E-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

E

eachDoc(Function<List<T>, Void>, ExecutorService) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex: Iterate over each document
eachDocWithLabel(Function<Pair<List<T>, String>, Void>, ExecutorService) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex: Iterate over each document with a label
eachDocWithLabels(Function<Pair<List<T>, Collection<String>>, Void>, ExecutorService) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex: Iterate over each document with a label
EarlyStoppingConfiguration<T extends Model> - Class in org.deeplearning4j.earlystopping: Early stopping configuration: Specifies the various configuration options for running training with early stopping.
Users need to specify the following:
(a) EarlyStoppingModelSaver: How models will be saved (to disk, to memory, etc) (Default: in memory)
(b) Termination conditions: at least one termination condition must be specified
(i) Iteration termination conditions: calculated once for each minibatch.
EarlyStoppingConfiguration.Builder<T extends Model> - Class in org.deeplearning4j.earlystopping
EarlyStoppingGraphTrainer - Class in org.deeplearning4j.earlystopping.trainer: Class for conducting early stopping training locally (single machine).
Can be used to train a ComputationGraph
EarlyStoppingGraphTrainer(EarlyStoppingConfiguration<ComputationGraph>, ComputationGraph, DataSetIterator) - Constructor for class org.deeplearning4j.earlystopping.trainer.EarlyStoppingGraphTrainer
EarlyStoppingGraphTrainer(EarlyStoppingConfiguration<ComputationGraph>, ComputationGraph, DataSetIterator, EarlyStoppingListener<ComputationGraph>) - Constructor for class org.deeplearning4j.earlystopping.trainer.EarlyStoppingGraphTrainer: Constructor for training using a DataSetIterator
EarlyStoppingGraphTrainer(EarlyStoppingConfiguration<ComputationGraph>, ComputationGraph, MultiDataSetIterator, EarlyStoppingListener<ComputationGraph>) - Constructor for class org.deeplearning4j.earlystopping.trainer.EarlyStoppingGraphTrainer: Constructor for training using a MultiDataSetIterator
EarlyStoppingListener<T extends Model> - Interface in org.deeplearning4j.earlystopping.listener: EarlyStoppingListener is a listener interface for conducting early stopping training.
EarlyStoppingModelSaver<T extends Model> - Interface in org.deeplearning4j.earlystopping: Interface for saving MultiLayerNetworks learned during early stopping, and retrieving them again later
EarlyStoppingParallelTrainer<T extends Model> - Class in org.deeplearning4j.parallelism: Conduct parallel early stopping training with ParallelWrapper under the hood.
Can be used to train a MultiLayerNetwork or a ComputationGraph via early stopping.
EarlyStoppingParallelTrainer(EarlyStoppingConfiguration<T>, T, DataSetIterator, MultiDataSetIterator, int, int, int) - Constructor for class org.deeplearning4j.parallelism.EarlyStoppingParallelTrainer
EarlyStoppingParallelTrainer(EarlyStoppingConfiguration<T>, T, DataSetIterator, MultiDataSetIterator, EarlyStoppingListener<T>, int, int, int) - Constructor for class org.deeplearning4j.parallelism.EarlyStoppingParallelTrainer
EarlyStoppingParallelTrainer(EarlyStoppingConfiguration<T>, T, DataSetIterator, MultiDataSetIterator, EarlyStoppingListener<T>, int, int, int, boolean, boolean) - Constructor for class org.deeplearning4j.parallelism.EarlyStoppingParallelTrainer
EarlyStoppingResult<T extends Model> - Class in org.deeplearning4j.earlystopping: EarlyStoppingResult: contains the results of the early stopping training, such as: - Why the training was terminated - Score vs.
EarlyStoppingResult(EarlyStoppingResult.TerminationReason, String, Map<Integer, Double>, int, double, int, T) - Constructor for class org.deeplearning4j.earlystopping.EarlyStoppingResult
EarlyStoppingResult.TerminationReason - Enum in org.deeplearning4j.earlystopping
EarlyStoppingTrainer - Class in org.deeplearning4j.earlystopping.trainer: Class for conducting early stopping training locally (single machine), for training a MultiLayerNetwork.
EarlyStoppingTrainer(EarlyStoppingConfiguration<MultiLayerNetwork>, MultiLayerConfiguration, DataSetIterator) - Constructor for class org.deeplearning4j.earlystopping.trainer.EarlyStoppingTrainer
EarlyStoppingTrainer(EarlyStoppingConfiguration<MultiLayerNetwork>, MultiLayerNetwork, DataSetIterator) - Constructor for class org.deeplearning4j.earlystopping.trainer.EarlyStoppingTrainer
EarlyStoppingTrainer(EarlyStoppingConfiguration<MultiLayerNetwork>, MultiLayerNetwork, DataSetIterator, EarlyStoppingListener<MultiLayerNetwork>) - Constructor for class org.deeplearning4j.earlystopping.trainer.EarlyStoppingTrainer
Ec2BoxCreator - Class in org.deeplearning4j.aws.ec2: Creates Ec2Boxes
Ec2BoxCreator(int, String, String, String) - Constructor for class org.deeplearning4j.aws.ec2.Ec2BoxCreator
Ec2BoxCreator(String, int, String, String, String) - Constructor for class org.deeplearning4j.aws.ec2.Ec2BoxCreator
Edge<T> - Class in org.deeplearning4j.graph.api: Edge in a graph.
Edge(int, int, T, boolean) - Constructor for class org.deeplearning4j.graph.api.Edge
Edge<T extends java.lang.Number> - Class in org.deeplearning4j.models.sequencevectors.graph.primitives: Edge in a graph.
Edge(int, int, T, boolean) - Constructor for class org.deeplearning4j.models.sequencevectors.graph.primitives.Edge
EdgeLineProcessor<E> - Interface in org.deeplearning4j.graph.data: EdgeLineProcessor is used during data loading from a file, where each edge is on a separate line
Provides flexibility in loading graphs with arbitrary objects/properties that can be represented in a text format Can also be used handle conversion of edges between non-numeric vertices to an appropriate numbered format
editDistance(String, String) - Static method in class org.deeplearning4j.berkeley.StringUtils: Computes the Levenshtein (edit) distance of the two given Strings.
ela - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.CountFunction
ela - Variable in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors
element() - Method in class org.deeplearning4j.parallelism.MagicQueue
element() - Method in class org.deeplearning4j.util.DiskBasedQueue
elementAtIndex(int) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache: Returns SequenceElement at specified index
elementAtIndex(int) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.
elementAtIndex(int) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache: Returns SequenceElement at the given index or null
elementFrequency - Variable in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
elements - Variable in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
elementsFreqAccum - Variable in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors
elementsFreqAccumExtra - Variable in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors
ElementsFrequenciesAccumulator - Class in org.deeplearning4j.spark.models.sequencevectors.functions: Accumulator for elements count
ElementsFrequenciesAccumulator() - Constructor for class org.deeplearning4j.spark.models.sequencevectors.functions.ElementsFrequenciesAccumulator
ElementsLearningAlgorithm<T extends SequenceElement> - Interface in org.deeplearning4j.models.embeddings.learning: Implementations of this interface should contain element-related learning algorithms.
elementsLearningAlgorithm(String) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder: Deprecated.
elementsLearningAlgorithm(ElementsLearningAlgorithm<V>) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder: Deprecated.
elementsLearningAlgorithm(ElementsLearningAlgorithm<VocabWord>) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
elementsLearningAlgorithm(String) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
elementsLearningAlgorithm - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
elementsLearningAlgorithm(String) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder: * Sets specific LearningAlgorithm as Elements Learning Algorithm
elementsLearningAlgorithm(ElementsLearningAlgorithm<T>) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder: * Sets specific LearningAlgorithm as Elements Learning Algorithm
elementsLearningAlgorithm - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors
elementsLearningAlgorithm(String) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
elementsLearningAlgorithm(ElementsLearningAlgorithm<VocabWord>) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
elementsLearningAlgorithm - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.PartitionTrainingFunction
elementsLearningAlgorithm - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.TrainingFunction
elementsLearningAlgorithm - Variable in class org.deeplearning4j.spark.models.sequencevectors.learning.sequence.BaseSparkSequenceLearningAlgorithm
elementsMap - Variable in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
ElementWiseVertex - Class in org.deeplearning4j.nn.conf.graph: An ElementWiseVertex is used to combine the activations of two or more layer in an element-wise manner
For example, the activations may be combined by addition, subtraction or multiplication.
ElementWiseVertex(ElementWiseVertex.Op) - Constructor for class org.deeplearning4j.nn.conf.graph.ElementWiseVertex
ElementWiseVertex - Class in org.deeplearning4j.nn.graph.vertex.impl: An ElementWiseVertex is used to combine the activations of two or more layer in an element-wise manner
For example, the activations may be combined by addition, subtraction or multiplication.
ElementWiseVertex(ComputationGraph, String, int, ElementWiseVertex.Op) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.ElementWiseVertex
ElementWiseVertex(ComputationGraph, String, int, VertexIndices[], VertexIndices[], ElementWiseVertex.Op) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.ElementWiseVertex
ElementWiseVertex.Op - Enum in org.deeplearning4j.nn.conf.graph
ElementWiseVertex.Op - Enum in org.deeplearning4j.nn.graph.vertex.impl
EmbeddedKafkaCluster - Class in org.deeplearning4j.streaming.embedded
EmbeddedKafkaCluster(String) - Constructor for class org.deeplearning4j.streaming.embedded.EmbeddedKafkaCluster
EmbeddedKafkaCluster(String, Properties) - Constructor for class org.deeplearning4j.streaming.embedded.EmbeddedKafkaCluster
EmbeddedKafkaCluster(String, Properties, List<Integer>) - Constructor for class org.deeplearning4j.streaming.embedded.EmbeddedKafkaCluster
EmbeddedStemmingPreprocessor - Class in org.deeplearning4j.text.tokenization.tokenizer.preprocessor: This tokenizer preprocessor uses given preprocessor + does english Porter stemming on tokens on top of it
EmbeddedStemmingPreprocessor(TokenPreProcess) - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.preprocessor.EmbeddedStemmingPreprocessor
EmbeddedZookeeper - Class in org.deeplearning4j.streaming.embedded
EmbeddedZookeeper() - Constructor for class org.deeplearning4j.streaming.embedded.EmbeddedZookeeper
EmbeddedZookeeper(int) - Constructor for class org.deeplearning4j.streaming.embedded.EmbeddedZookeeper
EmbeddedZookeeper(int, int) - Constructor for class org.deeplearning4j.streaming.embedded.EmbeddedZookeeper
EmbeddingLayer - Class in org.deeplearning4j.nn.conf.layers: Embedding layer: feed-forward layer that expects single integers per example as input (class numbers, in range 0 to numClass-1) as input.
EmbeddingLayer - Class in org.deeplearning4j.nn.layers.feedforward.embedding: Embedding layer: feed-forward layer that expects single integers per example as input (class numbers, in range 0 to numClass-1) as input.
EmbeddingLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.feedforward.embedding.EmbeddingLayer
EmbeddingLayer.Builder - Class in org.deeplearning4j.nn.conf.layers
EmbeddingLayerTest - Class in org.deeplearning4j.nn.layers.feedforward.embedding
EmbeddingLayerTest() - Constructor for class org.deeplearning4j.nn.layers.feedforward.embedding.EmbeddingLayerTest
EMPTY_BYTES - Static variable in class org.deeplearning4j.ui.stats.impl.SbeUtil
emptyIterator() - Static method in class org.deeplearning4j.berkeley.Iterators
EmptyParamInitializer - Class in org.deeplearning4j.nn.params
EmptyParamInitializer() - Constructor for class org.deeplearning4j.nn.params.EmptyParamInitializer
emptyStringArray - Static variable in class org.deeplearning4j.util.StringUtils
enableHttps(boolean) - Method in class org.deeplearning4j.ui.UiConnectionInfo.Builder
enableRemoteListener() - Method in class org.deeplearning4j.ui.api.UIServer: Enable the remote listener functionality, storing all data in memory, and attaching the instance to the UI.
enableRemoteListener(StatsStorageRouter, boolean) - Method in class org.deeplearning4j.ui.api.UIServer: Enable the remote listener functionality, storing the received results in the specified StatsStorageRouter.
enableRemoteListener() - Method in class org.deeplearning4j.ui.play.PlayUIServer
enableRemoteListener(StatsStorageRouter, boolean) - Method in class org.deeplearning4j.ui.play.PlayUIServer
enableScavenger(boolean) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder: Deprecated.
enableScavenger(boolean) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder: This method ebables/disables periodical vocab truncation during construction Default value: disabled
enableScavenger - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
enableScavenger(boolean) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder: This method ebables/disables periodical vocab truncation during construction Default value: disabled
enableScavenger - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors
enableScavenger(boolean) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder: This method ebables/disables periodical vocab truncation during construction Default value: disabled
enableScavenger(boolean) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor.Builder
encode() - Method in interface org.deeplearning4j.api.storage.Persistable
encode(ByteBuffer) - Method in interface org.deeplearning4j.api.storage.Persistable: Encode this persistable in to a ByteBuffer
encode(OutputStream) - Method in interface org.deeplearning4j.api.storage.Persistable: Encode this persistable in to an output stream
encode(INDArray, boolean) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.AutoEncoder
encode() - Method in class org.deeplearning4j.ui.flow.data.FlowStaticPersistable
encode(ByteBuffer) - Method in class org.deeplearning4j.ui.flow.data.FlowStaticPersistable
encode(OutputStream) - Method in class org.deeplearning4j.ui.flow.data.FlowStaticPersistable
encode() - Method in class org.deeplearning4j.ui.flow.data.FlowUpdatePersistable
encode(ByteBuffer) - Method in class org.deeplearning4j.ui.flow.data.FlowUpdatePersistable
encode(OutputStream) - Method in class org.deeplearning4j.ui.flow.data.FlowUpdatePersistable
encode() - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsInitializationReport
encode(ByteBuffer) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsInitializationReport
encode(OutputStream) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsInitializationReport
encode() - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
encode(ByteBuffer) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
encode(OutputStream) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
encode() - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsInitializationReport
encode(ByteBuffer) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsInitializationReport
encode(MutableDirectBuffer) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsInitializationReport
encode(OutputStream) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsInitializationReport
encode() - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
encode(ByteBuffer) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
encode(MutableDirectBuffer) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
encode(OutputStream) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
encode(MutableDirectBuffer) - Method in interface org.deeplearning4j.ui.storage.AgronaPersistable
encode() - Method in class org.deeplearning4j.ui.storage.impl.JavaStorageMetaData
encode(ByteBuffer) - Method in class org.deeplearning4j.ui.storage.impl.JavaStorageMetaData
encode(OutputStream) - Method in class org.deeplearning4j.ui.storage.impl.JavaStorageMetaData
encode() - Method in class org.deeplearning4j.ui.storage.impl.SbeStorageMetaData
encode(ByteBuffer) - Method in class org.deeplearning4j.ui.storage.impl.SbeStorageMetaData
encode(MutableDirectBuffer) - Method in class org.deeplearning4j.ui.storage.impl.SbeStorageMetaData
encode(OutputStream) - Method in class org.deeplearning4j.ui.storage.impl.SbeStorageMetaData
encode() - Method in class org.deeplearning4j.ui.weights.ConvolutionListenerPersistable
encode(ByteBuffer) - Method in class org.deeplearning4j.ui.weights.ConvolutionListenerPersistable
encode(OutputStream) - Method in class org.deeplearning4j.ui.weights.ConvolutionListenerPersistable
encodeB64(String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
ENCODED_LENGTH - Static variable in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingDecoder
ENCODED_LENGTH - Static variable in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingEncoder
ENCODED_LENGTH - Static variable in class org.deeplearning4j.ui.stats.sbe.InitFieldsPresentDecoder
ENCODED_LENGTH - Static variable in class org.deeplearning4j.ui.stats.sbe.InitFieldsPresentEncoder
ENCODED_LENGTH - Static variable in class org.deeplearning4j.ui.stats.sbe.MessageHeaderDecoder
ENCODED_LENGTH - Static variable in class org.deeplearning4j.ui.stats.sbe.MessageHeaderEncoder
ENCODED_LENGTH - Static variable in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
ENCODED_LENGTH - Static variable in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
ENCODED_LENGTH - Static variable in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Decoder
ENCODED_LENGTH - Static variable in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Encoder
encodedLength() - Method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingDecoder
encodedLength() - Method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingEncoder
encodedLength() - Method in class org.deeplearning4j.ui.stats.sbe.InitFieldsPresentDecoder
encodedLength() - Method in class org.deeplearning4j.ui.stats.sbe.InitFieldsPresentEncoder
encodedLength() - Method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderDecoder
encodedLength() - Method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderEncoder
encodedLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
encodedLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
encodedLength() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
encodedLength() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
encodedLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
encodedLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
encodedLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
encodedLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
encodedLength() - Method in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Decoder
encodedLength() - Method in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Encoder
encoderLayerSizes(int...) - Method in class org.deeplearning4j.nn.conf.layers.variational.VariationalAutoencoder.Builder: Size of the encoder layers, in units.
encoderLayerSizes - Variable in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
encodingLengthBytes() - Method in interface org.deeplearning4j.api.storage.Persistable: Length of the encoding, in bytes, when using Persistable.encode() Length may be different using Persistable.encode(OutputStream), due to things like stream headers
encodingLengthBytes() - Method in class org.deeplearning4j.ui.flow.data.FlowStaticPersistable
encodingLengthBytes() - Method in class org.deeplearning4j.ui.flow.data.FlowUpdatePersistable
encodingLengthBytes() - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsInitializationReport
encodingLengthBytes() - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
encodingLengthBytes() - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsInitializationReport
encodingLengthBytes() - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
encodingLengthBytes() - Method in class org.deeplearning4j.ui.storage.impl.JavaStorageMetaData
encodingLengthBytes() - Method in class org.deeplearning4j.ui.storage.impl.SbeStorageMetaData
encodingLengthBytes() - Method in class org.deeplearning4j.ui.weights.ConvolutionListenerPersistable
end() - Static method in class com.atilika.kuromoji.compile.ProgressLog
EndingPreProcessor - Class in org.deeplearning4j.text.tokenization.tokenizer.preprocessor: Gets rid of endings: ed,ing, ly, s, .
EndingPreProcessor() - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.preprocessor.EndingPreProcessor
EndingPreProcessorTest - Class in org.deeplearning4j.text.tokenization.tokenizer.tokenprepreprocessor: Created by agibsonccc on 10/18/14.
EndingPreProcessorTest() - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.tokenprepreprocessor.EndingPreProcessorTest
endsWith(String) - Static method in class org.deeplearning4j.keras.StringsEndsWithPredicate
endWhenDistributionVariationRateLessThan(double) - Method in class org.deeplearning4j.clustering.algorithm.strategy.BaseClusteringStrategy
endWhenDistributionVariationRateLessThan(double) - Method in interface org.deeplearning4j.clustering.algorithm.strategy.ClusteringStrategy
endWhenIterationCountEquals(int) - Method in class org.deeplearning4j.clustering.algorithm.strategy.BaseClusteringStrategy
endWhenIterationCountEquals(int) - Method in interface org.deeplearning4j.clustering.algorithm.strategy.ClusteringStrategy
enforceTrainingConfig - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasModel
enlarge(double) - Method in class org.deeplearning4j.clustering.kdtree.HyperRect.Interval
enlargeTo(INDArray) - Method in class org.deeplearning4j.clustering.kdtree.HyperRect
ensureCounter(K) - Method in class org.deeplearning4j.berkeley.CounterMap
entries - Variable in class com.atilika.kuromoji.trie.PatriciaTrie: Number of entries in the trie
entropy(double[]) - Static method in class org.deeplearning4j.util.MathUtils: This returns the entropy (information gain, or uncertainty of a random variable).
Entry(K, T, V) - Constructor for class org.deeplearning4j.util.MultiDimensionalMap.Entry
EntryPointFitParameters - Class in org.deeplearning4j.keras: POJO with parameters of the `fit` method of available through the py4j Python-Java bridge
EntryPointFitParameters() - Constructor for class org.deeplearning4j.keras.EntryPointFitParameters
entrySet() - Method in class com.atilika.kuromoji.trie.PatriciaTrie: Returns a copy of the mappings contained in this trie as a Set
entrySet() - Method in class org.deeplearning4j.berkeley.Counter
entrySet() - Method in class org.deeplearning4j.util.MultiDimensionalMap: Returns a Set view of the mappings contained in this map.
EnumUtil - Class in org.deeplearning4j.util: Created by agibsonccc on 9/3/14.
EnumUtilTest - Class in org.deeplearning4j.util: Created by agibsonccc on 9/3/14.
EnumUtilTest() - Constructor for class org.deeplearning4j.util.EnumUtilTest
envKey() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
envKey(String) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.SwEnvironmentInfoEncoder
envKeyCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
envKeyCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.SwEnvironmentInfoEncoder
envKeyHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
envKeyHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.SwEnvironmentInfoEncoder
envKeyId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
envKeyId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.SwEnvironmentInfoEncoder
envKeyLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
envKeyMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
envKeyMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.SwEnvironmentInfoEncoder
envValue() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
envValue(String) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.SwEnvironmentInfoEncoder
envValueCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
envValueCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.SwEnvironmentInfoEncoder
envValueHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
envValueHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.SwEnvironmentInfoEncoder
envValueId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
envValueId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.SwEnvironmentInfoEncoder
envValueLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
envValueMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
envValueMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.SwEnvironmentInfoEncoder
epochs - Variable in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
epochs(int) - Method in class org.deeplearning4j.models.glove.Glove.Builder: Sets the number of iteration over training corpus during training
epochs(int) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder: Deprecated.
epochs(int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder: This method defines number of epochs (iterations over whole training corpus) for training
epochs(int) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder: This method defines how much iterations should be done over whole training corpus during modelling
epochs(int) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder: This method defines number of epochs (iterations over whole training corpus) for training
epochs(int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder: This method specifies number of epochs done over whole corpus PLEASE NOTE: NOT IMPLEMENTED
epochs(int) - Method in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder
epochs(int) - Method in class org.deeplearning4j.spark.models.word2vec.SparkWord2Vec.Builder
EpochTerminationCondition - Interface in org.deeplearning4j.earlystopping.termination: Interface for termination conditions to be evaluated once per epoch (i.e., once per pass of the full data set), based on a score and epoch number
epochTerminationConditions(EpochTerminationCondition...) - Method in class org.deeplearning4j.earlystopping.EarlyStoppingConfiguration.Builder: Termination conditions to be evaluated every N epochs, with N set by evaluateEveryNEpochs option
epochTerminationConditions(List<EpochTerminationCondition>) - Method in class org.deeplearning4j.earlystopping.EarlyStoppingConfiguration.Builder: Termination conditions to be evaluated every N epochs, with N set by evaluateEveryNEpochs option
eps - Variable in class org.deeplearning4j.nn.conf.graph.L2NormalizeVertex
eps - Variable in class org.deeplearning4j.nn.conf.graph.L2Vertex
eps - Variable in class org.deeplearning4j.nn.conf.layers.BatchNormalization.Builder
eps(double) - Method in class org.deeplearning4j.nn.conf.layers.BatchNormalization.Builder: Epsilon value for batch normalization; small floating point value added to variance (algorithm 1 in http://arxiv.org/pdf/1502.03167v3.pdf) to reduce/avoid underflow issues.
Default: 1e-5
eps - Variable in class org.deeplearning4j.nn.conf.layers.BatchNormalization
eps - Variable in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder
eps(double) - Method in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder
eps - Variable in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer
EPS - Static variable in class org.deeplearning4j.nn.modelimport.keras.KerasModelEndToEndTest
epsilon - Static variable in class org.deeplearning4j.graph.models.deepwalk.DeepWalkGradientCheck
epsilon(double) - Method in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.Builder: Epsilon value for updaters: Adagrad and Adadelta.
epsilon - Variable in class org.deeplearning4j.nn.conf.layers.Layer.Builder
epsilon(double) - Method in class org.deeplearning4j.nn.conf.layers.Layer.Builder: Epsilon value for updaters: Adagrad and Adadelta.
epsilon - Variable in class org.deeplearning4j.nn.conf.layers.Layer
epsilon - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
epsilon(double) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder: Epsilon value for updaters: Adam, RMSProp, Adagrad, Adadelta Default values: Adam.DEFAULT_ADAM_EPSILON, RmsProp.DEFAULT_RMSPROP_EPSILON, AdaGrad.DEFAULT_ADAGRAD_EPSILON, AdaDelta.DEFAULT_ADADELTA_EPSILON
epsilon - Variable in class org.deeplearning4j.nn.graph.vertex.BaseGraphVertex
EPSILON - Static variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayerTest
epsilon - Variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
epsilon() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
epsilon - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
epsilon - Variable in class org.deeplearning4j.nn.updater.TestUpdaters
EpsTermination - Class in org.deeplearning4j.optimize.terminations: Epsilon termination (absolute change based on tolerance)
EpsTermination(double, double) - Constructor for class org.deeplearning4j.optimize.terminations.EpsTermination
EpsTermination() - Constructor for class org.deeplearning4j.optimize.terminations.EpsTermination
equals(Object) - Method in class org.deeplearning4j.berkeley.Counter
equals(Object) - Method in class org.deeplearning4j.berkeley.Pair
equals(Object) - Method in class org.deeplearning4j.berkeley.Triple
equals(Object) - Method in class org.deeplearning4j.clustering.quadtree.Cell
equals(Object) - Method in class org.deeplearning4j.clustering.sptree.DataPoint
equals(Object) - Method in class org.deeplearning4j.clustering.sptree.HeapItem
equals(Object) - Method in class org.deeplearning4j.clustering.vptree.VPTree.Node
equals(Object) - Method in class org.deeplearning4j.eval.ConfusionMatrix
equals(Object) - Method in class org.deeplearning4j.graph.api.Edge
equals(Object) - Method in class org.deeplearning4j.graph.api.Vertex
equals(Object) - Method in class org.deeplearning4j.graph.graph.Graph
equals(Object) - Method in class org.deeplearning4j.models.glove.count.CoOccurrenceWeight
equals(Object) - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Edge
equals(Object) - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
equals(Object) - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Vertex
equals(Object) - Method in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
equals(Object) - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement: Equals method override should be properly implemented for any extended class, otherwise it will be based on label equality
equals(Object) - Method in class org.deeplearning4j.models.word2vec.VocabWord
equals(Object) - Method in class org.deeplearning4j.models.word2vec.VocabWork
equals(Object) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.
equals(Object) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyWord
equals(Object) - Method in class org.deeplearning4j.nn.conf.distribution.BinomialDistribution
equals(Object) - Method in class org.deeplearning4j.nn.conf.distribution.NormalDistribution
equals(Object) - Method in class org.deeplearning4j.nn.conf.distribution.UniformDistribution
equals(Object) - Method in class org.deeplearning4j.nn.conf.graph.ElementWiseVertex
equals(Object) - Method in class org.deeplearning4j.nn.conf.graph.GraphVertex
equals(Object) - Method in class org.deeplearning4j.nn.conf.graph.L2NormalizeVertex
equals(Object) - Method in class org.deeplearning4j.nn.conf.graph.L2Vertex
equals(Object) - Method in class org.deeplearning4j.nn.conf.graph.LayerVertex
equals(Object) - Method in class org.deeplearning4j.nn.conf.graph.MergeVertex
equals(Object) - Method in class org.deeplearning4j.nn.conf.graph.PreprocessorVertex
equals(Object) - Method in class org.deeplearning4j.nn.conf.graph.rnn.DuplicateToTimeSeriesVertex
equals(Object) - Method in class org.deeplearning4j.nn.conf.graph.rnn.LastTimeStepVertex
equals(Object) - Method in class org.deeplearning4j.nn.conf.graph.ScaleVertex
equals(Object) - Method in class org.deeplearning4j.nn.conf.graph.StackVertex
equals(Object) - Method in class org.deeplearning4j.nn.conf.graph.SubsetVertex
equals(Object) - Method in class org.deeplearning4j.nn.conf.graph.UnstackVertex
equals(Object) - Method in class org.deeplearning4j.nn.conf.stepfunctions.DefaultStepFunction
equals(Object) - Method in class org.deeplearning4j.nn.conf.stepfunctions.GradientStepFunction
equals(Object) - Method in class org.deeplearning4j.nn.conf.stepfunctions.NegativeDefaultStepFunction
equals(Object) - Method in class org.deeplearning4j.nn.conf.stepfunctions.NegativeGradientStepFunction
equals(Object) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
equals(Object) - Method in class org.deeplearning4j.nn.updater.graph.ComputationGraphUpdater
equals(Object) - Method in class org.deeplearning4j.nn.updater.LayerUpdater
equals(Object) - Method in class org.deeplearning4j.nn.updater.MultiLayerUpdater
equals(Object) - Method in class org.deeplearning4j.spark.models.sequencevectors.primitives.NetworkInformation
equals(Object) - Method in class org.deeplearning4j.streaming.embedded.StringOption
equals(Object) - Method in class org.deeplearning4j.ui.nearestneighbors.word2vec.NearestNeighborsQuery
equals(Object) - Method in class org.deeplearning4j.ui.weights.beans.CompactModelAndGradient
equals(Object) - Method in class org.deeplearning4j.ui.weights.ModelAndGradient
equals(Object) - Method in class org.deeplearning4j.util.Index
equals(Object) - Method in class org.deeplearning4j.util.MultiDimensionalMap
equiv(DataSet, DataSet) - Method in class org.deeplearning4j.spark.ordering.DataSetOrdering
error(INDArray) - Method in interface org.deeplearning4j.nn.api.Layer: Deprecated.
As of 0.7.3 - Feb 2017. No longer used.
error(INDArray) - Method in class org.deeplearning4j.nn.layers.BaseLayer
error(INDArray) - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingLayer
error() - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree: Returns the prediction error for this node
error(INDArray) - Method in class org.deeplearning4j.nn.layers.FrozenLayer
error(INDArray) - Method in class org.deeplearning4j.nn.layers.normalization.BatchNormalization
error(INDArray) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
error(INDArray) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
errorFor(double, double) - Static method in class org.deeplearning4j.util.MathUtils
errorIfGraphIfMLN() - Method in class org.deeplearning4j.nn.transferlearning.TransferLearningHelper
errorSum() - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree: Returns the total prediction error for this tree and its children
escape(String) - Static method in class com.atilika.kuromoji.util.DictionaryEntryLineParser: Escape input for CSV
ESCAPE_CHAR - Static variable in class org.deeplearning4j.util.StringUtils
escapeHTML(String) - Static method in class org.deeplearning4j.util.StringUtils: Escapes HTML Special characters present in the string.
escapeString(String, char[], char) - Static method in class org.deeplearning4j.berkeley.StringUtils
escapeString(String) - Static method in class org.deeplearning4j.util.StringUtils: Escape commas in the string using the default escape char
escapeString(String, char, char) - Static method in class org.deeplearning4j.util.StringUtils: Escape charToEscape in the string with the escape char escapeChar
escapeString(String, char, char[]) - Static method in class org.deeplearning4j.util.StringUtils
esConfig - Variable in class org.deeplearning4j.earlystopping.trainer.BaseEarlyStoppingTrainer
esConfig - Variable in class org.deeplearning4j.parallelism.EarlyStoppingParallelTrainer
EUCLIDEAN - Static variable in class org.deeplearning4j.clustering.vptree.VPTree
euclideanDistance(double[], double[]) - Static method in class org.deeplearning4j.util.MathUtils: This returns the distance of two vectors sum(i=1,n) (q_i - p_i)^2
euclideanDistance(float[], float[]) - Static method in class org.deeplearning4j.util.MathUtils: This returns the distance of two vectors sum(i=1,n) (q_i - p_i)^2
eval(INDArray, INDArray, List<? extends Serializable>) - Method in class org.deeplearning4j.eval.BaseEvaluation
eval(INDArray, INDArray, INDArray) - Method in class org.deeplearning4j.eval.BaseEvaluation
eval(INDArray, INDArray, ComputationGraph) - Method in class org.deeplearning4j.eval.Evaluation: Evaluate the output using the given true labels, the input to the multi layer network and the multi layer network to use for evaluation
eval(INDArray, INDArray, MultiLayerNetwork) - Method in class org.deeplearning4j.eval.Evaluation: Evaluate the output using the given true labels, the input to the multi layer network and the multi layer network to use for evaluation
eval(INDArray, INDArray) - Method in class org.deeplearning4j.eval.Evaluation: Collects statistics on the real outcomes vs the guesses.
eval(INDArray, INDArray, List<? extends Serializable>) - Method in class org.deeplearning4j.eval.Evaluation: Evaluate the network, with optional metadata
eval(int, int) - Method in class org.deeplearning4j.eval.Evaluation: Evaluate a single prediction (one prediction at a time)
eval(INDArray, INDArray) - Method in class org.deeplearning4j.eval.EvaluationBinary
eval(INDArray, INDArray, INDArray) - Method in class org.deeplearning4j.eval.EvaluationBinary
eval(INDArray, INDArray) - Method in interface org.deeplearning4j.eval.IEvaluation
eval(INDArray, INDArray, List<? extends Serializable>) - Method in interface org.deeplearning4j.eval.IEvaluation
eval(INDArray, INDArray, INDArray) - Method in interface org.deeplearning4j.eval.IEvaluation
eval(INDArray, INDArray) - Method in class org.deeplearning4j.eval.RegressionEvaluation
eval(INDArray, INDArray) - Method in class org.deeplearning4j.eval.ROC: Evaluate (collect statistics for) the given minibatch of data.
eval(INDArray, INDArray) - Method in class org.deeplearning4j.eval.ROCBinary
eval(INDArray, INDArray, INDArray) - Method in class org.deeplearning4j.eval.ROCBinary
eval(INDArray, INDArray) - Method in class org.deeplearning4j.eval.ROCMultiClass: Evaluate (collect statistics for) the given minibatch of data.
EvalTest - Class in org.deeplearning4j.eval: Created by agibsonccc on 12/22/14.
EvalTest() - Constructor for class org.deeplearning4j.eval.EvalTest
evalTimeSeries(INDArray, INDArray) - Method in class org.deeplearning4j.eval.BaseEvaluation
evalTimeSeries(INDArray, INDArray, INDArray) - Method in class org.deeplearning4j.eval.BaseEvaluation
evalTimeSeries(INDArray, INDArray, INDArray) - Method in class org.deeplearning4j.eval.EvaluationBinary
evalTimeSeries(INDArray, INDArray) - Method in interface org.deeplearning4j.eval.IEvaluation
evalTimeSeries(INDArray, INDArray, INDArray) - Method in interface org.deeplearning4j.eval.IEvaluation
evaluate(DataSetIterator) - Method in class org.deeplearning4j.nn.graph.ComputationGraph: Evaluate the network (classification performance - single output ComputationGraphs only)
evaluate(MultiDataSetIterator) - Method in class org.deeplearning4j.nn.graph.ComputationGraph: Evaluate the network (classification performance - single output ComputationGraphs only)
evaluate(DataSetIterator, List<String>) - Method in class org.deeplearning4j.nn.graph.ComputationGraph: Evaluate the network on the provided data set (single output ComputationGraphs only).
evaluate(MultiDataSetIterator, List<String>) - Method in class org.deeplearning4j.nn.graph.ComputationGraph: Evaluate the network on the provided data set (single output ComputationGraphs only).
evaluate(DataSetIterator, List<String>, int) - Method in class org.deeplearning4j.nn.graph.ComputationGraph: Evaluate the network (for classification) on the provided data set, with top N accuracy in addition to standard accuracy.
evaluate(MultiDataSetIterator, List<String>, int) - Method in class org.deeplearning4j.nn.graph.ComputationGraph: Evaluate the network (for classification) on the provided data set, with top N accuracy in addition to standard accuracy.
evaluate(DataSetIterator) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork: Evaluate the network (classification performance)
evaluate(DataSetIterator, List<String>) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork: Evaluate the network on the provided data set.
evaluate(DataSetIterator, List<String>, int) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork: Evaluate the network (for classification) on the provided data set, with top N accuracy in addition to standard accuracy.
evaluate(RDD<DataSet>) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer: RDD<DataSet> overload of SparkDl4jMultiLayer.evaluate(JavaRDD)
evaluate(JavaRDD<DataSet>) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer: Evaluate the network (classification performance) in a distributed manner on the provided data
evaluate(RDD<DataSet>, List<String>) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer: RDD<DataSet> overload of SparkDl4jMultiLayer.evaluate(JavaRDD, List)
evaluate(JavaRDD<DataSet>, List<String>) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer: Evaluate the network (classification performance) in a distributed manner, using default batch size and a provided list of labels
evaluate(JavaRDD<DataSet>, List<String>, int) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer: Evaluate the network (classification performance) in a distributed manner, using specified batch size and a provided list of labels
evaluateEveryNEpochs(int) - Method in class org.deeplearning4j.earlystopping.EarlyStoppingConfiguration.Builder: How frequently should evaluations be conducted (in terms of epochs)? Defaults to every (1) epochs.
evaluateRegression(DataSetIterator) - Method in class org.deeplearning4j.nn.graph.ComputationGraph: Evaluate the (single output layer only) network for regression performance
evaluateRegression(MultiDataSetIterator) - Method in class org.deeplearning4j.nn.graph.ComputationGraph: Evaluate the (single output layer only) network for regression performance
evaluateRegression(DataSetIterator, List<String>) - Method in class org.deeplearning4j.nn.graph.ComputationGraph: Evaluate the (single output layer only) network for regression performance
evaluateRegression(MultiDataSetIterator, List<String>) - Method in class org.deeplearning4j.nn.graph.ComputationGraph: Evaluate the (single output layer only) network for regression performance
evaluateRegression(DataSetIterator) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork: Evaluate the network for regression performance
evaluateRegression(JavaRDD<DataSet>) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer: Evaluate the network (regression performance) in a distributed manner on the provided data
evaluateRegression(JavaRDD<DataSet>, int) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer: Evaluate the network (regression performance) in a distributed manner on the provided data
evaluateROC(DataSetIterator, int) - Method in class org.deeplearning4j.nn.graph.ComputationGraph: Evaluate the network (must be a binary classifier) on the specified data, using the ROC class
evaluateROC(MultiDataSetIterator, int) - Method in class org.deeplearning4j.nn.graph.ComputationGraph: Evaluate the network (must be a binary classifier) on the specified data, using the ROC class
evaluateROC(DataSetIterator, int) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork: Evaluate the network (must be a binary classifier) on the specified data, using the ROC class
evaluateROC(JavaRDD<DataSet>) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer: Perform ROC analysis/evaluation on the given DataSet in a distributed manner, using the default number of threshold steps (SparkDl4jMultiLayer.DEFAULT_ROC_THRESHOLD_STEPS) and the default minibatch size (SparkDl4jMultiLayer.DEFAULT_EVAL_SCORE_BATCH_SIZE)
evaluateROC(JavaRDD<DataSet>, int, int) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer: Perform ROC analysis/evaluation on the given DataSet in a distributed manner
evaluateROCMultiClass(DataSetIterator, int) - Method in class org.deeplearning4j.nn.graph.ComputationGraph: Evaluate the network on the specified data, using the ROCMultiClass class
evaluateROCMultiClass(MultiDataSetIterator, int) - Method in class org.deeplearning4j.nn.graph.ComputationGraph: Evaluate the network on the specified data, using the ROCMultiClass class
evaluateROCMultiClass(DataSetIterator, int) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork: Evaluate the network on the specified data, using the ROCMultiClass class
evaluateROCMultiClass(JavaRDD<DataSet>) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer: Perform ROC analysis/evaluation (for the multi-class case, using ROCMultiClass on the given DataSet in a distributed manner
evaluateROCMultiClass(JavaRDD<DataSet>, int, int) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer: Perform ROC analysis/evaluation (for the multi-class case, using ROCMultiClass on the given DataSet in a distributed manner
Evaluation - Class in org.deeplearning4j.eval: Evaluation metrics: precision, recall, f1
Evaluation() - Constructor for class org.deeplearning4j.eval.Evaluation
Evaluation(int) - Constructor for class org.deeplearning4j.eval.Evaluation: The number of classes to account for in the evaluation
Evaluation(List<String>) - Constructor for class org.deeplearning4j.eval.Evaluation: The labels to include with the evaluation.
Evaluation(Map<Integer, String>) - Constructor for class org.deeplearning4j.eval.Evaluation: Use a map to generate labels Pass in a label index with the actual label you want to use for output
Evaluation(List<String>, int) - Constructor for class org.deeplearning4j.eval.Evaluation: Constructor to use for top N accuracy
EvaluationBinary - Class in org.deeplearning4j.eval: EvaluationBinary: used for evaluating networks with binary classification outputs.
EvaluationBinary(int) - Constructor for class org.deeplearning4j.eval.EvaluationBinary
EvaluationBinary(int, Integer) - Constructor for class org.deeplearning4j.eval.EvaluationBinary: This constructor allows for ROC to be calculated in addition to the standard evaluation metrics, when the rocBinarySteps arg is non-null.
EvaluationBinaryTest - Class in org.deeplearning4j.eval: Created by Alex on 20/03/2017.
EvaluationBinaryTest() - Constructor for class org.deeplearning4j.eval.EvaluationBinaryTest
EvaluationTools - Class in org.deeplearning4j.evaluation: Tools for evaluation and rendering ROC and ROCMultiClass results
EvaluationToolsTests - Class in org.deeplearning4j.eval: Created by Alex on 07/01/2017.
EvaluationToolsTests() - Constructor for class org.deeplearning4j.eval.EvaluationToolsTests
EvaluationUtils - Class in org.deeplearning4j.eval: Utility methods for performing evaluation
EvaluationUtils() - Constructor for class org.deeplearning4j.eval.EvaluationUtils
eventListeners - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors
EventStats - Interface in org.deeplearning4j.spark.stats: Created by Alex on 26/06/2016.
exactBinomial(int, int, double) - Static method in class org.deeplearning4j.berkeley.SloppyMath: Find a one tailed exact binomial test probability.
exampleCount - Variable in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
ExampleCountEventStats - Class in org.deeplearning4j.spark.stats: Event stats implementation with number of examples
ExampleCountEventStats(long, long, int) - Constructor for class org.deeplearning4j.spark.stats.ExampleCountEventStats
ExampleCountEventStats(String, String, long, long, long, int) - Constructor for class org.deeplearning4j.spark.stats.ExampleCountEventStats
exampleNegLogProbability(INDArray, INDArray) - Method in class org.deeplearning4j.nn.conf.layers.variational.BernoulliReconstructionDistribution
exampleNegLogProbability(INDArray, INDArray) - Method in class org.deeplearning4j.nn.conf.layers.variational.CompositeReconstructionDistribution
exampleNegLogProbability(INDArray, INDArray) - Method in class org.deeplearning4j.nn.conf.layers.variational.ExponentialReconstructionDistribution
exampleNegLogProbability(INDArray, INDArray) - Method in class org.deeplearning4j.nn.conf.layers.variational.GaussianReconstructionDistribution
exampleNegLogProbability(INDArray, INDArray) - Method in class org.deeplearning4j.nn.conf.layers.variational.LossFunctionWrapper
exampleNegLogProbability(INDArray, INDArray) - Method in interface org.deeplearning4j.nn.conf.layers.variational.ReconstructionDistribution: Calculate the negative log probability for each example individually
examplesPerSecond() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
examplesPerSecond(float) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
examplesPerSecondId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
examplesPerSecondMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
examplesPerSecondMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
examplesPerSecondMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
examplesPerSecondMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
examplesPerSecondMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
examplesPerSecondNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
examplesPerSecondNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
exec() - Method in class org.deeplearning4j.aws.ec2.provision.ClusterSetup
executeTraining(SparkDl4jMultiLayer, JavaRDD<DataSet>) - Method in interface org.deeplearning4j.spark.api.TrainingMaster: Train the SparkDl4jMultiLayer with the specified data set
executeTraining(SparkDl4jMultiLayer, JavaPairRDD<String, PortableDataStream>) - Method in interface org.deeplearning4j.spark.api.TrainingMaster: Deprecated.
Deprecated due to poor performance
executeTraining(SparkComputationGraph, JavaRDD<DataSet>) - Method in interface org.deeplearning4j.spark.api.TrainingMaster: Train the SparkComputationGraph with the specified data set
executeTraining(SparkComputationGraph, JavaPairRDD<String, PortableDataStream>) - Method in interface org.deeplearning4j.spark.api.TrainingMaster: Deprecated.
Deprecated due to poor performance
executeTraining(SparkDl4jMultiLayer, JavaRDD<DataSet>) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
executeTraining(SparkDl4jMultiLayer, JavaPairRDD<String, PortableDataStream>) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster: Deprecated.
Due to poor performance
executeTraining(SparkComputationGraph, JavaRDD<DataSet>) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
executeTraining(SparkComputationGraph, JavaPairRDD<String, PortableDataStream>) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
executeTrainingMDS(SparkComputationGraph, JavaRDD<MultiDataSet>) - Method in interface org.deeplearning4j.spark.api.TrainingMaster: Train the SparkComputationGraph with the specified data set
executeTrainingMDS(SparkComputationGraph, JavaPairRDD<String, PortableDataStream>) - Method in interface org.deeplearning4j.spark.api.TrainingMaster: Deprecated.
Deprecated due to poor performance
executeTrainingMDS(SparkComputationGraph, JavaRDD<MultiDataSet>) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
executeTrainingMDS(SparkComputationGraph, JavaPairRDD<String, PortableDataStream>) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
executeTrainingPaths(SparkDl4jMultiLayer, JavaRDD<String>) - Method in interface org.deeplearning4j.spark.api.TrainingMaster: EXPERIMENTAL method, may be removed in a future release.
Fit the network using a list of paths for serialized DataSet objects.
executeTrainingPaths(SparkComputationGraph, JavaRDD<String>) - Method in interface org.deeplearning4j.spark.api.TrainingMaster: EXPERIMENTAL method, may be removed in a future release.
Fit the network using a list of paths for serialized DataSet objects.
executeTrainingPaths(SparkDl4jMultiLayer, JavaRDD<String>) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
executeTrainingPaths(SparkComputationGraph, JavaRDD<String>) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
executeTrainingPathsMDS(SparkComputationGraph, JavaRDD<String>) - Method in interface org.deeplearning4j.spark.api.TrainingMaster: EXPERIMENTAL method, may be removed in a future release.
Fit the network using a list of paths for serialized MultiDataSet objects.
executeTrainingPathsMDS(SparkComputationGraph, JavaRDD<String>) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
ExecuteWorkerFlatMap<R extends TrainingResult> - Class in org.deeplearning4j.spark.api.worker: A FlatMapFunction for executing training on DataSets.
ExecuteWorkerFlatMap(TrainingWorker<R>) - Constructor for class org.deeplearning4j.spark.api.worker.ExecuteWorkerFlatMap
ExecuteWorkerMultiDataSetFlatMap<R extends TrainingResult> - Class in org.deeplearning4j.spark.api.worker: A FlatMapFunction for executing training on MultiDataSets.
ExecuteWorkerMultiDataSetFlatMap(TrainingWorker<R>) - Constructor for class org.deeplearning4j.spark.api.worker.ExecuteWorkerMultiDataSetFlatMap
ExecuteWorkerPathFlatMap<R extends TrainingResult> - Class in org.deeplearning4j.spark.api.worker: A FlatMapFunction for executing training on serialized DataSet objects, that can be loaded from a path (local or HDFS) that is specified as a String Used in both SparkDl4jMultiLayer and SparkComputationGraph implementations
ExecuteWorkerPathFlatMap(TrainingWorker<R>) - Constructor for class org.deeplearning4j.spark.api.worker.ExecuteWorkerPathFlatMap
ExecuteWorkerPathMDSFlatMap<R extends TrainingResult> - Class in org.deeplearning4j.spark.api.worker: A FlatMapFunction for executing training on serialized DataSet objects, that can be loaded from a path (local or HDFS) that is specified as a String Used in both SparkDl4jMultiLayer and SparkComputationGraph implementations
ExecuteWorkerPathMDSFlatMap(TrainingWorker<R>) - Constructor for class org.deeplearning4j.spark.api.worker.ExecuteWorkerPathMDSFlatMap
ExecuteWorkerPDSFlatMap<R extends TrainingResult> - Class in org.deeplearning4j.spark.api.worker: A FlatMapFunction for executing training on serialized DataSet objects, that can be loaded using a PortableDataStream Used in both SparkDl4jMultiLayer and SparkComputationGraph implementations
ExecuteWorkerPDSFlatMap(TrainingWorker<R>) - Constructor for class org.deeplearning4j.spark.api.worker.ExecuteWorkerPDSFlatMap
ExecuteWorkerPDSMDSFlatMap<R extends TrainingResult> - Class in org.deeplearning4j.spark.api.worker: A FlatMapFunction for executing training on serialized MultiDataSet objects, that can be loaded using a PortableDataStream Used for SparkComputationGraph implementations only
ExecuteWorkerPDSMDSFlatMap(TrainingWorker<R>) - Constructor for class org.deeplearning4j.spark.api.worker.ExecuteWorkerPDSMDSFlatMap
ExistingDataSetIterator - Class in org.deeplearning4j.datasets.iterator: This wrapper provides DataSetIterator interface to existing java Iterable and Iterator
ExistingDataSetIterator(Iterator<DataSet>) - Constructor for class org.deeplearning4j.datasets.iterator.ExistingDataSetIterator
ExistingDataSetIterator(Iterator<DataSet>, List<String>) - Constructor for class org.deeplearning4j.datasets.iterator.ExistingDataSetIterator
ExistingDataSetIterator(Iterable<DataSet>) - Constructor for class org.deeplearning4j.datasets.iterator.ExistingDataSetIterator
ExistingDataSetIterator(Iterable<DataSet>, List<String>) - Constructor for class org.deeplearning4j.datasets.iterator.ExistingDataSetIterator
ExistingDataSetIterator(Iterable<DataSet>, int, int, int) - Constructor for class org.deeplearning4j.datasets.iterator.ExistingDataSetIterator
existingModel - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors
existingVectors - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
EXISTS - Static variable in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
exp(double) - Static method in class org.deeplearning4j.berkeley.SloppyMath
ExponentialReconstructionDistribution - Class in org.deeplearning4j.nn.conf.layers.variational: Exponential reconstruction distribution.
Supports data in range [0,infinity)
ExponentialReconstructionDistribution() - Constructor for class org.deeplearning4j.nn.conf.layers.variational.ExponentialReconstructionDistribution
ExponentialReconstructionDistribution(String) - Constructor for class org.deeplearning4j.nn.conf.layers.variational.ExponentialReconstructionDistribution: Deprecated.
Use ExponentialReconstructionDistribution.ExponentialReconstructionDistribution(Activation)
ExponentialReconstructionDistribution(Activation) - Constructor for class org.deeplearning4j.nn.conf.layers.variational.ExponentialReconstructionDistribution
ExponentialReconstructionDistribution(IActivation) - Constructor for class org.deeplearning4j.nn.conf.layers.variational.ExponentialReconstructionDistribution
export(JavaRDD<ExportContainer<T>>) - Method in class org.deeplearning4j.spark.models.sequencevectors.export.impl.HdfsModelExporter
export(JavaRDD<ExportContainer<VocabWord>>) - Method in class org.deeplearning4j.spark.models.sequencevectors.export.impl.VocabCacheExporter
export(JavaRDD<ExportContainer<T>>) - Method in interface org.deeplearning4j.spark.models.sequencevectors.export.SparkModelExporter: This method will be called at final stage of SequenceVectors training, and JavaRDD being passed as argument will
ExportContainer<T extends SequenceElement> - Class in org.deeplearning4j.spark.models.sequencevectors.export
ExportContainer() - Constructor for class org.deeplearning4j.spark.models.sequencevectors.export.ExportContainer
ExportContainerTest - Class in org.deeplearning4j.spark.models.sequencevectors.export
ExportContainerTest() - Constructor for class org.deeplearning4j.spark.models.sequencevectors.export.ExportContainerTest
exportDirectory(String) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder: When ParameterAveragingTrainingMaster.Builder.rddTrainingApproach(RDDTrainingApproach) is set to RDDTrainingApproach.Export (as it is by default) the data is exported to a temporary directory first.
exporter - Variable in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors
ExportFunction<T extends SequenceElement> - Class in org.deeplearning4j.spark.models.sequencevectors.functions: This function is used to
ExportFunction(Broadcast<VocabCache<ShallowSequenceElement>>, String) - Constructor for class org.deeplearning4j.spark.models.sequencevectors.functions.ExportFunction
exportRocChartsToHtmlFile(ROC, File) - Static method in class org.deeplearning4j.evaluation.EvaluationTools: Given a ROC chart, export the ROC chart and precision vs.
exportRocChartsToHtmlFile(ROCMultiClass, File) - Static method in class org.deeplearning4j.evaluation.EvaluationTools: Given a ROCMultiClass chart, export the ROC chart and precision vs.
exportScores(OutputStream) - Method in class org.deeplearning4j.optimize.listeners.CollectScoresIterationListener: Export the scores in tab-delimited (one per line) UTF-8 format.
exportScores(OutputStream, String) - Method in class org.deeplearning4j.optimize.listeners.CollectScoresIterationListener: Export the scores in delimited (one per line) UTF-8 format with the specified delimiter
exportScores(File) - Method in class org.deeplearning4j.optimize.listeners.CollectScoresIterationListener: Export the scores to the specified file in delimited (one per line) UTF-8 format, tab delimited
exportScores(File, String) - Method in class org.deeplearning4j.optimize.listeners.CollectScoresIterationListener: Export the scores to the specified file in delimited (one per line) UTF-8 format, using the specified delimiter
exportStatFiles(String, SparkContext) - Method in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats
exportStatFiles(String, SparkContext) - Method in interface org.deeplearning4j.spark.api.stats.SparkTrainingStats: Export the stats as a collection of files.
exportStatFiles(String, SparkContext) - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
exportStatFiles(String, SparkContext) - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingWorkerStats
exportStats(List<EventStats>, String, String, String, SparkContext) - Static method in class org.deeplearning4j.spark.stats.StatsUtils
exportStats(List<EventStats>, String, String, SparkContext) - Static method in class org.deeplearning4j.spark.stats.StatsUtils
exportStatsAsHtml(SparkTrainingStats, String, JavaSparkContext) - Static method in class org.deeplearning4j.spark.stats.StatsUtils
exportStatsAsHtml(SparkTrainingStats, String, SparkContext) - Static method in class org.deeplearning4j.spark.stats.StatsUtils: Generate and export a HTML representation (including charts, etc) of the Spark training statistics
Note: exporting is done via Spark, so the path here can be a local file, HDFS, etc.
exportStatsAsHtml(SparkTrainingStats, long, String, SparkContext) - Static method in class org.deeplearning4j.spark.stats.StatsUtils: Generate and export a HTML representation (including charts, etc) of the Spark training statistics
Note: exporting is done via Spark, so the path here can be a local file, HDFS, etc.
exportStatsAsHTML(SparkTrainingStats, OutputStream) - Static method in class org.deeplearning4j.spark.stats.StatsUtils: Generate and export a HTML representation (including charts, etc) of the Spark training statistics
This overload is for writing to an output stream
exportStatsAsHTML(SparkTrainingStats, long, OutputStream) - Static method in class org.deeplearning4j.spark.stats.StatsUtils: Generate and export a HTML representation (including charts, etc) of the Spark training statistics
This overload is for writing to an output stream
ExportSupport - Class in org.deeplearning4j.spark.impl.paramavg.util: Utility for checking if exporting data sets is supported
ExportSupport() - Constructor for class org.deeplearning4j.spark.impl.paramavg.util.ExportSupport
exportSupported(JavaSparkContext) - Static method in class org.deeplearning4j.spark.impl.paramavg.util.ExportSupport: Check if exporting data is supported in the current environment.
exportSupported(String, FileSystem) - Static method in class org.deeplearning4j.spark.impl.paramavg.util.ExportSupport: Check if exporting data is supported in the current environment.
ExportSupportTest - Class in org.deeplearning4j.spark.impl.paramavg.util
ExportSupportTest() - Constructor for class org.deeplearning4j.spark.impl.paramavg.util.ExportSupportTest
expTable - Variable in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
expTable - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
expTable - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
expTable - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
expTable - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
expTable(Broadcast<double[]>) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam.Builder: Deprecated.
externalCache(VocabCache) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder.Builder
ExtraCounter<E> - Class in org.deeplearning4j.spark.models.sequencevectors.primitives: This class serves as Counter for SparkSequenceVectors vocab creation + for distributed parameters server organization Ip addresses extracted here will be used for ParamServer shards selection, and won't be used for anything else
ExtraCounter() - Constructor for class org.deeplearning4j.spark.models.sequencevectors.primitives.ExtraCounter
ExtraCountFunction<T extends SequenceElement> - Class in org.deeplearning4j.spark.models.sequencevectors.functions: This accumulator function does count individual elements, using provided Accumulator
ExtraCountFunction(Accumulator<ExtraCounter<Long>>, boolean) - Constructor for class org.deeplearning4j.spark.models.sequencevectors.functions.ExtraCountFunction
extract(String) - Method in class org.deeplearning4j.text.corpora.sentiwordnet.SWN3
extractLabels() - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
extractNonMaskedTimeSteps(INDArray, INDArray, INDArray) - Static method in class org.deeplearning4j.eval.EvaluationUtils
extractOtherFeatures(DictionaryEntry) - Method in class com.atilika.kuromoji.ipadic.compile.TokenInfoDictionaryCompiler
extractPosFeatures(DictionaryEntry) - Method in class com.atilika.kuromoji.ipadic.compile.TokenInfoDictionaryCompiler
ExtraElementsFrequenciesAccumulator - Class in org.deeplearning4j.spark.models.sequencevectors.functions: Accumulator for elements count
ExtraElementsFrequenciesAccumulator() - Constructor for class org.deeplearning4j.spark.models.sequencevectors.functions.ExtraElementsFrequenciesAccumulator
extraMetaDataBytes() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
extraMetaDataBytesCount(int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
ExtraMetaDataBytesDecoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder.ExtraMetaDataBytesDecoder
extraMetaDataBytesDecoderId() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
ExtraMetaDataBytesEncoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder.ExtraMetaDataBytesEncoder
extraMetaDataBytesId() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder

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