross_entropy#Cross-entropy_error_function_and_logistic_regression Labels are assumed to take values 0 or 1
LossBinaryXENT() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT
 
LossBinaryXENT(INDArray) - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT
Binary cross entropy where each the output is (optionally) weighted/scaled by a fixed scalar value.
LossBinaryXENT(double) - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT
Binary cross entropy where each the output is (optionally) weighted/scaled by a fixed scalar value.
LossBinaryXENT(double, INDArray) - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT
Binary cross entropy where each the output is (optionally) weighted/scaled by a fixed scalar value.
lossClassPredictions(ILossFunction) - Method in class org.deeplearning4j.nn.conf.layers.objdetect.Yolo2OutputLayer.Builder
Loss function for the class predictions - defaults to L2 loss (i.e., sum of squared errors, as per the paper), however Loss MCXENT could also be used (which is more common for classification).
LossCosineProximity - Class in org.nd4j.linalg.lossfunctions.impl
Created by susaneraly on 9/9/16.
LossCosineProximity() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossCosineProximity
 
lossCosineSimilarity(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
lossCosineSimilarity(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
TODO doc string
lossCosineSimilarity(String, SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
LossFMeasure - Class in org.nd4j.linalg.lossfunctions.impl
F–measure loss function is a loss function design for training on imbalanced datasets.
LossFMeasure() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossFMeasure
 
LossFMeasure(double) - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossFMeasure
 
lossFn - Variable in class org.deeplearning4j.nn.conf.layers.BaseOutputLayer.Builder
 
lossFn - Variable in class org.deeplearning4j.nn.conf.layers.BaseOutputLayer
 
lossFn - Variable in class org.deeplearning4j.nn.conf.layers.CnnLossLayer
 
lossFn - Variable in class org.deeplearning4j.nn.conf.layers.LossLayer
 
lossFn - Variable in class org.deeplearning4j.nn.conf.layers.RnnLossLayer
 
lossFunction - Variable in class org.deeplearning4j.arbiter.layers.BaseOutputLayerSpace.Builder
 
lossFunction(LossFunctions.LossFunction) - Method in class org.deeplearning4j.arbiter.layers.BaseOutputLayerSpace.Builder
 
lossFunction(ParameterSpace<LossFunctions.LossFunction>) - Method in class org.deeplearning4j.arbiter.layers.BaseOutputLayerSpace.Builder
 
lossFunction - Variable in class org.deeplearning4j.arbiter.layers.BaseOutputLayerSpace
 
lossFunction - Variable in class org.deeplearning4j.arbiter.layers.BasePretrainNetworkLayerSpace.Builder
 
lossFunction(LossFunctions.LossFunction) - Method in class org.deeplearning4j.arbiter.layers.BasePretrainNetworkLayerSpace.Builder
 
lossFunction(ParameterSpace<LossFunctions.LossFunction>) - Method in class org.deeplearning4j.arbiter.layers.BasePretrainNetworkLayerSpace.Builder
 
lossFunction - Variable in class org.deeplearning4j.arbiter.layers.BasePretrainNetworkLayerSpace
 
lossFunction - Variable in class org.deeplearning4j.arbiter.layers.LossLayerSpace.Builder
 
lossFunction(LossFunctions.LossFunction) - Method in class org.deeplearning4j.arbiter.layers.LossLayerSpace.Builder
 
lossFunction(ParameterSpace<LossFunctions.LossFunction>) - Method in class org.deeplearning4j.arbiter.layers.LossLayerSpace.Builder
 
lossFunction - Variable in class org.deeplearning4j.arbiter.layers.LossLayerSpace
 
lossFunction(IActivation, LossFunctions.LossFunction) - Method in class org.deeplearning4j.arbiter.layers.VariationalAutoencoderLayerSpace.Builder
 
lossFunction(Activation, LossFunctions.LossFunction) - Method in class org.deeplearning4j.arbiter.layers.VariationalAutoencoderLayerSpace.Builder
 
lossFunction(IActivation, ILossFunction) - Method in class org.deeplearning4j.arbiter.layers.VariationalAutoencoderLayerSpace.Builder
 
lossFunction(LossFunctions.LossFunction) - Method in class org.deeplearning4j.nn.conf.layers.BaseOutputLayer.Builder
 
lossFunction(ILossFunction) - Method in class org.deeplearning4j.nn.conf.layers.BaseOutputLayer.Builder
 
lossFunction - Variable in class org.deeplearning4j.nn.conf.layers.BasePretrainNetwork.Builder
 
lossFunction(LossFunctions.LossFunction) - Method in class org.deeplearning4j.nn.conf.layers.BasePretrainNetwork.Builder
 
lossFunction - Variable in class org.deeplearning4j.nn.conf.layers.BasePretrainNetwork
 
lossFunction(IActivation, LossFunctions.LossFunction) - Method in class org.deeplearning4j.nn.conf.layers.variational.VariationalAutoencoder.Builder
Configure the VAE to use the specified loss function for the reconstruction, instead of a ReconstructionDistribution.
lossFunction(Activation, LossFunctions.LossFunction) - Method in class org.deeplearning4j.nn.conf.layers.variational.VariationalAutoencoder.Builder
Configure the VAE to use the specified loss function for the reconstruction, instead of a ReconstructionDistribution.
lossFunction(IActivation, ILossFunction) - Method in class org.deeplearning4j.nn.conf.layers.variational.VariationalAutoencoder.Builder
Configure the VAE to use the specified loss function for the reconstruction, instead of a ReconstructionDistribution.
LossFunction - Interface in org.nd4j.linalg.api.ops
A loss function for computing the delta between two arrays
LossFunctionParameterSpaceAdapter - Class in org.deeplearning4j.arbiter.adapter
A simple class to adapt a LossFunctions.LossFunction parameter space to a ILossFunction parameter space
LossFunctionParameterSpaceAdapter(ParameterSpace<LossFunctions.LossFunction>) - Constructor for class org.deeplearning4j.arbiter.adapter.LossFunctionParameterSpaceAdapter
 
LossFunctions - Class in org.nd4j.autodiff.loss
SameDiff loss functions
LossFunctions - Class in org.nd4j.linalg.lossfunctions
Central class for loss functions
LossFunctions() - Constructor for class org.nd4j.linalg.lossfunctions.LossFunctions
 
LossFunctions.LossFunction - Enum in org.nd4j.linalg.lossfunctions
MSE: Mean Squared Error: Linear Regression
EXPLL: Exponential log likelihood: Poisson Regression
XENT: Cross Entropy: Binary Classification
MCXENT: Multiclass Cross Entropy
RMSE_XENT: RMSE Cross Entropy
SQUARED_LOSS: Squared Loss
NEGATIVELOGLIKELIHOOD: Negative Log Likelihood
LossFunctions.Reduction - Enum in org.nd4j.autodiff.loss
 
LossFunctionWrapper - Class in org.deeplearning4j.nn.conf.layers.variational
LossFunctionWrapper allows training of a VAE model with a standard (possibly deterministic) neural network loss function for the reconstruction, instead of using a ReconstructionDistribution as would normally be done with a VAE model.
LossFunctionWrapper(IActivation, ILossFunction) - Constructor for class org.deeplearning4j.nn.conf.layers.variational.LossFunctionWrapper
 
LossFunctionWrapper(Activation, ILossFunction) - Constructor for class org.deeplearning4j.nn.conf.layers.variational.LossFunctionWrapper
 
lossHinge(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
lossHinge(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Hinge loss
lossHinge(String, SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
LossHinge - Class in org.nd4j.linalg.lossfunctions.impl
Created by susaneraly on 8/15/16.
LossHinge() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossHinge
 
LossInfo - Class in org.nd4j.autodiff.loss
Information and variables for a loss function.
LossInfo() - Constructor for class org.nd4j.autodiff.loss.LossInfo
 
lossKLD(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
lossKLD(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Kullback-Leibler divergence loss
lossKLD(String, SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
LossKLD - Class in org.nd4j.linalg.lossfunctions.impl
Kullback Leibler Divergence loss function
LossKLD() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossKLD
 
lossL1(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
lossL1(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
L1 loss
lossL1(String, SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
LossL1 - Class in org.nd4j.linalg.lossfunctions.impl
L1 loss function: i.e., sum of absolute errors, L = sum_i abs(predicted_i - actual_i) See also LossMAE for a mathematically similar loss function (MAE has division by N, where N is output size)
LossL1() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossL1
 
LossL1(INDArray) - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossL1
L1 loss function where each the output is (optionally) weighted/scaled by a flags scalar value.
lossL2(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
lossL2(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
L2 loss
lossL2(String, SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
LossL2 - Class in org.nd4j.linalg.lossfunctions.impl
L2 loss function: i.e., sum of squared errors, L = sum_i (actual_i - predicted)^2 The L2 loss function is the square of the L2 norm of the difference between actual and predicted.
LossL2() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossL2
 
LossL2(INDArray) - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossL2
L2 loss function where each the output is (optionally) weighted/scaled by a flags scalar value.
LossLayer - Class in org.deeplearning4j.nn.conf.layers
LossLayer is a flexible output "layer" that performs a loss function on an input without MLP logic.
LossLayer(LossLayer.Builder) - Constructor for class org.deeplearning4j.nn.conf.layers.LossLayer
 
LossLayer - Class in org.deeplearning4j.nn.layers
LossLayer is a flexible output "layer" that performs a loss function on an input without MLP logic.
LossLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.LossLayer
 
LossLayer(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.LossLayer
 
LossLayer.Builder - Class in org.deeplearning4j.nn.conf.layers
 
LossLayerSpace - Class in org.deeplearning4j.arbiter.layers
 
LossLayerSpace(LossLayerSpace.Builder) - Constructor for class org.deeplearning4j.arbiter.layers.LossLayerSpace
 
LossLayerSpace.Builder - Class in org.deeplearning4j.arbiter.layers
 
lossMAE(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
lossMAE(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Mean absolute error loss
lossMAE(String, SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
LossMAE - Class in org.nd4j.linalg.lossfunctions.impl
Mean absolute error loss function: L = 1/N sum_i abs(predicted_i - actual_i) See also LossL1 for a mathematically similar loss function (LossL1 does not have division by N, where N is output size)
LossMAE() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossMAE
 
LossMAE(INDArray) - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossMAE
Mean Absolute Error loss function where each the output is (optionally) weighted/scaled by a flags scalar value.
lossMAPE(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
LossMAPE - Class in org.nd4j.linalg.lossfunctions.impl
Created by susaneraly on 8/15/16.
LossMAPE() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossMAPE
 
LossMAPE(INDArray) - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossMAPE
Mean Absolute Percentage Error loss function where each the output is (optionally) weighted/scaled by a flags scalar value.
lossMCXENT(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
lossMCXENT(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
lossMCXENT(String, SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
LossMCXENT - Class in org.nd4j.linalg.lossfunctions.impl
Multi-Class Cross Entropy loss function:
L = sum_i actual_i * log( predicted_i )
LossMCXENT() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossMCXENT
 
LossMCXENT(INDArray) - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossMCXENT
Multi-Class Cross Entropy loss function where each the output is (optionally) weighted/scaled by a flags scalar value.
LossMCXENT(double, INDArray) - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossMCXENT
Multi-Class Cross Entropy loss function where each the output is (optionally) weighted/scaled by a fixed scalar value.
LossMixtureDensity - Class in org.nd4j.linalg.lossfunctions.impl
This is a cost function associated with a mixture-density network.
LossMixtureDensity() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity
 
LossMixtureDensity.Builder - Class in org.nd4j.linalg.lossfunctions.impl
 
LossMixtureDensity.MixtureDensityComponents - Class in org.nd4j.linalg.lossfunctions.impl
This class is a data holder for the mixture density components for convenient manipulation.
lossMSE(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
lossMSE(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Mean squared error loss
lossMSE(String, SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
LossMSE - Class in org.nd4j.linalg.lossfunctions.impl
Mean Squared Error loss function: L = 1/N sum_i (actual_i - predicted)^2 See also LossL2 for a mathematically similar loss function (LossL2 does not have division by N, where N is output size)
LossMSE() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossMSE
 
LossMSE(INDArray) - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossMSE
Mean Squared Error loss function where each the output is (optionally) weighted/scaled by a flags scalar value.
lossMSLE(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
lossMSLE(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
lossMSLE(String, SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
LossMSLE - Class in org.nd4j.linalg.lossfunctions.impl
Mean Squared Logarithmic Error loss function: L = 1/N sum_i (log(1+predicted_i) - log(1+actual_i))^2
LossMSLE() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossMSLE
 
LossMSLE(INDArray) - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossMSLE
Mean Squared Logarithmic Error loss function where each the output is (optionally) weighted/scaled by a flags scalar value.
LossMultiLabel - Class in org.nd4j.linalg.lossfunctions.impl
Multi-Label-Loss Function, maybe more commonly known as BPMLL
LossMultiLabel() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossMultiLabel
 
lossNegativeLogLikelihood(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
lossNegativeLogLikelihood(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
lossNegativeLogLikelihood(String, SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
LossNegativeLogLikelihood - Class in org.nd4j.linalg.lossfunctions.impl
Negative log likelihood loss function
LossNegativeLogLikelihood() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossNegativeLogLikelihood
 
LossNegativeLogLikelihood(INDArray) - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossNegativeLogLikelihood
 
lossPoisson(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
lossPoisson(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
lossPoisson(String, SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
LossPoisson - Class in org.nd4j.linalg.lossfunctions.impl
Created by susaneraly on 9/9/16.
LossPoisson() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossPoisson
 
lossPositionScale(ILossFunction) - Method in class org.deeplearning4j.nn.conf.layers.objdetect.Yolo2OutputLayer.Builder
Loss function for position/scale component of the loss function
lossSquaredHinge(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
lossSquaredHinge(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
lossSquaredHinge(String, SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
LossSquaredHinge - Class in org.nd4j.linalg.lossfunctions.impl
Created by susaneraly on 9/9/16.
LossSquaredHinge() - Constructor for class org.nd4j.linalg.lossfunctions.impl.LossSquaredHinge
 
LossUtil - Class in org.nd4j.linalg.lossfunctions
Created by Alex on 14/09/2016.
LossUtil() - Constructor for class org.nd4j.linalg.lossfunctions.LossUtil
 
LowCasePreProcessor - Class in org.deeplearning4j.text.tokenization.tokenizer.preprocessor
 
LowCasePreProcessor() - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.preprocessor.LowCasePreProcessor
 
lowerThresh - Variable in class org.datavec.image.transform.LargestBlobCropTransform
 
LowLatencyMediaDriver - Class in org.nd4j.aeron.ipc
Created by agibsonccc on 9/22/16.
lr - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
 
lr(double) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
Deprecated.
lr - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
lr(double) - Method in class org.deeplearning4j.models.glove.GloveWeightLookupTable.Builder
Deprecated.
 
lr(double) - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveParam.Builder
 
LSH - Interface in org.deeplearning4j.clustering.lsh
This interface gathers the minimal elements for an LSH implementation See chapter 3 of : _Mining Massive Datasets_, Anand Rajaraman and Jeffrey Ullman http://www.mmds.org/
LSTM - Class in org.deeplearning4j.nn.conf.layers
LSTM recurrent net without peephole connections.
LSTM - Class in org.deeplearning4j.nn.layers.recurrent
LSTM layer implementation.
LSTM(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.recurrent.LSTM
 
LSTM(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.recurrent.LSTM
 
lstm(String, LSTMCellConfiguration) - Method in class org.nd4j.autodiff.samediff.SameDiff
LSTM unit
LSTM.Builder - Class in org.deeplearning4j.nn.conf.layers
 
LSTMCell - Class in org.nd4j.linalg.api.ops.impl.layers.recurrent
LSTM cell
LSTMCell() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMCell
 
LSTMCell(SameDiff, LSTMCellConfiguration) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.LSTMCell
 
LSTMCellConfiguration - Class in org.nd4j.linalg.api.ops.impl.layers.recurrent.config
 
LSTMCellConfiguration() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.recurrent.config.LSTMCellConfiguration
 
LSTMHelper - Interface in org.deeplearning4j.nn.layers.recurrent
Helper for the recurrent LSTM layer (no peephole connections).
LSTMHelpers - Class in org.deeplearning4j.nn.layers.recurrent
RNN tutorial: http://deeplearning4j.org/usingrnns.html READ THIS FIRST if you want to understand what the heck is happening here.
LSTMLayerSpace - Class in org.deeplearning4j.arbiter.layers
Layer space for LSTM layers
LSTMLayerSpace.Builder - Class in org.deeplearning4j.arbiter.layers
 
LSTMParamInitializer - Class in org.deeplearning4j.nn.params
LSTM Parameter initializer, for LSTM based on Graves: Supervised Sequence Labelling with Recurrent Neural Networks http://www.cs.toronto.edu/~graves/phd.pdf
LSTMParamInitializer() - Constructor for class org.deeplearning4j.nn.params.LSTMParamInitializer
 
lt(DataSet, DataSet) - Method in class org.deeplearning4j.spark.ordering.DataSetOrdering
 
lt(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
lt(SDVariable, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
lt(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.SameDiff
Less than operation: elementwise x < y
Returns an array with the same shape/size as the input, with values 1 where condition is satisfied, or value 0 otherwise
lt(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.SameDiff
Less than operation: elementwise x < y
Returns an array with the same shape/size as the input, with values 1 where condition is satisfied, or value 0 otherwise
lt(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Less than operation: elementwise x < y
If x and y arrays have equal shape, the output shape is the same as these inputs.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
Returns an array with values 1 where condition is satisfied, or value 0 otherwise.
lt(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Less than operation: elementwise x < y
If x and y arrays have equal shape, the output shape is the same as these inputs.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
Returns an array with values 1 where condition is satisfied, or value 0 otherwise.
lt(double) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
lt(String, double) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
lt(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
lt(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
lt(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
lt(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
lt(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
lt(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
lt(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Returns the binary ndarray for "Less" comparison.
lt(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Returns the binary ndarray for "Less" comparison.
lt(INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Broadcast
Broadcast less than op.
lte(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
lte(SDVariable, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
lte(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.SameDiff
Less than or equals operation: elementwise x <= y
Returns an array with the same shape/size as the input, with values 1 where condition is satisfied, or value 0 otherwise
lte(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.SameDiff
Less than or equals operation: elementwise x <= y
Returns an array with the same shape/size as the input, with values 1 where condition is satisfied, or value 0 otherwise
lte(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Less than or equal to operation: elementwise x <= y
If x and y arrays have equal shape, the output shape is the same as these inputs.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
Returns an array with values 1 where condition is satisfied, or value 0 otherwise.
lte(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Less than or equal to operation: elementwise x <= y
If x and y arrays have equal shape, the output shape is the same as these inputs.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
Returns an array with values 1 where condition is satisfied, or value 0 otherwise.
lte(double) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
lte(String, double) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
lte(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
lte(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
lte(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
lte(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
lte(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Returns the binary ndarray for "Less or equals" comparison.
lte(INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Broadcast
Broadcast less than or equal to op.
ltei(SDVariable, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
ltei(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
ltei(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
ltei(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Returns the binary ndarray for "Less or equals" comparison.
lteq(DataSet, DataSet) - Method in class org.deeplearning4j.spark.ordering.DataSetOrdering
 
lti(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
lti(SDVariable, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
lti(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
lti(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
lti(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
lti(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
lti(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Returns the binary ndarray for "Less" comparison.
lti(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Returns the binary ndarray for "Less" comparison.
ltOrEqi(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z _ 
Skip navigation links