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S

S - Static variable in class org.ansj.app.crf.Config
 
s0 - Variable in class org.nd4j.linalg.api.ops.impl.transforms.Dilation2D
 
s1 - Variable in class org.nd4j.linalg.api.ops.impl.transforms.Dilation2D
 
s2 - Variable in class org.nd4j.linalg.api.ops.impl.transforms.Dilation2D
 
s3 - Variable in class org.nd4j.linalg.api.ops.impl.transforms.Dilation2D
 
S3Downloader - Class in org.deeplearning4j.aws.s3.reader
Downloads files from S3
S3Downloader() - Constructor for class org.deeplearning4j.aws.s3.reader.S3Downloader
 
s3JarFolder(String) - Method in class org.deeplearning4j.aws.emr.SparkEMRClient.Builder
the S3 folder in which to find the application jar
S3Uploader - Class in org.deeplearning4j.aws.s3.uploader
Uploads files to S3
S3Uploader() - Constructor for class org.deeplearning4j.aws.s3.uploader.S3Uploader
 
S_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.AttributeProto
 
S_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.AttributeProto
 
S_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AttrValue.ListValue
 
S_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AttrValue
 
SaddlePointExpansion - Class in org.nd4j.linalg.api.rng.distribution.impl
Utility class used by various distributions to accurately compute their respective probability mass functions.
safeShift(long, long) - Static method in class org.nd4j.nativeblas.Nd4jCpu.RandomBuffer
 
safeShift(long, long) - Static method in class org.nd4j.nativeblas.Nd4jCuda.RandomBuffer
 
SAFETY_OFFSET - Static variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
 
sameDiff - Variable in class org.deeplearning4j.nn.layers.samediff.SameDiffGraphVertex
 
sameDiff - Variable in class org.deeplearning4j.nn.layers.samediff.SameDiffLayer
 
sameDiff - Variable in class org.deeplearning4j.nn.layers.samediff.SameDiffOutputLayer
 
sameDiff - Variable in class org.nd4j.autodiff.functions.DifferentialFunction
 
sameDiff - Variable in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
sameDiff() - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
SameDiff - Class in org.nd4j.autodiff.samediff
SameDiff is the entrypoint for nd4j's autodiff.
sameDiff(SameDiff) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.SameDiffBuilder
 
sameDiffBuilder(String, SameDiff) - Static method in class org.nd4j.linalg.api.ops.DynamicCustomOp
 
SameDiffBuilder(String, SameDiff, long, int, int, boolean, int, int) - Constructor for class org.nd4j.linalg.api.ops.DynamicCustomOp.SameDiffBuilder
 
SameDiffConditional - Interface in org.nd4j.autodiff.samediff
An interface for representing a conditional statement
SameDiffFunctionDefinition - Interface in org.nd4j.autodiff.samediff
A function definition for samediff
SameDiffGraphVertex - Class in org.deeplearning4j.nn.layers.samediff
Implementation of a SameDiff graph vertex.
SameDiffGraphVertex(SameDiffVertex, ComputationGraph, String, int, INDArray, boolean) - Constructor for class org.deeplearning4j.nn.layers.samediff.SameDiffGraphVertex
 
SameDiffLambdaLayer - Class in org.deeplearning4j.nn.conf.layers.samediff
 
SameDiffLambdaLayer() - Constructor for class org.deeplearning4j.nn.conf.layers.samediff.SameDiffLambdaLayer
 
SameDiffLambdaVertex - Class in org.deeplearning4j.nn.conf.layers.samediff
 
SameDiffLambdaVertex() - Constructor for class org.deeplearning4j.nn.conf.layers.samediff.SameDiffLambdaVertex
 
SameDiffLambdaVertex.VertexInputs - Class in org.deeplearning4j.nn.conf.layers.samediff
 
SameDiffLayer - Class in org.deeplearning4j.nn.conf.layers.samediff
A base layer used for implementing Deeplearning4j layers using SameDiff.
SameDiffLayer(SameDiffLayer.Builder) - Constructor for class org.deeplearning4j.nn.conf.layers.samediff.SameDiffLayer
 
SameDiffLayer() - Constructor for class org.deeplearning4j.nn.conf.layers.samediff.SameDiffLayer
 
SameDiffLayer - Class in org.deeplearning4j.nn.layers.samediff
 
SameDiffLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.samediff.SameDiffLayer
 
SameDiffLayer.Builder<T extends SameDiffLayer.Builder<T>> - Class in org.deeplearning4j.nn.conf.layers.samediff
 
SameDiffLayerUtils - Class in org.deeplearning4j.nn.conf.layers.samediff
 
SameDiffOpExecutioner - Class in org.nd4j.autodiff.samediff
 
SameDiffOpExecutioner() - Constructor for class org.nd4j.autodiff.samediff.SameDiffOpExecutioner
 
SameDiffOutputLayer - Class in org.deeplearning4j.nn.conf.layers.samediff
A base layer used for implementing Deeplearning4j Output layers using SameDiff.
SameDiffOutputLayer() - Constructor for class org.deeplearning4j.nn.conf.layers.samediff.SameDiffOutputLayer
 
SameDiffOutputLayer - Class in org.deeplearning4j.nn.layers.samediff
 
SameDiffOutputLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.samediff.SameDiffOutputLayer
 
SameDiffParamInitializer - Class in org.deeplearning4j.nn.params
 
SameDiffParamInitializer() - Constructor for class org.deeplearning4j.nn.params.SameDiffParamInitializer
 
SameDiffVertex - Class in org.deeplearning4j.nn.conf.layers.samediff
A SameDiff-based GraphVertex.
SameDiffVertex() - Constructor for class org.deeplearning4j.nn.conf.layers.samediff.SameDiffVertex
 
sameTypes(Schema) - Method in class org.datavec.api.transform.schema.Schema
Returns true if the given schema has the same types at each index
sameUnderlyingData(DataBuffer) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
sameUnderlyingData(DataBuffer) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
Returns true if the underlying data source is the same for both buffers (referential equals)
sameUnderlyingData(DataBuffer) - Method in class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
sample(PathFilter, double...) - Method in class org.datavec.api.split.BaseInputSplit
Samples the locations based on the PathFilter and splits the result into an array of InputSplit objects, with sizes proportional to the weights.
sample(int, JavaRDD<List<Writable>>) - Static method in class org.datavec.spark.transform.AnalyzeSpark
Randomly sample a set of examples
sample() - Method in class org.deeplearning4j.arbiter.optimize.distribution.DegenerateIntegerDistribution
 
sample(int) - Method in class org.deeplearning4j.arbiter.optimize.distribution.DegenerateIntegerDistribution
 
sample() - Method in class org.deeplearning4j.arbiter.optimize.distribution.LogUniformDistribution
 
sample(int) - Method in class org.deeplearning4j.arbiter.optimize.distribution.LogUniformDistribution
 
sample() - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Sampling for creating mini batches
sample() - Method in class org.nd4j.linalg.api.rng.distribution.BaseDistribution
Generate a random value sampled from this distribution.
sample(long) - Method in class org.nd4j.linalg.api.rng.distribution.BaseDistribution
Generate a random sample from the distribution.
sample(int[]) - Method in class org.nd4j.linalg.api.rng.distribution.BaseDistribution
 
sample(long[]) - Method in class org.nd4j.linalg.api.rng.distribution.BaseDistribution
 
sample(INDArray) - Method in class org.nd4j.linalg.api.rng.distribution.BaseDistribution
 
sample() - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
Generate a random value sampled from this distribution.
sample(long) - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
Generate a random sample from the distribution.
sample(int[]) - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
Sample the given shape
sample(long[]) - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
 
sample(INDArray) - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
Fill the target array by sampling from the distribution
sample(int[]) - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
 
sample(INDArray) - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
 
sample() - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution
Generate a random value sampled from this distribution.
sample(int[]) - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution
 
sample(INDArray) - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution
 
sample() - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution
Generate a random value sampled from this distribution.
sample(int[]) - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution
 
sample(INDArray) - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution
 
sample() - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
Generate a random value sampled from this distribution.
sample(int[]) - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
 
sample(INDArray) - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
 
sample() - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution
Generate a random value sampled from this distribution.
sample(int[]) - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution
 
sample(long[]) - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution
 
sample(INDArray) - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution
 
sample() - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution
Generate a random value sampled from this distribution.
sample(int[]) - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution
 
sample(INDArray) - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution
 
sample() - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution
Generate a random value sampled from this distribution.
sample(int[]) - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution
 
sample(INDArray) - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution
 
sample(int) - Method in interface org.nd4j.linalg.dataset.api.DataSet
 
sample(int, Random) - Method in interface org.nd4j.linalg.dataset.api.DataSet
 
sample(int, boolean) - Method in interface org.nd4j.linalg.dataset.api.DataSet
 
sample(int, Random, boolean) - Method in interface org.nd4j.linalg.dataset.api.DataSet
 
sample(int) - Method in class org.nd4j.linalg.dataset.DataSet
Sample without replacement and a random rng
sample(int, Random) - Method in class org.nd4j.linalg.dataset.DataSet
Sample without replacement
sample(int, boolean) - Method in class org.nd4j.linalg.dataset.DataSet
Sample a dataset numSamples times
sample(int, Random, boolean) - Method in class org.nd4j.linalg.dataset.DataSet
Sample a dataset
SAMPLE_RATE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.Summary.Audio
 
sampleDoublesInInterval(double[][], int) - Static method in class org.deeplearning4j.clustering.util.MathUtils
 
sampleDoublesInInterval(double[][], int) - Static method in class org.nd4j.linalg.util.MathUtils
 
sampleFromColumn(int, String, Schema, JavaRDD<List<Writable>>) - Static method in class org.datavec.spark.transform.AnalyzeSpark
Randomly sample values from a single column
sampleFromColumnSequence(int, String, Schema, JavaRDD<List<List<Writable>>>) - Static method in class org.datavec.spark.transform.AnalyzeSpark
Randomly sample values from a single column, in all sequences.
sampleHiddenGivenVisible(INDArray) - Method in class org.deeplearning4j.nn.layers.BasePretrainNetwork
Sample the hidden distribution given the visible
sampleHiddenGivenVisible(INDArray) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.AutoEncoder
 
sampleInvalidFromColumn(int, String, Schema, JavaRDD<List<Writable>>) - Static method in class org.datavec.spark.transform.AnalyzeSpark
Randomly sample a set of invalid values from a specified column.
sampleInvalidFromColumn(int, String, Schema, JavaRDD<List<Writable>>, boolean) - Static method in class org.datavec.spark.transform.AnalyzeSpark
Randomly sample a set of invalid values from a specified column.
sampleInvalidFromColumnSequence(int, String, Schema, JavaRDD<List<List<Writable>>>) - Static method in class org.datavec.spark.transform.AnalyzeSpark
Randomly sample a set of invalid values from a specified column, for a sequence data set.
sampleMostFrequentFromColumn(int, String, Schema, JavaRDD<List<Writable>>) - Static method in class org.datavec.spark.transform.AnalyzeSpark
Sample the N most frequently occurring values in the specified column
sampleSequence(int, JavaRDD<List<List<Writable>>>) - Static method in class org.datavec.spark.transform.AnalyzeSpark
Randomly sample a number of sequences from the data
sampleStdev - Variable in class org.datavec.api.transform.analysis.columns.NumericalColumnAnalysis.Builder
 
sampleStdev(double) - Method in class org.datavec.api.transform.analysis.columns.NumericalColumnAnalysis.Builder
 
sampleStdev - Variable in class org.datavec.api.transform.analysis.columns.NumericalColumnAnalysis
 
sampleStdevLength(double) - Method in class org.datavec.api.transform.analysis.columns.StringAnalysis.Builder
 
sampleVariance - Variable in class org.datavec.api.transform.analysis.columns.NumericalColumnAnalysis.Builder
 
sampleVariance(double) - Method in class org.datavec.api.transform.analysis.columns.NumericalColumnAnalysis.Builder
 
sampleVariance - Variable in class org.datavec.api.transform.analysis.columns.NumericalColumnAnalysis
 
sampleVarianceLength(double) - Method in class org.datavec.api.transform.analysis.columns.StringAnalysis.Builder
 
sampleVisibleGivenHidden(INDArray) - Method in class org.deeplearning4j.nn.layers.BasePretrainNetwork
Sample the visible distribution given the hidden
sampleVisibleGivenHidden(INDArray) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.AutoEncoder
 
sampling - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
 
sampling - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
 
sampling - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
 
sampling - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
sampling(double) - Method in class org.deeplearning4j.models.glove.Glove.Builder
Deprecated.
sampling(double) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
sampling(double) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method defines whether subsampling should be used or not
sampling - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
sampling(double) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
This method defines sub-sampling threshold.
sampling(double) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method defines whether subsampling should be used or not
sampling - Variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
 
sampling(double) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
Specifies subsamplng value
SamplingDataSetIterator - Class in org.deeplearning4j.datasets.iterator
A wrapper for a dataset to sample from.
SamplingDataSetIterator(DataSet, int, int) - Constructor for class org.deeplearning4j.datasets.iterator.SamplingDataSetIterator
 
SamplingDataSetIterator - Class in org.nd4j.linalg.dataset.api.iterator
A wrapper for a dataset to sample from.
SamplingDataSetIterator(DataSet, int, int, boolean) - Constructor for class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator
 
SamplingDataSetIterator(DataSet, int, int) - Constructor for class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator
 
SamplingMode - Enum in org.deeplearning4j.models.sequencevectors.graph.enums
 
samplingMode - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker.Builder
 
samplingMode - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker
 
sasum(long, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
 
sasum(long, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
 
sasum(long, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
 
sasum(long, INDArray, int) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.CpuLevel1
 
sasum(long, DataBuffer, int, int) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.CpuLevel1
 
sasum(long, INDArray, int) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.SparseCpuLevel1
Compute the sum of magnitude of the float vector elements
sasum(long, INDArray, int) - Method in class org.nd4j.linalg.jcublas.blas.JcublasLevel1
 
sasum(long, DataBuffer, int, int) - Method in class org.nd4j.linalg.jcublas.blas.JcublasLevel1
 
sasum(long, INDArray, int) - Method in class org.nd4j.linalg.jcublas.blas.JcusparseLevel1
 
save(File) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Save the ComputationGraph to a file.
save(File, boolean) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Save the ComputationGraph to a file.
save(File) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Save the MultiLayerNetwork to a file.
save(File, boolean) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Save the MultiLayerNetwork to a file.
save(Model, String) - Method in class org.deeplearning4j.optimize.listeners.callbacks.ModelSavingCallback
This method saves model
save(OutputStream) - Method in class org.deeplearning4j.rl4j.network.ac.ActorCriticCompGraph
 
save(String) - Method in class org.deeplearning4j.rl4j.network.ac.ActorCriticCompGraph
 
save(OutputStream, OutputStream) - Method in class org.deeplearning4j.rl4j.network.ac.ActorCriticCompGraph
 
save(String, String) - Method in class org.deeplearning4j.rl4j.network.ac.ActorCriticCompGraph
 
save(OutputStream) - Method in class org.deeplearning4j.rl4j.network.ac.ActorCriticSeparate
 
save(String) - Method in class org.deeplearning4j.rl4j.network.ac.ActorCriticSeparate
 
save(OutputStream, OutputStream) - Method in class org.deeplearning4j.rl4j.network.ac.ActorCriticSeparate
 
save(String, String) - Method in class org.deeplearning4j.rl4j.network.ac.ActorCriticSeparate
 
save(OutputStream, OutputStream) - Method in interface org.deeplearning4j.rl4j.network.ac.IActorCritic
 
save(String, String) - Method in interface org.deeplearning4j.rl4j.network.ac.IActorCritic
 
save(OutputStream) - Method in class org.deeplearning4j.rl4j.network.dqn.DQN
 
save(String) - Method in class org.deeplearning4j.rl4j.network.dqn.DQN
 
save(OutputStream) - Method in interface org.deeplearning4j.rl4j.network.NeuralNet
save the neural net into an OutputStream
save(String) - Method in interface org.deeplearning4j.rl4j.network.NeuralNet
save the neural net into a filename
save(String) - Method in class org.deeplearning4j.rl4j.policy.ACPolicy
 
save(String, String) - Method in class org.deeplearning4j.rl4j.policy.ACPolicy
 
save(String) - Method in class org.deeplearning4j.rl4j.policy.DQNPolicy
 
save(String, Learning) - Static method in class org.deeplearning4j.rl4j.util.DataManager
 
save(OutputStream, Learning) - Static method in class org.deeplearning4j.rl4j.util.DataManager
 
save(Learning) - Method in class org.deeplearning4j.rl4j.util.DataManager
 
save(INDArray, String) - Method in interface org.nd4j.jdbc.loader.api.JDBCNDArrayIO
Save the ndarray
save(INDArray, String) - Method in class org.nd4j.jdbc.loader.impl.BaseLoader
Save the ndarray
save(OutputStream) - Method in interface org.nd4j.linalg.dataset.api.DataSet
Write the contents of this DataSet to the specified OutputStream
save(File) - Method in interface org.nd4j.linalg.dataset.api.DataSet
Save this DataSet to a file.
save(File, File) - Method in class org.nd4j.linalg.dataset.api.iterator.StandardScaler
Deprecated.
Save the current mean and std
save(OutputStream) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
Save this MultiDataSet to the specified stream.
save(File) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
Save this MultiDataSet to the specified file
save(List<File>, List<File>) - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize
Deprecated.
use MultiStandardizeSerializerStrategy instead

Save the current means and standard deviations to the file system

save(File...) - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler
Deprecated.
save(File...) - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize
Deprecated.
use NormalizerSerializer instead

Save the current means and standard deviations to the file system

save(File, File) - Method in class org.nd4j.linalg.dataset.api.preprocessor.stats.DistributionStats
Save distribution statistics to the file system
save(OutputStream) - Method in class org.nd4j.linalg.dataset.DataSet
 
save(File) - Method in class org.nd4j.linalg.dataset.DataSet
 
save(OutputStream) - Method in class org.nd4j.linalg.dataset.MultiDataSet
 
save(File) - Method in class org.nd4j.linalg.dataset.MultiDataSet
 
SAVE_SLICE_INFO_DEF_FIELD_NUMBER - Static variable in class org.tensorflow.framework.VariableDef
 
saveAsFile(List<String>, String) - Method in class org.deeplearning4j.plot.BarnesHutTsne
Save the model as a file with a csv format, adding the label as the last column.
saveBestModel(T, double) - Method in interface org.deeplearning4j.earlystopping.EarlyStoppingModelSaver
Save the best model (so far) learned during early stopping training
saveBestModel(T, double) - Method in class org.deeplearning4j.earlystopping.saver.InMemoryModelSaver
 
saveBestModel(ComputationGraph, double) - Method in class org.deeplearning4j.earlystopping.saver.LocalFileGraphSaver
 
saveBestModel(MultiLayerNetwork, double) - Method in class org.deeplearning4j.earlystopping.saver.LocalFileModelSaver
 
saveBinary(INDArray, File) - Static method in class org.nd4j.linalg.factory.Nd4j
Save an ndarray to the given file
saveEvery(long, TimeUnit) - Method in class org.deeplearning4j.optimize.listeners.checkpoint.CheckpointListener.Builder
Save a model periodically
saveEvery(long, TimeUnit, boolean) - Method in class org.deeplearning4j.optimize.listeners.checkpoint.CheckpointListener.Builder
Save a model periodically (if sinceLast == false), or if the specified amount of time has elapsed since the last model was saved (if sinceLast == true)
saveEveryEpoch() - Method in class org.deeplearning4j.optimize.listeners.checkpoint.CheckpointListener.Builder
Save a model at the end of every epoch
saveEveryNEpochs(int) - Method in class org.deeplearning4j.optimize.listeners.checkpoint.CheckpointListener.Builder
Save a model at the end of every N epochs
saveEveryNIterations(int) - Method in class org.deeplearning4j.optimize.listeners.checkpoint.CheckpointListener.Builder
Save a model every N iterations
saveEveryNIterations(int, boolean) - Method in class org.deeplearning4j.optimize.listeners.checkpoint.CheckpointListener.Builder
Save a model every N iterations (if sinceLast == false), or if N iterations have passed since the last model vas saved (if sinceLast == true)
saveFingerprintAsFile(byte[], String) - Method in class org.datavec.audio.fingerprint.FingerprintManager
Save fingerprint to a file
saveHTMLFile(String, Component...) - Static method in class org.deeplearning4j.ui.standalone.StaticPageUtil
A version of StaticPageUtil.renderHTML(Component...) that exports the resulting HTML to the specified path.
saveHTMLFile(File, Component...) - Static method in class org.deeplearning4j.ui.standalone.StaticPageUtil
A version of StaticPageUtil.renderHTML(Component...) that exports the resulting HTML to the specified File.
saveLastModel(boolean) - Method in class org.deeplearning4j.earlystopping.EarlyStoppingConfiguration.Builder
Save the last model? If true: save the most recent model at each epoch, in addition to the best model (whenever the best model improves).
saveLatestModel(T, double) - Method in interface org.deeplearning4j.earlystopping.EarlyStoppingModelSaver
Save the latest (most recent) model learned during early stopping
saveLatestModel(T, double) - Method in class org.deeplearning4j.earlystopping.saver.InMemoryModelSaver
 
saveLatestModel(ComputationGraph, double) - Method in class org.deeplearning4j.earlystopping.saver.LocalFileGraphSaver
 
saveLatestModel(MultiLayerNetwork, double) - Method in class org.deeplearning4j.earlystopping.saver.LocalFileModelSaver
 
saveMapFile(String, JavaRDD<List<Writable>>) - Static method in class org.datavec.spark.storage.SparkStorageUtils
Save a JavaRDD<List<Writable>> to a Hadoop MapFile.
saveMapFile(String, JavaRDD<List<Writable>>, int, Integer) - Static method in class org.datavec.spark.storage.SparkStorageUtils
Save a JavaRDD<List<Writable>> to a Hadoop MapFile.
saveMapFile(String, JavaRDD<List<Writable>>, Configuration, Integer) - Static method in class org.datavec.spark.storage.SparkStorageUtils
Save a JavaRDD<List<Writable>> to a Hadoop MapFile.
saveMapFileSequences(String, JavaRDD<List<List<Writable>>>) - Static method in class org.datavec.spark.storage.SparkStorageUtils
Save a JavaRDD<List<List<Writable>>> to a Hadoop MapFile.
saveMapFileSequences(String, JavaRDD<List<List<Writable>>>, int, Integer) - Static method in class org.datavec.spark.storage.SparkStorageUtils
Save a JavaRDD<List<List<Writable>>> to a Hadoop MapFile.
saveMapFileSequences(String, JavaRDD<List<List<Writable>>>, Configuration, Integer) - Static method in class org.datavec.spark.storage.SparkStorageUtils
Save a JavaRDD<List<List<Writable>>> to a Hadoop MapFile.
saveModel(OptimizationResult, Object) - Method in class org.deeplearning4j.arbiter.optimize.api.saving.InMemoryResultSaver
 
saveModel(OptimizationResult, Object) - Method in interface org.deeplearning4j.arbiter.optimize.api.saving.ResultSaver
Save the model (including configuration and any additional evaluation/results)
saveModel(OptimizationResult, Object) - Method in class org.deeplearning4j.arbiter.saver.local.FileModelSaver
 
saveObject(Object, File) - Static method in class org.nd4j.linalg.util.SerializationUtils
 
saveSequenceFile(String, JavaRDD<List<Writable>>) - Static method in class org.datavec.spark.storage.SparkStorageUtils
Save a JavaRDD<List<Writable>> to a Hadoop SequenceFile.
saveSequenceFile(String, JavaRDD<List<Writable>>, Integer) - Static method in class org.datavec.spark.storage.SparkStorageUtils
Save a JavaRDD<List<Writable>> to a Hadoop SequenceFile.
saveSequenceFileSequences(String, JavaRDD<List<List<Writable>>>) - Static method in class org.datavec.spark.storage.SparkStorageUtils
Save a JavaRDD<List<List<Writable>>> to a Hadoop SequenceFile.
saveSequenceFileSequences(String, JavaRDD<List<List<Writable>>>, Integer) - Static method in class org.datavec.spark.storage.SparkStorageUtils
Save a JavaRDD<List<List<Writable>>> to a Hadoop SequenceFile.
SaveSliceInfoDef - Class in org.tensorflow.framework
Protobuf type tensorflow.SaveSliceInfoDef
SaveSliceInfoDef.Builder - Class in org.tensorflow.framework
Protobuf type tensorflow.SaveSliceInfoDef
SaveSliceInfoDefOrBuilder - Interface in org.tensorflow.framework
 
saveUpdater - Variable in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
 
saveUpdater(boolean) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
Set whether the updater (i.e., historical state for momentum, adagrad, etc should be saved).
saveUpdater - Variable in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
SaveV2 - Class in org.nd4j.linalg.api.ops.persistence
 
SaveV2() - Constructor for class org.nd4j.linalg.api.ops.persistence.SaveV2
 
saveVocab() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Serialize vocabulary to specified path
saveVocab() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
saveVocab() - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Saves the vocab: this allow for reuse of word frequencies
saveWaveAsFile(String) - Method in class org.datavec.audio.WaveFileManager
Save the wave file
saxpy(long, float, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
 
saxpy(long, float, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
 
saxpy(long, float, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.CpuLevel1
 
saxpy(long, float, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.CpuLevel1
 
saxpy(double, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
 
saxpy(float, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
 
saxpy(double, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
 
saxpy(float, INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
 
saxpy(double, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
Deprecated.
saxpy(float, INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
Deprecated.
saxpy(long, float, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.jcublas.blas.JcublasLevel1
 
saxpy(long, float, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.jcublas.blas.JcublasLevel1
 
saxpyi(long, double, INDArray, DataBuffer, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
 
saxpyi(long, double, INDArray, DataBuffer, INDArray) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.SparseCpuLevel1
Adds a scalar multiple of float compressed sparse vector to a full-storage vector.
saxpyi(long, double, INDArray, DataBuffer, INDArray) - Method in class org.nd4j.linalg.jcublas.blas.JcusparseLevel1
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
 
sbeBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.HwDeviceInfoGroupEncoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.ModelParamNamesEncoder
 
sbeBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.SwEnvironmentInfoEncoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder.ExtraMetaDataBytesDecoder
 
sbeBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder.ExtraMetaDataBytesEncoder
 
sbeBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder.MetaDataBytesDecoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.LayerNamesDecoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.ParamNamesDecoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder.HistogramCountsDecoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.SummaryStatDecoder
 
sbeBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.DataSetMetaDataBytesEncoder.MetaDataBytesEncoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.DataSetMetaDataBytesEncoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.LayerNamesEncoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.MemoryUseEncoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.ParamNamesEncoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder.HistogramCountsEncoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.SummaryStatEncoder
 
sbeBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.HwDeviceInfoGroupEncoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.ModelParamNamesEncoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.SwEnvironmentInfoEncoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder.ExtraMetaDataBytesDecoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder.ExtraMetaDataBytesEncoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder.MetaDataBytesDecoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.LayerNamesDecoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.ParamNamesDecoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder.HistogramCountsDecoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.SummaryStatDecoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.DataSetMetaDataBytesEncoder.MetaDataBytesEncoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.DataSetMetaDataBytesEncoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.LayerNamesEncoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.MemoryUseEncoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.ParamNamesEncoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder.HistogramCountsEncoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.SummaryStatEncoder
 
sbeSchemaId() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
sbeSchemaId() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
sbeSchemaId() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
sbeSchemaId() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
sbeSchemaId() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
sbeSchemaId() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
sbeSchemaVersion() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
sbeSchemaVersion() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
sbeSchemaVersion() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
sbeSchemaVersion() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
sbeSchemaVersion() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
sbeSchemaVersion() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
sbeSemanticType() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
sbeSemanticType() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
sbeSemanticType() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
sbeSemanticType() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
sbeSemanticType() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
sbeSemanticType() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
SbeStatsInitializationReport - Class in org.deeplearning4j.ui.stats.impl
An implementation of StatsInitializationReport using Simple Binary Encoding (SBE)
SbeStatsInitializationReport() - Constructor for class org.deeplearning4j.ui.stats.impl.SbeStatsInitializationReport
 
SbeStatsReport - Class in org.deeplearning4j.ui.stats.impl
An implementation of StatsReport using Simple Binary Encoding (SBE)
SbeStatsReport() - Constructor for class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
SbeStorageMetaData - Class in org.deeplearning4j.ui.storage.impl
SbeStorageMetaData: stores information about a given session: for example, the types of the static and update information.
SbeStorageMetaData() - Constructor for class org.deeplearning4j.ui.storage.impl.SbeStorageMetaData
 
SbeStorageMetaData(long, String, String, String, Class<?>, Class<?>) - Constructor for class org.deeplearning4j.ui.storage.impl.SbeStorageMetaData
 
SbeStorageMetaData(long, String, String, String, String, String) - Constructor for class org.deeplearning4j.ui.storage.impl.SbeStorageMetaData
 
SbeStorageMetaData(long, String, String, String, String, String, Serializable) - Constructor for class org.deeplearning4j.ui.storage.impl.SbeStorageMetaData
 
sbeTemplateId() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
sbeTemplateId() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
sbeTemplateId() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
sbeTemplateId() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
sbeTemplateId() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
sbeTemplateId() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
SbeUtil - Class in org.deeplearning4j.ui.stats.impl
sbmv(char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
sbmv computes a matrix-vector product using a symmetric band matrix: y := alpha*a*x + beta*y.
sbmv(char, char, double, INDArray, INDArray, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel2
 
sbmv(char, char, double, INDArray, INDArray, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level2
sbmv computes a matrix-vector product using a symmetric band matrix: y := alpha*a*x + beta*y.
scal(long, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
computes a vector by a scalar product.
scal(long, double, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
Computes the product of a vector by a scalar.
scal(long, double, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level1
computes a vector by a scalar product.
scal(double, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
 
scal(float, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
 
scal(double, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
 
scal(float, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
 
scal(double, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
Deprecated.
scal(float, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
Deprecated.
scalar(String, double) - Method in class org.nd4j.autodiff.samediff.SameDiff
Create a new scalar (rank 0) SDVariable with the specified value
scalar() - Method in class org.nd4j.graph.FlatNode
 
SCALAR - Static variable in class org.nd4j.graph.OpType
 
scalar() - Method in class org.nd4j.linalg.api.ops.BaseScalarOp
 
scalar() - Method in interface org.nd4j.linalg.api.ops.ScalarOp
The normal scalar
scalar(Number, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
Create a scalar ndarray with the specified offset
scalar(float, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
Create a scalar nd array with the specified value and offset
scalar(double, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
Create a scalar nd array with the specified value and offset
scalar(int, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
Create a scalar nd array with the specified value and offset
scalar(Number) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
Create a scalar ndarray with the specified offset
scalar(float) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
Create a scalar nd array with the specified value and offset
scalar(double) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
Create a scalar nd array with the specified value and offset
scalar(Number, long) - Static method in class org.nd4j.linalg.factory.Nd4j
Create a scalar ndarray with the specified offset
scalar(double, long) - Static method in class org.nd4j.linalg.factory.Nd4j
Create a scalar nd array with the specified value and offset
scalar(float, long) - Static method in class org.nd4j.linalg.factory.Nd4j
Create a scalar nd array with the specified value and offset
scalar(Number) - Static method in class org.nd4j.linalg.factory.Nd4j
Create a scalar ndarray with the specified offset
scalar(double) - Static method in class org.nd4j.linalg.factory.Nd4j
Create a scalar nd array with the specified value and offset
scalar(float) - Static method in class org.nd4j.linalg.factory.Nd4j
Create a scalar nd array with the specified value and offset
scalar(Number, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Create a scalar ndarray with the specified offset
scalar(float, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Create a scalar nd array with the specified value and offset
scalar(double, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Create a scalar nd array with the specified value and offset
scalar(int, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
 
scalar(Number) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Create a scalar ndarray with the specified offset
scalar(float) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Create a scalar nd array with the specified value and offset
scalar(double) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Create a scalar nd array with the specified value and offset
scalar(double) - Static method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
scalar(float) - Static method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
scalar(short) - Static method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
scalar(double) - Static method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
scalar(float) - Static method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
scalar(short) - Static method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
ScalarAdd - Class in org.nd4j.linalg.api.ops.impl.scalar
Scalar addition
ScalarAdd() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarAdd
 
ScalarAdd(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarAdd
 
ScalarAdd(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarAdd
 
ScalarAdd(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarAdd
 
ScalarAdd(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarAdd
 
ScalarAdd(SameDiff, SDVariable, Number, boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarAdd
 
ScalarAdd(SameDiff, SDVariable, Number, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarAdd
 
ScalarDivision - Class in org.nd4j.linalg.api.ops.impl.scalar
Scalar division
ScalarDivision() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarDivision
 
ScalarDivision(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarDivision
 
ScalarDivision(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarDivision
 
ScalarDivision(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarDivision
 
ScalarDivision(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarDivision
 
ScalarDivision(SameDiff, SDVariable, Number, boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarDivision
 
ScalarDivision(SameDiff, SDVariable, Number, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarDivision
 
ScalarEquals - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison
Return a binary (0 or 1) when greater than a number
ScalarEquals() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals
 
ScalarEquals(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals
 
ScalarEquals(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals
 
ScalarEquals(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals
 
ScalarEquals(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals
 
ScalarEquals(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals
 
ScalarEquals(SameDiff, SDVariable, Number, boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals
 
ScalarEquals(SameDiff, SDVariable, Number, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals
 
scalarEquals(int[], int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
Returns true if the given shapes are both scalars (0 dimension or shape[0] == 1)
scalarEquals(long[], long[]) - Static method in class org.nd4j.linalg.api.shape.Shape
 
scalarFloorMod(SDVariable, Number) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
scalarFloorMod(SDVariable, Number) - Method in class org.nd4j.autodiff.samediff.SameDiff
Element-wise scalar floor modulus operation: out = floorMod(in, value).
scalarFloorMod(String, SDVariable, Number) - Method in class org.nd4j.autodiff.samediff.SameDiff
Element-wise scalar floor modulus operation: out = floorMod(in, value).
ScalarFMod - Class in org.nd4j.linalg.api.ops.impl.scalar
Scalar floating-point remainder (fmod aka 'floormod')
ScalarFMod() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarFMod
 
ScalarFMod(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarFMod
 
ScalarFMod(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarFMod
 
ScalarFMod(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarFMod
 
ScalarGreaterThan - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison
Return a binary (0 or 1) when greater than a number
ScalarGreaterThan() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThan
 
ScalarGreaterThan(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThan
 
ScalarGreaterThan(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThan
 
ScalarGreaterThan(SameDiff, SDVariable, Number, boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThan
 
ScalarGreaterThan(SameDiff, SDVariable, Number, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThan
 
ScalarGreaterThan(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThan
 
ScalarGreaterThan(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThan
 
ScalarGreaterThanOrEqual - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison
Return a binary (0 or 1) when greater than or equal to a number
ScalarGreaterThanOrEqual() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThanOrEqual
 
ScalarGreaterThanOrEqual(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThanOrEqual
 
ScalarGreaterThanOrEqual(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThanOrEqual
 
ScalarGreaterThanOrEqual(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThanOrEqual
 
ScalarGreaterThanOrEqual(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThanOrEqual
 
ScalarGreaterThanOrEqual(SameDiff, SDVariable, Number, boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThanOrEqual
 
ScalarGreaterThanOrEqual(SameDiff, SDVariable, Number, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThanOrEqual
 
ScalarLessThan - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison
Return a binary (0 or 1) when less than a number
ScalarLessThan() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThan
 
ScalarLessThan(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThan
 
ScalarLessThan(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThan
 
ScalarLessThan(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThan
 
ScalarLessThanOrEqual - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison
Return a binary (0 or 1) when less than or equal to a number
ScalarLessThanOrEqual(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThanOrEqual
 
ScalarLessThanOrEqual(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThanOrEqual
 
ScalarLessThanOrEqual() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThanOrEqual
 
ScalarLessThanOrEqual(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThanOrEqual
 
ScalarLessThanOrEqual(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThanOrEqual
 
scalarMax(SDVariable, Number) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
scalarMax(SDVariable, Number) - Method in class org.nd4j.autodiff.samediff.SameDiff
Element-wise scalar maximum operation: out = max(in, value)
scalarMax(String, SDVariable, Number) - Method in class org.nd4j.autodiff.samediff.SameDiff
Element-wise scalar maximum operation: out = max(in, value)
ScalarMax - Class in org.nd4j.linalg.api.ops.impl.scalar
Scalar max operation.
ScalarMax() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMax
 
ScalarMax(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMax
 
ScalarMax(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMax
 
ScalarMax(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMax
 
scalarMin(SDVariable, Number) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
scalarMin(SDVariable, Number) - Method in class org.nd4j.autodiff.samediff.SameDiff
Element-wise scalar minimum operation: out = min(in, value)
scalarMin(String, SDVariable, Number) - Method in class org.nd4j.autodiff.samediff.SameDiff
Element-wise scalar minimum operation: out = min(in, value)
ScalarMin - Class in org.nd4j.linalg.api.ops.impl.scalar
Scalar max operation.
ScalarMin() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMin
 
ScalarMin(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMin
 
ScalarMin(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMin
 
ScalarMin(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMin
 
ScalarMultiplication - Class in org.nd4j.linalg.api.ops.impl.scalar
Scalar multiplication
ScalarMultiplication() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMultiplication
 
ScalarMultiplication(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMultiplication
 
ScalarMultiplication(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMultiplication
 
ScalarMultiplication(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMultiplication
 
ScalarMultiplication(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMultiplication
 
ScalarMultiplication(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMultiplication
 
ScalarMultiplication(SameDiff, SDVariable, Number, boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMultiplication
 
ScalarMultiplication(SameDiff, SDVariable, Number, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarMultiplication
 
ScalarNotEquals - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison
Return a binary (0 or 1) when greater than a number
ScalarNotEquals() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNotEquals
 
ScalarNotEquals(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNotEquals
 
ScalarNotEquals(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNotEquals
 
ScalarNotEquals(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNotEquals
 
ScalarNotEquals(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNotEquals
 
ScalarNotEquals(SameDiff, SDVariable, Number, boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNotEquals
 
ScalarNotEquals(SameDiff, SDVariable, Number, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNotEquals
 
ScalarOp - Interface in org.nd4j.linalg.api.ops
Applies a scalar along a bigger input array.
ScalarRemainder - Class in org.nd4j.linalg.api.ops.impl.scalar
Scalar floating-point remainder
ScalarRemainder() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarRemainder
 
ScalarRemainder(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarRemainder
 
ScalarRemainder(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarRemainder
 
ScalarRemainder(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarRemainder
 
ScalarRemainder(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarRemainder
 
ScalarRemainder(SameDiff, SDVariable, Number, boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarRemainder
 
ScalarRemainder(SameDiff, SDVariable, Number, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarRemainder
 
ScalarReverseDivision - Class in org.nd4j.linalg.api.ops.impl.scalar
Scalar reverse division
ScalarReverseDivision() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseDivision
 
ScalarReverseDivision(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseDivision
 
ScalarReverseDivision(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseDivision
 
ScalarReverseDivision(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseDivision
 
ScalarReverseDivision(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseDivision
 
ScalarReverseDivision(SameDiff, SDVariable, Number, boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseDivision
 
ScalarReverseDivision(SameDiff, SDVariable, Number, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseDivision
 
ScalarReverseSubtraction - Class in org.nd4j.linalg.api.ops.impl.scalar
Scalar reverse subtraction
ScalarReverseSubtraction() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseSubtraction
 
ScalarReverseSubtraction(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseSubtraction
 
ScalarReverseSubtraction(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseSubtraction
 
ScalarReverseSubtraction(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseSubtraction
 
ScalarReverseSubtraction(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseSubtraction
 
ScalarReverseSubtraction(SameDiff, SDVariable, Number, boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseSubtraction
 
ScalarReverseSubtraction(SameDiff, SDVariable, Number, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseSubtraction
 
scalarSet(SDVariable, Number) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
scalarSet(SDVariable, Number) - Method in class org.nd4j.autodiff.samediff.SameDiff
Return an array with equal shape to the input, but all elements set to value 'set'
scalarSet(String, SDVariable, Number) - Method in class org.nd4j.autodiff.samediff.SameDiff
Return an arary with equal shape to the input, but all elements set to value 'set'
ScalarSet - Class in org.nd4j.linalg.api.ops.impl.scalar
Scalar max operation.
ScalarSet() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSet
 
ScalarSet(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSet
 
ScalarSet(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSet
 
ScalarSet(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSet
 
ScalarSet(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSet
 
ScalarSet(SameDiff, SDVariable, Number, boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSet
 
ScalarSet(SameDiff, SDVariable, Number, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSet
 
ScalarSetValue - Class in org.nd4j.linalg.api.ops.impl.scalar.comparison
Scalar value set operation.
ScalarSetValue(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarSetValue
 
ScalarSetValue(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarSetValue
 
ScalarSetValue(SameDiff, SDVariable, Number, boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarSetValue
 
ScalarSetValue(SameDiff, SDVariable, Number, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarSetValue
 
ScalarSetValue() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarSetValue
 
ScalarSetValue(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarSetValue
 
ScalarSetValue(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarSetValue
 
ScalarSubtraction - Class in org.nd4j.linalg.api.ops.impl.scalar
Scalar subtraction
ScalarSubtraction() - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSubtraction
 
ScalarSubtraction(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSubtraction
 
ScalarSubtraction(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSubtraction
 
ScalarSubtraction(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSubtraction
 
ScalarSubtraction(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSubtraction
 
ScalarSubtraction(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSubtraction
 
ScalarSubtraction(SameDiff, SDVariable, Number, boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSubtraction
 
ScalarSubtraction(SameDiff, SDVariable, Number, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.scalar.ScalarSubtraction
 
scalarValue - Variable in class org.nd4j.autodiff.functions.DifferentialFunction
 
scale(int) - Method in class org.deeplearning4j.nn.conf.memory.LayerMemoryReport
Multiply all memory usage by the specified scaling factor
scale() - Method in interface org.nd4j.linalg.dataset.api.DataSet
 
scale() - Method in class org.nd4j.linalg.dataset.DataSet
Divides the input data transform by the max number in each row
scaleByMax(INDArray) - Static method in class org.nd4j.linalg.util.FeatureUtil
Divides each row by its max
scaleFactor - Variable in class org.deeplearning4j.nn.conf.graph.ScaleVertex
 
scaleFactor - Variable in class org.deeplearning4j.rl4j.mdp.ale.ALEMDP
 
scaleFactor - Variable in class org.deeplearning4j.rl4j.mdp.vizdoom.VizDoom
 
scaleH - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling2d
 
scaleH - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling2dDerivative
 
scaleImageTransform(float) - Method in class org.datavec.image.transform.ImageTransformProcess.Builder
 
scaleImageTransform(float, float) - Method in class org.datavec.image.transform.ImageTransformProcess.Builder
 
ScaleImageTransform - Class in org.datavec.image.transform
ScaleImageTransform is aim to scale by a certain random factor, not the final size of the image.
ScaleImageTransform(float) - Constructor for class org.datavec.image.transform.ScaleImageTransform
Calls this(null, delta, delta).
ScaleImageTransform(Random, float) - Constructor for class org.datavec.image.transform.ScaleImageTransform
Calls this(random, delta, delta).
ScaleImageTransform(float, float) - Constructor for class org.datavec.image.transform.ScaleImageTransform
Calls this(null, dx, dy).
ScaleImageTransform(Random, float, float) - Constructor for class org.datavec.image.transform.ScaleImageTransform
Constructs an instance of the ImageTransform.
scaleMinAndMax(double, double) - Method in interface org.nd4j.linalg.dataset.api.DataSet
 
scaleMinAndMax(double, double) - Method in class org.nd4j.linalg.dataset.DataSet
 
scaleMinMax(double, double, INDArray) - Static method in class org.nd4j.linalg.util.FeatureUtil
Scales the ndarray columns to the given min/max values
ScaleVertex - Class in org.deeplearning4j.nn.conf.graph
A ScaleVertex is used to scale the size of activations of a single layer
For example, ResNet activations can be scaled in repeating blocks to keep variance under control.
ScaleVertex(double) - Constructor for class org.deeplearning4j.nn.conf.graph.ScaleVertex
 
ScaleVertex - Class in org.deeplearning4j.nn.graph.vertex.impl
A ScaleVertex is used to scale the size of activations of a single layer
For example, ResNet activations can be scaled in repeating blocks to keep variance under control.
ScaleVertex(ComputationGraph, String, int, double) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.ScaleVertex
 
ScaleVertex(ComputationGraph, String, int, VertexIndices[], VertexIndices[], double) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.ScaleVertex
 
scaleW - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling2d
 
scaleW - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling2dDerivative
 
scalingFactor - Variable in class org.datavec.api.transform.transform.doubletransform.Log2Normalizer
 
scalingIfNeed(BufferedImage, boolean) - Method in class org.datavec.image.loader.ImageLoader
 
scalingIfNeed(BufferedImage, long, long, boolean) - Method in class org.datavec.image.loader.ImageLoader
 
scalingIfNeed(opencv_core.Mat) - Method in class org.datavec.image.loader.NativeImageLoader
 
scalingIfNeed(opencv_core.Mat, long, long) - Method in class org.datavec.image.loader.NativeImageLoader
 
scan(Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
scan(Condition) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
scan(Condition) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
This method takes boolean condition, and returns number of elements matching this condition
scanForLeaves(List<RPNode>, RPTree) - Static method in class org.deeplearning4j.clustering.randomprojection.RPUtils
Scan for leaves accumulating the nodes in the passed in list
scanForLeaves(List<RPNode>, RPNode) - Static method in class org.deeplearning4j.clustering.randomprojection.RPUtils
Scan for leaves accumulating the nodes in the passed in list
scatter(SDVariable, int...) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayV3
 
scatter(SDVariable, SDVariable) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayV3
 
scatterAdd(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
scatterAdd(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
scatterAdd(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Scatter addition operation.
If indices is rank 0 (a scalar), then out[index, ...] += updates[...]
If indices is rank 1 (a vector), then for each position i, out[indices[i], ...] += updates[i, ...]
If indices is rank 2+, then for each position (i,...,k), out[indices[i], ..., indices[k], ...] += updates[i, ..., k, ...]
Note that if multiple indices refer to the same location, the contributions from each is handled correctly.
ScatterAdd - Class in org.nd4j.linalg.api.ops.impl.scatter
Created by farizrahman4u on 3/23/18.
ScatterAdd(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterAdd
 
ScatterAdd() - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterAdd
 
scatterDiv(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
scatterDiv(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
scatterDiv(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Scatter division operation.
If indices is rank 0 (a scalar), then out[index, ...] /= updates[...]
If indices is rank 1 (a vector), then for each position i, out[indices[i], ...] /= updates[i, ...]
If indices is rank 2+, then for each position (i,...,k), out[indices[i], ..., indices[k], ...] /= updates[i, ..., k, ...]
Note that if multiple indices refer to the same location, the contributions from each is handled correctly.
ScatterDiv - Class in org.nd4j.linalg.api.ops.impl.scatter
Created by farizrahman4u on 3/23/18.
ScatterDiv(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterDiv
 
ScatterDiv() - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterDiv
 
scatterMax(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
scatterMax(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
scatterMax(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Scatter max operation.
If indices is rank 0 (a scalar), then out[index, ...] = max(updates[...], in[index,...])
If indices is rank 1 (a vector), then for each position i, out[indices[i], ...] = max(updates[i,...], in[indices[i],...])
If indices is rank 2+, then for each position (i,...,k), out[indices[i], ..., indices[k], ...] = max(updates[i, ..., k, ...], in[indices[i], ..., indices[k], ...]
Note that if multiple indices refer to the same location, the contributions from each is handled correctly.
ScatterMax - Class in org.nd4j.linalg.api.ops.impl.scatter
 
ScatterMax(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterMax
 
ScatterMax() - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterMax
 
scatterMin(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
scatterMin(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
scatterMin(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Scatter min operation.
If indices is rank 0 (a scalar), then out[index, ...] = min(updates[...], in[index,...])
If indices is rank 1 (a vector), then for each position i, out[indices[i], ...] = min(updates[i,...], in[indices[i],...])
If indices is rank 2+, then for each position (i,...,k), out[indices[i], ..., indices[k], ...] = min(updates[i, ..., k, ...], in[indices[i], ..., indices[k], ...]
Note that if multiple indices refer to the same location, the contributions from each is handled correctly.
ScatterMin - Class in org.nd4j.linalg.api.ops.impl.scatter
 
ScatterMin(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterMin
 
ScatterMin() - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterMin
 
scatterMul(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
scatterMul(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
scatterMul(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Scatter multiplication operation.
If indices is rank 0 (a scalar), then out[index, ...] *= updates[...]
If indices is rank 1 (a vector), then for each position i, out[indices[i], ...] *= updates[i, ...]
If indices is rank 2+, then for each position (i,...,k), out[indices[i], ..., indices[k], ...] *= updates[i, ..., k, ...]
Note that if multiple indices refer to the same location, the contributions from each is handled correctly.
ScatterMul - Class in org.nd4j.linalg.api.ops.impl.scatter
Created by farizrahman4u on 3/23/18.
ScatterMul(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterMul
 
ScatterMul() - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterMul
 
scatterSub(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
scatterSub(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
scatterSub(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Scatter subtraction operation.
If indices is rank 0 (a scalar), then out[index, ...] -= updates[...]
If indices is rank 1 (a vector), then for each position i, out[indices[i], ...] -= updates[i, ...]
If indices is rank 2+, then for each position (i,...,k), out[indices[i], ..., indices[k], ...] -= updates[i, ..., k, ...]
Note that if multiple indices refer to the same location, the contributions from each is handled correctly.
ScatterSub - Class in org.nd4j.linalg.api.ops.impl.scatter
Created by farizrahman4u on 3/23/18.
ScatterSub(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterSub
 
ScatterSub() - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterSub
 
scatterUpdate(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
scatterUpdate(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
scatterUpdate(String, SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Scatter update operation.
If indices is rank 0 (a scalar), then out[index, ...] = updates[...]
If indices is rank 1 (a vector), then for each position i, out[indices[i], ...] = updates[i, ...]
If indices is rank 2+, then for each position (i,...,k), out[indices[i], ..., indices[k], ...] = updates[i, ..., k, ...]
Note that if multiple indices refer to the same location, the output at those locations is undefined - different updates may occur in different orders
ScatterUpdate - Class in org.nd4j.linalg.api.ops.custom
 
ScatterUpdate(INDArray, INDArray, int[], int[], ScatterUpdate.UpdateOp) - Constructor for class org.nd4j.linalg.api.ops.custom.ScatterUpdate
 
ScatterUpdate(INDArray, INDArray, INDArray, int[], int[], ScatterUpdate.UpdateOp) - Constructor for class org.nd4j.linalg.api.ops.custom.ScatterUpdate
 
ScatterUpdate - Class in org.nd4j.linalg.api.ops.impl.scatter
Scatter update op
ScatterUpdate(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterUpdate
 
ScatterUpdate() - Constructor for class org.nd4j.linalg.api.ops.impl.scatter.ScatterUpdate
 
ScatterUpdate.UpdateOp - Enum in org.nd4j.linalg.api.ops.custom
 
scavengerActivationThreshold(int) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder.Builder
Activation threshold defines, how ofter scavenger will be executed, to throw away low-frequency keywords.
scavengerRetentionDelay(int) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache.Builder
 
scavengerRetentionDelay(int) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder.Builder
Retention delay defines, how long low-freq word will be kept in vocab, during building.
scavengerThreshold - Variable in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache.Builder
 
scavengerThreshold(int) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache.Builder
 
SCHEDULED_MICROS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NodeExecStats
 
scheduleToe() - Method in class org.nd4j.jita.allocator.concurrency.AtomicState
This method schedules Toe state entry, but doesn't enters it.
ScheduleType - Enum in org.nd4j.linalg.schedule
 
schema - Variable in class org.datavec.api.transform.condition.column.BaseColumnCondition
 
schema - Variable in class org.datavec.api.transform.filter.BaseColumnFilter
 
Schema - Class in org.datavec.api.transform.schema
A Schema defines the layout of tabular data.
Schema(Schema.Builder) - Constructor for class org.datavec.api.transform.schema.Schema
 
Schema(List<ColumnMetaData>) - Constructor for class org.datavec.api.transform.schema.Schema
Create a schema based on the given metadata
schema - Variable in class org.datavec.api.transform.sequence.comparator.BaseColumnComparator
 
Schema.Builder - Class in org.datavec.api.transform.schema
 
SCHEMA_ID - Static variable in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
SCHEMA_ID - Static variable in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
SCHEMA_ID - Static variable in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
SCHEMA_ID - Static variable in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
SCHEMA_ID - Static variable in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
SCHEMA_ID - Static variable in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
SCHEMA_VERSION - Static variable in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
SCHEMA_VERSION - Static variable in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
SCHEMA_VERSION - Static variable in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
SCHEMA_VERSION - Static variable in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
SCHEMA_VERSION - Static variable in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
SCHEMA_VERSION - Static variable in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
schemaBuilder - Variable in class org.datavec.api.transform.schema.InferredSchema
 
SchemaHelper() - Constructor for class org.datavec.api.transform.serde.legacy.LegacyMappingHelper.SchemaHelper
 
schemaId() - Method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderDecoder
 
schemaId(int) - Method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderEncoder
 
schemaIdMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderDecoder
 
schemaIdMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderEncoder
 
schemaIdMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderDecoder
 
schemaIdMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderEncoder
 
schemaIdNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderDecoder
 
schemaIdNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderEncoder
 
SCOMPLEX_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorProto
 
sconv2d(SDVariable[], Conv2DConfig) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
Separable Conv2d operation.
sconv2d(SDVariable[], Conv2DConfig) - Method in class org.nd4j.autodiff.samediff.SameDiff
Separable 2D convolution operation with/without optional bias
sconv2d(String, SDVariable[], Conv2DConfig) - Method in class org.nd4j.autodiff.samediff.SameDiff
Separable 2D convolution operation with/without optional bias
SConv2D - Class in org.nd4j.linalg.api.ops.impl.layers.convolution
Separable convolution 2D operation
SConv2D(SameDiff, SDVariable[], INDArray[], INDArray[], Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2D
 
SConv2D() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2D
 
SConv2DDerivative - Class in org.nd4j.linalg.api.ops.impl.layers.convolution
SConv2DDerivative operation
SConv2DDerivative(SameDiff, SDVariable[], INDArray[], INDArray[], Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2DDerivative
 
SConv2DDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2DDerivative
 
scoomv(char, int, DataBuffer, DataBuffer, DataBuffer, int, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel2
 
scoomv(char, int, DataBuffer, DataBuffer, DataBuffer, int, INDArray, INDArray) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.SparseCpuLevel2
 
scoomv(char, int, DataBuffer, DataBuffer, DataBuffer, int, INDArray, INDArray) - Method in class org.nd4j.linalg.jcublas.blas.JcusparseLevel2
 
scopeId() - Method in class org.nd4j.graph.FlatNode
 
scopeIn() - Method in class org.nd4j.nativeblas.Nd4jCpu.Workspace
 
scopeIn() - Method in class org.nd4j.nativeblas.Nd4jCuda.Workspace
 
scopeName() - Method in class org.nd4j.graph.FlatNode
 
scopeNameAsByteBuffer() - Method in class org.nd4j.graph.FlatNode
 
scopeOut() - Method in class org.nd4j.nativeblas.Nd4jCpu.Workspace
 
scopeOut() - Method in class org.nd4j.nativeblas.Nd4jCuda.Workspace
 
scopeOutOfWorkspaces() - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspaceManager
This method temporary opens block out of any workspace scope.
scopeOutOfWorkspaces() - Method in class org.nd4j.linalg.memory.BasicMemoryManager
 
scopeOutOfWorkspaces() - Method in interface org.nd4j.linalg.memory.MemoryManager
This method temporary opens block out of any workspace scope.
scopeOutOfWorkspaces() - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
This method temporary opens block out of any workspace scope.
scopeOutOfWs - Variable in class org.nd4j.linalg.workspace.BaseWorkspaceMgr
 
scopy(long, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
 
scopy(long, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
 
scopy(long, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.CpuLevel1
 
scopy(long, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.CpuLevel1
 
scopy(long, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.jcublas.blas.JcublasLevel1
 
scopy(long, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.jcublas.blas.JcublasLevel1
 
score() - Method in class org.ansj.domain.Term
 
score(double) - Method in class org.ansj.domain.Term
 
score - Variable in class org.ansj.recognition.impl.NatureRecognition.NatureTerm
 
score(Object, DataProvider, Map<String, Object>) - Method in interface org.deeplearning4j.arbiter.optimize.api.score.ScoreFunction
Calculate and return the score, for the given model and data provider
score(Object, Class<? extends DataSource>, Properties) - Method in interface org.deeplearning4j.arbiter.optimize.api.score.ScoreFunction
Calculate and return the score, for the given model and data provider
score(Object, DataProvider, Map<String, Object>) - Method in class org.deeplearning4j.arbiter.scoring.impl.BaseNetScoreFunction
 
score(Object, Class<? extends DataSource>, Properties) - Method in class org.deeplearning4j.arbiter.scoring.impl.BaseNetScoreFunction
 
score(Object, Object) - Method in class org.deeplearning4j.arbiter.scoring.impl.BaseNetScoreFunction
 
score(MultiLayerNetwork, DataSetIterator) - Method in class org.deeplearning4j.arbiter.scoring.impl.BaseNetScoreFunction
 
score(MultiLayerNetwork, MultiDataSetIterator) - Method in class org.deeplearning4j.arbiter.scoring.impl.BaseNetScoreFunction
 
score(ComputationGraph, DataSetIterator) - Method in class org.deeplearning4j.arbiter.scoring.impl.BaseNetScoreFunction
 
score(ComputationGraph, MultiDataSetIterator) - Method in class org.deeplearning4j.arbiter.scoring.impl.BaseNetScoreFunction
 
score(MultiLayerNetwork, DataSetIterator) - Method in class org.deeplearning4j.arbiter.scoring.impl.EvaluationScoreFunction
 
score(MultiLayerNetwork, MultiDataSetIterator) - Method in class org.deeplearning4j.arbiter.scoring.impl.EvaluationScoreFunction
 
score(ComputationGraph, DataSetIterator) - Method in class org.deeplearning4j.arbiter.scoring.impl.EvaluationScoreFunction
 
score(ComputationGraph, MultiDataSetIterator) - Method in class org.deeplearning4j.arbiter.scoring.impl.EvaluationScoreFunction
 
score(MultiLayerNetwork, DataSetIterator) - Method in class org.deeplearning4j.arbiter.scoring.impl.RegressionScoreFunction
 
score(MultiLayerNetwork, MultiDataSetIterator) - Method in class org.deeplearning4j.arbiter.scoring.impl.RegressionScoreFunction
 
score(ComputationGraph, DataSetIterator) - Method in class org.deeplearning4j.arbiter.scoring.impl.RegressionScoreFunction
 
score(ComputationGraph, MultiDataSetIterator) - Method in class org.deeplearning4j.arbiter.scoring.impl.RegressionScoreFunction
 
score(MultiLayerNetwork, DataSetIterator) - Method in class org.deeplearning4j.arbiter.scoring.impl.ROCScoreFunction
 
score(MultiLayerNetwork, MultiDataSetIterator) - Method in class org.deeplearning4j.arbiter.scoring.impl.ROCScoreFunction
 
score(ComputationGraph, DataSetIterator) - Method in class org.deeplearning4j.arbiter.scoring.impl.ROCScoreFunction
 
score(ComputationGraph, MultiDataSetIterator) - Method in class org.deeplearning4j.arbiter.scoring.impl.ROCScoreFunction
 
score(MultiLayerNetwork, DataSetIterator) - Method in class org.deeplearning4j.arbiter.scoring.impl.TestSetAccuracyScoreFunction
Deprecated.
 
score(MultiLayerNetwork, MultiDataSetIterator) - Method in class org.deeplearning4j.arbiter.scoring.impl.TestSetAccuracyScoreFunction
Deprecated.
 
score(ComputationGraph, DataSetIterator) - Method in class org.deeplearning4j.arbiter.scoring.impl.TestSetAccuracyScoreFunction
Deprecated.
 
score(ComputationGraph, MultiDataSetIterator) - Method in class org.deeplearning4j.arbiter.scoring.impl.TestSetAccuracyScoreFunction
Deprecated.
 
score(MultiLayerNetwork, DataSetIterator) - Method in class org.deeplearning4j.arbiter.scoring.impl.TestSetF1ScoreFunction
Deprecated.
 
score(MultiLayerNetwork, MultiDataSetIterator) - Method in class org.deeplearning4j.arbiter.scoring.impl.TestSetF1ScoreFunction
Deprecated.
 
score(ComputationGraph, DataSetIterator) - Method in class org.deeplearning4j.arbiter.scoring.impl.TestSetF1ScoreFunction
Deprecated.
 
score(ComputationGraph, MultiDataSetIterator) - Method in class org.deeplearning4j.arbiter.scoring.impl.TestSetF1ScoreFunction
Deprecated.
 
score(MultiLayerNetwork, DataSetIterator) - Method in class org.deeplearning4j.arbiter.scoring.impl.TestSetLossScoreFunction
 
score(MultiLayerNetwork, MultiDataSetIterator) - Method in class org.deeplearning4j.arbiter.scoring.impl.TestSetLossScoreFunction
 
score(ComputationGraph, DataSetIterator) - Method in class org.deeplearning4j.arbiter.scoring.impl.TestSetLossScoreFunction
 
score(ComputationGraph, MultiDataSetIterator) - Method in class org.deeplearning4j.arbiter.scoring.impl.TestSetLossScoreFunction
 
score(MultiLayerNetwork, DataSetIterator) - Method in class org.deeplearning4j.arbiter.scoring.impl.TestSetRegressionScoreFunction
Deprecated.
 
score(MultiLayerNetwork, MultiDataSetIterator) - Method in class org.deeplearning4j.arbiter.scoring.impl.TestSetRegressionScoreFunction
Deprecated.
 
score(ComputationGraph, DataSetIterator) - Method in class org.deeplearning4j.arbiter.scoring.impl.TestSetRegressionScoreFunction
Deprecated.
 
score(ComputationGraph, MultiDataSetIterator) - Method in class org.deeplearning4j.arbiter.scoring.impl.TestSetRegressionScoreFunction
Deprecated.
 
score(ComputationGraph, MultiDataSetIterator, boolean) - Static method in class org.deeplearning4j.arbiter.scoring.util.ScoreUtil
Score based on the loss function
score(ComputationGraph, DataSetIterator, boolean) - Static method in class org.deeplearning4j.arbiter.scoring.util.ScoreUtil
Score based on the loss function
score(ComputationGraph, MultiDataSetIterator, RegressionValue) - Static method in class org.deeplearning4j.arbiter.scoring.util.ScoreUtil
 
score(ComputationGraph, DataSetIterator, RegressionValue) - Static method in class org.deeplearning4j.arbiter.scoring.util.ScoreUtil
score(MultiLayerNetwork, DataSetIterator, boolean) - Static method in class org.deeplearning4j.arbiter.scoring.util.ScoreUtil
Score the given test data with the given multi layer network
score(MultiLayerNetwork, DataSetIterator, RegressionValue) - Static method in class org.deeplearning4j.arbiter.scoring.util.ScoreUtil
Score the given multi layer network
score(Double) - Method in class org.deeplearning4j.arbiter.ui.data.ModelInfoPersistable.Builder
 
score() - Method in interface org.deeplearning4j.nn.api.Model
The score for the model
score - Variable in class org.deeplearning4j.nn.graph.ComputationGraph
 
score(DataSet) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Sets the input and labels and returns a score for the prediction with respect to the true labels
This is equivalent to ComputationGraph.score(DataSet, boolean) with training==true.
NOTE: this version of the score function can only be used with ComputationGraph networks that have a single input and a single output.
score(DataSet, boolean) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Sets the input and labels and returns a score for the prediction with respect to the true labels
NOTE: this version of the score function can only be used with ComputationGraph networks that have a single input and a single output.
score(MultiDataSet) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Score the network given the MultiDataSet, at test time
score(MultiDataSet, boolean) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Sets the input and labels and returns a score for the prediction with respect to the true labels
score() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
score() - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
score - Variable in class org.deeplearning4j.nn.layers.BaseLayer
 
score() - Method in class org.deeplearning4j.nn.layers.BaseLayer
Objective function: the specified objective
score() - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToBatch
 
score() - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToDepth
 
score() - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.Subsampling3DLayer
 
score() - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingLayer
 
score() - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling2D
 
score() - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling3D
 
score() - Method in class org.deeplearning4j.nn.layers.objdetect.Yolo2OutputLayer
 
score() - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
score() - Method in class org.deeplearning4j.nn.layers.RepeatVector
 
score - Variable in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
score() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
score() - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
score(float[]) - Method in class org.deeplearning4j.nn.modelexport.solr.ltr.model.ScoringModel
 
score - Variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
score(DataSet) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Sets the input and labels and returns a score for the prediction with respect to the true labels
This is equivalent to MultiLayerNetwork.score(DataSet, boolean) with training==false.
score(DataSet, boolean) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Calculate the score (loss function) of the prediction with respect to the true labels
score() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Score of the model (relative to the objective function)
score() - Method in interface org.deeplearning4j.optimize.api.ConvexOptimizer
The score for the optimizer so far
score - Variable in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
score() - Method in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
score() - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
score(String) - Method in class org.deeplearning4j.text.corpora.sentiwordnet.SWN3
Scores the text
score(CAS) - Method in class org.deeplearning4j.text.corpora.sentiwordnet.SWN3
 
score(Sentence) - Method in class org.deeplearning4j.text.corpora.sentiwordnet.SWN3
 
score() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
score(double) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
score() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
 
score(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
 
SCORE_KEY - Static variable in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossCosineProximity
 
scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossHinge
 
scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL1
 
scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL2
 
scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAPE
 
scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSLE
 
scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMultiLabel
 
scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossPoisson
 
scoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.nd4j.linalg.lossfunctions.impl.LossSquaredHinge
 
scoreCalculator(ScoreCalculator) - Method in class org.deeplearning4j.earlystopping.EarlyStoppingConfiguration.Builder
Score calculator.
scoreCalculator(Supplier<ScoreCalculator>) - Method in class org.deeplearning4j.earlystopping.EarlyStoppingConfiguration.Builder
Score calculator.
ScoreCalculator<T extends Model> - Interface in org.deeplearning4j.earlystopping.scorecalc
ScoreCalculator interface is used to calculate a score for a neural network.
scoreElements - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors
 
scoreExamples(DataSet, boolean) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Calculate the score for each example in a DataSet individually.
scoreExamples(MultiDataSet, boolean) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Calculate the score for each example in a DataSet individually.
scoreExamples(DataSetIterator, boolean) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
scoreExamples(DataSet, boolean) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Calculate the score for each example in a DataSet individually.
scoreExamples(JavaRDD<DataSet>, boolean) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
scoreExamples(JavaRDD<DataSet>, boolean, int) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
scoreExamples(JavaPairRDD<K, DataSet>, boolean) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
scoreExamples(JavaPairRDD<K, DataSet>, boolean, int) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
scoreExamples(RDD<DataSet>, boolean) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
scoreExamples(JavaRDD<DataSet>, boolean) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
Score the examples individually, using the default batch size SparkDl4jMultiLayer.DEFAULT_EVAL_SCORE_BATCH_SIZE.
scoreExamples(RDD<DataSet>, boolean, int) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
scoreExamples(JavaRDD<DataSet>, boolean, int) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
Score the examples individually, using a specified batch size.
scoreExamples(JavaPairRDD<K, DataSet>, boolean) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
Score the examples individually, using the default batch size SparkDl4jMultiLayer.DEFAULT_EVAL_SCORE_BATCH_SIZE.
scoreExamples(JavaPairRDD<K, DataSet>, boolean, int) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
Score the examples individually, using a specified batch size.
ScoreExamplesFunction - Class in org.deeplearning4j.spark.impl.graph.scoring
Function to score examples individually.
ScoreExamplesFunction(Broadcast<INDArray>, Broadcast<String>, boolean, int) - Constructor for class org.deeplearning4j.spark.impl.graph.scoring.ScoreExamplesFunction
 
ScoreExamplesFunction - Class in org.deeplearning4j.spark.impl.multilayer.scoring
Function to score examples individually.
ScoreExamplesFunction(Broadcast<INDArray>, Broadcast<String>, boolean, int) - Constructor for class org.deeplearning4j.spark.impl.multilayer.scoring.ScoreExamplesFunction
 
scoreExamplesMultiDataSet(JavaRDD<MultiDataSet>, boolean) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Score the examples individually, using the default batch size SparkComputationGraph.DEFAULT_EVAL_SCORE_BATCH_SIZE.
scoreExamplesMultiDataSet(JavaRDD<MultiDataSet>, boolean, int) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Score the examples individually, using a specified batch size.
scoreExamplesMultiDataSet(JavaPairRDD<K, MultiDataSet>, boolean) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Score the examples individually, using the default batch size SparkComputationGraph.DEFAULT_EVAL_SCORE_BATCH_SIZE.
scoreExamplesMultiDataSet(JavaPairRDD<K, MultiDataSet>, boolean, int) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Score the examples individually, using a specified batch size.
ScoreExamplesWithKeyFunction<K> - Class in org.deeplearning4j.spark.impl.graph.scoring
Function to score examples individually, where each example is associated with a particular key
Note that scoring is batched for computational efficiency.
This is the Spark implementation of the ComputationGraph.scoreExamples(MultiDataSet, boolean) method
Note: The MultiDataSet objects passed in must have exactly one example in them (otherwise: can't have a 1:1 association between keys and data sets to score)
ScoreExamplesWithKeyFunction(Broadcast<INDArray>, Broadcast<String>, boolean, int) - Constructor for class org.deeplearning4j.spark.impl.graph.scoring.ScoreExamplesWithKeyFunction
 
ScoreExamplesWithKeyFunction<K> - Class in org.deeplearning4j.spark.impl.multilayer.scoring
Function to score examples individually, where each example is associated with a particular key
Note that scoring is batched for computational efficiency.
This is the Spark implementation of t he MultiLayerNetwork.scoreExamples(DataSet, boolean) method
Note: The DataSet objects passed in must have exactly one example in them (otherwise: can't have a 1:1 association between keys and data sets to score)
ScoreExamplesWithKeyFunction(Broadcast<INDArray>, Broadcast<String>, boolean, int) - Constructor for class org.deeplearning4j.spark.impl.multilayer.scoring.ScoreExamplesWithKeyFunction
 
ScoreFlatMapFunction - Class in org.deeplearning4j.spark.impl.multilayer.scoring
 
ScoreFlatMapFunction(String, Broadcast<INDArray>, int) - Constructor for class org.deeplearning4j.spark.impl.multilayer.scoring.ScoreFlatMapFunction
 
ScoreFlatMapFunctionCGDataSet - Class in org.deeplearning4j.spark.impl.graph.scoring
Function used to score a DataSet using a ComputationGraph
ScoreFlatMapFunctionCGDataSet(String, Broadcast<INDArray>, int) - Constructor for class org.deeplearning4j.spark.impl.graph.scoring.ScoreFlatMapFunctionCGDataSet
 
ScoreFlatMapFunctionCGMultiDataSet - Class in org.deeplearning4j.spark.impl.graph.scoring
Function used to score a MultiDataSet using a given ComputationGraph
ScoreFlatMapFunctionCGMultiDataSet(String, Broadcast<INDArray>, int) - Constructor for class org.deeplearning4j.spark.impl.graph.scoring.ScoreFlatMapFunctionCGMultiDataSet
 
scoreForMetric(Evaluation.Metric) - Method in class org.deeplearning4j.eval.Evaluation
 
scoreForMetric(RegressionEvaluation.Metric) - Method in class org.deeplearning4j.eval.RegressionEvaluation
 
ScoreFunction - Interface in org.deeplearning4j.arbiter.optimize.api.score
ScoreFunction defines the objective of hyperparameter optimization.
scoreFunction(ScoreFunction) - Method in class org.deeplearning4j.arbiter.optimize.config.OptimizationConfiguration.Builder
 
ScoreFunctions - Class in org.deeplearning4j.arbiter.scoring
ScoreFunctions provides static methods for getting score functions for DL4J MultiLayerNetwork and ComputationGraph
scoreId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
ScoreImprovementEpochTerminationCondition - Class in org.deeplearning4j.earlystopping.termination
Terminate training if best model score does not improve for N epochs
ScoreImprovementEpochTerminationCondition(int) - Constructor for class org.deeplearning4j.earlystopping.termination.ScoreImprovementEpochTerminationCondition
 
ScoreImprovementEpochTerminationCondition(int, double) - Constructor for class org.deeplearning4j.earlystopping.termination.ScoreImprovementEpochTerminationCondition
 
ScoreIterationListener - Class in org.deeplearning4j.optimize.listeners
Score iteration listener
ScoreIterationListener(int) - Constructor for class org.deeplearning4j.optimize.listeners.ScoreIterationListener
 
ScoreIterationListener() - Constructor for class org.deeplearning4j.optimize.listeners.ScoreIterationListener
Default constructor printing every 10 iterations
ScoreListener<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.listeners
Deprecated.
ScoreListener(ListenerEvent, int) - Constructor for class org.deeplearning4j.models.sequencevectors.listeners.ScoreListener
Deprecated.
 
scoreMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
scoreMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
scoreMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
scoreMinibatch(Model, INDArray, INDArray, INDArray, INDArray, INDArray) - Method in class org.deeplearning4j.earlystopping.scorecalc.AutoencoderScoreCalculator
 
scoreMinibatch(Model, INDArray[], INDArray[], INDArray[], INDArray[], INDArray[]) - Method in class org.deeplearning4j.earlystopping.scorecalc.AutoencoderScoreCalculator
 
scoreMinibatch(MultiLayerNetwork, INDArray[], INDArray[], INDArray[], INDArray[], INDArray[]) - Method in class org.deeplearning4j.earlystopping.scorecalc.base.BaseMLNScoreCalculator
 
scoreMinibatch(T, INDArray, INDArray, INDArray, INDArray, INDArray) - Method in class org.deeplearning4j.earlystopping.scorecalc.base.BaseScoreCalculator
 
scoreMinibatch(T, INDArray[], INDArray[], INDArray[], INDArray[], INDArray[]) - Method in class org.deeplearning4j.earlystopping.scorecalc.base.BaseScoreCalculator
 
scoreMinibatch(Model, INDArray[], INDArray[], INDArray[], INDArray[], INDArray[]) - Method in class org.deeplearning4j.earlystopping.scorecalc.DataSetLossCalculator
 
scoreMinibatch(Model, INDArray, INDArray, INDArray, INDArray, INDArray) - Method in class org.deeplearning4j.earlystopping.scorecalc.VAEReconErrorScoreCalculator
 
scoreMinibatch(Model, INDArray[], INDArray[], INDArray[], INDArray[], INDArray[]) - Method in class org.deeplearning4j.earlystopping.scorecalc.VAEReconErrorScoreCalculator
 
scoreMinibatch(Model, INDArray, INDArray, INDArray, INDArray, INDArray) - Method in class org.deeplearning4j.earlystopping.scorecalc.VAEReconProbScoreCalculator
 
scoreMinibatch(Model, INDArray[], INDArray[], INDArray[], INDArray[], INDArray[]) - Method in class org.deeplearning4j.earlystopping.scorecalc.VAEReconProbScoreCalculator
 
scoreMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
scoreMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
scoreNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
scoreNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
scoreSequences - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors
 
scoreSum - Variable in class org.deeplearning4j.earlystopping.scorecalc.base.BaseScoreCalculator
 
scoreTokens(List<Token>) - Method in class org.deeplearning4j.text.corpora.sentiwordnet.SWN3
 
ScoreUtil - Class in org.deeplearning4j.arbiter.scoring.util
Various utilities for functions used in arbiter.
ScoreUtil() - Constructor for class org.deeplearning4j.arbiter.scoring.util.ScoreUtil
 
scoreVsIter(int[], float[]) - Method in class org.deeplearning4j.arbiter.ui.data.ModelInfoPersistable.Builder
 
ScoringModel - Class in org.deeplearning4j.nn.modelexport.solr.ltr.model
ScoringModel(String, List<Feature>, List<Normalizer>, String, List<Feature>, Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelexport.solr.ltr.model.ScoringModel
 
screenBuffer - Variable in class vizdoom.GameState
 
ScreenFormat - Enum in vizdoom
 
ScreenResolution - Enum in vizdoom
 
SDIndex - Class in org.nd4j.autodiff.samediff
 
SDIndex() - Constructor for class org.nd4j.autodiff.samediff.SDIndex
 
SDIndex.IndexType - Enum in org.nd4j.autodiff.samediff
 
SDLayerParams - Class in org.deeplearning4j.nn.conf.layers.samediff
SDLayerParams is used to define the parameters for a Deeplearning4j SameDiff layer
SDLayerParams(Map<String, long[]>, Map<String, long[]>) - Constructor for class org.deeplearning4j.nn.conf.layers.samediff.SDLayerParams
 
sdot(long, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
 
sdot(long, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
 
sdot(long, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.CpuLevel1
 
sdot(long, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.CpuLevel1
 
sdot(long, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.jcublas.blas.JcublasLevel1
 
sdot(long, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.jcublas.blas.JcublasLevel1
 
sdoti(long, INDArray, DataBuffer, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
 
sdoti(long, INDArray, DataBuffer, INDArray) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.SparseCpuLevel1
Computes the dot product of a compressed sparse float vector by a full-storage real vector.
sdoti(long, INDArray, DataBuffer, INDArray) - Method in class org.nd4j.linalg.jcublas.blas.JcusparseLevel1
 
sdsdot(long, float, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
 
sdsdot(long, float, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.CpuLevel1
 
sdsdot(long, float, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.jcublas.blas.JcublasLevel1
 
SDVariable - Class in org.nd4j.autodiff.samediff
A variable representing a component within a graph.
SDVertexParams - Class in org.deeplearning4j.nn.conf.layers.samediff
SDVertexParams is used to define the inputs - and the parameters - for a SameDiff layer
SDVertexParams() - Constructor for class org.deeplearning4j.nn.conf.layers.samediff.SDVertexParams
 
search(ViterbiLattice) - Method in class com.atilika.kuromoji.viterbi.ViterbiSearcher
Find best path from input lattice.
search(INDArray, double) - Method in interface org.deeplearning4j.clustering.lsh.LSH
Returns the approximate neighbors within a distance bound.
search(INDArray, int) - Method in interface org.deeplearning4j.clustering.lsh.LSH
Returns the approximate neighbors within a k-closest bound
search(INDArray, double) - Method in class org.deeplearning4j.clustering.lsh.RandomProjectionLSH
 
search(INDArray, int) - Method in class org.deeplearning4j.clustering.lsh.RandomProjectionLSH
 
search(INDArray, int, List<DataPoint>, List<Double>) - Method in class org.deeplearning4j.clustering.vptree.VPTree
 
search(VPTree.Node, INDArray, int, PriorityQueue<HeapObject>, double) - Method in class org.deeplearning4j.clustering.vptree.VPTree
 
search() - Method in class org.deeplearning4j.clustering.vptree.VPTreeFillSearch
 
search() - Method in class org.deeplearning4j.nearestneighbor.server.NearestNeighbor
 
SEARCH_DIR - Static variable in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
searchState - Variable in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
sec2DoomTics(double, int) - Method in class vizdoom.DoomGame
 
second() - Method in class org.nd4j.graph.IntPair
 
second() - Method in class org.nd4j.graph.IntTriple
 
second() - Method in class org.nd4j.graph.LongPair
 
second() - Method in class org.nd4j.graph.LongTriple
 
second - Variable in class org.nd4j.linalg.primitives.ImmutableQuad
 
second - Variable in class org.nd4j.linalg.primitives.ImmutableTriple
 
second - Variable in class org.nd4j.linalg.primitives.Quad
 
second - Variable in class org.nd4j.linalg.primitives.Triple
 
second() - Method in class org.nd4j.nativeblas.Nd4jCpu.IntIntPair
 
second(int) - Method in class org.nd4j.nativeblas.Nd4jCpu.IntIntPair
 
second() - Method in class org.nd4j.nativeblas.Nd4jCpu.Pair
 
second() - Method in class org.nd4j.nativeblas.Nd4jCuda.IntIntPair
 
second(int) - Method in class org.nd4j.nativeblas.Nd4jCuda.IntIntPair
 
second() - Method in class org.nd4j.nativeblas.Nd4jCuda.Pair
 
secondary - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
secondary - Variable in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
secondaryStride() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Deprecated.
secondaryStride() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
secondaryStride() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Return the second stride for an ndarray.
SecondIterationFunction - Class in org.deeplearning4j.spark.models.embeddings.word2vec
 
SecondIterationFunction(Broadcast<Map<String, Object>>, Broadcast<double[]>, Broadcast<VocabCache<VocabWord>>) - Constructor for class org.deeplearning4j.spark.models.embeddings.word2vec.SecondIterationFunction
 
secretKey - Variable in class org.deeplearning4j.aws.s3.BaseS3
 
securityGroupIDs(List<String>) - Method in class org.deeplearning4j.aws.emr.SparkEMRClient.Builder
The id of additional security groups this deployment should adopt for both master and slaves
seed - Variable in class org.datavec.image.loader.CifarLoader
 
seed(int) - Method in class org.datavec.image.transform.ImageTransformProcess.Builder
 
seed - Variable in class org.datavec.image.transform.PipelineImageTransform.Builder
 
seed(long) - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace.Builder
 
seed - Variable in class org.deeplearning4j.arbiter.BaseNetworkSpace
 
seed(long) - Method in class org.deeplearning4j.graph.models.deepwalk.DeepWalk.Builder
Seed for random number generation (used for repeatability).
seed - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
 
seed(long) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
 
seed - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
seed - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
seed(long) - Method in class org.deeplearning4j.models.glove.Glove.Builder
 
seed(long) - Method in class org.deeplearning4j.models.glove.GloveWeightLookupTable.Builder
Deprecated.
 
seed(long) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
seed(long) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method defines random seed for random numbers generator
seed - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker.Builder
 
seed - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker
 
seed - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker.Builder
 
seed - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker
 
seed - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
seed(long) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
Sets seed for random numbers generator.
seed(long) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method defines random seed for random numbers generator
seed - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
seed(long) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Random number generator seed.
seed - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
 
seed(long) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
RNG seed for reproducibility
seed(int) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
RNG seed for reproducibility
seed - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
seed - Variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
 
seed(long) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
Specifies random seed to be used during weights initialization;
SEED - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecVariables
Deprecated.
 
seed - Variable in class org.nd4j.linalg.api.rng.DefaultRandom
 
seed - Variable in class org.nd4j.parameterserver.distributed.messages.intercom.DistributedInitializationMessage
 
seed - Variable in class org.nd4j.parameterserver.distributed.messages.requests.InitializationRequestMessage
 
seed - Variable in class org.nd4j.rng.NativeRandom
 
seedConv(long) - Method in class org.nd4j.nativeblas.Nd4jCpu.RandomBuffer
 
seedConv(long) - Method in class org.nd4j.nativeblas.Nd4jCuda.RandomBuffer
 
seekUnusedDevice(Long, Integer, Aggressiveness) - Method in class org.nd4j.jita.allocator.impl.AtomicAllocator
This method seeks for unused device memory allocations, for specified thread and device
seekUnusedZero(Long, Aggressiveness) - Method in class org.nd4j.jita.allocator.impl.AtomicAllocator
This method seeks for unused zero-copy memory allocations
SEGMENT_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.TensorProto
 
SEGMENT_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.TensorProto
 
segmenter() - Static method in class org.deeplearning4j.text.sentenceiterator.UimaSentenceIterator
Return a sentence segmenter
segmentMax(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
segmentMax(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
segmentMax(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Segment max operation.
If data = [3, 6, 1, 4, 9, 2, 8]
segmentIds = [0, 0, 1, 1, 1, 2, 2]
then output = [6, 9, 8] = [max(3,6), max(1,4,9), max(2,8)
SegmentMax - Class in org.nd4j.linalg.api.ops.impl.transforms.segment
Segment max operation
SegmentMax(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.SegmentMax
 
SegmentMax() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.SegmentMax
 
segmentMean(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
segmentMean(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
segmentMean(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Segment mean operation.
If data = [3, 6, 1, 4, 9, 2, 8]
segmentIds = [0, 0, 1, 1, 1, 2, 2]
then output = [4.5, 4.666, 5] = [mean(3,6), mean(1,4,9), mean(2,8)
SegmentMean - Class in org.nd4j.linalg.api.ops.impl.transforms.segment
Segment mean operation
SegmentMean(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.SegmentMean
 
SegmentMean() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.SegmentMean
 
segmentMin(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
segmentMin(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
segmentMin(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Segment min operation.
If data = [3, 6, 1, 4, 9, 2, 8]
segmentIds = [0, 0, 1, 1, 1, 2, 2]
then output = [3, 1, 2] = [min(3,6), min(1,4,9), min(2,8)
SegmentMin - Class in org.nd4j.linalg.api.ops.impl.transforms.segment
Segment min operation
SegmentMin(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.SegmentMin
 
SegmentMin() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.SegmentMin
 
segmentProd(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
segmentProd(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
segmentProd(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Segment product operation.
If data = [3, 6, 1, 4, 9, 2, 8]
segmentIds = [0, 0, 1, 1, 1, 2, 2]
then output = [18, 36, 16] = [prod(3,6), prod(1,4,9), prod(2,8)
SegmentProd - Class in org.nd4j.linalg.api.ops.impl.transforms.segment
Segment product operation
SegmentProd(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.SegmentProd
 
SegmentProd() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.SegmentProd
 
segmentSum(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
segmentSum(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
segmentSum(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Segment sum operation.
If data = [3, 6, 1, 4, 9, 2, 8]
segmentIds = [0, 0, 1, 1, 1, 2, 2]
then output = [9, 14, 10] = [sum(3,6), sum(1,4,9), sum(2,8)
SegmentSum - Class in org.nd4j.linalg.api.ops.impl.transforms.segment
Segment sum operation
SegmentSum(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.SegmentSum
 
SegmentSum() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.segment.SegmentSum
 
Select - Class in org.nd4j.linalg.api.ops.impl.controlflow
 
Select(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.Select
 
Select(INDArray[], INDArray[], List<Double>, List<Integer>) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.Select
 
Select(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.Select
 
Select(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.Select
 
SelectColumnFunction - Class in org.datavec.spark.transform.analysis
Select out the value from a single column
SelectColumnFunction() - Constructor for class org.datavec.spark.transform.analysis.SelectColumnFunction
 
selfScore() - Method in class org.ansj.domain.Term
 
selfScore(double) - Method in class org.ansj.domain.Term
 
selfScore - Variable in class org.ansj.recognition.impl.NatureRecognition.NatureTerm
 
SelfWritableConverter - Class in org.datavec.api.io.converters
Baseline writable converter
SelfWritableConverter() - Constructor for class org.datavec.api.io.converters.SelfWritableConverter
 
selu(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
selu(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Element-wise SeLU function - Scaled exponential Lineal Unit: see Self-Normalizing Neural Networks
out[i] = scale * alpha * (exp(in[i])-1) if in[i]>0, or 0 if in[i] <= 0
Uses default lcale and alpha values.
selu(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Element-wise SeLU function - Scaled exponential Lineal Unit: see Self-Normalizing Neural Networks
out[i] = scale * alpha * (exp(in[i])-1) if in[i]>0, or 0 if in[i] <= 0
Uses default lcale and alpha values.
SELU - Class in org.nd4j.linalg.api.ops.impl.transforms
SELU activation function
SELU(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SELU
 
SELU(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SELU
 
SELU(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SELU
 
SELU() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SELU
 
SELU(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SELU
 
SELU(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SELU
 
SELU(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.SELU
 
seluDerivative(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
SELUDerivative - Class in org.nd4j.linalg.api.ops.impl.transforms.gradient
SELU Derivative elementwise function https://arxiv.org/pdf/1706.02515.pdf
SELUDerivative(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SELUDerivative
 
SELUDerivative(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SELUDerivative
 
SELUDerivative(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SELUDerivative
 
SELUDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SELUDerivative
 
SELUDerivative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SELUDerivative
 
SELUDerivative(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SELUDerivative
 
SELUDerivative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.gradient.SELUDerivative
 
send() - Method in class org.nd4j.aeron.ipc.response.HostPortPublisher
 
sendCommandToShard(VoidMessage) - Method in class org.nd4j.parameterserver.distributed.transport.BaseTransport
This command is possible to issue only from Client
sendCommandToShard(VoidMessage) - Method in class org.nd4j.parameterserver.distributed.transport.RoutedTransport
 
sendCoordinationCommand(VoidMessage) - Method in class org.nd4j.parameterserver.distributed.transport.BaseTransport
This command is possible to issue only from Shard
sendCoordinationCommand(VoidMessage) - Method in class org.nd4j.parameterserver.distributed.transport.MulticastTransport
This command is possible to issue only from Shard
sendCoordinationCommand(VoidMessage) - Method in class org.nd4j.parameterserver.distributed.transport.RoutedTransport
This method implements Shard -> Shards comms
sendFeedbackToClient(VoidMessage) - Method in class org.nd4j.parameterserver.distributed.transport.BaseTransport
This command is possible to issue only from Shard
sendFeedbackToClient(VoidMessage) - Method in class org.nd4j.parameterserver.distributed.transport.MulticastTransport
This command is possible to issue only from Shard
sendFeedbackToClient(VoidMessage) - Method in class org.nd4j.parameterserver.distributed.transport.RoutedTransport
This method implements Shard -> Client comms
sendGameCommand(String) - Method in class vizdoom.DoomGame
 
sendMessage(INDArray) - Method in class org.deeplearning4j.optimize.solvers.accumulation.EncodingHandler
This method does loops encoded data back to updates queue
sendMessage(INDArray) - Method in class org.deeplearning4j.spark.parameterserver.networking.WiredEncodingHandler
This method sends given message to all registered recipients
sendMessage(VoidMessage) - Method in class org.nd4j.parameterserver.distributed.transport.BaseTransport
 
sendMessage(VoidMessage) - Method in class org.nd4j.parameterserver.distributed.transport.LocalTransport
Deprecated.
This method accepts message for delivery, routing is applied according on message opType
sendMessage(VoidMessage) - Method in interface org.nd4j.parameterserver.distributed.transport.Transport
This method accepts message for delivery, routing is applied according on message opType
sendMessageAndGetResponse(VoidMessage) - Method in class org.nd4j.parameterserver.distributed.transport.BaseTransport
 
sendMessageAndGetResponse(VoidMessage) - Method in class org.nd4j.parameterserver.distributed.transport.LocalTransport
Deprecated.
 
sendMessageAndGetResponse(VoidMessage) - Method in interface org.nd4j.parameterserver.distributed.transport.Transport
This method accepts message for delivery, and blocks until response delivered
sendMessageToAllClients(VoidMessage, Long...) - Method in class org.nd4j.parameterserver.distributed.transport.BaseTransport
 
sendMessageToAllClients(VoidMessage, Long...) - Method in class org.nd4j.parameterserver.distributed.transport.LocalTransport
Deprecated.
 
sendMessageToAllClients(VoidMessage, Long...) - Method in class org.nd4j.parameterserver.distributed.transport.RoutedTransport
 
sendMessageToAllClients(VoidMessage, Long...) - Method in interface org.nd4j.parameterserver.distributed.transport.Transport
 
sendMessageToAllClients(VoidMessage) - Method in class org.nd4j.parameterserver.distributed.VoidParameterServer
This method sends given message to all Clients
sendMessageToAllClients(VoidMessage, Long...) - Method in class org.nd4j.parameterserver.distributed.VoidParameterServer
This method sends given message to all Clients, excluding
sendMessageToAllShards(VoidMessage) - Method in class org.nd4j.parameterserver.distributed.transport.BaseTransport
 
sendMessageToAllShards(VoidMessage) - Method in class org.nd4j.parameterserver.distributed.transport.LocalTransport
Deprecated.
 
sendMessageToAllShards(VoidMessage) - Method in interface org.nd4j.parameterserver.distributed.transport.Transport
 
sendMessageToAllShards(VoidMessage) - Method in class org.nd4j.parameterserver.distributed.VoidParameterServer
This method sends given message to all Shards
Sentence(String) - Constructor for class org.ansj.app.summary.SummaryComputer.Sentence
 
SentenceAnnotator - Class in org.datavec.nlp.annotator
 
SentenceAnnotator() - Constructor for class org.datavec.nlp.annotator.SentenceAnnotator
 
SentenceAnnotator - Class in org.deeplearning4j.text.annotator
 
SentenceAnnotator() - Constructor for class org.deeplearning4j.text.annotator.SentenceAnnotator
 
SentenceBatch - Class in org.deeplearning4j.spark.models.embeddings.word2vec
Deprecated.
SentenceBatch() - Constructor for class org.deeplearning4j.spark.models.embeddings.word2vec.SentenceBatch
Deprecated.
 
sentenceCounter - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer
 
sentenceIter - Variable in class org.deeplearning4j.models.word2vec.Word2Vec
 
sentenceIterator - Variable in class org.deeplearning4j.models.glove.Glove.Builder
 
sentenceIterator - Variable in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
 
SentenceIterator - Interface in org.deeplearning4j.text.sentenceiterator
A sentence iterator that knows how to iterate over sentence.
SentenceIteratorConverter - Class in org.deeplearning4j.text.sentenceiterator.interoperability
Simple class providing compatibility between SentenceIterator/LabelAwareSentenceIterator and LabelAwareIterator
SentenceIteratorConverter(SentenceIterator) - Constructor for class org.deeplearning4j.text.sentenceiterator.interoperability.SentenceIteratorConverter
 
SentenceIteratorConverter(SentenceIterator, LabelsSource) - Constructor for class org.deeplearning4j.text.sentenceiterator.interoperability.SentenceIteratorConverter
 
SentencePreProcessor - Interface in org.deeplearning4j.text.sentenceiterator
Sentence pre processor.
sentenceProvider(LabeledSentenceProvider) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder
Specify how the (labelled) sentences / documents should be provided
sentenceProvider(LabelAwareIterator, List<String>) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder
Specify how the (labelled) sentences / documents should be provided
sentenceProvider(LabelAwareDocumentIterator, List<String>) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder
Specify how the (labelled) sentences / documents should be provided
sentenceProvider(LabelAwareSentenceIterator, List<String>) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder
Specify how the (labelled) sentences / documents should be provided
sentences - Variable in class org.deeplearning4j.text.sentenceiterator.UimaResultSetIterator
 
sentences - Variable in class org.deeplearning4j.text.sentenceiterator.UimaSentenceIterator
 
sentencesAlongHeight(boolean) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder
If true (default): output features data with shape [minibatchSize, 1, maxSentenceLength, wordVectorSize]
If false: output features with shape [minibatchSize, 1, wordVectorSize, maxSentenceLength]
sentenceTransformer - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.BasicTransformerIterator
 
SentenceTransformer - Class in org.deeplearning4j.models.sequencevectors.transformers.impl
This simple class is responsible for conversion lines of text to Sequences of SequenceElements to fit them into SequenceVectors model
SentenceTransformer.Builder - Class in org.deeplearning4j.models.sequencevectors.transformers.impl
 
separableConv2d(SDVariable, SDVariable, SDVariable, Conv2DConfig) - Method in class org.nd4j.autodiff.samediff.SameDiff
Separable 2D convolution operation without bias
separableConv2d(SDVariable, SDVariable, SDVariable, SDVariable, Conv2DConfig) - Method in class org.nd4j.autodiff.samediff.SameDiff
Separable 2D convolution operation with optional bias
SeparableConvolution2D - Class in org.deeplearning4j.nn.conf.layers
2D Separable convolution layer configuration.
SeparableConvolution2D(SeparableConvolution2D.Builder) - Constructor for class org.deeplearning4j.nn.conf.layers.SeparableConvolution2D
SeparableConvolution2D layer nIn in the input layer is the number of channels nOut is the number of filters to be used in the net or in other words the channels The builder specifies the filter/kernel size, the stride and padding The pooling layer takes the kernel size
SeparableConvolution2D.Builder - Class in org.deeplearning4j.nn.conf.layers
 
SeparableConvolution2DLayer - Class in org.deeplearning4j.nn.layers.convolution
2D Separable convolution layer implementation Separable convolutions split a regular convolution operation into two simpler operations, which are usually computationally more efficient.
SeparableConvolution2DLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.convolution.SeparableConvolution2DLayer
 
SeparableConvolution2DLayer(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.convolution.SeparableConvolution2DLayer
 
SeparableConvolution2DLayerSpace - Class in org.deeplearning4j.arbiter.layers
 
SeparableConvolution2DLayerSpace(SeparableConvolution2DLayerSpace.Builder) - Constructor for class org.deeplearning4j.arbiter.layers.SeparableConvolution2DLayerSpace
 
SeparableConvolution2DLayerSpace.Builder - Class in org.deeplearning4j.arbiter.layers
 
SeparableConvolutionParamInitializer - Class in org.deeplearning4j.nn.params
Initialize separable convolution params.
SeparableConvolutionParamInitializer() - Constructor for class org.deeplearning4j.nn.params.SeparableConvolutionParamInitializer
 
sepConvBlock(ComputationGraphConfiguration.GraphBuilder, int, int, int, String, String) - Static method in class org.deeplearning4j.zoo.model.helper.NASNetHelper
 
Sequence<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.sequence
Sequence for SequenceVectors is defined as limited set of SequenceElements.
Sequence() - Constructor for class org.deeplearning4j.models.sequencevectors.sequence.Sequence
Creates new empty sequence
Sequence(Collection<T>) - Constructor for class org.deeplearning4j.models.sequencevectors.sequence.Sequence
Creates new sequence from collection of elements
SEQUENCE_INDEX_COLUMN - Static variable in class org.datavec.spark.transform.DataFrames
 
SEQUENCE_OR_NOT_HEADER - Static variable in interface org.datavec.spark.transform.service.DataVecTransformService
 
SEQUENCE_TYPE_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.TypeProto
 
SEQUENCE_UUID_COLUMN - Static variable in class org.datavec.spark.transform.DataFrames
 
sequenceAlignmentMode(RecordReaderMultiDataSetIterator.AlignmentMode) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder
Set the sequence alignment mode for all sequences
SequenceBatchCSVRecord - Class in org.datavec.spark.transform.model
Created by agibsonccc on 1/21/17.
SequenceBatchCSVRecord() - Constructor for class org.datavec.spark.transform.model.SequenceBatchCSVRecord
 
SequenceComparator - Interface in org.datavec.api.transform.sequence
Compare the time steps of a sequence
SequenceComparatorHelper() - Constructor for class org.datavec.api.transform.serde.legacy.LegacyMappingHelper.SequenceComparatorHelper
 
SequenceComparatorList(List<SequenceComparator>) - Constructor for class org.datavec.api.transform.serde.ListWrappers.SequenceComparatorList
 
SequenceConditionMode - Enum in org.datavec.api.transform.condition
For certain single-column conditions: how should we apply these to sequences?
And: Condition applies to sequence only if it applies to ALL time steps
Or: Condition applies to sequence if it applies to ANY time steps
NoSequencMode: Condition cannot be applied to sequences at all (error condition)
SequenceDataAnalysis - Class in org.datavec.api.transform.analysis
Created by Alex on 12/03/2016.
SequenceDataAnalysis(Schema, List<ColumnAnalysis>, SequenceLengthAnalysis) - Constructor for class org.datavec.api.transform.analysis.SequenceDataAnalysis
 
SequenceDataAnalysis() - Constructor for class org.datavec.api.transform.analysis.SequenceDataAnalysis
 
SequenceDifferenceTransform - Class in org.datavec.api.transform.transform.sequence
SequenceDifferenceTransform: for an input sequence, calculate the difference on one column.
For each time t, calculate someColumn(t) - someColumn(t-s), where s >= 1 is the 'lookback' period.

Note: at t=0 (i.e., the first step in a sequence; or more generally, for all times t < s), there is no previous value from which to calculate the difference.
SequenceDifferenceTransform(String) - Constructor for class org.datavec.api.transform.transform.sequence.SequenceDifferenceTransform
Create a SequenceDifferenceTransform with default lookback of 1, and using FirstStepMode.Default.
SequenceDifferenceTransform(String, String, int) - Constructor for class org.datavec.api.transform.transform.sequence.SequenceDifferenceTransform
Create a SequenceDifferenceTransform with default lookback of 1, and using FirstStepMode.Default, where the output column name is specified
SequenceDifferenceTransform(String, String, int, SequenceDifferenceTransform.FirstStepMode, Writable) - Constructor for class org.datavec.api.transform.transform.sequence.SequenceDifferenceTransform
Create a SequenceDifferenceTransform with default lookback of 1, and using FirstStepMode.Default, where the output column name is specified
SequenceDifferenceTransform.FirstStepMode - Enum in org.datavec.api.transform.transform.sequence
 
SequenceElement - Class in org.deeplearning4j.models.sequencevectors.sequence
SequenceElement is basic building block for SequenceVectors.
SequenceElement() - Constructor for class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
 
SequenceElementFactory<T extends SequenceElement> - Interface in org.deeplearning4j.models.sequencevectors.interfaces
This is interface for JSON -> SequenceElement serialization/deserialziation
SequenceEmptyRecordFunction - Class in org.datavec.local.transforms
Used for filtering empty records
SequenceEmptyRecordFunction() - Constructor for class org.datavec.local.transforms.SequenceEmptyRecordFunction
 
SequenceEmptyRecordFunction - Class in org.datavec.spark
Used for filtering empty records
SequenceEmptyRecordFunction() - Constructor for class org.datavec.spark.SequenceEmptyRecordFunction
 
SequenceFlatMapFunction - Class in org.datavec.spark.transform.analysis
SequenceFlatMapFunction: very simple function used to flatten a sequence Typically used only internally for certain analysis operations
SequenceFlatMapFunction() - Constructor for class org.datavec.spark.transform.analysis.SequenceFlatMapFunction
 
SequenceFlatMapFunctionAdapter - Class in org.datavec.spark.transform.analysis
SequenceFlatMapFunction: very simple function used to flatten a sequence Typically used only internally for certain analysis operations
SequenceFlatMapFunctionAdapter() - Constructor for class org.datavec.spark.transform.analysis.SequenceFlatMapFunctionAdapter
 
sequenceId - Variable in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
 
sequenceIter - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
sequenceIterator - Variable in class org.deeplearning4j.models.glove.AbstractCoOccurrences.Builder
 
sequenceIterator - Variable in class org.deeplearning4j.models.glove.AbstractCoOccurrences
 
SequenceIterator<T extends SequenceElement> - Interface in org.deeplearning4j.models.sequencevectors.interfaces
SequenceIterator is basic interface for learning abstract data that can be represented as sequence of some elements.
SequenceLearningAlgorithm<T extends SequenceElement> - Interface in org.deeplearning4j.models.embeddings.learning
Implementations of this interface should contain sequence-related learning algorithms.
sequenceLearningAlgorithm(String) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
sequenceLearningAlgorithm(SequenceLearningAlgorithm<V>) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
sequenceLearningAlgorithm(SequenceLearningAlgorithm<VocabWord>) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
 
sequenceLearningAlgorithm(String) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
 
sequenceLearningAlgorithm - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
sequenceLearningAlgorithm(String) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
Sets specific LearningAlgorithm as Sequence Learning Algorithm
sequenceLearningAlgorithm(SequenceLearningAlgorithm<T>) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
Sets specific LearningAlgorithm as Sequence Learning Algorithm
sequenceLearningAlgorithm - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors
 
sequenceLearningAlgorithm - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.PartitionTrainingFunction
 
sequenceLearningAlgorithm - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.TrainingFunction
 
sequenceLength() - Method in interface org.deeplearning4j.graph.api.IVertexSequence
Length of the vertex sequence
sequenceLength() - Method in class org.deeplearning4j.graph.graph.VertexSequence
 
SequenceLengthAnalysis - Class in org.datavec.api.transform.analysis.sequence
Created by Alex on 12/03/2016.
SequenceLengthAnalysis() - Constructor for class org.datavec.api.transform.analysis.sequence.SequenceLengthAnalysis
 
SequenceLengthAnalysisAddFunction - Class in org.datavec.spark.transform.analysis.seqlength
Created by Alex on 7/03/2016.
SequenceLengthAnalysisAddFunction() - Constructor for class org.datavec.spark.transform.analysis.seqlength.SequenceLengthAnalysisAddFunction
 
SequenceLengthAnalysisCounter - Class in org.datavec.spark.transform.analysis.seqlength
Created by Alex on 7/03/2016.
SequenceLengthAnalysisCounter() - Constructor for class org.datavec.spark.transform.analysis.seqlength.SequenceLengthAnalysisCounter
 
SequenceLengthAnalysisMergeFunction - Class in org.datavec.spark.transform.analysis.seqlength
Created by Alex on 5/03/2016.
SequenceLengthAnalysisMergeFunction() - Constructor for class org.datavec.spark.transform.analysis.seqlength.SequenceLengthAnalysisMergeFunction
 
SequenceLengthCondition - Class in org.datavec.api.transform.condition.sequence
A condition on sequence lengths
SequenceLengthCondition(ConditionOp, int) - Constructor for class org.datavec.api.transform.condition.sequence.SequenceLengthCondition
 
SequenceLengthCondition(ConditionOp, Set<Integer>) - Constructor for class org.datavec.api.transform.condition.sequence.SequenceLengthCondition
 
SequenceLengthFunction - Class in org.datavec.spark.transform.analysis
Map a sequence to the size of that sequence
SequenceLengthFunction() - Constructor for class org.datavec.spark.transform.analysis.SequenceLengthFunction
 
sequenceMask(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
sequenceMask(SDVariable, int) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
sequenceMask(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
sequenceMask(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Generate a sequence mask (with values 0 or 1) based on the specified lengths
Specifically, out[i, ..., k, j] = (j < lengths[i, ..., k] ? 1.0 : 0.0)
sequenceMask(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
sequenceMask(String, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
sequenceMask(SDVariable, int) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
sequenceMask(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
sequenceMask(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
SequenceMask - Class in org.nd4j.linalg.api.ops.impl.shape
Created by farizrahman4u on 3/28/18.
SequenceMask(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.SequenceMask
 
SequenceMask(SameDiff, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.SequenceMask
 
SequenceMask(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.SequenceMask
 
SequenceMerge - Class in org.datavec.api.transform.sequence.merge
Merge multiple sequences into one single sequence.
SequenceMerge(SequenceComparator) - Constructor for class org.datavec.api.transform.sequence.merge.SequenceMerge
 
SequenceMergeFunction<T> - Class in org.datavec.local.transforms.misc
Function for merging multiple sequences, using a SequenceMerge instance.
Typical usage:
SequenceMergeFunction(SequenceMerge) - Constructor for class org.datavec.local.transforms.misc.SequenceMergeFunction
 
SequenceMergeFunction<T> - Class in org.datavec.spark.transform.misc
Spark function for merging multiple sequences, using a SequenceMerge instance.
Typical usage:
SequenceMergeFunction(SequenceMerge) - Constructor for class org.datavec.spark.transform.misc.SequenceMergeFunction
 
sequenceMode - Variable in class org.datavec.api.transform.condition.column.BaseColumnCondition
 
sequenceMovingWindowReduce(String, int, ReduceOp) - Method in class org.datavec.api.transform.TransformProcess.Builder
SequenceMovingWindowReduceTransform: Adds a new column, where the value is derived by:
(a) using a window of the last N values in a single column,
(b) Apply a reduction op on the window to calculate a new value
for example, this transformer can be used to implement a simple moving average of the last N values, or determine the minimum or maximum values in the last N time steps.
SequenceMovingWindowReduceTransform - Class in org.datavec.api.transform.transform.sequence
SequenceMovingWindowReduceTransform Adds a new column, where the value is derived by:
(a) using a window of the last N values in a single column,
(b) Apply a reduction op on the window to calculate a new value
for example, this transformer can be used to implement a simple moving average of the last N values, or determine the minimum or maximum values in the last N time steps.
SequenceMovingWindowReduceTransform(String, int, ReduceOp) - Constructor for class org.datavec.api.transform.transform.sequence.SequenceMovingWindowReduceTransform
 
SequenceMovingWindowReduceTransform(String, String, int, ReduceOp, SequenceMovingWindowReduceTransform.EdgeCaseHandling, Writable) - Constructor for class org.datavec.api.transform.transform.sequence.SequenceMovingWindowReduceTransform
 
SequenceMovingWindowReduceTransform.EdgeCaseHandling - Enum in org.datavec.api.transform.transform.sequence
Enumeration to specify how each cases are handled: For example, for a look back period of 20, how should the first 19 output values be calculated?
Default: Perform your former reduction as normal, with as many values are available
SpecifiedValue: use the given/specified value instead of the actual output value.
SequenceOffsetTransform - Class in org.datavec.api.transform.transform.sequence
Sequence offset transform takes a sequence, and shifts The values in one or more columns by a specified number of times steps.
SequenceOffsetTransform(List<String>, int, SequenceOffsetTransform.OperationType, SequenceOffsetTransform.EdgeHandling, Writable) - Constructor for class org.datavec.api.transform.transform.sequence.SequenceOffsetTransform
 
SequenceOffsetTransform.EdgeHandling - Enum in org.datavec.api.transform.transform.sequence
 
SequenceOffsetTransform.OperationType - Enum in org.datavec.api.transform.transform.sequence
 
SequenceProvider - Interface in org.nd4j.parameterserver.distributed.logic
 
SequenceRecord - Class in org.datavec.api.records.impl
A standard implementation of the SequenceRecord interface.
SequenceRecord() - Constructor for class org.datavec.api.records.impl.SequenceRecord
 
sequenceRecord() - Method in class org.datavec.api.records.reader.impl.collection.CollectionSequenceRecordReader
 
sequenceRecord(URI, DataInputStream) - Method in class org.datavec.api.records.reader.impl.collection.CollectionSequenceRecordReader
 
sequenceRecord() - Method in class org.datavec.api.records.reader.impl.csv.CSVLineSequenceRecordReader
 
sequenceRecord(URI, DataInputStream) - Method in class org.datavec.api.records.reader.impl.csv.CSVLineSequenceRecordReader
 
sequenceRecord() - Method in class org.datavec.api.records.reader.impl.csv.CSVMultiSequenceRecordReader
 
sequenceRecord(URI, DataInputStream) - Method in class org.datavec.api.records.reader.impl.csv.CSVMultiSequenceRecordReader
 
sequenceRecord() - Method in class org.datavec.api.records.reader.impl.csv.CSVNLinesSequenceRecordReader
 
sequenceRecord(URI, DataInputStream) - Method in class org.datavec.api.records.reader.impl.csv.CSVNLinesSequenceRecordReader
 
sequenceRecord(URI, DataInputStream) - Method in class org.datavec.api.records.reader.impl.csv.CSVSequenceRecordReader
 
sequenceRecord() - Method in class org.datavec.api.records.reader.impl.csv.CSVSequenceRecordReader
 
sequenceRecord() - Method in class org.datavec.api.records.reader.impl.csv.CSVVariableSlidingWindowRecordReader
 
sequenceRecord(URI, DataInputStream) - Method in class org.datavec.api.records.reader.impl.csv.CSVVariableSlidingWindowRecordReader
 
sequenceRecord() - Method in class org.datavec.api.records.reader.impl.inmemory.InMemorySequenceRecordReader
Returns a sequence record.
sequenceRecord(URI, DataInputStream) - Method in class org.datavec.api.records.reader.impl.inmemory.InMemorySequenceRecordReader
Load a sequence record from the given DataInputStream Unlike InMemorySequenceRecordReader.next() the internal state of the RecordReader is not modified Implementations of this method should not close the DataInputStream
sequenceRecord() - Method in class org.datavec.api.records.reader.impl.jackson.JacksonLineSequenceRecordReader
 
sequenceRecord(URI, DataInputStream) - Method in class org.datavec.api.records.reader.impl.jackson.JacksonLineSequenceRecordReader
 
sequenceRecord() - Method in class org.datavec.api.records.reader.impl.regex.RegexSequenceRecordReader
 
sequenceRecord(URI, DataInputStream) - Method in class org.datavec.api.records.reader.impl.regex.RegexSequenceRecordReader
 
sequenceRecord() - Method in class org.datavec.api.records.reader.impl.transform.TransformProcessSequenceRecordReader
Returns a sequence record.
sequenceRecord(URI, DataInputStream) - Method in class org.datavec.api.records.reader.impl.transform.TransformProcessSequenceRecordReader
Load a sequence record from the given DataInputStream Unlike TransformProcessSequenceRecordReader.next() the internal state of the RecordReader is not modified Implementations of this method should not close the DataInputStream
sequenceRecord() - Method in interface org.datavec.api.records.reader.SequenceRecordReader
Returns a sequence record.
sequenceRecord(URI, DataInputStream) - Method in interface org.datavec.api.records.reader.SequenceRecordReader
Load a sequence record from the given DataInputStream Unlike RecordReader.next() the internal state of the RecordReader is not modified Implementations of this method should not close the DataInputStream
SequenceRecord - Interface in org.datavec.api.records
A SequenceRecord contains a set of values for a single sequence or time series (usually with multiple values per time step, and multiple time steps).
Each value in the Record is represented by Writable object; each time step is thus a List<Writable> and the entire sequence is represented by a List<List<Writable>>, where the outer list is over time steps, and the inner list is over values for a given time step.
The SequenceRecord may (optionally) also have a RecordMetaData instance, that represents metadata (source location, etc) for the record.
For standard (non-sequential) data, see Record
sequenceRecord() - Method in class org.datavec.codec.reader.BaseCodecRecordReader
 
sequenceRecord(URI, DataInputStream) - Method in class org.datavec.codec.reader.BaseCodecRecordReader
 
sequenceRecord() - Method in class org.datavec.hadoop.records.reader.mapfile.MapFileSequenceRecordReader
 
sequenceRecord(URI, DataInputStream) - Method in class org.datavec.hadoop.records.reader.mapfile.MapFileSequenceRecordReader
 
sequenceRecord() - Method in class org.datavec.image.recordreader.VideoRecordReader
 
sequenceRecord(URI, DataInputStream) - Method in class org.datavec.image.recordreader.VideoRecordReader
 
sequenceRecord() - Method in class org.datavec.local.transforms.LocalTransformProcessSequenceRecordReader
 
sequenceRecord() - Method in class org.deeplearning4j.spark.datavec.iterator.SparkSourceDummySeqReader
 
sequenceRecord(URI, DataInputStream) - Method in class org.deeplearning4j.spark.datavec.iterator.SparkSourceDummySeqReader
 
SequenceRecordLoadPairFunction - Class in org.datavec.spark.storage.functions
A simple function to prepare data during loading via SparkStorageUtils
SequenceRecordLoadPairFunction() - Constructor for class org.datavec.spark.storage.functions.SequenceRecordLoadPairFunction
 
sequenceRecordReader - Variable in class org.datavec.api.records.reader.impl.transform.TransformProcessSequenceRecordReader
 
SequenceRecordReader - Interface in org.datavec.api.records.reader
A sequence of records.
sequenceRecordReader - Variable in class org.datavec.local.transforms.functions.SequenceRecordReaderFunction
 
sequenceRecordReader - Variable in class org.datavec.spark.functions.SequenceRecordReaderFunction
 
SequenceRecordReaderBytesFunction - Class in org.datavec.local.transforms.functions.data
SequenceRecordReaderBytesFunction: Converts binary data (in the form of a BytesWritable) to DataVec format data (List<List<<Writable>>) using a SequenceRecordReader
SequenceRecordReaderBytesFunction(SequenceRecordReader) - Constructor for class org.datavec.local.transforms.functions.data.SequenceRecordReaderBytesFunction
 
SequenceRecordReaderBytesFunction - Class in org.datavec.spark.functions.data
SequenceRecordReaderBytesFunction: Converts binary data (in the form of a BytesWritable) to DataVec format data (List<List<<Writable>>) using a SequenceRecordReader
SequenceRecordReaderBytesFunction(SequenceRecordReader) - Constructor for class org.datavec.spark.functions.data.SequenceRecordReaderBytesFunction
 
SequenceRecordReaderDataSetIterator - Class in org.deeplearning4j.datasets.datavec
Sequence record reader data set iterator Given a record reader (and optionally another record reader for the labels) generate time series (sequence) data sets.
Supports padding for one-to-many and many-to-one type data loading (i.e., with different number of inputs vs.
SequenceRecordReaderDataSetIterator(SequenceRecordReader, SequenceRecordReader, int, int) - Constructor for class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
Constructor where features and labels come from different RecordReaders (for example, different files), and labels are for classification.
SequenceRecordReaderDataSetIterator(SequenceRecordReader, SequenceRecordReader, int, int, boolean) - Constructor for class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
Constructor where features and labels come from different RecordReaders (for example, different files)
SequenceRecordReaderDataSetIterator(SequenceRecordReader, SequenceRecordReader, int, int, boolean, SequenceRecordReaderDataSetIterator.AlignmentMode) - Constructor for class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
Constructor where features and labels come from different RecordReaders (for example, different files)
SequenceRecordReaderDataSetIterator(SequenceRecordReader, int, int, int) - Constructor for class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
Constructor where features and labels come from the SAME RecordReader (i.e., target/label is a column in the same data as the features).
SequenceRecordReaderDataSetIterator(SequenceRecordReader, int, int, int, boolean) - Constructor for class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
Constructor where features and labels come from the SAME RecordReader (i.e., target/label is a column in the same data as the features)
SequenceRecordReaderDataSetIterator.AlignmentMode - Enum in org.deeplearning4j.datasets.datavec
Alignment mode for dealing with input/labels of differing lengths (for example, one-to-many and many-to-one type situations).
SequenceRecordReaderFunction - Class in org.datavec.local.transforms.functions
RecordReaderFunction: Given a SequenceRecordReader and a file(via InputStream), load and parse the sequence data into a List<List<Writable>>
SequenceRecordReaderFunction(SequenceRecordReader) - Constructor for class org.datavec.local.transforms.functions.SequenceRecordReaderFunction
 
SequenceRecordReaderFunction - Class in org.datavec.spark.functions
RecordReaderFunction: Given a SequenceRecordReader and a file (via Spark PortableDataStream), load and parse the sequence data into a List<List<Writable>>
SequenceRecordReaderFunction(SequenceRecordReader) - Constructor for class org.datavec.spark.functions.SequenceRecordReaderFunction
 
SequenceRecordSavePrepPairFunction - Class in org.datavec.spark.storage.functions
A simple function to prepare data for saving via SparkStorageUtils
SequenceRecordSavePrepPairFunction() - Constructor for class org.datavec.spark.storage.functions.SequenceRecordSavePrepPairFunction
 
SequenceRecordWritable - Class in org.datavec.hadoop.records.reader.mapfile.record
Created by Alex on 29/05/2017.
SequenceRecordWritable() - Constructor for class org.datavec.hadoop.records.reader.mapfile.record.SequenceRecordWritable
 
SequenceRecordWriter - Interface in org.datavec.api.records.writer
Sequence record writer
SequenceSchema - Class in org.datavec.api.transform.schema
A SequenceSchema is a Schema for sequential data.
SequenceSchema(List<ColumnMetaData>) - Constructor for class org.datavec.api.transform.schema.SequenceSchema
 
SequenceSchema(List<ColumnMetaData>, Integer, Integer) - Constructor for class org.datavec.api.transform.schema.SequenceSchema
 
SequenceSchema.Builder - Class in org.datavec.api.transform.schema
 
sequencesCount - Variable in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
 
SequenceSplit - Interface in org.datavec.api.transform.sequence
SequenceSplit interface: used to split a single sequence into multiple smaller subsequences, according to some criteria
SequenceSplitFunction - Class in org.datavec.local.transforms.transform
Created by Alex on 17/03/2016.
SequenceSplitFunction(SequenceSplit) - Constructor for class org.datavec.local.transforms.transform.SequenceSplitFunction
 
SequenceSplitFunction - Class in org.datavec.spark.transform.transform
Created by Alex on 17/03/2016.
SequenceSplitFunction(SequenceSplit) - Constructor for class org.datavec.spark.transform.transform.SequenceSplitFunction
 
SequenceSplitFunctionAdapter - Class in org.datavec.local.transforms.transform
Created by Alex on 17/03/2016.
SequenceSplitFunctionAdapter(SequenceSplit) - Constructor for class org.datavec.local.transforms.transform.SequenceSplitFunctionAdapter
 
SequenceSplitFunctionAdapter - Class in org.datavec.spark.transform.transform
Created by Alex on 17/03/2016.
SequenceSplitFunctionAdapter(SequenceSplit) - Constructor for class org.datavec.spark.transform.transform.SequenceSplitFunctionAdapter
 
SequenceSplitHelper() - Constructor for class org.datavec.api.transform.serde.legacy.LegacyMappingHelper.SequenceSplitHelper
 
SequenceSplitTimeSeparation - Class in org.datavec.api.transform.sequence.split
Split a sequence into multiple sequences, based on the separation of time steps in a time column.
SequenceSplitTimeSeparation(String, long, TimeUnit) - Constructor for class org.datavec.api.transform.sequence.split.SequenceSplitTimeSeparation
 
sequencesToMatrix(Integer[][], TokenizerMode) - Method in class org.deeplearning4j.nn.modelimport.keras.preprocessing.text.KerasTokenizer
Turns an array of index sequences into an ND4J matrix of shape (number of texts, number of words in vocabulary)
sequencesToTexts(Integer[][]) - Method in class org.deeplearning4j.nn.modelimport.keras.preprocessing.text.KerasTokenizer
Turns index sequences back into texts
SequenceToRows - Class in org.datavec.spark.transform.sparkfunction
Convert a record to a row
SequenceToRows(Schema) - Constructor for class org.datavec.spark.transform.sparkfunction.SequenceToRows
 
SequenceToRowsAdapter - Class in org.datavec.spark.transform.sparkfunction
Convert a record to a row
SequenceToRowsAdapter(Schema) - Constructor for class org.datavec.spark.transform.sparkfunction.SequenceToRowsAdapter
 
SequenceTransformer<T extends SequenceElement,V> - Interface in org.deeplearning4j.models.sequencevectors.transformers
 
SequenceTrimTransform - Class in org.datavec.api.transform.sequence.trim
SequenceTrimTranform removes the first or last N values in a sequence.
SequenceTrimTransform(int, boolean) - Constructor for class org.datavec.api.transform.sequence.trim.SequenceTrimTransform
 
SequenceVectors<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors
SequenceVectors implements abstract features extraction for Sequences and SequenceElements, using SkipGram, CBOW or DBOW (for Sequence features extraction).
SequenceVectors() - Constructor for class org.deeplearning4j.models.sequencevectors.SequenceVectors
 
SequenceVectors.AsyncSequencer - Class in org.deeplearning4j.models.sequencevectors
This class is used to fetch data from iterator in background thread, and convert it to List It becomes very usefull if text processing pipeline behind iterator is complex, and we're not loading data from simple text file with whitespaces as separator.
SequenceVectors.Builder<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors
 
SequenceWritablesToStringFunction - Class in org.datavec.local.transforms.misc
Simple function to map sequence examples to a String format (such as CSV) with given quote around the string value if it contains the delimiter.
SequenceWritablesToStringFunction() - Constructor for class org.datavec.local.transforms.misc.SequenceWritablesToStringFunction
Function with default delimiters ("," and "\n")
SequenceWritablesToStringFunction(String) - Constructor for class org.datavec.local.transforms.misc.SequenceWritablesToStringFunction
function with default delimiter ("\n") between time steps
SequenceWritablesToStringFunction(String, String) - Constructor for class org.datavec.local.transforms.misc.SequenceWritablesToStringFunction
 
SequenceWritablesToStringFunction - Class in org.datavec.spark.transform.misc
Simple function to map sequence examples to a String format (such as CSV) with given quote around the string value if it contains the delimiter.
SequenceWritablesToStringFunction() - Constructor for class org.datavec.spark.transform.misc.SequenceWritablesToStringFunction
Function with default delimiters ("," and "\n")
SequenceWritablesToStringFunction(String) - Constructor for class org.datavec.spark.transform.misc.SequenceWritablesToStringFunction
function with default delimiter ("\n") between time steps
SequenceWritablesToStringFunction(String, String) - Constructor for class org.datavec.spark.transform.misc.SequenceWritablesToStringFunction
 
SEQUENTIAL - Static variable in class org.nd4j.graph.ExecutionMode
 
SEQUENTIAL_ORDER - Static variable in class org.deeplearning4j.arbiter.server.ArbiterCliGenerator
 
SerializableCSVParser - Class in org.datavec.api.records.reader.impl.csv
A very simple CSV parser released under a commercial-friendly license.
SerializableCSVParser() - Constructor for class org.datavec.api.records.reader.impl.csv.SerializableCSVParser
Constructs CSVParser using a comma for the separator.
SerializableCSVParser(char) - Constructor for class org.datavec.api.records.reader.impl.csv.SerializableCSVParser
Constructs CSVParser with supplied separator.
SerializableCSVParser(char, char) - Constructor for class org.datavec.api.records.reader.impl.csv.SerializableCSVParser
Constructs CSVParser with supplied separator and quote char.
SerializableCSVParser(char, char, char) - Constructor for class org.datavec.api.records.reader.impl.csv.SerializableCSVParser
Constructs CSVReader with supplied separator and quote char.
SerializableCSVParser(char, char, char, boolean) - Constructor for class org.datavec.api.records.reader.impl.csv.SerializableCSVParser
Constructs CSVReader with supplied separator and quote char.
SerializableCSVParser(char, char, char, boolean, boolean) - Constructor for class org.datavec.api.records.reader.impl.csv.SerializableCSVParser
Constructs CSVReader with supplied separator and quote char.
Serialization<T> - Interface in org.datavec.api.io.serializers
Encapsulates a Serializer/Deserializer pair.
SerializationFactory - Class in org.datavec.api.io.serializers
A factory for Serializations.
SerializationFactory(Configuration) - Constructor for class org.datavec.api.io.serializers.SerializationFactory
Serializations are found by reading the io.serializations property from conf, which is a comma-delimited list of classnames.
SerializationUtils - Class in org.nd4j.linalg.util
Serialization utils for saving and reading serializable objects
SerializationUtils() - Constructor for class org.nd4j.linalg.util.SerializationUtils
 
serialize(T) - Method in interface org.datavec.api.io.serializers.Serializer
Serialize t to the underlying output stream.
serialize(TDigest, JsonGenerator, SerializerProvider) - Method in class org.datavec.api.transform.analysis.json.TDigestSerializer
 
serialize(Object) - Method in class org.datavec.api.transform.serde.BaseSerializer
Serialize the specified object, such as a Transform, Condition, Filter, etc
NOTE: For lists use the list methods, such as BaseSerializer.serializeTransformList(List)
serialize(Transform[]) - Method in class org.datavec.api.transform.serde.BaseSerializer
 
serialize(Filter[]) - Method in class org.datavec.api.transform.serde.BaseSerializer
 
serialize(Condition[]) - Method in class org.datavec.api.transform.serde.BaseSerializer
 
serialize(IAssociativeReducer[]) - Method in class org.datavec.api.transform.serde.BaseSerializer
 
serialize(SequenceComparator[]) - Method in class org.datavec.api.transform.serde.BaseSerializer
 
serialize(DataAction[]) - Method in class org.datavec.api.transform.serde.BaseSerializer
 
serialize(DateTimeFieldType, JsonGenerator, SerializerProvider) - Method in class org.datavec.api.util.jackson.DateTimeFieldTypeSerializer
 
serialize(Object, JsonGenerator, SerializerProvider) - Method in class org.deeplearning4j.arbiter.optimize.serde.jackson.GenericSerializer
 
serialize(IntegerDistribution, JsonGenerator, SerializerProvider) - Method in class org.deeplearning4j.arbiter.optimize.serde.jackson.IntegerDistributionSerializer
 
serialize(RealDistribution, JsonGenerator, SerializerProvider) - Method in class org.deeplearning4j.arbiter.optimize.serde.jackson.RealDistributionSerializer
 
serialize(ConfusionMatrix<Integer>, JsonGenerator, SerializerProvider) - Method in class org.deeplearning4j.eval.serde.ConfusionMatrixSerializer
 
serialize(ROC[], JsonGenerator, SerializerProvider) - Method in class org.deeplearning4j.eval.serde.ROCArraySerializer
 
serialize(ROC, JsonGenerator, SerializerProvider) - Method in class org.deeplearning4j.eval.serde.ROCSerializer
 
serialize(T) - Method in interface org.deeplearning4j.models.sequencevectors.interfaces.SequenceElementFactory
This method serializaes object into JSON string
serialize(T) - Method in class org.deeplearning4j.models.sequencevectors.serialization.AbstractElementFactory
This method serializaes object into JSON string
serialize(VocabWord) - Method in class org.deeplearning4j.models.sequencevectors.serialization.VocabWordFactory
This method serializaes object into JSON string
serialize(StorageLevel, JsonGenerator, SerializerProvider) - Method in class org.deeplearning4j.spark.util.serde.StorageLevelSerializer
 
serialize(INDArray, JsonGenerator, SerializerProvider) - Method in class org.nd4j.linalg.lossfunctions.serde.RowVectorSerializer
 
serialize(AtomicBoolean, JsonGenerator, SerializerProvider) - Method in class org.nd4j.linalg.primitives.serde.JsonSerializerAtomicBoolean
 
serialize(AtomicDouble, JsonGenerator, SerializerProvider) - Method in class org.nd4j.linalg.primitives.serde.JsonSerializerAtomicDouble
 
serialize(INDArray, JsonGenerator, SerializerProvider) - Method in class org.nd4j.shade.serde.jackson.ndarray.NDArraySerializer
 
serialize(INDArray, JsonGenerator, SerializerProvider) - Method in class org.nd4j.shade.serde.jackson.shaded.NDArraySerializer
 
serialize(INDArray, JsonGenerator, SerializerProvider) - Method in class org.nd4j.shade.serde.jackson.VectorSerializer
 
serializeConditionList(List<Condition>) - Method in class org.datavec.api.transform.serde.BaseSerializer
Serialize a list of Conditions
SERIALIZED_EXECUTOR_PARAMETERS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
 
serializeDataActionList(List<DataAction>) - Method in class org.datavec.api.transform.serde.BaseSerializer
Serialize a list of DataActions
SerializedDataSetLoader - Class in org.deeplearning4j.api.loader.impl
Loads DataSets using DataSet.load(InputStream)
SerializedDataSetLoader() - Constructor for class org.deeplearning4j.api.loader.impl.SerializedDataSetLoader
 
SerializedMultiDataSetLoader - Class in org.deeplearning4j.api.loader.impl
Loads DataSets using MultiDataSet.load(InputStream)
SerializedMultiDataSetLoader() - Constructor for class org.deeplearning4j.api.loader.impl.SerializedMultiDataSetLoader
 
SerializedSupplier<T> - Class in org.deeplearning4j.arbiter.optimize.generator.util
 
SerializedSupplier(T) - Constructor for class org.deeplearning4j.arbiter.optimize.generator.util.SerializedSupplier
 
serializeFilterList(List<Filter>) - Method in class org.datavec.api.transform.serde.BaseSerializer
Serialize a list of Filters
Serializer<T> - Interface in org.datavec.api.io.serializers
Provides a facility for serializing objects of type to an OutputStream.
serializeReducerList(List<IAssociativeReducer>) - Method in class org.datavec.api.transform.serde.BaseSerializer
Serialize a list of IReducers
serializeSequenceComparatorList(List<SequenceComparator>) - Method in class org.datavec.api.transform.serde.BaseSerializer
Serialize a list of SequenceComparators
serializeTransformList(List<Transform>) - Method in class org.datavec.api.transform.serde.BaseSerializer
Serialize a list of Transforms
serializeWithType(ROC, JsonGenerator, SerializerProvider, TypeSerializer) - Method in class org.deeplearning4j.eval.serde.ROCSerializer
 
SerializingListener<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.listeners
This is example VectorsListener implementation.
SerializingListener() - Constructor for class org.deeplearning4j.models.sequencevectors.listeners.SerializingListener
 
SerializingListener.Builder<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.listeners
 
serialVersionUID - Static variable in class org.deeplearning4j.aws.s3.BaseS3
 
serialVersionUID - Static variable in error org.nd4j.linalg.api.blas.BlasException
 
seriesColors - Variable in class org.deeplearning4j.ui.components.chart.style.StyleChart.Builder
 
seriesColors(Color...) - Method in class org.deeplearning4j.ui.components.chart.style.StyleChart.Builder
 
seriesColors(String...) - Method in class org.deeplearning4j.ui.components.chart.style.StyleChart.Builder
 
seriesColors - Variable in class org.deeplearning4j.ui.components.chart.style.StyleChart
 
server - Variable in class org.datavec.spark.transform.SparkTransformServer
 
serverShutdown(String) - Static method in class org.deeplearning4j.gym.Client
Shutdown the server at the url
serverShutdown() - Method in class org.deeplearning4j.gym.Client
Shutdown the server at the same url than this client
ServerState - Enum in org.nd4j.parameterserver.model
Server state for the parameter server stopped or started
ServerType - Enum in org.nd4j.parameterserver.model
Server opType: master or slave
serverType() - Method in class org.nd4j.parameterserver.model.SubscriberState
Return the server opType (master or slave)
ServerTypeJson - Class in org.nd4j.parameterserver.model
Created by agibsonccc on 10/9/16.
ServerTypeJson() - Constructor for class org.nd4j.parameterserver.model.ServerTypeJson
 
sessionExists(String) - Method in interface org.deeplearning4j.api.storage.StatsStorage
Check if the specified session ID exists or not
sessionExists(String) - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
sessionExists(String) - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
 
sessionId - Variable in class org.deeplearning4j.arbiter.ui.data.BaseJavaPersistable.Builder
 
sessionId(String) - Method in class org.deeplearning4j.arbiter.ui.data.BaseJavaPersistable.Builder
 
sessionID() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
sessionID(String) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
sessionID() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
sessionID(String) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
sessionID() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
sessionID(String) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
sessionIDCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
sessionIDCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
sessionIDCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
sessionIDCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
sessionIDCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
sessionIDCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
sessionIDHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
sessionIDHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
sessionIDHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
sessionIDHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
sessionIDHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
sessionIDHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
sessionIDId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
sessionIDId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
sessionIDId() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
sessionIDId() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
sessionIDId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
sessionIDId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
sessionIDLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
sessionIDLength() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
sessionIDLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
sessionIDMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
sessionIDMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
sessionIDMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
sessionIDMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
sessionIDMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
sessionIDMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
sessionIDs - Variable in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
sessionOptionsToJson() - Method in class org.nd4j.tensorflow.conversion.graphrunner.GraphRunner
Write out the session options used by this GraphRunner a s a json string using the JsonFormat
SessionTypeId() - Constructor for class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage.SessionTypeId
 
SessionTypeWorkerId(String, String, String) - Constructor for class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage.SessionTypeWorkerId
 
set(int, int) - Method in class com.atilika.kuromoji.compile.WordIdMapCompiler.GrowableIntArray
 
set(String, String) - Method in class org.datavec.api.conf.Configuration
Set the value of the name property.
set(byte[]) - Method in class org.datavec.api.records.Buffer
Use the specified bytes array as underlying sequence.
set(int, List<List<Writable>>) - Method in class org.datavec.api.writable.batch.AbstractTimeSeriesWritableRecordBatch
 
set(List<Writable>) - Method in class org.datavec.api.writable.batch.AbstractWritableRecordBatch.RecordBatchListIterator
 
set(int, List<Writable>) - Method in class org.datavec.api.writable.batch.AbstractWritableRecordBatch
 
set(boolean) - Method in class org.datavec.api.writable.BooleanWritable
Set the value of the BooleanWritable
set(byte) - Method in class org.datavec.api.writable.ByteWritable
Set the value of this ByteWritable.
set(double) - Method in class org.datavec.api.writable.DoubleWritable
 
set(float) - Method in class org.datavec.api.writable.FloatWritable
Set the value of this FloatWritable.
set(int) - Method in class org.datavec.api.writable.IntWritable
Set the value of this IntWritable.
set(long) - Method in class org.datavec.api.writable.LongWritable
Set the value of this LongWritable.
set(INDArray) - Method in class org.datavec.api.writable.NDArrayWritable
 
set(String) - Method in class org.datavec.api.writable.Text
Set to contain the contents of a string.
set(byte[]) - Method in class org.datavec.api.writable.Text
Set to a utf8 byte array
set(Text) - Method in class org.datavec.api.writable.Text
copy a text.
set(byte[], int, int) - Method in class org.datavec.api.writable.Text
Set the Text to range of bytes
set(int, List<Writable>) - Method in class org.datavec.arrow.recordreader.ArrowWritableRecordBatch
 
set(int, List<List<Writable>>) - Method in class org.datavec.arrow.recordreader.ArrowWritableRecordTimeSeriesBatch
 
set(boolean, int) - Method in class org.deeplearning4j.datasets.iterator.parallel.MultiBoolean
Sets specified entry to specified state
Set - Class in org.nd4j.linalg.api.ops.impl.transforms
Set
Set(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Set
 
Set(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Set
 
Set(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Set
 
Set(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Set
 
Set() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Set
 
Set(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Set
 
Set(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Set
 
Set(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Set
 
set(int, String) - Method in class org.nd4j.linalg.collection.CompactHeapStringList
 
set(int[], long, long, long) - Method in class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
PLEASE NOTE: length, srcOffset, dstOffset are considered numbers of elements, not byte offsets
set(long[], long, long, long) - Method in class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
set(float[], long, long, long) - Method in class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
PLEASE NOTE: length, srcOffset, dstOffset are considered numbers of elements, not byte offsets
set(double[], long, long, long) - Method in class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
PLEASE NOTE: length, srcOffset, dstOffset are considered numbers of elements, not byte offsets
set(Pointer) - Method in class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
Deprecated.
set(long, long, Pointer, long) - Method in class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
Deprecated.
set(long, long, Pointer) - Method in class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
Deprecated.
set(long, Pointer) - Method in class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
Deprecated.
set(T) - Method in class org.nd4j.linalg.primitives.SynchronizedObject
This method updates stored value via write lock
set(Throwable) - Method in class org.nd4j.linalg.util.AtomicThrowable
This method updates state with given Throwable
set(int, T) - Method in class org.nd4j.linalg.util.DeviceLocal
This method sets object for specific device
set(T) - Method in class org.nd4j.linalg.util.DeviceLocal
This method sets object for current device
set(K, V) - Method in class org.nd4j.linalg.util.LinkedMultiValueMap
 
set(K, V) - Method in interface org.nd4j.linalg.util.MultiValueMap
 
set(int, X) - Method in class org.nd4j.list.BaseNDArrayList
 
set(int, X) - Method in class org.nd4j.list.matrix.MatrixBaseNDArrayList
 
set(int, Double) - Method in class org.nd4j.list.NDArrayList
 
setAbsTolx(double) - Method in class org.deeplearning4j.optimize.solvers.BackTrackLineSearch
Sets the tolerance of absolute diff in function value.
setAction(double[]) - Method in class vizdoom.DoomGame
 
setActivationsSize(long) - Method in class org.nd4j.nativeblas.Nd4jCpu.NodeProfile
 
setActivationsSize(long) - Method in class org.nd4j.nativeblas.Nd4jCuda.NodeProfile
 
setActive(boolean) - Method in class org.ansj.domain.NewWord
 
setActiveBranch(String, int) - Method in class org.nd4j.autodiff.samediff.flow.FlowPath
This method sets active/inactive branch for divergent nodes (aka Switch)
setAddress(String) - Method in class org.deeplearning4j.ui.UiConnectionInfo.Builder
 
setAlias(int, String) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
Create *additional* API endpoints with different names (contrast with rename_to, which affects the original name).
setAliasInputPort(long) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
If >= 0, the output is an alias of an input.
setAll(Map<K, V>) - Method in class org.nd4j.linalg.util.LinkedMultiValueMap
 
setAll(Map<K, V>) - Method in interface org.nd4j.linalg.util.MultiValueMap
 
setAllEndRelMicros(long) - Method in class org.tensorflow.framework.NodeExecStats.Builder
int64 all_end_rel_micros = 5;
setAllocatedBytes(long) - Method in class org.tensorflow.framework.AllocationDescription.Builder
Total number of bytes allocated if known
setAllocationDescription(AllocationDescription) - Method in class org.tensorflow.framework.TensorDescription.Builder
Information about the size and allocator used for the data
setAllocationDescription(AllocationDescription.Builder) - Method in class org.tensorflow.framework.TensorDescription.Builder
Information about the size and allocator used for the data
setAllocationId(long) - Method in class org.tensorflow.framework.AllocationDescription.Builder
Identifier of the allocated buffer if known
setAllocationId(long) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
Id of the tensor buffer being allocated, used to match to a corresponding deallocation.
setAllocationId(long) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
Id of the tensor buffer being deallocated, used to match to a corresponding allocation.
setAllocationId(long) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
Id of the tensor buffer being deallocated, used to match to a corresponding allocation.
setAllocationMode(DataBuffer.AllocationMode) - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory
Setter for the allocation mode
setAllocationMode(DataBuffer.AllocationMode) - Method in class org.nd4j.linalg.api.buffer.factory.DefaultDataBufferFactory
 
setAllocationMode(DataBuffer.AllocationMode) - Method in class org.nd4j.linalg.jcublas.buffer.factory.CudaDataBufferFactory
 
setAllocationModeForContext(DataBuffer.AllocationMode) - Static method in class org.nd4j.linalg.api.buffer.util.AllocUtil
Set the allocation mode for the nd4j context The value must be one of: heap, java cpp, or direct or an @link{IllegalArgumentException} is thrown
setAllocationModeForContext(String) - Static method in class org.nd4j.linalg.api.buffer.util.AllocUtil
Set the allocation mode for the nd4j context The value must be one of: heap, java cpp, or direct or an @link{IllegalArgumentException} is thrown
setAllocationModel(Configuration.AllocationModel) - Method in class org.nd4j.jita.conf.Configuration
This method allows to specify allocation model for memory.
setAllocationRecords(int, AllocationRecord) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
The allocation and deallocation timeline.
setAllocationRecords(int, AllocationRecord.Builder) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
The allocation and deallocation timeline.
setAllocationStatus(AllocationStatus) - Method in class org.nd4j.jita.allocator.impl.AllocationPoint
This method sets specified AllocationStatus for this point
setAllocatorBytesInUse(long) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
These are snapshots of the overall allocator memory stats.
setAllocatorName(String) - Method in class org.tensorflow.framework.AllocationDescription.Builder
Name of the allocator used
setAllocatorName(String) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
string allocator_name = 1;
setAllocatorName(String) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
Name of the allocator used.
setAllocatorName(String) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
Name of the allocator used.
setAllocatorName(String) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
Name of the allocator used.
setAllocatorNameBytes(ByteString) - Method in class org.tensorflow.framework.AllocationDescription.Builder
Name of the allocator used
setAllocatorNameBytes(ByteString) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
string allocator_name = 1;
setAllocatorNameBytes(ByteString) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
Name of the allocator used.
setAllocatorNameBytes(ByteString) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
Name of the allocator used.
setAllocatorNameBytes(ByteString) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
Name of the allocator used.
setAllocBytes(long) - Method in class org.tensorflow.framework.AllocationRecord.Builder
Number of bytes allocated, or de-allocated if negative.
setAllocMicros(long) - Method in class org.tensorflow.framework.AllocationRecord.Builder
The timestamp of the operation.
setAllowedValues(AttrValue) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
A list of values that this kernel supports for this attr.
setAllowedValues(AttrValue.Builder) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
A list of values that this kernel supports for this attr.
setAllowedValues(AttrValue) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
The set of allowed values.
setAllowedValues(AttrValue.Builder) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
The set of allowed values.
setAllowsUninitializedInput(boolean) - Method in class org.tensorflow.framework.OpDef.Builder
By default, all inputs to an Op must be initialized Tensors.
setAllStartMicros(long) - Method in class org.tensorflow.framework.NodeExecStats.Builder
int64 all_start_micros = 2;
setAlpha(double) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam.Builder
Deprecated.
 
setAlpha(double) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam
Deprecated.
 
setAlpha(double) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
setAmbiguityForest(Forest) - Method in class org.ansj.splitWord.Analysis
 
setAnalysisEngine(AnalysisEngine) - Method in class org.datavec.nlp.uima.UimaResource
 
setAnalysisEngine(AnalysisEngine) - Method in class org.deeplearning4j.text.uima.UimaResource
 
setAnalysisType(T) - Method in class org.ansj.app.keyword.KeyWordComputer
 
setArgOrder(int, String) - Method in class org.tensorflow.framework.ApiDef.Builder
List of original in_arg names to specify new argument order.
setArray(INDArray) - Method in interface org.nd4j.aeron.ipc.NDArrayHolder
Set the ndarray
setArray(INDArray) - Method in class org.nd4j.aeron.ndarrayholder.InMemoryNDArrayHolder
Set the ndarray
setArray(INDArray) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
setArray(Integer, INDArray) - Method in class org.nd4j.parameterserver.distributed.logic.storage.BaseStorage
 
setArray(Integer, INDArray) - Method in interface org.nd4j.parameterserver.distributed.logic.Storage
 
setArrayTime(long) - Method in class org.nd4j.nativeblas.Nd4jCpu.NodeProfile
 
setArrayTime(long) - Method in class org.nd4j.nativeblas.Nd4jCuda.NodeProfile
 
setAttr(int, ApiDef.Attr) - Method in class org.tensorflow.framework.ApiDef.Builder
repeated .tensorflow.ApiDef.Attr attr = 6;
setAttr(int, ApiDef.Attr.Builder) - Method in class org.tensorflow.framework.ApiDef.Builder
repeated .tensorflow.ApiDef.Attr attr = 6;
setAttr(int, OpDef.AttrDef) - Method in class org.tensorflow.framework.OpDef.Builder
repeated .tensorflow.OpDef.AttrDef attr = 4;
setAttr(int, OpDef.AttrDef.Builder) - Method in class org.tensorflow.framework.OpDef.Builder
repeated .tensorflow.OpDef.AttrDef attr = 4;
setAttrDefault(int, OpGenOverridesOuterClass.OpGenOverride.AttrDefault) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
repeated .tensorflow.OpGenOverride.AttrDefault attr_default = 6;
setAttrDefault(int, OpGenOverridesOuterClass.OpGenOverride.AttrDefault.Builder) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
repeated .tensorflow.OpGenOverride.AttrDefault attr_default = 6;
setAttribute(int, OnnxMlProto3.AttributeProto) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
Additional named attributes.
setAttribute(int, OnnxMlProto3.AttributeProto.Builder) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
Additional named attributes.
setAttribute(int, OnnxProto3.AttributeProto) - Method in class onnx.OnnxProto3.NodeProto.Builder
Additional named attributes.
setAttribute(int, OnnxProto3.AttributeProto.Builder) - Method in class onnx.OnnxProto3.NodeProto.Builder
Additional named attributes.
setAttrRename(int, OpGenOverridesOuterClass.OpGenOverride.Rename) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
repeated .tensorflow.OpGenOverride.Rename attr_rename = 7;
setAttrRename(int, OpGenOverridesOuterClass.OpGenOverride.Rename.Builder) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
repeated .tensorflow.OpGenOverride.Rename attr_rename = 7;
setAudio(Summary.Audio) - Method in class org.tensorflow.framework.Summary.Value.Builder
.tensorflow.Summary.Audio audio = 6;
setAudio(Summary.Audio.Builder) - Method in class org.tensorflow.framework.Summary.Value.Builder
.tensorflow.Summary.Audio audio = 6;
setAudioFormat(int) - Method in class org.datavec.audio.WaveHeader
 
setAutoGcWindow(int) - Method in class org.nd4j.jita.memory.CudaMemoryManager
 
setAutoGcWindow(int) - Method in class org.nd4j.linalg.memory.BasicMemoryManager
 
setAutoGcWindow(int) - Method in interface org.nd4j.linalg.memory.MemoryManager
This method enables/disables periodic System.gc() calls.
setAutomapBufferEnabled(boolean) - Method in class vizdoom.DoomGame
 
setAutomapMode(AutomapMode) - Method in class vizdoom.DoomGame
 
setAutomapRenderTextures(boolean) - Method in class vizdoom.DoomGame
 
setAutomapRotate(boolean) - Method in class vizdoom.DoomGame
 
setAvailableButtons(Button[]) - Method in class vizdoom.DoomGame
 
setAvailableGameVariables(GameVariable[]) - Method in class vizdoom.DoomGame
 
setB(boolean) - Method in class org.tensorflow.framework.AttrValue.Builder
"bool"
setB(int, boolean) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(bool)"
setBackpropGradientsViewArray(INDArray) - Method in interface org.deeplearning4j.nn.api.Model
Set the gradients array as a view of the full (backprop) network parameters NOTE: this is intended to be used internally in MultiLayerNetwork and ComputationGraph, not by users.
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.graph.vertex.BaseWrapperVertex
 
setBackpropGradientsViewArray(INDArray) - Method in interface org.deeplearning4j.nn.graph.vertex.GraphVertex
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.graph.vertex.impl.ElementWiseVertex
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.graph.vertex.impl.InputVertex
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.graph.vertex.impl.L2NormalizeVertex
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.graph.vertex.impl.L2Vertex
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.graph.vertex.impl.LayerVertex
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.graph.vertex.impl.MergeVertex
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.graph.vertex.impl.PoolHelperVertex
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.graph.vertex.impl.PreprocessorVertex
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.graph.vertex.impl.ReshapeVertex
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.graph.vertex.impl.rnn.DuplicateToTimeSeriesVertex
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.graph.vertex.impl.rnn.LastTimeStepVertex
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.graph.vertex.impl.rnn.ReverseTimeSeriesVertex
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.graph.vertex.impl.ScaleVertex
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.graph.vertex.impl.ShiftVertex
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.graph.vertex.impl.StackVertex
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.graph.vertex.impl.SubsetVertex
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.graph.vertex.impl.UnstackVertex
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.layers.BaseLayer
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.layers.FrozenLayer
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.layers.FrozenLayerWithBackprop
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.layers.samediff.SameDiffGraphVertex
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.layers.samediff.SameDiffLayer
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.layers.samediff.SameDiffOutputLayer
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
setBackupAddresses(List<String>) - Method in class org.nd4j.parameterserver.distributed.conf.VoidConfiguration
 
setBackupAddresses(String...) - Method in class org.nd4j.parameterserver.distributed.conf.VoidConfiguration
 
setBadConsumers(int, int) - Method in class org.tensorflow.framework.VersionDef.Builder
Specific consumer versions which are disallowed (e.g.
setBaseDirectory(File) - Static method in class org.deeplearning4j.common.resources.DL4JResources
Set the base directory for local storage of files.
setBaseDownloadURL(String) - Static method in class org.deeplearning4j.common.resources.DL4JResources
Set the base download URL for (most) DL4J datasets and models.
This usually doesn't need to be set manually unless there is some issue with the default location
setBaseNameForFunctionInstanceId(String, DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.SameDiff
Sets a base name for the function id.
setBaseUrl(String) - Static method in class org.deeplearning4j.datasets.fetchers.SvhnDataFetcher
 
setBatchSize(int) - Method in interface org.deeplearning4j.optimize.api.ConvexOptimizer
Set the batch size for the optimizer
setBatchSize(int) - Method in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
setBegin(long) - Method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
int64 begin = 1;
setBegin(long) - Method in class onnx.OnnxProto3.TensorProto.Segment.Builder
int64 begin = 1;
setBegin(int) - Method in class org.datavec.nlp.movingwindow.Window
 
setBegin(int) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
setBegin(int) - Method in class org.deeplearning4j.text.movingwindow.Window
 
setBias(INDArray) - Method in class org.deeplearning4j.models.glove.GloveWeightLookupTable
Deprecated.
 
setBiasCorrected(boolean) - Method in class org.nd4j.linalg.api.ops.impl.accum.Variance
 
setBinCount(int) - Method in class org.deeplearning4j.ui.weights.HistogramBin.Builder
Specifies number of bins for output histogram
setBitsPerSample(int) - Method in class org.datavec.audio.WaveHeader
 
setBlasWrapper(BlasWrapper) - Static method in class org.nd4j.linalg.factory.Nd4j
Sets the global blas wrapper
setBlockAlign(int) - Method in class org.datavec.audio.WaveHeader
 
setBoolean(String, boolean) - Method in class org.datavec.api.conf.Configuration
Set the value of the name property to a boolean.
setBooleanIfUnset(String, boolean) - Method in class org.datavec.api.conf.Configuration
Set the given property, if it is currently unset.
setBoolVal(int, boolean) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_BOOL
setBoundary(Cell) - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
 
setBranch(int) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleContext
 
setBranch(int) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatContext
 
setBranch(int) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfContext
 
setBranch(int) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleContext
 
setBranch(int) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatContext
 
setBranch(int) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfContext
 
setBucket(int, double) - Method in class org.tensorflow.framework.HistogramProto.Builder
repeated double bucket = 7 [packed = true];
setBucketLimit(int, double) - Method in class org.tensorflow.framework.HistogramProto.Builder
Parallel arrays encoding the bucket boundaries and the bucket values.
setBuffer(DoublePointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
set _buffer
setBuffer(DoubleBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
setBuffer(double[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
setBuffer(FloatPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
set _buffer
setBuffer(FloatBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
setBuffer(float[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
setBuffer(ShortPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
set _buffer
setBuffer(ShortBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
setBuffer(short[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
setBuffer(DoublePointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
set _buffer
setBuffer(DoubleBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
setBuffer(double[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
setBuffer(FloatPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
set _buffer
setBuffer(FloatBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
setBuffer(float[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
setBuffer(ShortPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
set _buffer
setBuffer(ShortBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
setBuffer(short[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
setBufferSizePerSplit(int) - Method in class org.deeplearning4j.datasets.iterator.parallel.JointParallelDataSetIterator.Builder
 
setBuildTime(long) - Method in class org.nd4j.nativeblas.Nd4jCpu.GraphProfile
This method allows to set graph construction (i.e.
setBuildTime(long) - Method in class org.nd4j.nativeblas.Nd4jCpu.NodeProfile
 
setBuildTime(long) - Method in class org.nd4j.nativeblas.Nd4jCuda.GraphProfile
This method allows to set graph construction (i.e.
setBuildTime(long) - Method in class org.nd4j.nativeblas.Nd4jCuda.NodeProfile
 
setBusId(int) - Method in class org.tensorflow.framework.DeviceLocality.Builder
Optional bus locality of device.
setButtonMaxValue(Button, double) - Method in class vizdoom.DoomGame
 
setByteRate(long) - Method in class org.datavec.audio.WaveHeader
 
setCacheMode(CacheMode) - Method in interface org.deeplearning4j.nn.api.Layer
This method sets given CacheMode for current layer
setCacheMode(CacheMode) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
This method sets specified CacheMode for all layers within network
setCacheMode(CacheMode) - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
setCacheMode(CacheMode) - Method in class org.deeplearning4j.nn.layers.FrozenLayer
 
setCacheMode(CacheMode) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
setCacheMode(CacheMode) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
setCacheMode(CacheMode) - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
setCacheMode(CacheMode) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
This method sets specified CacheMode for all layers within network
setCachePerDevice(long) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec.Builder
This method lets you to define if decompressed values will be cached, to avoid excessive decompressions.
setCapacity(int) - Method in class org.datavec.api.records.Buffer
Change the capacity of the backing storage.
setCasPool(CasPool) - Method in class org.datavec.nlp.uima.UimaResource
 
setCasPool(CasPool) - Method in class org.deeplearning4j.text.uima.UimaResource
 
setCategories(char, String[]) - Method in class com.atilika.kuromoji.dict.CharacterDefinitions
 
setCenterOfMass(INDArray) - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
 
setChannels(int) - Method in class org.datavec.audio.WaveHeader
 
setChars(char[], int, int) - Method in interface org.ansj.splitWord.GetWords
 
setChars(char[], int, int) - Method in class org.ansj.splitWord.impl.GetWordsImpl
 
setChunkId(String) - Method in class org.datavec.audio.WaveHeader
 
setChunkSize(long) - Method in class org.datavec.audio.WaveHeader
 
setClass(String, Class<?>, Class<?>) - Method in class org.datavec.api.conf.Configuration
Set the value of the name property to the name of a theClass implementing the given interface xface.
setClassLoader(ClassLoader) - Method in class org.datavec.api.conf.Configuration
Set the class loader that will be used to load the various objects.
setClustersInfos(Map<String, ClusterInfo>) - Method in class org.deeplearning4j.clustering.info.ClusterSetInfo
 
setCodeLength(short) - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
This method fills codes and points up to codeLength
setCodes(Map<Integer, INDArray>) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
setCodes(List<Byte>) - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
Sets Huffman tree codes
setCollectMetaData(boolean) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
When set to true: metadata for the current examples will be present in the returned DataSet.
setCollectTrainingStats(boolean) - Method in interface org.deeplearning4j.spark.api.TrainingMaster
Set whether the training statistics should be collected.
setCollectTrainingStats(boolean) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
 
setCollectTrainingStats(boolean) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
Set whether training statistics should be collected for debugging purposes.
setCollectTrainingStats(boolean) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
setCollectTrainingStats(boolean) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
setColorspace(int) - Method in class org.tensorflow.framework.Summary.Image.Builder
Valid colorspace values are 1 - grayscale 2 - grayscale + alpha 3 - RGB 4 - RGBA 5 - DIGITAL_YUV 6 - BGRA
setColumnNames(List<String>) - Method in interface org.nd4j.linalg.dataset.api.DataSet
 
setColumnNames(List<String>) - Method in class org.nd4j.linalg.dataset.DataSet
Deprecated.
setCommandLanesNumber(int) - Method in class org.nd4j.jita.conf.Configuration
This method allows you to specify maximum number of probable parallel cuda processes Default value: 4 PLEASE NOTE: This parameter has effect only for ASYNCHRONOUS execution model
setCommandQueueLength(int) - Method in class org.nd4j.jita.conf.Configuration
This method allows you to specify command queue length, as primary argument for asynchronous execution controller Default value: 3
setComplete(String, boolean) - Method in interface org.nd4j.linalg.dataset.api.iterator.cache.DataSetCache
Sets the flag indicating whether given namespace is fully cached
setComplete(String, boolean) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InFileAndMemoryDataSetCache
 
setComplete(String, boolean) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InFileDataSetCache
 
setComplete(String, boolean) - Method in class org.nd4j.linalg.dataset.api.iterator.cache.InMemoryDataSetCache
 
setCompressor(NDArrayCompressor) - Method in class org.nd4j.storage.CompressedRamStorage.Builder
This method defines, which compression algorithm will be used during storage Default value: NoOp();
setComputeCost(long) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
Estimate of the computational cost of this node, in microseconds.
setComputeTime(long) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
Analytical estimate of the computational cost of this node, in microseconds.
setConf(Configuration) - Method in interface org.datavec.api.conf.Configurable
Set the configuration to be used by this object.
setConf(Configuration) - Method in class org.datavec.api.conf.Configured
 
setConf(Configuration) - Method in class org.datavec.api.records.reader.impl.collection.CollectionRecordReader
 
setConf(Configuration) - Method in class org.datavec.api.records.reader.impl.collection.CollectionSequenceRecordReader
 
setConf(Configuration) - Method in class org.datavec.api.records.reader.impl.collection.ListStringRecordReader
Set the configuration to be used by this object.
setConf(Configuration) - Method in class org.datavec.api.records.reader.impl.ComposableRecordReader
 
setConf(Configuration) - Method in class org.datavec.api.records.reader.impl.ConcatenatingRecordReader
 
setConf(Configuration) - Method in class org.datavec.api.records.reader.impl.FileRecordReader
 
setConf(Configuration) - Method in class org.datavec.api.records.reader.impl.inmemory.InMemoryRecordReader
Set the configuration to be used by this object.
setConf(Configuration) - Method in class org.datavec.api.records.reader.impl.inmemory.InMemorySequenceRecordReader
Set the configuration to be used by this object.
setConf(Configuration) - Method in class org.datavec.api.records.reader.impl.jackson.JacksonRecordReader
 
setConf(Configuration) - Method in class org.datavec.api.records.reader.impl.jdbc.JDBCRecordReader
 
setConf(Configuration) - Method in class org.datavec.api.records.reader.impl.LineRecordReader
 
setConf(Configuration) - Method in class org.datavec.api.records.reader.impl.misc.LibSvmRecordReader
 
setConf(Configuration) - Method in class org.datavec.api.records.reader.impl.misc.SVMLightRecordReader
Set configuration.
setConf(Configuration) - Method in class org.datavec.api.records.reader.impl.transform.TransformProcessRecordReader
Set the configuration to be used by this object.
setConf(Configuration) - Method in class org.datavec.api.records.reader.impl.transform.TransformProcessSequenceRecordReader
Set the configuration to be used by this object.
setConf(Configuration) - Method in class org.datavec.api.records.writer.impl.FileRecordWriter
 
setConf(Configuration) - Method in class org.datavec.api.records.writer.impl.misc.SVMLightRecordWriter
Set DataVec configuration
setConf(Object, Configuration) - Static method in class org.datavec.api.util.ReflectionUtils
Deprecated.
Check and set 'configuration' if necessary.
setConf(Configuration) - Method in class org.datavec.arrow.recordreader.ArrowRecordReader
 
setConf(Configuration) - Method in class org.datavec.arrow.recordreader.ArrowRecordWriter
 
setConf(Configuration) - Method in class org.datavec.audio.recordreader.BaseAudioRecordReader
 
setConf(Configuration) - Method in class org.datavec.codec.reader.BaseCodecRecordReader
 
setConf(Configuration) - Method in class org.datavec.codec.reader.CodecRecordReader
 
setConf(Configuration) - Method in class org.datavec.codec.reader.NativeCodecRecordReader
 
setConf(Configuration) - Method in class org.datavec.hadoop.records.reader.mapfile.MapFileRecordReader
 
setConf(Configuration) - Method in class org.datavec.hadoop.records.reader.mapfile.MapFileSequenceRecordReader
 
setConf(Configuration) - Method in class org.datavec.hadoop.records.writer.mapfile.AbstractMapFileWriter
 
setConf(Configuration) - Method in class org.datavec.image.recordreader.BaseImageRecordReader
 
setConf(Configuration) - Method in class org.datavec.image.recordreader.VideoRecordReader
 
setConf(Configuration) - Method in class org.datavec.nlp.reader.TfidfRecordReader
 
setConf(NeuralNetConfiguration) - Method in interface org.deeplearning4j.nn.api.Model
Setter for the configuration
setConf(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
setConf(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
setConf(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
setConf(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
setConf(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
setConf(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
setConf(NeuralNetConfiguration) - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
setConf(Configuration) - Method in class org.deeplearning4j.spark.datavec.iterator.SparkSourceDummyReader
 
setConfiguration(T, WorkspaceConfiguration) - Method in class org.nd4j.linalg.workspace.BaseWorkspaceMgr
 
setConfiguration(T, WorkspaceConfiguration) - Method in interface org.nd4j.linalg.workspace.WorkspaceMgr
Set the workspace configuration for the specified array type
setConsoleEnabled(boolean) - Method in class vizdoom.DoomGame
 
setConstant(boolean) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
This method allows you to mark databuffer as constant.
setConstant(boolean) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
This method allows you to mark databuffer as constant.
setConstNodeInfo(int, GraphTransferInfo.ConstNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.ConstNodeInfo const_node_info = 2;
setConstNodeInfo(int, GraphTransferInfo.ConstNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.ConstNodeInfo const_node_info = 2;
setConstraint(int, KernelDef.AttrConstraint) - Method in class org.tensorflow.framework.KernelDef.Builder
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
setConstraint(int, KernelDef.AttrConstraint.Builder) - Method in class org.tensorflow.framework.KernelDef.Builder
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
setConstraints(List<LayerConstraint>) - Method in class org.deeplearning4j.nn.conf.layers.misc.FrozenLayer
 
setConstraints(List<LayerConstraint>) - Method in class org.deeplearning4j.nn.conf.layers.misc.FrozenLayerWithBackprop
 
setContainer(String) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
Container in which this resource is placed.
setContainerBytes(ByteString) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
Container in which this resource is placed.
setContent(ByteString) - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
The content to store for the plugin.
setContentionTracing(boolean) - Static method in class org.nd4j.util.ReflectionUtils
 
setContentType(String) - Method in class org.tensorflow.framework.Summary.Audio.Builder
string content_type = 5;
setContentTypeBytes(ByteString) - Method in class org.tensorflow.framework.Summary.Audio.Builder
string content_type = 5;
setControlInput(int, int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
Ids of the control inputs for this node.
setConvolution(ConvolutionInstance) - Static method in class org.nd4j.linalg.factory.Nd4j
Set a convolution instance
setCoOccurrenceCounts(Broadcast<CounterMap<String, String>>) - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveParam
 
setCorner(int, double) - Method in class org.deeplearning4j.clustering.sptree.Cell
 
setCorner(INDArray) - Method in class org.deeplearning4j.clustering.sptree.Cell
 
setCount(AtomicInteger) - Method in class org.deeplearning4j.models.word2vec.StreamWork
 
setCount(AtomicInteger) - Method in class org.deeplearning4j.models.word2vec.VocabWork
 
setCount(T, double) - Method in class org.nd4j.linalg.primitives.Counter
This method sets new counter value for given element
setCount(F, S, double) - Method in class org.nd4j.linalg.primitives.CounterMap
This method allows you to set counter value for a given first/second pair
setCounter(int) - Method in class org.deeplearning4j.parallelism.inference.observers.BatchedInferenceObservable
 
setCountForDoc(String, long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Set exact number of observed documents that contain specified word Please note: this method is NOT thread-safe
setCountForDoc(String, long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
setCountForDoc(String, long) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Set the count for the number of documents the word appears in
setCreds(AWSCredentials) - Method in class org.deeplearning4j.aws.s3.BaseS3
 
setCrfModel(SplitWord) - Method in class org.ansj.splitWord.analysis.NlpAnalysis
 
setCSVTransformProcess(TransformProcess) - Method in class org.datavec.spark.transform.client.DataVecTransformClient
 
setCSVTransformProcess(TransformProcess) - Method in class org.datavec.spark.transform.CSVSparkTransformServer
 
setCSVTransformProcess(TransformProcess) - Method in class org.datavec.spark.transform.ImageSparkTransformServer
 
setCSVTransformProcess(TransformProcess) - Method in interface org.datavec.spark.transform.service.DataVecTransformService
 
setCumSize(int) - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
 
setCumSize(int) - Method in class org.deeplearning4j.clustering.sptree.SpTree
 
setCurrent(int) - Method in class org.datavec.image.mnist.MnistManager
Set the position to be read.
setCurrent(int) - Method in class org.deeplearning4j.datasets.mnist.MnistManager
Set the position to be read.
setCurrentContext(CudaContext) - Method in class org.nd4j.jita.allocator.impl.AllocationPoint
 
setCurrentFile(File) - Method in class org.datavec.image.recordreader.BaseImageRecordReader
Sets manually the file returned by BaseImageRecordReader.getCurrentFile().
setCurrentIndex(long) - Method in class org.datavec.image.mnist.MnistDbFile
Set the required current entry index.
setCurrentIndex(long) - Method in class org.deeplearning4j.datasets.mnist.MnistDbFile
Set the required current entry index.
setCurrentWork(ByteString) - Method in class org.tensorflow.framework.ReaderBaseState.Builder
bytes current_work = 4;
setCurrentWorkspace(MemoryWorkspace) - Method in class org.nd4j.linalg.memory.BasicMemoryManager
 
setCurrentWorkspace(MemoryWorkspace) - Method in interface org.nd4j.linalg.memory.MemoryManager
 
setData(INDArray) - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
setData(float[], INDArray) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil
Set the data for the underlying array.
setData(double[], INDArray) - Static method in class org.nd4j.linalg.api.blas.BlasBufferUtil
Set the data for the underlying array.
setData(DataBuffer, int, int, int) - Method in interface org.nd4j.linalg.api.buffer.allocation.MemoryStrategy
Set the data for the buffer
setData(DataBuffer, int) - Method in interface org.nd4j.linalg.api.buffer.allocation.MemoryStrategy
 
setData(int[]) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
setData(float[]) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
setData(double[]) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
setData(long[]) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
setData(int[]) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
Set the data for this buffer
setData(long[]) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
Set the data for this buffer
setData(float[]) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
Set the data for this buffer
setData(double[]) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
Set the data for this buffer
setData(DataBuffer) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
setData(DataBuffer) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
setData(DataBuffer) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
 
setData(int[]) - Method in class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
setData(long[]) - Method in class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
setData(float[]) - Method in class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
setData(double[]) - Method in class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
setData(int[]) - Method in class org.nd4j.linalg.jcublas.buffer.CudaDoubleDataBuffer
 
setData(float[]) - Method in class org.nd4j.linalg.jcublas.buffer.CudaDoubleDataBuffer
 
setData(int[]) - Method in class org.nd4j.linalg.jcublas.buffer.CudaFloatDataBuffer
 
setData(double[]) - Method in class org.nd4j.linalg.jcublas.buffer.CudaFloatDataBuffer
 
setData(float[]) - Method in class org.nd4j.linalg.jcublas.buffer.CudaHalfDataBuffer
 
setData(int[]) - Method in class org.nd4j.linalg.jcublas.buffer.CudaHalfDataBuffer
 
setData(double[]) - Method in class org.nd4j.linalg.jcublas.buffer.CudaHalfDataBuffer
 
setData(int[]) - Method in class org.nd4j.linalg.jcublas.buffer.CudaLongDataBuffer
 
setData(float[]) - Method in class org.nd4j.linalg.jcublas.buffer.CudaLongDataBuffer
 
setData(ByteString) - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
bytes data = 4;
setDataBufferLogEntries(List<DataBufferLogEntry>) - Method in class org.nd4j.linalg.api.instrumentation.InMemoryInstrumentation
 
setDataType(OnnxMlProto3.TensorProto.DataType) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
The data type of the tensor.
setDataType(OnnxProto3.TensorProto.DataType) - Method in class onnx.OnnxProto3.TensorProto.Builder
The data type of the tensor.
setDataType(String) - Method in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
 
setDataType(String) - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
 
setDataType(DataBuffer.Type) - Static method in class org.nd4j.linalg.factory.Nd4j
This method sets dataType for the current JVM runtime
setDataTypeValue(int) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
The data type of the tensor.
setDataTypeValue(int) - Method in class onnx.OnnxProto3.TensorProto.Builder
The data type of the tensor.
setDcomplexVal(int, double) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_COMPLEX128.
setDeathPenalty(double) - Method in class vizdoom.DoomGame
 
setDebugMode(DebugMode) - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspaceManager
This method allows to enable (and pick one) global debug mode for workspaces Default value: DISABLED
setDebugMode(DebugMode) - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
 
setDefaultCollapsed(boolean) - Method in class org.deeplearning4j.ui.components.decorator.DecoratorAccordion.Builder
Set the default collapsed/expanded state
setDefaultCompression(String) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
Set the default compression algorithm
setDefaultEvaluationWorkers(int) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Set the default number of evaluation workers/threads.
setDefaultEvaluationWorkers(int) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
Set the default number of evaluation workers/threads.
setDefaultGraphInputTensorShape(int, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
Optional: Default graph input tensor shape used to allocate memory before executing op
setDefaultGraphInputTensorShape(int, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
Optional: Default graph input tensor shape used to allocate memory before executing op
setDefaultGraphOutputTensorShape(int, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef
setDefaultGraphOutputTensorShape(int, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef
setDefaultLanguage(String) - Method in interface org.deeplearning4j.ui.api.I18N
Set the default language
setDefaultLanguage(String) - Method in class org.deeplearning4j.ui.i18n.DefaultI18N
 
setDefaultValue(AttrValue) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
Specify a new default value to use for this attr.
setDefaultValue(AttrValue.Builder) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
Specify a new default value to use for this attr.
setDefaultValue(AttrValue) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
A reasonable default for this attribute if the user does not supply a value.
setDefaultValue(AttrValue.Builder) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
A reasonable default for this attribute if the user does not supply a value.
setDefaultWorkspaceConfiguration(WorkspaceConfiguration) - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspaceManager
This method sets default workspace configuration for this provider instance
setDefaultWorkspaceConfiguration(WorkspaceConfiguration) - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
This method allows to specify "Default" configuration, that will be used in signatures which do not have WorkspaceConfiguration argument
setDeferred(boolean) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
True if the deallocation is queued and will be performed later, e.g.
setDeprecation(OpDeprecation) - Method in class org.tensorflow.framework.OpDef.Builder
Optional deprecation based on GraphDef versions.
setDeprecation(OpDeprecation.Builder) - Method in class org.tensorflow.framework.OpDef.Builder
Optional deprecation based on GraphDef versions.
setDeprecationVersion(int) - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
First GraphDef version at which the op is disallowed.
setDepth(int) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker.Builder
This method specifies, how deep walker goes from starting point Default value: 1
setDepth(long) - Method in class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeConvolutional
Deprecated.
setDepthBufferEnabled(boolean) - Method in class vizdoom.DoomGame
 
setDescription(String) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
Note: this will replace any inherited arg doc.
setDescription(String) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
Note: this will replace any inherited attr doc, there is no current way of modifying attr descriptions as can be done with op descriptions.
setDescription(String) - Method in class org.tensorflow.framework.ApiDef.Builder
Additional, longer human-readable description of what the Op does.
setDescription(String) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
Human readable description.
setDescription(String) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
Human-readable description.
setDescription(String) - Method in class org.tensorflow.framework.OpDef.Builder
Additional, longer human-readable description of what the Op does.
setDescriptionBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
Note: this will replace any inherited arg doc.
setDescriptionBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
Note: this will replace any inherited attr doc, there is no current way of modifying attr descriptions as can be done with op descriptions.
setDescriptionBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Builder
Additional, longer human-readable description of what the Op does.
setDescriptionBytes(ByteString) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
Human readable description.
setDescriptionBytes(ByteString) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
Human-readable description.
setDescriptionBytes(ByteString) - Method in class org.tensorflow.framework.OpDef.Builder
Additional, longer human-readable description of what the Op does.
setDescriptionPrefix(String) - Method in class org.tensorflow.framework.ApiDef.Builder
Modify an existing/inherited description by adding text to the beginning or end.
setDescriptionPrefixBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Builder
Modify an existing/inherited description by adding text to the beginning or end.
setDescriptionSuffix(String) - Method in class org.tensorflow.framework.ApiDef.Builder
string description_suffix = 10;
setDescriptionSuffixBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Builder
string description_suffix = 10;
setDestination(GraphTransferInfo.Destination) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
Destination of graph transfer
setDestinationValue(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
Destination of graph transfer
setDevice(Pointer) - Method in class org.nd4j.nativeblas.NativeOps
 
setDevice(Pointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
setDevice(Pointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
setDevice(String) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
The device of the node.
setDevice(String) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
string device = 1;
setDevice(String) - Method in class org.tensorflow.framework.NodeDef.Builder
A (possibly partial) specification for the device on which this node should be placed.
setDevice(String) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
Unique name for the device containing the resource.
setDeviceBytes(ByteString) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
The device of the node.
setDeviceBytes(ByteString) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
string device = 1;
setDeviceBytes(ByteString) - Method in class org.tensorflow.framework.NodeDef.Builder
A (possibly partial) specification for the device on which this node should be placed.
setDeviceBytes(ByteString) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
Unique name for the device containing the resource.
setDeviceId(int) - Method in class org.nd4j.jita.allocator.impl.AllocationPoint
 
setDevicePersistentMemorySize(long) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
int64 device_persistent_memory_size = 16;
setDevicePersistentMemorySize(long) - Method in class org.tensorflow.framework.MemoryStats.Builder
int64 device_persistent_memory_size = 4;
setDevicePersistentTensorAllocIds(int, long) - Method in class org.tensorflow.framework.MemoryStats.Builder
repeated int64 device_persistent_tensor_alloc_ids = 6;
setDeviceTempMemorySize(long) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
int64 device_temp_memory_size = 11;
setDeviceTempMemorySize(long) - Method in class org.tensorflow.framework.MemoryStats.Builder
int64 device_temp_memory_size = 2;
setDeviceType(String) - Method in class org.tensorflow.framework.DeviceAttributes.Builder
String representation of device_type.
setDeviceType(String) - Method in class org.tensorflow.framework.KernelDef.Builder
Type of device this kernel runs on.
setDeviceTypeBytes(ByteString) - Method in class org.tensorflow.framework.DeviceAttributes.Builder
String representation of device_type.
setDeviceTypeBytes(ByteString) - Method in class org.tensorflow.framework.KernelDef.Builder
Type of device this kernel runs on.
setDevStats(int, DeviceStepStats) - Method in class org.tensorflow.framework.StepStats.Builder
repeated .tensorflow.DeviceStepStats dev_stats = 1;
setDevStats(int, DeviceStepStats.Builder) - Method in class org.tensorflow.framework.StepStats.Builder
repeated .tensorflow.DeviceStepStats dev_stats = 1;
setDiag(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
setDiag(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
setDiag(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Set the diagonal value to the specified values
If input is
[ a, b, c]
[ d, e, f]
[ g, h, i]
and diag = [ 1, 2, 3] then output is
[ 1, b, c]
[ d, 2, f]
[ g, h, 3]
setDictionaryEntries(List<GenericDictionaryEntry>) - Method in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
Deprecated.
setDim(int, OnnxMlProto3.TensorShapeProto.Dimension) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
repeated .onnx.TensorShapeProto.Dimension dim = 1;
setDim(int, OnnxMlProto3.TensorShapeProto.Dimension.Builder) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
repeated .onnx.TensorShapeProto.Dimension dim = 1;
setDim(int, OnnxProto3.TensorShapeProto.Dimension) - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
repeated .onnx.TensorShapeProto.Dimension dim = 1;
setDim(int, OnnxProto3.TensorShapeProto.Dimension.Builder) - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
repeated .onnx.TensorShapeProto.Dimension dim = 1;
setDim(int, TensorShapeProto.Dim) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
setDim(int, TensorShapeProto.Dim.Builder) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
setDimension(int...) - Method in class org.nd4j.linalg.api.ops.BaseBroadcastOp
 
setDimension(int...) - Method in class org.nd4j.linalg.api.ops.BaseScalarOp
 
setDimension(int...) - Method in interface org.nd4j.linalg.api.ops.BroadcastOp
Set the dimension for the vector op.
setDimension(int...) - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals
 
setDimParam(String) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
namespace Shape
setDimParam(String) - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
namespace Shape
setDimParamBytes(ByteString) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
namespace Shape
setDimParamBytes(ByteString) - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
namespace Shape
setDims(int, long) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
The shape of the tensor.
setDims(int, long) - Method in class onnx.OnnxProto3.TensorProto.Builder
The shape of the tensor.
setDimValue(long) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
int64 dim_value = 1;
setDimValue(long) - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
int64 dim_value = 1;
setDisplayName(String) - Method in class org.tensorflow.framework.SummaryMetadata.Builder
Display name for viewing in TensorBoard.
setDisplayNameBytes(ByteString) - Method in class org.tensorflow.framework.SummaryMetadata.Builder
Display name for viewing in TensorBoard.
setDistance(double) - Method in class org.deeplearning4j.clustering.sptree.HeapItem
 
setDistancesBetweenClustersCenters(Table<String, String, Double>) - Method in class org.deeplearning4j.clustering.info.ClusterSetInfo
 
setDocString(String) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
A human-readable documentation for this attribute.
setDocString(String) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
A human-readable documentation for this graph.
setDocString(String) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
A human-readable documentation for this model.
setDocString(String) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
A human-readable documentation for this node.
setDocString(String) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
A human-readable documentation for this tensor.
setDocString(String) - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
A human-readable documentation for this value.
setDocString(String) - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
A human-readable documentation for this operator.
setDocString(String) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
A human-readable documentation for this set of operators.
setDocString(String) - Method in class onnx.OnnxProto3.AttributeProto.Builder
A human-readable documentation for this attribute.
setDocString(String) - Method in class onnx.OnnxProto3.GraphProto.Builder
A human-readable documentation for this graph.
setDocString(String) - Method in class onnx.OnnxProto3.ModelProto.Builder
A human-readable documentation for this model.
setDocString(String) - Method in class onnx.OnnxProto3.NodeProto.Builder
A human-readable documentation for this node.
setDocString(String) - Method in class onnx.OnnxProto3.TensorProto.Builder
A human-readable documentation for this tensor.
setDocString(String) - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
A human-readable documentation for this value.
setDocStringBytes(ByteString) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
A human-readable documentation for this attribute.
setDocStringBytes(ByteString) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
A human-readable documentation for this graph.
setDocStringBytes(ByteString) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
A human-readable documentation for this model.
setDocStringBytes(ByteString) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
A human-readable documentation for this node.
setDocStringBytes(ByteString) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
A human-readable documentation for this tensor.
setDocStringBytes(ByteString) - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
A human-readable documentation for this value.
setDocStringBytes(ByteString) - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
A human-readable documentation for this operator.
setDocStringBytes(ByteString) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
A human-readable documentation for this set of operators.
setDocStringBytes(ByteString) - Method in class onnx.OnnxProto3.AttributeProto.Builder
A human-readable documentation for this attribute.
setDocStringBytes(ByteString) - Method in class onnx.OnnxProto3.GraphProto.Builder
A human-readable documentation for this graph.
setDocStringBytes(ByteString) - Method in class onnx.OnnxProto3.ModelProto.Builder
A human-readable documentation for this model.
setDocStringBytes(ByteString) - Method in class onnx.OnnxProto3.NodeProto.Builder
A human-readable documentation for this node.
setDocStringBytes(ByteString) - Method in class onnx.OnnxProto3.TensorProto.Builder
A human-readable documentation for this tensor.
setDocStringBytes(ByteString) - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
A human-readable documentation for this value.
setDomain(String) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
Domain name of the model.
setDomain(String) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
The domain of the OperatorSet that specifies the operator named by op_type.
setDomain(String) - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
The domain of the operator set being identified.
setDomain(String) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
Domain name of the operator set, in reverse DNS form (e.g., com.acme.dnnops).
setDomain(String) - Method in class onnx.OnnxProto3.ModelProto.Builder
Domain name of the model.
setDomain(String) - Method in class onnx.OnnxProto3.NodeProto.Builder
The domain of the OperatorSet that specifies the operator named by op_type.
setDomain(String) - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
The domain of the operator set being identified.
setDomainBytes(ByteString) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
Domain name of the model.
setDomainBytes(ByteString) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
The domain of the OperatorSet that specifies the operator named by op_type.
setDomainBytes(ByteString) - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
The domain of the operator set being identified.
setDomainBytes(ByteString) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
Domain name of the operator set, in reverse DNS form (e.g., com.acme.dnnops).
setDomainBytes(ByteString) - Method in class onnx.OnnxProto3.ModelProto.Builder
Domain name of the model.
setDomainBytes(ByteString) - Method in class onnx.OnnxProto3.NodeProto.Builder
The domain of the OperatorSet that specifies the operator named by op_type.
setDomainBytes(ByteString) - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
The domain of the operator set being identified.
setDoomConfigPath(String) - Method in class vizdoom.DoomGame
 
setDoomGamePath(String) - Method in class vizdoom.DoomGame
 
setDoomMap(String) - Method in class vizdoom.DoomGame
 
setDoomScenarioPath(String) - Method in class vizdoom.DoomGame
 
setDoomSkill(int) - Method in class vizdoom.DoomGame
 
setDoubleData(int, double) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
For double Complex64 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component apparing in the subsequent even numbered position.
setDoubleData(int, double) - Method in class onnx.OnnxProto3.TensorProto.Builder
For double Complex64 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component apparing in the subsequent even numbered position.
setDoubleVal(int, double) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_DOUBLE.
setDType(DataBuffer.Type) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
Sets the data opType
setDType(DataBuffer.Type) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Sets the data opType
setDtype(DataType) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
.tensorflow.DataType dtype = 4;
setDtype(DataType) - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
.tensorflow.DataType dtype = 5;
setDtype(DataType) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo.Builder
.tensorflow.DataType dtype = 3;
setDtype(DataType) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo.Builder
.tensorflow.DataType dtype = 3;
setDtype(DataType) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
.tensorflow.DataType dtype = 1;
setDtype(DataType) - Method in class org.tensorflow.framework.TensorDescription.Builder
Data type of tensor elements
setDtype(DataType) - Method in class org.tensorflow.framework.TensorProto.Builder
.tensorflow.DataType dtype = 1;
setDTypeForContext(DataBuffer.Type) - Static method in class org.nd4j.linalg.api.buffer.util.DataTypeUtil
Set the allocation mode for the nd4j context The value must be one of: heap, java cpp, or direct or an @link{IllegalArgumentException} is thrown
setDTypeForContext(String) - Static method in class org.nd4j.linalg.api.buffer.util.DataTypeUtil
Set the allocation mode for the nd4j context The value must be one of: heap, java cpp, or direct or an @link{IllegalArgumentException} is thrown
setDtypeValue(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
.tensorflow.DataType dtype = 4;
setDtypeValue(int) - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
.tensorflow.DataType dtype = 5;
setDtypeValue(int) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo.Builder
.tensorflow.DataType dtype = 3;
setDtypeValue(int) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo.Builder
.tensorflow.DataType dtype = 3;
setDtypeValue(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
.tensorflow.DataType dtype = 1;
setDtypeValue(int) - Method in class org.tensorflow.framework.TensorDescription.Builder
Data type of tensor elements
setDtypeValue(int) - Method in class org.tensorflow.framework.TensorProto.Builder
.tensorflow.DataType dtype = 1;
setElementFrequency(long) - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
This method sets frequency value for this element
setElementsLearningAlgorithm(SparkElementsLearningAlgorithm) - Method in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder
 
setElementsLearningAlgorithm(SparkElementsLearningAlgorithm) - Method in class org.deeplearning4j.spark.models.word2vec.SparkWord2Vec.Builder
 
setElementsThreshold(int) - Method in class org.nd4j.autodiff.samediff.SameDiffOpExecutioner
This method allows to set desired number of elements per thread, for performance optimization purposes.
setElementsThreshold(int) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
This method allows to set desired number of elements per thread, for performance optimization purposes.
setElementsThreshold(int) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
This method allows to set desired number of elements per thread, for performance optimization purposes.
setElementsThreshold(int) - Method in class org.nd4j.linalg.cpu.nativecpu.ops.NativeOpExecutioner
This method allows to set desired number of elements per thread, for performance optimization purposes.
setElementsThreshold(int) - Method in class org.nd4j.linalg.jcublas.ops.executioner.CudaExecutioner
This method allows to set desired number of elements per thread, for performance optimization purposes.
setElementThreshold(int) - Method in class org.nd4j.nativeblas.NativeOps
This method allows you to specify minimal number of elements per thread/block during op call PLEASE NOTE: Changing this value might and will affect performance.
setElementThreshold(int) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
setElementThreshold(int) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
setElementWiseStride(IntBuffer, int) - Static method in class org.nd4j.linalg.api.shape.Shape
Get the element wise stride for the shape info buffer
setElementWiseStride(DataBuffer, int) - Static method in class org.nd4j.linalg.api.shape.Shape
Get the element wise stride for the shape info buffer
setElemType(OnnxMlProto3.TypeProto) - Method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
The type and optional shape of each element of the sequence.
setElemType(OnnxMlProto3.TypeProto.Builder) - Method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
The type and optional shape of each element of the sequence.
setElemType(OnnxMlProto3.TensorProto.DataType) - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
This field MUST NOT have the value of UNDEFINED This field MUST be present for this version of the IR.
setElemType(OnnxProto3.TensorProto.DataType) - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
This field MUST NOT have the value of UNDEFINED This field MUST be present for this version of the IR.
setElemTypeValue(int) - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
This field MUST NOT have the value of UNDEFINED This field MUST be present for this version of the IR.
setElemTypeValue(int) - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
This field MUST NOT have the value of UNDEFINED This field MUST be present for this version of the IR.
setEnabled(boolean) - Method in class org.deeplearning4j.ui.module.remote.RemoteReceiverModule
 
setEncodedAudioString(ByteString) - Method in class org.tensorflow.framework.Summary.Audio.Builder
Encoded audio data and its associated RFC 2045 content type (e.g.
setEncodedImageString(ByteString) - Method in class org.tensorflow.framework.Summary.Image.Builder
Image data in encoded format.
setEnd(long) - Method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
int64 end = 2;
setEnd(long) - Method in class onnx.OnnxProto3.TensorProto.Segment.Builder
int64 end = 2;
setEnd(int) - Method in class org.datavec.nlp.movingwindow.Window
 
setEnd(int) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
setEnd(int) - Method in class org.deeplearning4j.text.movingwindow.Window
 
setEndpoint(int, ApiDef.Endpoint) - Method in class org.tensorflow.framework.ApiDef.Builder
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
setEndpoint(int, ApiDef.Endpoint.Builder) - Method in class org.tensorflow.framework.ApiDef.Builder
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
setEntries(List<LogEntry>) - Method in class org.nd4j.linalg.api.instrumentation.InMemoryInstrumentation
 
setEntriesLimit(int) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor.Builder
This method sets the limit to resulting vocabulary size.
setEpisodeStartTime(int) - Method in class vizdoom.DoomGame
 
setEpisodeTimeout(int) - Method in class vizdoom.DoomGame
 
setEpochCount(int) - Method in interface org.deeplearning4j.nn.api.Layer
Set the current epoch count (number of epochs passed ) for the layer/network
setEpochCount(int) - Method in class org.deeplearning4j.nn.conf.MultiLayerConfiguration
 
setEpochCount(int) - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
setEpochCount(int) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
setEpochCount(int) - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
setEpochCount(int) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
setEpsilon(INDArray) - Method in class org.deeplearning4j.nn.graph.vertex.BaseGraphVertex
 
setEpsilon(INDArray) - Method in class org.deeplearning4j.nn.graph.vertex.BaseWrapperVertex
 
setEpsilon(INDArray) - Method in interface org.deeplearning4j.nn.graph.vertex.GraphVertex
Set the errors (epsilon - aka dL/dActivation) for this GraphVertex
setError(double) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
setError(double) - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveChange
 
setExampleMetaData(List<? extends Serializable>) - Method in interface org.nd4j.linalg.dataset.api.DataSet
Set the metadata for this DataSet
By convention: the metadata can be any serializable object, one per example in the DataSet
setExampleMetaData(List<? extends Serializable>) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
Set the metadata for this MultiDataSet
By convention: the metadata can be any serializable object, one per example in the MultiDataSet
setExampleMetaData(List<? extends Serializable>) - Method in class org.nd4j.linalg.dataset.DataSet
 
setExampleMetaData(List<? extends Serializable>) - Method in class org.nd4j.linalg.dataset.MultiDataSet
 
setExecutionMode(OpExecutioner.ExecutionMode) - Method in class org.nd4j.autodiff.samediff.SameDiffOpExecutioner
Set the execution mode
setExecutionMode(OpExecutioner.ExecutionMode) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
 
setExecutionMode(OpExecutioner.ExecutionMode) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
Set the execution mode
setExecutionMode(ExecutionMode) - Method in class org.nd4j.parameterserver.distributed.conf.VoidConfiguration
 
setExecutionModel(Configuration.ExecutionModel) - Method in class org.nd4j.jita.conf.Configuration
Deprecated.
Only ExecutionModel.SEQUENTIAL is supported
setExecutionTime(long) - Method in class org.nd4j.nativeblas.Nd4jCpu.GraphProfile
This method sets graph execution time in nanoseconds.
setExecutionTime(long) - Method in class org.nd4j.nativeblas.Nd4jCpu.NodeProfile
 
setExecutionTime(long) - Method in class org.nd4j.nativeblas.Nd4jCuda.GraphProfile
This method sets graph execution time in nanoseconds.
setExecutionTime(long) - Method in class org.nd4j.nativeblas.Nd4jCuda.NodeProfile
 
setExecutorName(String) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
Executor's name
setExecutorNameBytes(ByteString) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
Executor's name
setExplanation(String) - Method in class org.tensorflow.framework.OpDeprecation.Builder
Explanation of why it was deprecated and what to use instead.
setExplanationBytes(ByteString) - Method in class org.tensorflow.framework.OpDeprecation.Builder
Explanation of why it was deprecated and what to use instead.
setExpTable(double[]) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
setExpTable(Broadcast<double[]>) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam
Deprecated.
 
setExpTable(double[]) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
setExtent(int, TensorSliceProto.Extent) - Method in class org.tensorflow.framework.TensorSliceProto.Builder
Extent of the slice in all tensor dimensions.
setExtent(int, TensorSliceProto.Extent.Builder) - Method in class org.tensorflow.framework.TensorSliceProto.Builder
Extent of the slice in all tensor dimensions.
setExternalSource(Queue<INDArray>) - Method in class org.deeplearning4j.optimize.solvers.accumulation.BasicGradientsAccumulator
 
setExternalSource(Queue<INDArray>) - Method in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
This method allows to pass external updates to accumulator, they will be populated across all workers using this GradientsAccumulator instance
setExternalSource(Queue<INDArray>) - Method in interface org.deeplearning4j.optimize.solvers.accumulation.GradientsAccumulator
This method allows to pass external updates to accumulator, they will be populated across all workers using this GradientsAccumulator instance
setExtraArgs(Object[]) - Method in interface org.nd4j.linalg.api.ops.Op
 
setF(float) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
Exactly ONE of the following fields must be present for this version of the IR
setF(float) - Method in class onnx.OnnxProto3.AttributeProto.Builder
Exactly ONE of the following fields must be present for this version of the IR
setF(float) - Method in class org.tensorflow.framework.AttrValue.Builder
"float"
setF(int, float) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(float)"
setFactory(NDArrayFactory) - Static method in class org.nd4j.linalg.factory.Nd4j
 
setFeatureExtractor(int) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.Builder
Specify a layer to set as a "feature extractor" The specified layer and the layers preceding it will be "frozen" with parameters staying constant
setFeatureExtractor(String...) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.GraphBuilder
Specify a layer vertex to set as a "feature extractor" The specified layer vertex and the layers on the path from an input vertex to it it will be "frozen" with parameters staying constant
setFeatures(INDArray) - Method in interface org.nd4j.linalg.dataset.api.DataSet
Set the features array for the DataSet
setFeatures(INDArray[]) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
Set all of the features arrays for the MultiDataSet
setFeatures(int, INDArray) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
Set a single features array (by index) for the MultiDataSet
setFeatures(INDArray) - Method in class org.nd4j.linalg.dataset.DataSet
 
setFeatures(INDArray[]) - Method in class org.nd4j.linalg.dataset.MultiDataSet
 
setFeatures(int, INDArray) - Method in class org.nd4j.linalg.dataset.MultiDataSet
 
setFeaturesMaskArray(INDArray) - Method in interface org.nd4j.linalg.dataset.api.DataSet
Set the features mask array in this DataSet
setFeaturesMaskArray(int, INDArray) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
Set a single feature mask array by index
setFeaturesMaskArray(INDArray) - Method in class org.nd4j.linalg.dataset.DataSet
 
setFeaturesMaskArray(int, INDArray) - Method in class org.nd4j.linalg.dataset.MultiDataSet
 
setFeaturesMaskArrays(INDArray[]) - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
Set the feature mask arrays
setFeaturesMaskArrays(INDArray[]) - Method in class org.nd4j.linalg.dataset.MultiDataSet
 
setFeatureStats(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler
 
setFetchSize(int) - Method in class org.deeplearning4j.text.sentenceiterator.PrefetchingSentenceIterator.Builder
Deprecated.
 
setFetchSize(int) - Method in class org.deeplearning4j.text.sentenceiterator.StreamLineIterator.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.TypeProto.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.AttributeProto.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.GraphProto.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.ModelProto.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.NodeProto.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.TensorProto.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.TensorProto.Segment.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.TypeProto.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
 
setField(Field, Object, Object) - Static method in class org.nd4j.linalg.io.ReflectionUtils
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.AllocationDescription.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.AllocationRecord.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ApiDef.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ApiDefs.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.AttrValue.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CostGraphDef.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.DeviceAttributes.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.DeviceLocality.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.FunctionDef.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GradientDef.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphDef.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInput.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.HistogramProto.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.KernelDef.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryLogStep.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryStats.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.NameAttrList.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.NodeDef.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.NodeExecStats.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.NodeOutput.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.OpDef.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.OpDeprecation.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.OpList.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ReaderBaseState.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.StepStats.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.Summary.Audio.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.Summary.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.Summary.Image.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.Summary.Value.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.SummaryDescription.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.SummaryMetadata.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorDescription.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorProto.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorSliceProto.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.VariableDef.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.VersionDef.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename.Builder
 
setField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
 
setFilenamePrefix(boolean) - Method in class org.deeplearning4j.models.sequencevectors.listeners.SerializingListener.Builder
This method allows you to define template for file names that will be created during serialization
setFinalMomentum(double) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
 
setFinalMomentum(double) - Method in class org.deeplearning4j.plot.Tsne.Builder
 
setFinalResult(double) - Method in interface org.nd4j.linalg.api.ops.Accumulation
Get the final result (may return null if getAndSetFinalResult has not been called, or for accumulation ops on complex arrays)
setFinalResult(Number) - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
 
setFinalResult(Number) - Method in class org.nd4j.linalg.api.ops.aggregates.BaseAggregate
 
setFinalResult(double) - Method in class org.nd4j.linalg.api.ops.BaseAccumulation
 
setFinalResult(int) - Method in class org.nd4j.linalg.api.ops.BaseIndexAccumulation
 
setFinalResult(int) - Method in interface org.nd4j.linalg.api.ops.IndexAccumulation
Set the final index/result of the accumulation.
setFirst(byte[]) - Method in class org.datavec.spark.functions.pairdata.BytesPairWritable
 
setFirst(K) - Method in class org.nd4j.linalg.primitives.Pair
 
setFirstKey(K) - Method in class org.nd4j.linalg.collection.MultiDimensionalMap.Entry
 
setFirstMemory(AllocationStatus) - Method in class org.nd4j.jita.conf.Configuration
This method allows to specify initial memory to be used within system.
setFirstPointers(GridPointers) - Method in class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp
 
setFirstPointers(GridPointers) - Method in interface org.nd4j.linalg.api.ops.MetaOp
 
setFloat(String, float) - Method in class org.datavec.api.conf.Configuration
Set the value of the name property to a float.
setFloatData(int, float) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component apparing in the subsequent even numbered position.
setFloatData(int, float) - Method in class onnx.OnnxProto3.TensorProto.Builder
For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component apparing in the subsequent even numbered position.
setFloats(int, float) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
list of floats
setFloats(int, float) - Method in class onnx.OnnxProto3.AttributeProto.Builder
list of floats
setFloatVal(int, float) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_FLOAT.
setFlowPath(Nd4jCpu.FlowPath) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleVariableSpace
 
setFlowPath(Nd4jCpu.FlowPath) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatVariableSpace
 
setFlowPath(Nd4jCpu.FlowPath) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfVariableSpace
 
setFlowPath(Nd4jCuda.FlowPath) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleVariableSpace
 
setFlowPath(Nd4jCuda.FlowPath) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatVariableSpace
 
setFlowPath(Nd4jCuda.FlowPath) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfVariableSpace
 
setForests(Forest...) - Method in class org.ansj.splitWord.Analysis
 
setFormat(String) - Method in class org.datavec.audio.WaveHeader
 
setForwardVariableForVarName(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
setFrame(Frame) - Method in class org.datavec.image.data.ImageWritable
 
setFrameId(long) - Method in class org.deeplearning4j.spark.parameterserver.networking.messages.SilentUpdatesMessage
 
setFrameId(long) - Method in interface org.nd4j.parameterserver.distributed.messages.TrainingMessage
 
setFrameName(String) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.compat.BaseCompatOp
 
setFrequency(int) - Method in class org.deeplearning4j.optimize.listeners.PerformanceListener.Builder
Desired TrainingListener activation frequency
setFrom(Term) - Method in class org.ansj.domain.Term
 
setFrom(String) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename.Builder
string from = 1;
setFromBytes(ByteString) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename.Builder
string from = 1;
setFullName(String) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
Name of the full variable of which this is a slice.
setFullNameBytes(ByteString) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
Name of the full variable of which this is a slice.
setFullShape(int, long) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
Shape of the full variable.
setFunc(NameAttrList) - Method in class org.tensorflow.framework.AttrValue.Builder
"func" represents a function.
setFunc(NameAttrList.Builder) - Method in class org.tensorflow.framework.AttrValue.Builder
"func" represents a function.
setFunc(int, NameAttrList) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(attr)"
setFunc(int, NameAttrList.Builder) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(attr)"
setFunction(int, FunctionDef) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
repeated .tensorflow.FunctionDef function = 1;
setFunction(int, FunctionDef.Builder) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
repeated .tensorflow.FunctionDef function = 1;
setFunctionName(String) - Method in class org.tensorflow.framework.GradientDef.Builder
The function name.
setFunctionNameBytes(ByteString) - Method in class org.tensorflow.framework.GradientDef.Builder
The function name.
setG(OnnxMlProto3.GraphProto) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
graph
setG(OnnxMlProto3.GraphProto.Builder) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
graph
setG(OnnxProto3.GraphProto) - Method in class onnx.OnnxProto3.AttributeProto.Builder
graph
setG(OnnxProto3.GraphProto.Builder) - Method in class onnx.OnnxProto3.AttributeProto.Builder
graph
setGain(double) - Method in class org.deeplearning4j.nn.conf.distribution.OrthogonalDistribution
 
setGen(Random) - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveParam
 
setGoldLabel(int) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
setGradient(int, GradientDef) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
repeated .tensorflow.GradientDef gradient = 2;
setGradient(int, GradientDef.Builder) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
repeated .tensorflow.GradientDef gradient = 2;
setGradientFor(String, INDArray) - Method in class org.deeplearning4j.nn.gradient.DefaultGradient
 
setGradientFor(String, INDArray, Character) - Method in class org.deeplearning4j.nn.gradient.DefaultGradient
 
setGradientFor(String, INDArray) - Method in interface org.deeplearning4j.nn.gradient.Gradient
Update gradient for the given variable
setGradientFor(String, INDArray, Character) - Method in interface org.deeplearning4j.nn.gradient.Gradient
Update gradient for the given variable; also (optionally) specify the order in which the array should be flattened to a row vector
setGradientForVariableName(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Assign a SDVariable to represent the gradient of the SDVariable with the specified name
setGradientFunc(String) - Method in class org.tensorflow.framework.GradientDef.Builder
The gradient function's name.
setGradientFuncBytes(ByteString) - Method in class org.tensorflow.framework.GradientDef.Builder
The gradient function's name.
setGradients(Map<String, Map>) - Method in class org.deeplearning4j.ui.weights.beans.CompactModelAndGradient
 
setGradientsAccumulator(GradientsAccumulator) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
This method allows you to specificy GradientsAccumulator instance to be used with this model
setGradientsAccumulator(GradientsAccumulator) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
This method allows you to specificy GradientsAccumulator instance to be used with this model PLEASE NOTE: Do not use this method unless you understand how to use GradientsAccumulator & updates sharing.
setGradientsAccumulator(GradientsAccumulator) - Method in interface org.deeplearning4j.optimize.api.ConvexOptimizer
This method specifies GradientsAccumulator instance to be used for updates sharing across multiple models
setGradientsAccumulator(GradientsAccumulator) - Method in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
setGradientViewArray(INDArray) - Method in class org.nd4j.linalg.activations.BaseActivationFunction
 
setGradientViewArray(INDArray) - Method in interface org.nd4j.linalg.activations.IActivation
 
setGraph(OnnxMlProto3.GraphProto) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
The parameterized graph that is evaluated to execute the model.
setGraph(OnnxMlProto3.GraphProto.Builder) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
The parameterized graph that is evaluated to execute the model.
setGraph(OnnxProto3.GraphProto) - Method in class onnx.OnnxProto3.ModelProto.Builder
The parameterized graph that is evaluated to execute the model.
setGraph(OnnxProto3.GraphProto.Builder) - Method in class onnx.OnnxProto3.ModelProto.Builder
The parameterized graph that is evaluated to execute the model.
setGraphInputNodeInfo(int, GraphTransferInfo.GraphInputNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
Input Node parameters of transferred graph
setGraphInputNodeInfo(int, GraphTransferInfo.GraphInputNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
Input Node parameters of transferred graph
setGraphInputNodeName(int, String) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
Remote fused graph input node name
setGraphOpName(String) - Method in class org.tensorflow.framework.ApiDef.Builder
Name of the op (in the OpDef) to specify the API for.
setGraphOpNameBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Builder
Name of the op (in the OpDef) to specify the API for.
setGraphOutputNodeInfo(int, GraphTransferInfo.GraphOutputNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.GraphOutputNodeInfo graph_output_node_info = 6;
setGraphOutputNodeInfo(int, GraphTransferInfo.GraphOutputNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.GraphOutputNodeInfo graph_output_node_info = 6;
setGraphOutputNodeName(int, String) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
Remote fused graph output node name
setGraphs(int, OnnxMlProto3.GraphProto) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
list of graph
setGraphs(int, OnnxMlProto3.GraphProto.Builder) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
list of graph
setGraphs(int, OnnxProto3.GraphProto) - Method in class onnx.OnnxProto3.AttributeProto.Builder
list of graph
setGraphs(int, OnnxProto3.GraphProto.Builder) - Method in class onnx.OnnxProto3.AttributeProto.Builder
list of graph
setGraphWalker(GraphWalker<T>) - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer.Builder
 
setGridLimit(int) - Method in class org.nd4j.nativeblas.NativeOps
 
setGridLimit(int) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
setGridLimit(int) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
setGridWidth(Double, Double) - Method in class org.deeplearning4j.ui.components.chart.Chart.Builder
Set the grid lines to be enabled, and if enabled: set the grid.
setGridWidth(Integer, Integer) - Method in class org.deeplearning4j.ui.components.chart.Chart.Builder
Set the grid lines to be enabled, and if enabled: set the grid.
setHalfVal(int, int) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_HALF.
setHandle(String) - Method in class org.tensorflow.framework.MemoryLogStep.Builder
Handle describing the feeds and fetches of the step.
setHandleBytes(ByteString) - Method in class org.tensorflow.framework.MemoryLogStep.Builder
Handle describing the feeds and fetches of the step.
setHash(long) - Method in class org.nd4j.nativeblas.Nd4jCpu.OpDescriptor
 
setHash(long) - Method in class org.nd4j.nativeblas.Nd4jCuda.OpDescriptor
 
setHashCode(long) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
Hash code for the type of the resource.
setHasMinimum(boolean) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
For type == "int", this is a minimum value.
setHasSingleReference(boolean) - Method in class org.tensorflow.framework.AllocationDescription.Builder
Set if this tensor only has one remaining reference
setHeadWord(String) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
setHeight(int) - Method in class org.tensorflow.framework.Summary.Image.Builder
Dimensions of the image.
setHelperWorkspace(String, Pointer) - Method in class org.deeplearning4j.nn.workspace.LayerWorkspaceMgr
Set the pointer to the helper memory.
setHh(double) - Method in class org.deeplearning4j.clustering.quadtree.Cell
 
setHide(boolean) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
Hide this op by putting it into an internal namespace (or whatever is appropriate in the target language).
setHisto(HistogramProto) - Method in class org.tensorflow.framework.Summary.Value.Builder
.tensorflow.HistogramProto histo = 5;
setHisto(HistogramProto.Builder) - Method in class org.tensorflow.framework.Summary.Value.Builder
.tensorflow.HistogramProto histo = 5;
setHistoricalGradient(INDArray) - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
Deprecated.
setHistoryProcessor(IHistoryProcessor.Configuration) - Method in class org.deeplearning4j.rl4j.learning.async.AsyncThread
 
setHistoryProcessor(IHistoryProcessor) - Method in class org.deeplearning4j.rl4j.learning.async.AsyncThread
 
setHistoryProcessor(IHistoryProcessor.Configuration) - Method in class org.deeplearning4j.rl4j.learning.Learning
 
setHistoryProcessor(IHistoryProcessor) - Method in class org.deeplearning4j.rl4j.learning.Learning
 
setHostMemoryArg(int, String) - Method in class org.tensorflow.framework.KernelDef.Builder
Names of the Op's input_/output_args that reside in host memory instead of device memory.
setHostPersistentMemorySize(long) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
int64 host_persistent_memory_size = 12;
setHostPersistentMemorySize(long) - Method in class org.tensorflow.framework.MemoryStats.Builder
int64 host_persistent_memory_size = 3;
setHostPersistentTensorAllocIds(int, long) - Method in class org.tensorflow.framework.MemoryStats.Builder
repeated int64 host_persistent_tensor_alloc_ids = 5;
setHostPointer(Pointer) - Method in class org.nd4j.linalg.jcublas.CublasPointer
 
setHostTempMemorySize(long) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
int64 host_temp_memory_size = 10;
setHostTempMemorySize(long) - Method in class org.tensorflow.framework.MemoryStats.Builder
int64 host_temp_memory_size = 1;
setHw(double) - Method in class org.deeplearning4j.clustering.quadtree.Cell
 
setI(long) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
int
setI(long) - Method in class onnx.OnnxProto3.AttributeProto.Builder
int
setI(long) - Method in class org.tensorflow.framework.AttrValue.Builder
"int"
setI(int, long) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(int)"
setId(String) - Method in class org.nd4j.linalg.api.instrumentation.LogEntry
 
setId(int) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleVariable
 
setId(int, int) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleVariable
 
setId(int) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatVariable
 
setId(int, int) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatVariable
 
setId(int) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfVariable
 
setId(int, int) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfVariable
 
setId(int) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleVariable
 
setId(int, int) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleVariable
 
setId(int) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatVariable
 
setId(int, int) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatVariable
 
setId(int) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfVariable
 
setId(int, int) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfVariable
 
setId(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
The id of the node.
setIdentity() - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
makes array to be identity matrix (not necessarily square), that is set all diagonal elements = 1, rest = 0
setIdentity() - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
makes array to be identity matrix (not necessarily square), that is set all diagonal elements = 1, rest = 0
setIdentity() - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
makes array to be identity matrix (not necessarily square), that is set all diagonal elements = 1, rest = 0
setIdentity() - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
makes array to be identity matrix (not necessarily square), that is set all diagonal elements = 1, rest = 0
setIdentity() - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
makes array to be identity matrix (not necessarily square), that is set all diagonal elements = 1, rest = 0
setIdentity() - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
makes array to be identity matrix (not necessarily square), that is set all diagonal elements = 1, rest = 0
setIfFirst(Throwable) - Method in class org.nd4j.linalg.util.AtomicThrowable
This method updates state only if it wasn't set before
setIfUnset(String, String) - Method in class org.datavec.api.conf.Configuration
Sets a property if it is currently unset.
setIgnoreInvalid(String...) - Method in class org.datavec.api.transform.reduce.Reducer.Builder
When doing the reduction: set the specified columns to ignore any invalid values.
setIgnoreInvalid(String...) - Method in class org.datavec.api.transform.stringreduce.StringReducer.Builder
When doing the reduction: set the specified columns to ignore any invalid values.
setImage(Summary.Image) - Method in class org.tensorflow.framework.Summary.Value.Builder
.tensorflow.Summary.Image image = 4;
setImage(Summary.Image.Builder) - Method in class org.tensorflow.framework.Summary.Value.Builder
.tensorflow.Summary.Image image = 4;
setImageTransformProcess(ImageTransformProcess) - Method in class org.datavec.spark.transform.client.DataVecTransformClient
 
setImageTransformProcess(ImageTransformProcess) - Method in class org.datavec.spark.transform.CSVSparkTransformServer
 
setImageTransformProcess(ImageTransformProcess) - Method in class org.datavec.spark.transform.ImageSparkTransformServer
 
setImageTransformProcess(ImageTransformProcess) - Method in interface org.datavec.spark.transform.service.DataVecTransformService
 
setInArg(int, ApiDef.Arg) - Method in class org.tensorflow.framework.ApiDef.Builder
repeated .tensorflow.ApiDef.Arg in_arg = 4;
setInArg(int, ApiDef.Arg.Builder) - Method in class org.tensorflow.framework.ApiDef.Builder
repeated .tensorflow.ApiDef.Arg in_arg = 4;
setInboundLayerNames(List<String>) - Method in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
Set list of inbound layers.
setIncarnation(long) - Method in class org.tensorflow.framework.DeviceAttributes.Builder
A device is assigned a global unique number each time it is initialized.
setIndex(int) - Method in class org.deeplearning4j.clustering.sptree.HeapItem
 
setIndex(int) - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
Sets index in Huffman tree
setIndex(InvertedIndex<T>) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor.Builder
 
setIndex(int) - Method in interface org.deeplearning4j.nn.api.Layer
Set the layer index.
setIndex(int) - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
setIndex(int) - Method in class org.deeplearning4j.nn.layers.normalization.BatchNormalization
 
setIndex(int) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
setIndex(int) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
setIndex(int) - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
setIndex(int) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
setIndex(int) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleVariable
 
setIndex(int) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatVariable
 
setIndex(int) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfVariable
 
setIndex(int) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleVariable
 
setIndex(int) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatVariable
 
setIndex(int) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfVariable
 
setIndex(int) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
Index of the output being set.
setIndexer(Indexer) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
setIndexer(Indexer) - Method in class org.nd4j.linalg.compression.CompressedDataBuffer
 
setIndexer(Indexer) - Method in class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
setIndices(int...) - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace
 
setIndices(int...) - Method in class org.deeplearning4j.arbiter.conf.dropout.DropoutSpace
 
setIndices(int...) - Method in class org.deeplearning4j.arbiter.conf.updater.BaseUpdaterSpace
 
setIndices(int...) - Method in class org.deeplearning4j.arbiter.conf.updater.schedule.ExponentialScheduleSpace
 
setIndices(int...) - Method in class org.deeplearning4j.arbiter.conf.updater.schedule.InverseScheduleSpace
 
setIndices(int...) - Method in class org.deeplearning4j.arbiter.conf.updater.schedule.PolyScheduleSpace
 
setIndices(int...) - Method in class org.deeplearning4j.arbiter.conf.updater.schedule.SigmoidScheduleSpace
 
setIndices(int...) - Method in class org.deeplearning4j.arbiter.conf.updater.schedule.StepSchedul