P-Index

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

P

pad(String, int) - Static method in class org.deeplearning4j.berkeley.StringUtils: Return a String of length a minimum of totalChars characters by padding the input String str with spaces.
pad(Object, int) - Static method in class org.deeplearning4j.berkeley.StringUtils: Pads the toString value of the given Object.
padding(int) - Method in class org.deeplearning4j.nn.conf.layers.Convolution1DLayer.Builder
padding - Variable in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder
padding(int...) - Method in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.Builder
padding - Variable in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer
padding(int) - Method in class org.deeplearning4j.nn.conf.layers.Subsampling1DLayer.Builder: Padding
padding - Variable in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder
padding(int...) - Method in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.Builder: Padding
padding - Variable in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer
padLeft(String, int) - Static method in class org.deeplearning4j.berkeley.StringUtils: Pads the given String to the left with spaces to ensure that it's at least totalChars long.
padLeft(Object, int) - Static method in class org.deeplearning4j.berkeley.StringUtils
padLeft(int, int) - Static method in class org.deeplearning4j.berkeley.StringUtils
padLeft(double, int) - Static method in class org.deeplearning4j.berkeley.StringUtils
padOrTrim(String, int) - Static method in class org.deeplearning4j.berkeley.StringUtils: Pad or trim so as to produce a string of exactly a certain length.
padOrTrim(Object, int) - Static method in class org.deeplearning4j.berkeley.StringUtils: Pad or trim the toString value of the given Object.
paginate(String, BucketKeyListener) - Method in class org.deeplearning4j.aws.s3.reader.S3Downloader: Paginates through a bucket's keys invoking the listener at each key
Pair<F,S> - Class in org.deeplearning4j.berkeley: A generic-typed pair of objects.
Pair(F, S) - Constructor for class org.deeplearning4j.berkeley.Pair
Pair.DefaultLexicographicPairComparator<F extends java.lang.Comparable<F>,S extends java.lang.Comparable<S>> - Class in org.deeplearning4j.berkeley
Pair.FirstComparator<S extends java.lang.Comparable<? super S>,T> - Class in org.deeplearning4j.berkeley
Pair.LexicographicPairComparator<F,S> - Class in org.deeplearning4j.berkeley
Pair.ReverseFirstComparator<S extends java.lang.Comparable<? super S>,T> - Class in org.deeplearning4j.berkeley
Pair.ReverseSecondComparator<S,T extends java.lang.Comparable<? super T>> - Class in org.deeplearning4j.berkeley
Pair.SecondComparator<S,T extends java.lang.Comparable<? super T>> - Class in org.deeplearning4j.berkeley
PairDataSetToMultiDataSetFn<K> - Class in org.deeplearning4j.spark.impl.graph.dataset: Simple conversion function to convert from a JavaPairRDD<K,DataSet> to a JavaPairRDD<K,MultiDataSet>
PairDataSetToMultiDataSetFn() - Constructor for class org.deeplearning4j.spark.impl.graph.dataset.PairDataSetToMultiDataSetFn
PairToArrayPair<K> - Class in org.deeplearning4j.spark.impl.graph.scoring: Simple conversion function for SparkComputationGraph
PairToArrayPair() - Constructor for class org.deeplearning4j.spark.impl.graph.scoring.PairToArrayPair
ParagraphVectors - Class in org.deeplearning4j.models.paragraphvectors: Basic ParagraphVectors (aka Doc2Vec) implementation for DL4j, as wrapper over SequenceVectors
ParagraphVectors() - Constructor for class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
ParagraphVectors.BlindInferenceCallable - Class in org.deeplearning4j.models.paragraphvectors
ParagraphVectors.Builder - Class in org.deeplearning4j.models.paragraphvectors
ParagraphVectors.InferenceCallable - Class in org.deeplearning4j.models.paragraphvectors
ParagraphVectorsTest - Class in org.deeplearning4j.models.paragraphvectors: Created by agibsonccc on 12/3/14.
ParagraphVectorsTest() - Constructor for class org.deeplearning4j.models.paragraphvectors.ParagraphVectorsTest
parallelCounter() - Static method in class org.deeplearning4j.text.movingwindow.Util: Returns a thread safe counter
parallelCounterMap() - Static method in class org.deeplearning4j.berkeley.CounterMap: Returns a thread safe counter map
parallelCounterMap() - Static method in class org.deeplearning4j.text.movingwindow.Util: Returns a thread safe counter map
parallelTasks(List<Runnable>, ExecutorService) - Static method in class org.deeplearning4j.util.MultiThreadUtils
ParallelTransformerIterator - Class in org.deeplearning4j.models.sequencevectors.transformers.impl.iterables: TransformerIterator implementation that's does transformation/tokenization/normalization/whatever in parallel threads.
ParallelTransformerIterator(LabelAwareIterator, SentenceTransformer) - Constructor for class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.ParallelTransformerIterator
ParallelTransformerIterator(LabelAwareIterator, SentenceTransformer, boolean) - Constructor for class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.ParallelTransformerIterator
ParallelTransformerIteratorTest - Class in org.deeplearning4j.models.sequencevectors.transformers.impl.iterables
ParallelTransformerIteratorTest() - Constructor for class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.ParallelTransformerIteratorTest
ParallelWrapper - Class in org.deeplearning4j.parallelism: This is simple data-parallel wrapper suitable for multi-cpu/multi-gpu environments.
ParallelWrapper(Model, int, int) - Constructor for class org.deeplearning4j.parallelism.ParallelWrapper
parallelWrapper(ParallelWrapper) - Method in class org.deeplearning4j.parallelism.parameterserver.ParameterServerTrainer.ParameterServerTrainerBuilder
parallelWrapper - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
ParallelWrapper.Builder<T extends Model> - Class in org.deeplearning4j.parallelism
ParallelWrapperMain - Class in org.deeplearning4j.parallelism.main: Parallelwrapper main class.
ParallelWrapperMain() - Constructor for class org.deeplearning4j.parallelism.main.ParallelWrapperMain
ParallelWrapperMainTest - Class in org.deeplearning4j.parallelism.main: Created by agibsonccc on 12/29/16.
ParallelWrapperMainTest() - Constructor for class org.deeplearning4j.parallelism.main.ParallelWrapperMainTest
ParallelWrapperTest - Class in org.deeplearning4j.parallelism: Created by agibsonccc on 11/12/16.
ParallelWrapperTest() - Constructor for class org.deeplearning4j.parallelism.ParallelWrapperTest
PARAM_NAME_BETA - Static variable in class org.deeplearning4j.nn.modelimport.keras.layers.KerasBatchNormalization
PARAM_NAME_GAMMA - Static variable in class org.deeplearning4j.nn.modelimport.keras.layers.KerasBatchNormalization
PARAM_NAME_RUNNING_MEAN - Static variable in class org.deeplearning4j.nn.modelimport.keras.layers.KerasBatchNormalization
PARAM_NAME_RUNNING_STD - Static variable in class org.deeplearning4j.nn.modelimport.keras.layers.KerasBatchNormalization
ParamAndGradientIterationListener - Class in org.deeplearning4j.optimize.listeners: An iteration listener that provides details on parameters and gradients at each iteration during traning.
ParamAndGradientIterationListener() - Constructor for class org.deeplearning4j.optimize.listeners.ParamAndGradientIterationListener: Default constructor for output to console only every iteration, tab delimited
ParamAndGradientIterationListener(int, boolean, boolean, boolean, boolean, boolean, boolean, boolean, File, String) - Constructor for class org.deeplearning4j.optimize.listeners.ParamAndGradientIterationListener: Full constructor with all options.
PARAMETER_AVERAGING_MASTER_AGGREGATE_TIMES_MS - Static variable in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
PARAMETER_AVERAGING_MASTER_BROADCAST_CREATE_TIMES_MS - Static variable in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
PARAMETER_AVERAGING_MASTER_COUNT_RDD_TIMES_MS - Static variable in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
PARAMETER_AVERAGING_MASTER_EXPORT_RDD_TIMES_MS - Static variable in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
PARAMETER_AVERAGING_MASTER_FIT_TIMES_MS - Static variable in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
PARAMETER_AVERAGING_MASTER_MAP_PARTITIONS_TIMES_MS - Static variable in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
PARAMETER_AVERAGING_MASTER_PROCESS_PARAMS_UPDATER_TIMES_MS - Static variable in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
PARAMETER_AVERAGING_MASTER_REPARTITION_TIMES_MS - Static variable in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
PARAMETER_AVERAGING_MASTER_SPLIT_TIMES_MS - Static variable in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
PARAMETER_AVERAGING_WORKER_BROADCAST_GET_VALUE_TIME_MS - Static variable in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingWorkerStats
PARAMETER_AVERAGING_WORKER_FIT_TIMES_MS - Static variable in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingWorkerStats
PARAMETER_AVERAGING_WORKER_INIT_TIME_MS - Static variable in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingWorkerStats
ParameterAveragingAggregationTuple - Class in org.deeplearning4j.spark.impl.paramavg.aggregator: Simple helper tuple used to execute parameter averaging
ParameterAveragingAggregationTuple() - Constructor for class org.deeplearning4j.spark.impl.paramavg.aggregator.ParameterAveragingAggregationTuple
ParameterAveragingElementAddFunction - Class in org.deeplearning4j.spark.impl.paramavg.aggregator: Add function for parameter averaging
ParameterAveragingElementAddFunction() - Constructor for class org.deeplearning4j.spark.impl.paramavg.aggregator.ParameterAveragingElementAddFunction
ParameterAveragingElementCombineFunction - Class in org.deeplearning4j.spark.impl.paramavg.aggregator: Function used in ParameterAveraging TrainingMaster, for doing parameter averaging, and handling updaters
ParameterAveragingElementCombineFunction() - Constructor for class org.deeplearning4j.spark.impl.paramavg.aggregator.ParameterAveragingElementCombineFunction
ParameterAveragingTrainingMaster - Class in org.deeplearning4j.spark.impl.paramavg: ParameterAveragingTrainingMaster: A TrainingMaster implementation for training networks on Spark.
ParameterAveragingTrainingMaster(boolean, Integer, int, int, int, int) - Constructor for class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
ParameterAveragingTrainingMaster(boolean, Integer, int, int, int, int, Repartition, RepartitionStrategy, boolean) - Constructor for class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
ParameterAveragingTrainingMaster(boolean, Integer, int, int, int, int, Repartition, RepartitionStrategy, StorageLevel, boolean) - Constructor for class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
ParameterAveragingTrainingMaster.Builder - Class in org.deeplearning4j.spark.impl.paramavg
ParameterAveragingTrainingMasterStats - Class in org.deeplearning4j.spark.impl.paramavg.stats: Statistics collected by a ParameterAveragingTrainingMaster
ParameterAveragingTrainingMasterStats(SparkTrainingStats, List<EventStats>, List<EventStats>, List<EventStats>, List<EventStats>, List<EventStats>, List<EventStats>, List<EventStats>, List<EventStats>, List<EventStats>) - Constructor for class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper - Class in org.deeplearning4j.spark.impl.paramavg.stats
ParameterAveragingTrainingMasterStatsHelper() - Constructor for class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper
ParameterAveragingTrainingResult - Class in org.deeplearning4j.spark.impl.paramavg: The results (parameters, optional updaters) returned by a ParameterAveragingTrainingWorker to the ParameterAveragingTrainingMaster
ParameterAveragingTrainingResult(INDArray, INDArray, double, Collection<StorageMetaData>, Collection<Persistable>, Collection<Persistable>) - Constructor for class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingResult
ParameterAveragingTrainingResult(INDArray, INDArray, double, SparkTrainingStats, Collection<StorageMetaData>, Collection<Persistable>, Collection<Persistable>) - Constructor for class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingResult
ParameterAveragingTrainingWorker - Class in org.deeplearning4j.spark.impl.paramavg: ParameterAveragingTrainingWorker implements standard parameter averaging every m iterations.
ParameterAveragingTrainingWorker(Broadcast<NetBroadcastTuple>, boolean, WorkerConfiguration, Collection<TrainingHook>, Collection<IterationListener>, StatsStorageRouterProvider) - Constructor for class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingWorker
ParameterAveragingTrainingWorkerStats - Class in org.deeplearning4j.spark.impl.paramavg.stats: Statistics collected by ParameterAveragingTrainingWorker instances
ParameterAveragingTrainingWorkerStats(List<EventStats>, List<EventStats>, List<EventStats>) - Constructor for class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingWorkerStats
ParameterAveragingTrainingWorkerStats.ParameterAveragingTrainingWorkerStatsHelper - Class in org.deeplearning4j.spark.impl.paramavg.stats
ParameterAveragingTrainingWorkerStatsHelper() - Constructor for class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingWorkerStats.ParameterAveragingTrainingWorkerStatsHelper
ParameterServerParallelWrapperTest - Class in org.deeplearning4j.parallelism.parameterserver: Created by agibsonccc on 12/17/16.
ParameterServerParallelWrapperTest() - Constructor for class org.deeplearning4j.parallelism.parameterserver.ParameterServerParallelWrapperTest
ParameterServerSubscriber - Class in org.deeplearning4j.spark.parameterserver: Created by agibsonccc on 9/27/16.
ParameterServerSubscriber() - Constructor for class org.deeplearning4j.spark.parameterserver.ParameterServerSubscriber
ParameterServerTrainer - Class in org.deeplearning4j.parallelism.parameterserver: Using an ParameterServerClient we maintain updates for training a neural net.
ParameterServerTrainer() - Constructor for class org.deeplearning4j.parallelism.parameterserver.ParameterServerTrainer
ParameterServerTrainer.ParameterServerTrainerBuilder - Class in org.deeplearning4j.parallelism.parameterserver
ParameterServerTrainerBuilder() - Constructor for class org.deeplearning4j.parallelism.parameterserver.ParameterServerTrainer.ParameterServerTrainerBuilder
ParameterServerTrainerContext - Class in org.deeplearning4j.parallelism.parameterserver: Used for creating and running ParallelWrapper with ParameterServerTrainer workers.
ParameterServerTrainerContext() - Constructor for class org.deeplearning4j.parallelism.parameterserver.ParameterServerTrainerContext
ParameterServerTrainingHook - Class in org.deeplearning4j.spark.parameterserver: Training hook for the parameter server
ParameterServerTrainingHook() - Constructor for class org.deeplearning4j.spark.parameterserver.ParameterServerTrainingHook
ParamHelper() - Constructor for class org.deeplearning4j.spark.ml.impl.AutoEncoderNetworkTest.ParamHelper
ParamHelper() - Constructor for class org.deeplearning4j.spark.ml.impl.SparkDl4jNetworkTest.ParamHelper
ParamInitializer - Interface in org.deeplearning4j.nn.api: Param initializer for a layer
paramName() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.ParamNamesDecoder
paramName(String) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.ParamNamesEncoder
paramNameCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.ParamNamesDecoder
paramNameCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.ParamNamesEncoder
paramNameHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.ParamNamesDecoder
paramNameHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.ParamNamesEncoder
paramNameId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.ParamNamesDecoder
paramNameId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.ParamNamesEncoder
paramNameLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.ParamNamesDecoder
paramNameMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.ParamNamesDecoder
paramNameMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.ParamNamesEncoder
paramNames() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
paramNamesCount(int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
ParamNamesDecoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.ParamNamesDecoder
paramNamesDecoderId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
ParamNamesEncoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.ParamNamesEncoder
paramNamesId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
params() - Method in interface org.deeplearning4j.nn.api.Model: Parameters of the model (if any)
params(boolean) - Method in class org.deeplearning4j.nn.graph.ComputationGraph: Get the parameters for the ComputationGraph
params() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
params() - Method in class org.deeplearning4j.nn.layers.ActivationLayer
params - Variable in class org.deeplearning4j.nn.layers.BaseLayer
params() - Method in class org.deeplearning4j.nn.layers.BaseLayer: Returns the parameters of the neural network as a flattened row vector
params() - Method in class org.deeplearning4j.nn.layers.BasePretrainNetwork
params() - Method in class org.deeplearning4j.nn.layers.convolution.ConvolutionLayer
params() - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingLayer
params() - Method in class org.deeplearning4j.nn.layers.DropoutLayer
params() - Method in class org.deeplearning4j.nn.layers.FrozenLayer
params() - Method in class org.deeplearning4j.nn.layers.LossLayer
params() - Method in class org.deeplearning4j.nn.layers.normalization.LocalResponseNormalization
params - Variable in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
params() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
params(boolean) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork: Returns a 1 x m vector where the vector is composed of a flattened vector of all of the weights for the various neuralNets(w,hbias NOT VBIAS) and output layer
params() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork: Returns a 1 x m vector where the vector is composed of a flattened vector of all of the weights for the various neuralNets(w,hbias NOT VBIAS) and output layer
params() - Method in class org.deeplearning4j.plot.BarnesHutTsne
params - Variable in class org.deeplearning4j.spark.impl.common.score.BaseVaeScoreWithKeyFunctionAdapter
PARAMS_KEY - Static variable in class org.deeplearning4j.optimize.solvers.BaseOptimizer
paramServer - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.PartitionTrainingFunction
paramServer - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.TrainingFunction
paramServerConfiguration - Variable in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors
paramServerConfigurationBroadcast - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.PartitionTrainingFunction
paramServerConfigurationBroadcast - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.TrainingFunction
paramsFlattened - Variable in class org.deeplearning4j.nn.layers.BaseLayer
paramsFlattened - Variable in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
paramTable() - Method in interface org.deeplearning4j.nn.api.Model: The param table
paramTable(boolean) - Method in interface org.deeplearning4j.nn.api.Model: Table of parameters by key, for backprop For many models (dense layers, etc) - all parameters are backprop parameters
paramTable() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
paramTable(boolean) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
paramTable() - Method in class org.deeplearning4j.nn.layers.BaseLayer
paramTable(boolean) - Method in class org.deeplearning4j.nn.layers.BaseLayer
paramTable - Variable in class org.deeplearning4j.nn.layers.BaseLayerTest
paramTable(boolean) - Method in class org.deeplearning4j.nn.layers.BasePretrainNetwork
paramTable() - Method in class org.deeplearning4j.nn.layers.FrozenLayer
paramTable(boolean) - Method in class org.deeplearning4j.nn.layers.FrozenLayer
paramTable() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
paramTable(boolean) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
paramTable() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
paramTable(boolean) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
paramTable() - Method in class org.deeplearning4j.plot.BarnesHutTsne
paramTable(boolean) - Method in class org.deeplearning4j.plot.BarnesHutTsne
parent(int) - Method in class org.deeplearning4j.berkeley.PriorityQueue
parent(Tree) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree: Returns the parent of the passed in tree via traversal
parent() - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
parentNode - Variable in class org.deeplearning4j.spark.models.sequencevectors.utils.NetworkOrganizer.VirtualNode
parse(String) - Method in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
parse(String) - Method in class com.atilika.kuromoji.ipadic.compile.TokenInfoDictionaryCompiler
parse(String) - Method in class com.atilika.kuromoji.util.UnknownDictionaryEntryParser
parse(String, Class<E>) - Static method in class org.deeplearning4j.util.EnumUtil
parseCommandLineArguments(String[]) - Static method in class org.deeplearning4j.berkeley.StringUtils: A simpler form of command line argument parsing.
ParseException - Exception in org.deeplearning4j.graph.exception: Unchecked exception signifying that an error occurred during parsing of text
ParseException() - Constructor for exception org.deeplearning4j.graph.exception.ParseException
ParseException(String) - Constructor for exception org.deeplearning4j.graph.exception.ParseException
ParseException(String, Exception) - Constructor for exception org.deeplearning4j.graph.exception.ParseException
ParseException - Exception in org.deeplearning4j.models.sequencevectors.graph.exception: Unchecked exception signifying that an error occurred during parsing of text
ParseException() - Constructor for exception org.deeplearning4j.models.sequencevectors.graph.exception.ParseException
ParseException(String) - Constructor for exception org.deeplearning4j.models.sequencevectors.graph.exception.ParseException
ParseException(String, Exception) - Constructor for exception org.deeplearning4j.models.sequencevectors.graph.exception.ParseException
parseJsonString(String) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModel: Convenience function for parsing JSON strings.
parseLine(String) - Static method in class com.atilika.kuromoji.util.DictionaryEntryLineParser: Parse CSV line
parseTime(long) - Method in class org.deeplearning4j.ui.flow.FlowIterationListener: Deprecated.
parseTime(long) - Method in class org.deeplearning4j.ui.flow.RemoteFlowIterationListener
parseYamlString(String) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModel: Convenience function for parsing JSON strings.
PART_OF_SPEECH_FEATURE - Static variable in class com.atilika.kuromoji.ipadic.compile.DictionaryEntry
PART_OF_SPEECH_LEVEL_1 - Static variable in class com.atilika.kuromoji.ipadic.compile.DictionaryEntry
PART_OF_SPEECH_LEVEL_2 - Static variable in class com.atilika.kuromoji.ipadic.compile.DictionaryEntry
PART_OF_SPEECH_LEVEL_3 - Static variable in class com.atilika.kuromoji.ipadic.compile.DictionaryEntry
PART_OF_SPEECH_LEVEL_4 - Static variable in class com.atilika.kuromoji.ipadic.compile.DictionaryEntry
PartitionCountEventStats - Class in org.deeplearning4j.spark.stats: Event stats implementation with partition count
PartitionCountEventStats(long, long, int) - Constructor for class org.deeplearning4j.spark.stats.PartitionCountEventStats
PartitionCountEventStats(String, String, long, long, long, int) - Constructor for class org.deeplearning4j.spark.stats.PartitionCountEventStats
PartitionTrainingFunction<T extends SequenceElement> - Class in org.deeplearning4j.spark.models.sequencevectors.functions
PartitionTrainingFunction(Broadcast<VocabCache<ShallowSequenceElement>>, Broadcast<VectorsConfiguration>, Broadcast<VoidConfiguration>) - Constructor for class org.deeplearning4j.spark.models.sequencevectors.functions.PartitionTrainingFunction
partitionVariable(List<Double>, int) - Static method in class org.deeplearning4j.util.MathUtils: This will partition the given whole variable data applyTransformToDestination in to the specified chunk number.
partOfSpeechFeature - Variable in class com.atilika.kuromoji.TokenizerBase.Builder
path - Variable in class org.deeplearning4j.spark.models.sequencevectors.export.impl.HdfsModelExporter
path - Variable in class org.deeplearning4j.text.sentenceiterator.UimaSentenceIterator
PathSparkDataSetIterator - Class in org.deeplearning4j.spark.iterator: A DataSetIterator that loads serialized DataSet objects (saved with DataSet.save(OutputStream)) from a String that represents the path (for example, on HDFS)
PathSparkDataSetIterator(Iterator<String>) - Constructor for class org.deeplearning4j.spark.iterator.PathSparkDataSetIterator
PathSparkDataSetIterator(Collection<String>) - Constructor for class org.deeplearning4j.spark.iterator.PathSparkDataSetIterator
PathSparkMultiDataSetIterator - Class in org.deeplearning4j.spark.iterator: A DataSetIterator that loads serialized DataSet objects (saved with MultiDataSet.save(OutputStream)) from a String that represents the path (for example, on HDFS)
PathSparkMultiDataSetIterator(Iterator<String>) - Constructor for class org.deeplearning4j.spark.iterator.PathSparkMultiDataSetIterator
PathSparkMultiDataSetIterator(Collection<String>) - Constructor for class org.deeplearning4j.spark.iterator.PathSparkMultiDataSetIterator
PathToDataSetFunction - Class in org.deeplearning4j.spark.data: Simple function used to load DataSets (serialized with DataSet.save()) from a given Path (as a String) to a DataSet object - i.e., RDD<String> to RDD<DataSet>
PathToDataSetFunction() - Constructor for class org.deeplearning4j.spark.data.PathToDataSetFunction
PathToMultiDataSetFunction - Class in org.deeplearning4j.spark.data: Simple function used to load MultiDataSets (serialized with MultiDataSet.save()) from a given Path (as a String) to a MultiDataSet object - i.e., RDD<String> to RDD<MultiDataSet>
PathToMultiDataSetFunction() - Constructor for class org.deeplearning4j.spark.data.PathToMultiDataSetFunction
PathUpdate - Class in org.deeplearning4j.ui.activation
PathUpdate() - Constructor for class org.deeplearning4j.ui.activation.PathUpdate
PathUpdate - Class in org.deeplearning4j.ui.renders
PathUpdate() - Constructor for class org.deeplearning4j.ui.renders.PathUpdate
PatriciaNode(String, V, int) - Constructor for class com.atilika.kuromoji.trie.PatriciaTrie.PatriciaNode: Constructs a new node
PatriciaTrie<V> - Class in com.atilika.kuromoji.trie: Convenient and compact structure for storing key-value pairs and quickly looking them up, including doing prefix searches
PatriciaTrie() - Constructor for class com.atilika.kuromoji.trie.PatriciaTrie: Constructs and empty trie
PatriciaTrie.KeyMapper<K> - Interface in com.atilika.kuromoji.trie: Generic interface to map a key to bits
PatriciaTrie.PatriciaNode<V> - Class in com.atilika.kuromoji.trie: Nodes used in a PatriciaTrie containing a String key and associated value data
PatriciaTrie.StringKeyMapper - Class in com.atilika.kuromoji.trie: A PatriciaTrie.KeyMapper mapping Strings to bits
PatriciaTrieFormatter<V> - Class in com.atilika.kuromoji.trie: Utility class to format a PatriciaTrie to dot format for debugging, inspection, etc.
PatriciaTrieFormatter() - Constructor for class com.atilika.kuromoji.trie.PatriciaTrieFormatter: Constructor
PatriciaTrieTest - Class in com.atilika.kuromoji.trie
PatriciaTrieTest() - Constructor for class com.atilika.kuromoji.trie.PatriciaTrieTest
pattern0 - Static variable in class org.deeplearning4j.spark.models.sequencevectors.export.ExportContainer
pattern1 - Static variable in class org.deeplearning4j.spark.models.sequencevectors.export.ExportContainer
peek() - Method in class org.deeplearning4j.berkeley.PriorityQueue
peek() - Method in interface org.deeplearning4j.berkeley.PriorityQueueInterface: Returns the highest-priority element in the queue, but does not pop it.
peek() - Method in class org.deeplearning4j.parallelism.MagicQueue
peek() - Method in class org.deeplearning4j.util.DiskBasedQueue
peersConfiguration - Variable in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder
penalties - Variable in class com.atilika.kuromoji.TokenizerBase.Builder
pennPOSToWordnetPOS(String) - Static method in class org.deeplearning4j.berkeley.StringUtils: Computes the WordNet 2.0 POS tag corresponding to the PTB POS tag s.
performance() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
performance() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
performance(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
performanceCount(int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
PerformanceDecoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
performanceDecoderId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
PerformanceEncoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
performanceId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
PerformanceListener - Class in org.deeplearning4j.optimize.listeners: Simple IterationListener that tracks time spend on training per iteration.
PerformanceListener(int) - Constructor for class org.deeplearning4j.optimize.listeners.PerformanceListener
PerformanceListener(int, boolean) - Constructor for class org.deeplearning4j.optimize.listeners.PerformanceListener
PerformanceListener.Builder - Class in org.deeplearning4j.optimize.listeners
PerformanceTests - Class in org.deeplearning4j.text.tokenization.tokenizer
PerformanceTests() - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.PerformanceTests
permutation(double, double) - Static method in class org.deeplearning4j.util.MathUtils: This returns the permutation of n choose r.
perParameterStats() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
perParameterStatsCount(int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
PerParameterStatsDecoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder
perParameterStatsDecoderId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
PerParameterStatsEncoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder
perParameterStatsId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
perplexity(double) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
perplexity - Variable in class org.deeplearning4j.plot.BarnesHutTsne
perplexity - Variable in class org.deeplearning4j.plot.Tsne.Builder
perplexity(double) - Method in class org.deeplearning4j.plot.Tsne.Builder
perplexity - Variable in class org.deeplearning4j.plot.Tsne
Persistable - Interface in org.deeplearning4j.api.storage: Created by Alex on 07/10/2016.
Pipeline - Interface in org.deeplearning4j: A pipeline consists of a set of input,output, and datavec uris.
PlayUIServer - Class in org.deeplearning4j.ui.play: A UI server based on the Play framework
PlayUIServer() - Constructor for class org.deeplearning4j.ui.play.PlayUIServer
PlayUIServer(int) - Constructor for class org.deeplearning4j.ui.play.PlayUIServer
plot(INDArray, int, List<String>, String) - Method in class org.deeplearning4j.plot.BarnesHutTsne: Deprecated.
use BarnesHutTsne.fit(INDArray) and BarnesHutTsne.saveAsFile(List, String) instead.
plot(INDArray, int, List<String>, String) - Method in class org.deeplearning4j.plot.Tsne
plotVocab(BarnesHutTsne, int, File) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
plotVocab(int, File) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable: Render the words via tsne
plotVocab(int, UiConnectionInfo) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable: Render the words via tsne
plotVocab(BarnesHutTsne, int, UiConnectionInfo) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable: Render the words via TSNE
plotVocab(BarnesHutTsne, int, UiConnectionInfo) - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable: Render the words via TSNE
plotVocab(BarnesHutTsne, int, File) - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable: Render the words via TSNE
plotVocab(int, UiConnectionInfo) - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable: Render the words via tsne
plotVocab(int, File) - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable: Render the words via tsne
pnorm(int) - Method in class org.deeplearning4j.nn.conf.layers.GlobalPoolingLayer.Builder: P-norm constant.
pnorm - Variable in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder
pnorm(int) - Method in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder
pnorm - Variable in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer
Point - Class in org.deeplearning4j.clustering.cluster
Point() - Constructor for class org.deeplearning4j.clustering.cluster.Point
Point(INDArray) - Constructor for class org.deeplearning4j.clustering.cluster.Point
Point(String, INDArray) - Constructor for class org.deeplearning4j.clustering.cluster.Point
Point(String, String, double[]) - Constructor for class org.deeplearning4j.clustering.cluster.Point
Point(String, String, INDArray) - Constructor for class org.deeplearning4j.clustering.cluster.Point
point(INDArray) - Static method in class org.deeplearning4j.clustering.kdtree.HyperRect
PointClassification - Class in org.deeplearning4j.clustering.cluster
PointClassification() - Constructor for class org.deeplearning4j.clustering.cluster.PointClassification
PointClassification(Cluster, double, boolean) - Constructor for class org.deeplearning4j.clustering.cluster.PointClassification
pointOf(Collection<Writable>) - Static method in class org.deeplearning4j.spark.util.MLLibUtil: Returns a labeled point of the writables where the final item is the point and the rest of the items are features
points - Variable in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
pointSize - Variable in class org.deeplearning4j.ui.components.chart.style.StyleChart.Builder
pointSize(double) - Method in class org.deeplearning4j.ui.components.chart.style.StyleChart.Builder: Point size, for scatter plot etc
pointSize - Variable in class org.deeplearning4j.ui.components.chart.style.StyleChart
poll(long, TimeUnit) - Method in class org.deeplearning4j.parallelism.MagicQueue: This method is supposed to be called from managed thread, attached to specific device.
poll() - Method in class org.deeplearning4j.parallelism.MagicQueue: This method is supposed to be called from managed thread, attached to specific device.
poll() - Method in class org.deeplearning4j.util.DiskBasedQueue
POOLING_TYPE - Static variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayerTest
poolingDimensions(int...) - Method in class org.deeplearning4j.nn.conf.layers.GlobalPoolingLayer.Builder: Pooling dimensions.
poolingType(PoolingType) - Method in class org.deeplearning4j.nn.conf.layers.GlobalPoolingLayer.Builder
PoolingType - Enum in org.deeplearning4j.nn.conf.layers: Created by Alex on 17/01/2017.
poolingType - Variable in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder
poolingType(SubsamplingLayer.PoolingType) - Method in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder
poolingType - Variable in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer
PopularityMode - Enum in org.deeplearning4j.models.sequencevectors.graph.enums: This enum is used in PopularityWalker, and it defines which nodes will be considered for next hop.
popularityMode - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker.Builder
popularityMode - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker
PopularityWalker<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.graph.walkers.impl: This is vertex popularity-based walker for SequenceVectors-based DeepWalk implementation.
PopularityWalker() - Constructor for class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker
PopularityWalker.Builder<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.graph.walkers.impl
PopularityWalkerTest - Class in org.deeplearning4j.models.sequencevectors.graph.walkers.impl
PopularityWalkerTest() - Constructor for class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalkerTest
PortableDataStreamDataSetIterator - Class in org.deeplearning4j.spark.iterator: A DataSetIterator that loads serialized DataSet objects (saved with DataSet.save(OutputStream)) from a PortableDataStream, usually obtained from SparkContext.binaryFiles()
PortableDataStreamDataSetIterator(Iterator<PortableDataStream>) - Constructor for class org.deeplearning4j.spark.iterator.PortableDataStreamDataSetIterator
PortableDataStreamDataSetIterator(Collection<PortableDataStream>) - Constructor for class org.deeplearning4j.spark.iterator.PortableDataStreamDataSetIterator
PortableDataStreamMultiDataSetIterator - Class in org.deeplearning4j.spark.iterator: A DataSetIterator that loads serialized MultiDataSet objects (saved with MultiDataSet.save(OutputStream)) from a PortableDataStream, usually obtained from SparkContext.binaryFiles()
PortableDataStreamMultiDataSetIterator(Iterator<PortableDataStream>) - Constructor for class org.deeplearning4j.spark.iterator.PortableDataStreamMultiDataSetIterator
PortableDataStreamMultiDataSetIterator(Collection<PortableDataStream>) - Constructor for class org.deeplearning4j.spark.iterator.PortableDataStreamMultiDataSetIterator
pos(List<String>) - Method in class com.atilika.kuromoji.dict.GenericDictionaryEntry.Builder
POS_MAP_FILENAME - Static variable in class com.atilika.kuromoji.dict.TokenInfoDictionary
posInfo - Variable in class com.atilika.kuromoji.buffer.BufferEntry
posInfo - Variable in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
posInfos - Variable in class com.atilika.kuromoji.buffer.BufferEntry
position - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker
position - Variable in class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator
position - Variable in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator
positive() - Method in class org.deeplearning4j.eval.Evaluation: Returns all of the positive guesses: true positive + false negative
PoStagger - Class in org.deeplearning4j.text.annotator
PoStagger() - Constructor for class org.deeplearning4j.text.annotator.PoStagger: Initializes a new instance.
postApply(Layer, INDArray, String, int) - Method in class org.deeplearning4j.nn.updater.LayerUpdater: Apply the regularization
postFirstStep(INDArray) - Method in class org.deeplearning4j.optimize.solvers.BaseOptimizer
postProcessAnnotations(Span[], AnnotationFS[]) - Method in class org.deeplearning4j.text.tokenization.tokenizer.ConcurrentTokenizer
postReport(WebTarget, Entity) - Method in class org.deeplearning4j.ui.WebReporter: This method immediately sends UI report to specified target using POST request
postStep(INDArray) - Method in interface org.deeplearning4j.optimize.api.ConvexOptimizer: After the step has been made, do an action
postStep(INDArray) - Method in class org.deeplearning4j.optimize.solvers.BaseOptimizer: Post step to update searchDirection with new gradient and parameter information
postStep(INDArray) - Method in class org.deeplearning4j.optimize.solvers.ConjugateGradient
postStep(INDArray) - Method in class org.deeplearning4j.optimize.solvers.LBFGS
postStep(INDArray) - Method in class org.deeplearning4j.optimize.solvers.LineGradientDescent
postStep(INDArray) - Method in class org.deeplearning4j.optimize.solvers.StochasticGradientDescent
postUpdate(DataSet, Model) - Method in interface org.deeplearning4j.spark.api.TrainingHook: A hook method for post update
postUpdate(MultiDataSet, Model) - Method in interface org.deeplearning4j.spark.api.TrainingHook: A hook method for post update
postUpdate(DataSet, Model) - Method in class org.deeplearning4j.spark.parameterserver.ParameterServerTrainingHook: A hook method for post update
postUpdate(MultiDataSet, Model) - Method in class org.deeplearning4j.spark.parameterserver.ParameterServerTrainingHook: A hook method for post update
PosUimaTokenizer - Class in org.deeplearning4j.text.tokenization.tokenizer: Filter by part of speech tag.
PosUimaTokenizer(String, AnalysisEngine, Collection<String>) - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.PosUimaTokenizer
PosUimaTokenizer(String, AnalysisEngine, Collection<String>, boolean) - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.PosUimaTokenizer
PosUimaTokenizerFactory - Class in org.deeplearning4j.text.tokenization.tokenizerfactory: Creates a tokenizer that filters by part of speech tags
PosUimaTokenizerFactory(Collection<String>, boolean) - Constructor for class org.deeplearning4j.text.tokenization.tokenizerfactory.PosUimaTokenizerFactory
PosUimaTokenizerFactory(Collection<String>) - Constructor for class org.deeplearning4j.text.tokenization.tokenizerfactory.PosUimaTokenizerFactory
PosUimaTokenizerFactory(AnalysisEngine, Collection<String>) - Constructor for class org.deeplearning4j.text.tokenization.tokenizerfactory.PosUimaTokenizerFactory
PosUimaTokenizerFactoryTest - Class in org.deeplearning4j.text.tokenization.tokenizerfactory
PosUimaTokenizerFactoryTest() - Constructor for class org.deeplearning4j.text.tokenization.tokenizerfactory.PosUimaTokenizerFactoryTest
posValues - Variable in class com.atilika.kuromoji.dict.TokenInfoDictionary
preApply(Layer, Gradient, int) - Method in class org.deeplearning4j.nn.updater.LayerUpdater: Apply gradient normalization: scale based on L2, clipping etc.
preciseWeightInit - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
precision(Integer) - Method in class org.deeplearning4j.eval.Evaluation: Returns the precision for a given label
precision(Integer, double) - Method in class org.deeplearning4j.eval.Evaluation: Returns the precision for a given label
precision() - Method in class org.deeplearning4j.eval.Evaluation: Precision based on guesses so far Takes into account all known classes and outputs average precision across all of them
precision(int) - Method in class org.deeplearning4j.eval.EvaluationBinary: Get the precision (tp / (tp + fp)) for the specified output
PrecisionRecallPoint() - Constructor for class org.deeplearning4j.eval.ROC.PrecisionRecallPoint
PrecisionRecallPoint() - Constructor for class org.deeplearning4j.eval.ROCBinary.PrecisionRecallPoint
predict(String) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors: Deprecated.
predict(LabelledDocument) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors: Deprecated.
predict(List<VocabWord>) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors: Deprecated.
predict(INDArray) - Method in interface org.deeplearning4j.nn.api.Classifier: Takes in a list of examples For each row, returns a label
predict(DataSet) - Method in interface org.deeplearning4j.nn.api.Classifier: Takes in a DataSet of examples For each row, returns a label
predict(INDArray) - Method in class org.deeplearning4j.nn.layers.BaseOutputLayer: Returns the predictions for each example in the dataset
predict(DataSet) - Method in class org.deeplearning4j.nn.layers.BaseOutputLayer: Return predicted label names
predict(INDArray) - Method in class org.deeplearning4j.nn.layers.LossLayer: Returns the predictions for each example in the dataset
predict(DataSet) - Method in class org.deeplearning4j.nn.layers.LossLayer: Return predicted label names
predict(INDArray) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork: Returns the predictions for each example in the dataset
predict(DataSet) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork: Return predicted label names
predict(Matrix) - Method in class org.deeplearning4j.spark.impl.layer.SparkDl4jLayer: Predict the given feature matrix
predict(Vector) - Method in class org.deeplearning4j.spark.impl.layer.SparkDl4jLayer: Predict the given vector
predict(Matrix) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer: Predict the given feature matrix
predict(Vector) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer: Predict the given vector
Prediction - Class in org.deeplearning4j.eval.meta: Prediction: a prediction for classification, used with the Evaluation class.
Prediction() - Constructor for class org.deeplearning4j.eval.meta.Prediction
prediction() - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
predictSeveral(LabelledDocument, int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors: Deprecated.
predictSeveral(String, int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors: Deprecated.
predictSeveral(List<VocabWord>, int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors: Deprecated.
prefetchBuffer(int) - Method in class org.deeplearning4j.parallelism.ParallelWrapper.Builder: Size of prefetch buffer that will be used for background data prefetching.
PrefetchingSentenceIterator - Class in org.deeplearning4j.text.sentenceiterator: Deprecated.
PrefetchingSentenceIterator.Builder - Class in org.deeplearning4j.text.sentenceiterator: Deprecated.
PrefetchingSentenceIteratorTest - Class in org.deeplearning4j.text.sentenceiterator
PrefetchingSentenceIteratorTest() - Constructor for class org.deeplearning4j.text.sentenceiterator.PrefetchingSentenceIteratorTest
prefetchNumBatches - Variable in class org.deeplearning4j.spark.api.WorkerConfiguration
prefetchSize - Variable in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
prefetchSize - Variable in class org.deeplearning4j.parallelism.ParallelWrapper
preloadedDataSet - Variable in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
preOutput(INDArray) - Method in interface org.deeplearning4j.nn.api.Layer: Raw activations
preOutput(INDArray, Layer.TrainingMode) - Method in interface org.deeplearning4j.nn.api.Layer: Raw activations
preOutput(INDArray, boolean) - Method in interface org.deeplearning4j.nn.api.Layer: Raw activations
preOutput(INDArray, Layer.TrainingMode) - Method in class org.deeplearning4j.nn.layers.BaseLayer
preOutput(INDArray, boolean) - Method in class org.deeplearning4j.nn.layers.BaseLayer
preOutput(boolean) - Method in class org.deeplearning4j.nn.layers.BaseLayer
preOutput(INDArray) - Method in class org.deeplearning4j.nn.layers.BaseLayer: Classify input
preOutput(boolean) - Method in class org.deeplearning4j.nn.layers.convolution.Convolution1DLayer
preOutput(INDArray, INDArray, INDArray, int[], int[], int[], ConvolutionLayer.AlgoMode, ConvolutionMode) - Method in interface org.deeplearning4j.nn.layers.convolution.ConvolutionHelper
preOutput(boolean) - Method in class org.deeplearning4j.nn.layers.convolution.ConvolutionLayer
preOutput(INDArray, INDArray, INDArray, int[], int[], int[], ConvolutionLayer.AlgoMode, ConvolutionMode) - Method in class org.deeplearning4j.nn.layers.convolution.CudnnConvolutionHelper
preOutput(boolean) - Method in class org.deeplearning4j.nn.layers.DropoutLayer
preOutput(boolean) - Method in class org.deeplearning4j.nn.layers.feedforward.embedding.EmbeddingLayer
preOutput(INDArray, boolean) - Method in class org.deeplearning4j.nn.layers.feedforward.rbm.RBM
preOutput(INDArray) - Method in class org.deeplearning4j.nn.layers.FrozenLayer
preOutput(INDArray, Layer.TrainingMode) - Method in class org.deeplearning4j.nn.layers.FrozenLayer
preOutput(INDArray, boolean) - Method in class org.deeplearning4j.nn.layers.FrozenLayer
preOutput(INDArray) - Method in class org.deeplearning4j.nn.layers.normalization.BatchNormalization
preOutput(INDArray, Layer.TrainingMode) - Method in class org.deeplearning4j.nn.layers.normalization.BatchNormalization
preOutput(INDArray, boolean) - Method in class org.deeplearning4j.nn.layers.normalization.BatchNormalization
preOutput(INDArray, boolean, int[], INDArray, INDArray, INDArray, INDArray, double, double) - Method in interface org.deeplearning4j.nn.layers.normalization.BatchNormalizationHelper
preOutput(INDArray, boolean, int[], INDArray, INDArray, INDArray, INDArray, double, double) - Method in class org.deeplearning4j.nn.layers.normalization.CudnnBatchNormalizationHelper
preOutput(INDArray) - Method in class org.deeplearning4j.nn.layers.recurrent.GravesBidirectionalLSTM
preOutput(INDArray, boolean) - Method in class org.deeplearning4j.nn.layers.recurrent.GravesBidirectionalLSTM
preOutput(INDArray) - Method in class org.deeplearning4j.nn.layers.recurrent.GravesLSTM
preOutput(INDArray, boolean) - Method in class org.deeplearning4j.nn.layers.recurrent.GravesLSTM
preOutput(INDArray, boolean) - Method in class org.deeplearning4j.nn.layers.recurrent.RnnOutputLayer
preOutput(INDArray) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
preOutput(INDArray, Layer.TrainingMode) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
preOutput(INDArray, boolean) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
preOutput(boolean) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
preOutput(INDArray) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
preOutput(INDArray, Layer.TrainingMode) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
preOutput(INDArray, boolean) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
preOutput2d(boolean) - Method in class org.deeplearning4j.nn.layers.BaseOutputLayer
preOutput2d(boolean) - Method in class org.deeplearning4j.nn.layers.recurrent.RnnOutputLayer
preOutput4d(boolean) - Method in class org.deeplearning4j.nn.layers.convolution.Convolution1DLayer
preOutput4d(boolean) - Method in class org.deeplearning4j.nn.layers.convolution.ConvolutionLayer: preOutput4d: Used so that ConvolutionLayer subclasses (such as Convolution1DLayer) can maintain their standard non-4d preOutput method, while overriding this to return 4d activations (for use in backprop) without modifying the public API
prependToEach(String, int) - Method in class org.deeplearning4j.util.StringGrid
preProcess(DataSet) - Method in class org.deeplearning4j.datasets.iterator.CombinedPreProcessor: Pre process a dataset sequentially
preProcess(DataSet) - Method in class org.deeplearning4j.datasets.iterator.DummyPreProcessor: Pre process a dataset
preProcess(INDArray, int) - Method in interface org.deeplearning4j.nn.conf.InputPreProcessor: Pre preProcess input/activations for a multi layer network
preProcess(INDArray, int) - Method in class org.deeplearning4j.nn.conf.preprocessor.BinomialSamplingPreProcessor
preProcess(INDArray, int) - Method in class org.deeplearning4j.nn.conf.preprocessor.CnnToFeedForwardPreProcessor
preProcess(INDArray, int) - Method in class org.deeplearning4j.nn.conf.preprocessor.CnnToRnnPreProcessor
preProcess(INDArray, int) - Method in class org.deeplearning4j.nn.conf.preprocessor.ComposableInputPreProcessor
preProcess(INDArray, int) - Method in class org.deeplearning4j.nn.conf.preprocessor.custom.MyCustomPreprocessor
preProcess(INDArray, int) - Method in class org.deeplearning4j.nn.conf.preprocessor.FeedForwardToCnnPreProcessor
preProcess(INDArray, int) - Method in class org.deeplearning4j.nn.conf.preprocessor.FeedForwardToRnnPreProcessor
preProcess(INDArray, int) - Method in class org.deeplearning4j.nn.conf.preprocessor.RnnToCnnPreProcessor
preProcess(INDArray, int) - Method in class org.deeplearning4j.nn.conf.preprocessor.RnnToFeedForwardPreProcessor
preProcess(INDArray, int) - Method in class org.deeplearning4j.nn.conf.preprocessor.UnitVarianceProcessor
preProcess(INDArray, int) - Method in class org.deeplearning4j.nn.conf.preprocessor.ZeroMeanAndUnitVariancePreProcessor
preProcess(INDArray, int) - Method in class org.deeplearning4j.nn.conf.preprocessor.ZeroMeanPrePreProcessor
preProcess(INDArray, int) - Method in class org.deeplearning4j.nn.modelimport.keras.preprocessors.TensorFlowCnnToFeedForwardPreProcessor
preProcess(String) - Method in interface org.deeplearning4j.text.sentenceiterator.SentencePreProcessor: Pre process a sentence
preProcess(String) - Method in class org.deeplearning4j.text.tokenization.tokenizer.preprocessor.CommonPreprocessor
preProcess(String) - Method in class org.deeplearning4j.text.tokenization.tokenizer.preprocessor.CustomStemmingPreprocessor
preProcess(String) - Method in class org.deeplearning4j.text.tokenization.tokenizer.preprocessor.EmbeddedStemmingPreprocessor
preProcess(String) - Method in class org.deeplearning4j.text.tokenization.tokenizer.preprocessor.EndingPreProcessor
preProcess(String) - Method in class org.deeplearning4j.text.tokenization.tokenizer.preprocessor.LowCasePreProcessor: Pre process a token
preProcess(String) - Method in class org.deeplearning4j.text.tokenization.tokenizer.preprocessor.StemmingPreprocessor
preProcess(String) - Method in interface org.deeplearning4j.text.tokenization.tokenizer.TokenPreProcess: Pre process a token
preProcessLine() - Method in interface org.deeplearning4j.optimize.api.ConvexOptimizer: Pre preProcess a line before an iteration
preProcessLine() - Method in class org.deeplearning4j.optimize.solvers.BaseOptimizer: Pre preProcess to setup initial searchDirection approximation
preProcessLine() - Method in class org.deeplearning4j.optimize.solvers.ConjugateGradient
preProcessLine() - Method in class org.deeplearning4j.optimize.solvers.LBFGS
preProcessLine() - Method in class org.deeplearning4j.optimize.solvers.LineGradientDescent
preProcessLine() - Method in class org.deeplearning4j.optimize.solvers.StochasticGradientDescent
preProcessor - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
preProcessor - Variable in class org.deeplearning4j.datasets.iterator.BaseDatasetIterator
preProcessor - Variable in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
preprocessor - Variable in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
preProcessor - Variable in class org.deeplearning4j.text.sentenceiterator.BaseSentenceIterator
PreprocessorVertex - Class in org.deeplearning4j.nn.conf.graph: PreprocessorVertex is a simple adaptor class that allows a InputPreProcessor to be used in a ComputationGraph GraphVertex, without it being associated with a layer.
PreprocessorVertex(InputPreProcessor) - Constructor for class org.deeplearning4j.nn.conf.graph.PreprocessorVertex
PreprocessorVertex - Class in org.deeplearning4j.nn.graph.vertex.impl: PreprocessorVertex is a simple adaptor class that allows a InputPreProcessor to be used in a ComputationGraph GraphVertex, without it being associated with a layer.
PreprocessorVertex(ComputationGraph, String, int, InputPreProcessor) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.PreprocessorVertex
PreprocessorVertex(ComputationGraph, String, int, VertexIndices[], VertexIndices[], InputPreProcessor) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.PreprocessorVertex
presetTables() - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder: Deprecated.
presetTables() - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder: This method creates new WeightLookupTable and VocabCache if there were none set
pretrain(SequenceIterator<T>) - Method in interface org.deeplearning4j.models.embeddings.learning.ElementsLearningAlgorithm
pretrain(SequenceIterator<T>) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW: CBOW doesn't involve any pretraining
pretrain(SequenceIterator<T>) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe: pretrain is used to build CoOccurrence matrix for GloVe algorithm
pretrain(SequenceIterator<T>) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram: SkipGram doesn't involves any pretraining
pretrain(SequenceIterator<T>) - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW: DBOW doesn't involves any pretraining
pretrain(SequenceIterator<T>) - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
pretrain(SequenceIterator<T>) - Method in interface org.deeplearning4j.models.embeddings.learning.SequenceLearningAlgorithm
pretrain - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
pretrain(boolean) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder: Whether to do layerwise pre training or not
pretrain - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
pretrain - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
pretrain(boolean) - Method in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder: Whether to do pre train or not
pretrain - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration
pretrain - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
pretrain(boolean) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.ListBuilder
pretrain - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
pretrain(DataSetIterator) - Method in class org.deeplearning4j.nn.graph.ComputationGraph: Pretrain network with a single input and single output.
pretrain(MultiDataSetIterator) - Method in class org.deeplearning4j.nn.graph.ComputationGraph: Pretrain network with multiple inputs and/or outputs
pretrain(DataSetIterator) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork: Perform layerwise pretraining on all pre-trainable layers in the network (VAEs, RBMs, Autoencoders, etc)
Note that pretraining will be performed on one layer after the other, resetting the DataSetIterator between iterations.
For multiple epochs per layer, appropriately wrap the iterator (for example, a MultipleEpochsIterator) or train each layer manually using MultiLayerNetwork.pretrainLayer(int, DataSetIterator)
pretrain(INDArray) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork: Deprecated.
use MultiLayerNetwork.pretrain(DataSetIterator) or MultiLayerNetwork.pretrainLayer(int, DataSetIterator) or MultiLayerNetwork.pretrainLayer(int, INDArray). Pretraining each layer in a row on a single minibatch (as per this method) instead of N epochs per layer is not advisable.
pretrain - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
pretrain(SequenceIterator<ShallowSequenceElement>) - Method in class org.deeplearning4j.spark.models.sequencevectors.learning.elements.BaseSparkLearningAlgorithm
pretrain(SequenceIterator<ShallowSequenceElement>) - Method in class org.deeplearning4j.spark.models.sequencevectors.learning.sequence.BaseSparkSequenceLearningAlgorithm
preTrainIterations - Variable in class org.deeplearning4j.nn.conf.layers.BasePretrainNetwork.Builder
preTrainIterations(int) - Method in class org.deeplearning4j.nn.conf.layers.BasePretrainNetwork.Builder
pretrainLayer(String, DataSetIterator) - Method in class org.deeplearning4j.nn.graph.ComputationGraph: Pretrain a specified layer with the given DataSetIterator
pretrainLayer(String, MultiDataSetIterator) - Method in class org.deeplearning4j.nn.graph.ComputationGraph: Pretrain a specified layer with the given MultiDataSetIterator
pretrainLayer(int, DataSetIterator) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork: Perform layerwise unsupervised training on a single pre-trainable layer in the network (VAEs, RBMs, Autoencoders, etc)
If the specified layer index (0 to numLayers - 1) is not a pretrainable layer, this is a no-op.
pretrainLayer(int, INDArray) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork: Perform layerwise unsupervised training on a single pre-trainable layer in the network (VAEs, RBMs, Autoencoders, etc)
If the specified layer index (0 to numLayers - 1) is not a pretrainable layer, this is a no-op.
PretrainParamInitializer - Class in org.deeplearning4j.nn.params: Pretrain weight initializer.
PretrainParamInitializer() - Constructor for class org.deeplearning4j.nn.params.PretrainParamInitializer
preUpdate(DataSet, Model) - Method in interface org.deeplearning4j.spark.api.TrainingHook: A hook method for pre update.
preUpdate(MultiDataSet, Model) - Method in interface org.deeplearning4j.spark.api.TrainingHook: A hook method for pre update.
preUpdate(DataSet, Model) - Method in class org.deeplearning4j.spark.parameterserver.ParameterServerTrainingHook: A hook method for pre update.
preUpdate(MultiDataSet, Model) - Method in class org.deeplearning4j.spark.parameterserver.ParameterServerTrainingHook: A hook method for pre update.
prev() - Method in class org.deeplearning4j.datasets.mnist.MnistDbFile: Move to the previous entry.
prevImage() - Method in class org.deeplearning4j.datasets.mnist.MnistImageFile: Move the cursor to the previous image.
previous() - Method in class org.deeplearning4j.models.glove.count.RoundCount
PRINT_INDENT - Static variable in interface org.deeplearning4j.spark.api.stats.SparkTrainingStats: Default indentation for SparkTrainingStats.statsAsString()
PRINT_RESULTS - Static variable in class org.deeplearning4j.gradientcheck.GradientCheckTestsComputationGraph
printConfiguration() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork: Prints the configuration
PrintDataSet - Class in org.deeplearning4j.streaming.pipeline.spark: Created by agibsonccc on 6/11/16.
PrintDataSet() - Constructor for class org.deeplearning4j.streaming.pipeline.spark.PrintDataSet
printFeatures(String[][]) - Method in class com.atilika.kuromoji.compile.UnknownDictionaryCompiler
println(String) - Static method in class com.atilika.kuromoji.compile.ProgressLog
printOutProjectedMemoryUse(long, int, int) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
printStringOneCharPerLine(String) - Static method in class org.deeplearning4j.berkeley.StringUtils
printSummary() - Method in class org.deeplearning4j.nn.graph.TestComputationGraphNetwork
printThreadInfo(PrintWriter, String) - Static method in class org.deeplearning4j.util.ReflectionUtils: Print all of the thread's information and stack traces.
printToFile(File, String, boolean) - Static method in class org.deeplearning4j.berkeley.StringUtils: Prints to a file.
printToFile(File, String) - Static method in class org.deeplearning4j.berkeley.StringUtils: Prints to a file.
printToFile(String, String, boolean) - Static method in class org.deeplearning4j.berkeley.StringUtils: Prints to a file.
printToFile(String, String) - Static method in class org.deeplearning4j.berkeley.StringUtils: Prints to a file.
PriorityQueue<E> - Class in org.deeplearning4j.berkeley: A priority queue based on a binary heap.
PriorityQueue() - Constructor for class org.deeplearning4j.berkeley.PriorityQueue
PriorityQueue(int) - Constructor for class org.deeplearning4j.berkeley.PriorityQueue
PriorityQueueInterface<E> - Interface in org.deeplearning4j.berkeley
probRound(double, Random) - Static method in class org.deeplearning4j.util.MathUtils: Rounds a double to the next nearest integer value in a probabilistic fashion (e.g.
probToLogOdds(double) - Static method in class org.deeplearning4j.util.MathUtils: Returns the log-odds for a given probability.
process(CAS) - Method in class org.deeplearning4j.text.annotator.PoStagger: Performs pos-tagging on the given tcas object.
process(JCas) - Method in class org.deeplearning4j.text.annotator.SentenceAnnotator
process(JCas) - Method in class org.deeplearning4j.text.annotator.StemmerAnnotator
process(CAS) - Method in class org.deeplearning4j.text.tokenization.tokenizer.ConcurrentTokenizer
process(String) - Method in class org.deeplearning4j.text.uima.UimaResource: Use the given analysis engine and process the given text You must release the return cas yourself
processEvent(ListenerEvent, SequenceVectors<T>, long) - Method in interface org.deeplearning4j.models.sequencevectors.interfaces.VectorsListener: This method is called at each epoch end
processEvent(ListenerEvent, SequenceVectors<T>, long) - Method in class org.deeplearning4j.models.sequencevectors.listeners.ScoreListener: Deprecated.
processEvent(ListenerEvent, SequenceVectors<T>, long) - Method in class org.deeplearning4j.models.sequencevectors.listeners.SerializingListener: This method is called at each epoch end
processEvent(ListenerEvent, SequenceVectors<T>, long) - Method in class org.deeplearning4j.models.sequencevectors.listeners.SimilarityListener
processing - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.ParallelTransformerIterator
processLine(String) - Method in interface org.deeplearning4j.graph.data.EdgeLineProcessor: Process a line of text into an edge.
processLine(String) - Method in class org.deeplearning4j.graph.data.impl.DelimitedEdgeLineProcessor
processLine(String) - Method in class org.deeplearning4j.graph.data.impl.WeightedEdgeLineProcessor
processMinibatch(DataSet, MultiLayerNetwork, boolean) - Method in interface org.deeplearning4j.spark.api.TrainingWorker: Process (fit) a minibatch for a MultiLayerNetwork
processMinibatch(DataSet, ComputationGraph, boolean) - Method in interface org.deeplearning4j.spark.api.TrainingWorker: Process (fit) a minibatch for a ComputationGraph
processMinibatch(MultiDataSet, ComputationGraph, boolean) - Method in interface org.deeplearning4j.spark.api.TrainingWorker: Process (fit) a minibatch for a ComputationGraph using a MultiDataSet
processMinibatch(DataSet, MultiLayerNetwork, boolean) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingWorker
processMinibatch(DataSet, ComputationGraph, boolean) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingWorker
processMinibatch(MultiDataSet, ComputationGraph, boolean) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingWorker
processMinibatchWithStats(DataSet, MultiLayerNetwork, boolean) - Method in interface org.deeplearning4j.spark.api.TrainingWorker: As per TrainingWorker.processMinibatch(DataSet, MultiLayerNetwork, boolean) but used when SparkTrainingStats are being collecte
processMinibatchWithStats(DataSet, ComputationGraph, boolean) - Method in interface org.deeplearning4j.spark.api.TrainingWorker: As per TrainingWorker.processMinibatch(DataSet, ComputationGraph, boolean) but used when SparkTrainingStats are being collected
processMinibatchWithStats(MultiDataSet, ComputationGraph, boolean) - Method in interface org.deeplearning4j.spark.api.TrainingWorker: As per TrainingWorker.processMinibatch(MultiDataSet, ComputationGraph, boolean) but used when SparkTrainingStats are being collected
processMinibatchWithStats(DataSet, MultiLayerNetwork, boolean) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingWorker
processMinibatchWithStats(DataSet, ComputationGraph, boolean) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingWorker
processMinibatchWithStats(MultiDataSet, ComputationGraph, boolean) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingWorker
processor(Processor) - Method in class org.deeplearning4j.streaming.routes.CamelKafkaRouteBuilder.Builder
productArity() - Method in class org.deeplearning4j.streaming.embedded.StringOption
productElement(int) - Method in class org.deeplearning4j.streaming.embedded.StringOption
ProgressLog - Class in com.atilika.kuromoji.compile: Simple progress logger
ProgressLog() - Constructor for class com.atilika.kuromoji.compile.ProgressLog
promptPassphrase(String) - Method in class org.deeplearning4j.aws.ec2.provision.HostProvisioner
promptPassword(String) - Method in class org.deeplearning4j.aws.ec2.provision.HostProvisioner
promptYesNo(String) - Method in class org.deeplearning4j.aws.ec2.provision.HostProvisioner
PRONUNCIATION - Static variable in class com.atilika.kuromoji.ipadic.compile.DictionaryEntry
propDown(INDArray) - Method in class org.deeplearning4j.nn.layers.feedforward.rbm.RBM: Calculates the activation of the hidden: activation(h * W + vbias)
propUp(INDArray) - Method in class org.deeplearning4j.nn.layers.feedforward.rbm.RBM: Calculates the activation of the visible : sigmoid(v * W + hbias)
propUp(INDArray, boolean) - Method in class org.deeplearning4j.nn.layers.feedforward.rbm.RBM: Calculates the activation of the visible : sigmoid(v * W + hbias)
propUpDerivative(INDArray) - Method in class org.deeplearning4j.nn.layers.feedforward.rbm.RBM
pruneKeysBelowThreshold(double) - Method in class org.deeplearning4j.berkeley.Counter
publish(INDArray[]) - Method in class org.deeplearning4j.streaming.kafka.NDArrayPublisher: Publish an ndarray
publish(INDArray) - Method in class org.deeplearning4j.streaming.kafka.NDArrayPublisher: Publish an ndarray
put(String, V) - Method in class com.atilika.kuromoji.trie.PatriciaTrie: Puts value into trie identifiable by key into this trie (key should be non-null)
put(E, double, boolean) - Method in class org.deeplearning4j.berkeley.Counter: Set the count for the given key if it is larger than the previous one;
put(E, double) - Method in class org.deeplearning4j.berkeley.PriorityQueue
put(E, double) - Method in interface org.deeplearning4j.berkeley.PriorityQueueInterface: Adds a key to the queue with the given priority.
put(DataSet) - Method in class org.deeplearning4j.parallelism.MagicQueue
put(Pair<K, T>, V) - Method in class org.deeplearning4j.util.MultiDimensionalMap: Associates the specified value with the specified key in this map (optional operation).
put(K, T, V) - Method in class org.deeplearning4j.util.MultiDimensionalMap
putAll(Map<? extends String, ? extends V>) - Method in class com.atilika.kuromoji.trie.PatriciaTrie: Inserts all key and value entries in a map into this trie
putAll(Map<? extends Pair<K, T>, ? extends V>) - Method in class org.deeplearning4j.util.MultiDimensionalMap: Copies all of the mappings from the specified map to this map (optional operation).
putCode(int, INDArray) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
putCode(int, INDArray) - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable
putCost(short, short, short) - Method in class com.atilika.kuromoji.compile.ConnectionCostsCompiler
putDataSetMetaDataClassName(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
putDataSetMetaDataClassName(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
putDeviceDescription(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.HwDeviceInfoGroupEncoder
putDeviceDescription(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.HwDeviceInfoGroupEncoder
putEntries(List<BufferEntry>) - Method in class com.atilika.kuromoji.compile.TokenInfoBufferCompiler
putEnvKey(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.SwEnvironmentInfoEncoder
putEnvKey(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.SwEnvironmentInfoEncoder
putEnvValue(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.SwEnvironmentInfoEncoder
putEnvValue(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.SwEnvironmentInfoEncoder
putGcName(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
putGcName(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
putHwHardwareUID(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
putHwHardwareUID(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
putInitTypeClass(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
putInitTypeClass(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
putLayerName(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.LayerNamesEncoder
putLayerName(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.LayerNamesEncoder
putMap(TreeMap<Integer, String>) - Method in class com.atilika.kuromoji.buffer.StringValueMapBuffer
putModelConfigClassName(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
putModelConfigClassName(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
putModelConfigJson(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
putModelConfigJson(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
putModelParamNames(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.ModelParamNamesEncoder
putModelParamNames(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.ModelParamNamesEncoder
putParamName(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.ParamNamesEncoder
putParamName(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.ParamNamesEncoder
putSessionID(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
putSessionID(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
putSessionID(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
putSessionID(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
putSessionID(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
putSessionID(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
putStaticInfo(Persistable) - Method in class org.deeplearning4j.api.storage.impl.CollectionStatsStorageRouter
putStaticInfo(Collection<? extends Persistable>) - Method in class org.deeplearning4j.api.storage.impl.CollectionStatsStorageRouter
putStaticInfo(Persistable) - Method in class org.deeplearning4j.api.storage.impl.RemoteUIStatsStorageRouter
putStaticInfo(Collection<? extends Persistable>) - Method in class org.deeplearning4j.api.storage.impl.RemoteUIStatsStorageRouter
putStaticInfo(Persistable) - Method in interface org.deeplearning4j.api.storage.StatsStorageRouter: Static info: reported once per session, upon initialization
putStaticInfo(Collection<? extends Persistable>) - Method in interface org.deeplearning4j.api.storage.StatsStorageRouter: Static info: reported once per session, upon initialization
putStaticInfo(Persistable) - Method in class org.deeplearning4j.spark.impl.listeners.VanillaStatsStorageRouter
putStaticInfo(Collection<? extends Persistable>) - Method in class org.deeplearning4j.spark.impl.listeners.VanillaStatsStorageRouter
putStaticInfo(Persistable) - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
putStaticInfo(Collection<? extends Persistable>) - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
putStaticInfo(Persistable) - Method in class org.deeplearning4j.ui.storage.InMemoryStatsStorage
putStaticInfo(Persistable) - Method in class org.deeplearning4j.ui.storage.mapdb.MapDBStatsStorage
putStaticInfo(Persistable) - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
putStaticInfo(Collection<? extends Persistable>) - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
putStorageMetaData(StorageMetaData) - Method in class org.deeplearning4j.api.storage.impl.CollectionStatsStorageRouter
putStorageMetaData(Collection<? extends StorageMetaData>) - Method in class org.deeplearning4j.api.storage.impl.CollectionStatsStorageRouter
putStorageMetaData(StorageMetaData) - Method in class org.deeplearning4j.api.storage.impl.RemoteUIStatsStorageRouter
putStorageMetaData(Collection<? extends StorageMetaData>) - Method in class org.deeplearning4j.api.storage.impl.RemoteUIStatsStorageRouter
putStorageMetaData(StorageMetaData) - Method in interface org.deeplearning4j.api.storage.StatsStorageRouter: Method to store some additional metadata for each session.
putStorageMetaData(Collection<? extends StorageMetaData>) - Method in interface org.deeplearning4j.api.storage.StatsStorageRouter
putStorageMetaData(StorageMetaData) - Method in class org.deeplearning4j.spark.impl.listeners.VanillaStatsStorageRouter
putStorageMetaData(Collection<? extends StorageMetaData>) - Method in class org.deeplearning4j.spark.impl.listeners.VanillaStatsStorageRouter
putStorageMetaData(StorageMetaData) - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
putStorageMetaData(Collection<? extends StorageMetaData>) - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
putStorageMetaData(StorageMetaData) - Method in class org.deeplearning4j.ui.storage.InMemoryStatsStorage
putStorageMetaData(StorageMetaData) - Method in class org.deeplearning4j.ui.storage.mapdb.MapDBStatsStorage
putStorageMetaData(StorageMetaData) - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
putStorageMetaData(Collection<? extends StorageMetaData>) - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
putSwArch(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
putSwArch(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
putSwHostName(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
putSwHostName(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
putSwJvmName(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
putSwJvmName(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
putSwJvmSpecVersion(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
putSwJvmSpecVersion(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
putSwJvmUID(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
putSwJvmUID(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
putSwJvmVersion(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
putSwJvmVersion(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
putSwNd4jBackendClass(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
putSwNd4jBackendClass(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
putSwNd4jDataTypeName(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
putSwNd4jDataTypeName(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
putSwOsName(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
putSwOsName(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
putTypeID(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
putTypeID(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
putTypeID(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
putTypeID(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
putTypeID(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
putTypeID(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
putUpdate(Persistable) - Method in class org.deeplearning4j.api.storage.impl.CollectionStatsStorageRouter
putUpdate(Collection<? extends Persistable>) - Method in class org.deeplearning4j.api.storage.impl.CollectionStatsStorageRouter
putUpdate(Persistable) - Method in class org.deeplearning4j.api.storage.impl.RemoteUIStatsStorageRouter
putUpdate(Collection<? extends Persistable>) - Method in class org.deeplearning4j.api.storage.impl.RemoteUIStatsStorageRouter
putUpdate(Persistable) - Method in interface org.deeplearning4j.api.storage.StatsStorageRouter: Updates: stored multiple times per session (periodically, for example)
putUpdate(Collection<? extends Persistable>) - Method in interface org.deeplearning4j.api.storage.StatsStorageRouter: Updates: stored multiple times per session (periodically, for example)
putUpdate(Persistable) - Method in class org.deeplearning4j.spark.impl.listeners.VanillaStatsStorageRouter
putUpdate(Collection<? extends Persistable>) - Method in class org.deeplearning4j.spark.impl.listeners.VanillaStatsStorageRouter
putUpdate(Persistable) - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
putUpdate(Collection<? extends Persistable>) - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
putUpdate(Persistable) - Method in class org.deeplearning4j.ui.storage.InMemoryStatsStorage
putUpdate(Persistable) - Method in class org.deeplearning4j.ui.storage.mapdb.MapDBStatsStorage
putUpdate(Persistable) - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
putUpdate(Collection<? extends Persistable>) - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
putUpdateTypeClass(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
putUpdateTypeClass(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
putVector(String, INDArray) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable: Inserts a word vector
putVector(String, INDArray) - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable: Inserts a word vector
putVocabWord(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache: Deprecated.
putVocabWord(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.
putVocabWord(String) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache: Deprecated.
putWorkerID(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
putWorkerID(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
putWorkerID(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
putWorkerID(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
putWorkerID(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
putWorkerID(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
PXZ_B - Static variable in class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer: Key for bias parameters connecting the last decoder layer and p(data|z) (according to whatever ReconstructionDistribution is set for the VAE)
PXZ_PREFIX - Static variable in class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer
PXZ_W - Static variable in class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer: Key for weight parameters connecting the last decoder layer and p(data|z) (according to whatever ReconstructionDistribution is set for the VAE)
PZX_LOGSTD2_B - Static variable in class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer: Key for bias parameters for log(sigma^2) in p(z|data)
PZX_LOGSTD2_PREFIX - Static variable in class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer
PZX_LOGSTD2_W - Static variable in class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer: Key for weight parameters connecting the last encoder layer and the log(sigma^2) values for p(z|data)
PZX_MEAN_B - Static variable in class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer: Key for bias parameters for the mean values for p(z|data)
PZX_MEAN_PREFIX - Static variable in class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer
PZX_MEAN_W - Static variable in class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer: Key for weight parameters connecting the last encoder layer and the mean values for p(z|data)
PZX_PREFIX - Static variable in class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer
pzxActivationFn(IActivation) - Method in class org.deeplearning4j.nn.conf.layers.variational.VariationalAutoencoder.Builder: Activation function for the input to P(z|data).
Care should be taken with this, as some activation functions (relu, etc) are not suitable due to being bounded in range [0,infinity).
pzxActivationFn - Variable in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
pzxActivationFunction(String) - Method in class org.deeplearning4j.nn.conf.layers.variational.VariationalAutoencoder.Builder: Deprecated.
Use VariationalAutoencoder.Builder.pzxActivationFunction(Activation)
pzxActivationFunction(Activation) - Method in class org.deeplearning4j.nn.conf.layers.variational.VariationalAutoencoder.Builder: Activation function for the input to P(z|data).
Care should be taken with this, as some activation functions (relu, etc) are not suitable due to being bounded in range [0,infinity).

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