Index (deeplearning4j-nlp 1.0.0-M2.1 API)

A B C D E F G H I J L M N O P R S T U V W
All Classes All Packages

A

absPath - Variable in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator
AbstractCache<T extends SequenceElement> - Class in org.deeplearning4j.models.word2vec.wordstore.inmemory
AbstractCache() - Constructor for class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
AbstractCache.Builder<T extends SequenceElement> - Class in org.deeplearning4j.models.word2vec.wordstore.inmemory
AbstractElementFactory<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.serialization
AbstractElementFactory(Class<? extends SequenceElement>) - Constructor for class org.deeplearning4j.models.sequencevectors.serialization.AbstractElementFactory: This is the only constructor available for AbstractElementFactory
AbstractSequenceIterator<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.iterators
AbstractSequenceIterator(Iterable<Sequence<T>>) - Constructor for class org.deeplearning4j.models.sequencevectors.iterators.AbstractSequenceIterator
AbstractSequenceIterator.Builder<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.iterators
AbstractVertexFactory<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.graph.vertex
AbstractVertexFactory() - Constructor for class org.deeplearning4j.models.sequencevectors.graph.vertex.AbstractVertexFactory
accuracy(List<String>) - Method in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils: Accuracy based on questions which are a space separated list of strings where the first word is the query word, the next 2 words are negative, and the last word is the predicted word to be nearest
accuracy(List<String>) - Method in interface org.deeplearning4j.models.embeddings.reader.ModelUtils: Accuracy based on questions which are a space separated list of strings where the first word is the query word, the next 2 words are negative, and the last word is the predicted word to be nearest
accuracy(List<String>) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors: Accuracy based on questions which are a space separated list of strings where the first word is the query word, the next 2 words are negative, and the last word is the predicted word to be nearest
accuracy(List<String>) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl: Accuracy based on questions which are a space separated list of strings where the first word is the query word, the next 2 words are negative, and the last word is the predicted word to be nearest
accuracy(List<String>) - Method in class org.deeplearning4j.models.fasttext.FastText
accuracy(List<String>) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec: Accuracy based on questions which are a space separated list of strings where the first word is the query word, the next 2 words are negative, and the last word is the predicted word to be nearest PLEASE NOTE: This method is not available in this implementation.
activateScavenger() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder: This method removes low-frequency words based on their frequency change between activations.
adaGrad - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
addEdge(int, int, E, boolean) - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph: Convenience method for adding an edge (directed or undirected) to graph
addEdge(int, int, E, boolean) - Method in interface org.deeplearning4j.models.sequencevectors.graph.primitives.IGraph: Convenience method for adding an edge (directed or undirected) to graph
addEdge(Edge<E>) - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
addEdge(Edge<E>) - Method in interface org.deeplearning4j.models.sequencevectors.graph.primitives.IGraph: Add an edge to the graph.
addElement(T) - Method in class org.deeplearning4j.models.sequencevectors.sequence.Sequence: Adds single element to sequence
addElements(Collection<T>) - Method in class org.deeplearning4j.models.sequencevectors.sequence.Sequence: Adds collection of elements to the sequence
addLabel(String) - Method in class org.deeplearning4j.text.documentiterator.LabelledDocument
addLabelForDoc(int, String) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex: Adds words to the given document
addLabelForDoc(int, T) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex: Add word to a document
addLabelsForDoc(int, Collection<String>) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex: Adds words to the given document
addLabelsForDoc(int, List<T>) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex: Add word to a document
addSentenceIterator(SentenceIterator) - Method in class org.deeplearning4j.text.sentenceiterator.AggregatingSentenceIterator.Builder
addSentenceIterators(Collection<SentenceIterator>) - Method in class org.deeplearning4j.text.sentenceiterator.AggregatingSentenceIterator.Builder
addSentencePreProcessor(SentencePreProcessor) - Method in class org.deeplearning4j.text.sentenceiterator.AggregatingSentenceIterator.Builder: Deprecated.
Use AggregatingSentenceIterator.Builder.sentencePreProcessor(SentencePreProcessor)
addSequenceLabel(T) - Method in class org.deeplearning4j.models.sequencevectors.sequence.Sequence: Adds sequence label.
addSource(SequenceIterator<T>, int) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor.Builder: Adds SequenceIterator for vocabulary construction.
addSourceFolder(File) - Method in class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator.Builder: Root folder for labels -> documents.
addSourceFolder(File) - Method in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator.Builder: Root folder for labels -> documents.
addToken(VocabWord) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.
addToken(T) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache: This method adds specified SequenceElement to vocabulary
addToken(T) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache: Adds a token to the cache
addToken(T, boolean) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
addVertex(Vertex<V>, Collection<Edge<E>>) - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
addVertex(Vertex<V>, Edge<E>) - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
addWord(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder: Adds new word to vocabulary
addWord(VocabularyWord) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
addWordsToDoc(int, List<T>) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex: Adds words to the given document
addWordsToDoc(int, List<T>, String) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex: Adds words to the given document
addWordsToDoc(int, List<T>, Collection<String>) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex: Adds words to the given document
addWordsToDoc(int, List<T>, T) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex: Adds words to the given document
addWordsToDocVocabWord(int, List<T>, Collection<T>) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex: Adds words to the given document
addWordToDoc(int, T) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex: Add word to a document
addWordToIndex(int, long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
addWordToIndex(int, long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.
addWordToIndex(int, long) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
addWordToIndex(int, String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache: This method allows to insert specified label to specified Huffman tree position.
addWordToIndex(int, String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.
addWordToIndex(int, String) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
adjustRank(INDArray) - Method in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
affinityId - Variable in class org.deeplearning4j.models.word2vec.VocabWord
AggregatingSentenceIterator - Class in org.deeplearning4j.text.sentenceiterator
AggregatingSentenceIterator.Builder - Class in org.deeplearning4j.text.sentenceiterator
allDocs() - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex: Returns a list of all documents
allLabels() - Method in interface org.deeplearning4j.iterator.LabeledPairSentenceProvider: Return the list of labels - this also defines the class/integer label assignment order
allLabels() - Method in interface org.deeplearning4j.iterator.LabeledSentenceProvider: Return the list of labels - this also defines the class/integer label assignment order
allLabels() - Method in class org.deeplearning4j.iterator.provider.CollectionLabeledPairSentenceProvider
allLabels() - Method in class org.deeplearning4j.iterator.provider.CollectionLabeledSentenceProvider
allLabels() - Method in class org.deeplearning4j.iterator.provider.FileLabeledSentenceProvider
allLabels() - Method in class org.deeplearning4j.iterator.provider.LabelAwareConverter
allowMultithreading - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.BasicTransformerIterator
allowMultithreading - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer
allowMultithreading - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer.Builder
allowMultithreading(boolean) - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer.Builder: This method enables/disables parallel processing over sentences
allowParallelTokenization - Variable in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
allowParallelTokenization(boolean) - Method in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
allowParallelTokenization(boolean) - Method in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
allowParallelTokenization(boolean) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder: This method enables/disables parallel tokenization.
allowParallelTokenization(boolean) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder: This method enables/disables parallel tokenization.
allowParallelTokenization(boolean) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor.Builder
alpha - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker
alpha - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker.Builder
ANY_LENGTH - org.deeplearning4j.iterator.BertIterator.LengthHandling
appendToken - Variable in class org.deeplearning4j.iterator.BertIterator
appendToken - Variable in class org.deeplearning4j.iterator.BertIterator.Builder
appendToken(String) - Method in class org.deeplearning4j.iterator.BertIterator.Builder: Append the specified token to the sequences, when doing training on sentence pairs.
Generally "[SEP]" is used No token in appended by default.
applyIndexes(VocabCache<? extends SequenceElement>) - Method in class org.deeplearning4j.models.word2vec.Huffman: This method updates VocabCache and all it's elements with Huffman indexes Please note: it should be the same VocabCache as was used for Huffman tree initialization
applySubsampling(Sequence<T>, AtomicLong) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
applySubsampling(Sequence<T>, AtomicLong) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
ArrayComparator() - Constructor for class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils.ArrayComparator
arrayToList(byte[], int) - Static method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder: This method is used only for VocabCache compatibility purposes
arrayToList(int[], int) - Static method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder: This method is used only for VocabCache compatibility purposes
asExampleArray(Window, Word2Vec, boolean) - Static method in class org.deeplearning4j.text.movingwindow.WindowConverter: Converts a window (each word in the window) in to a vector.
asExampleMatrix(Window, Word2Vec) - Static method in class org.deeplearning4j.text.movingwindow.WindowConverter: Converts a window (each word in the window) in to a vector.
asLabels() - Method in class org.deeplearning4j.models.sequencevectors.sequence.Sequence: Returns this sequence as list of labels
asTokens() - Method in class org.deeplearning4j.text.movingwindow.Window
asyncIterator - Variable in class org.deeplearning4j.text.documentiterator.AsyncLabelAwareIterator
AsyncLabelAwareIterator - Class in org.deeplearning4j.text.documentiterator
AsyncLabelAwareIterator(LabelAwareIterator, int) - Constructor for class org.deeplearning4j.text.documentiterator.AsyncLabelAwareIterator
AsyncSequencer(SequenceIterator<T>, Collection<String>) - Constructor for class org.deeplearning4j.models.sequencevectors.SequenceVectors.AsyncSequencer
asyncSupported() - Method in class org.deeplearning4j.iterator.BertIterator
asyncSupported() - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
asyncSupported() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
AVERAGE - org.deeplearning4j.models.sequencevectors.graph.enums.PopularityMode

B

backedIterator - Variable in class org.deeplearning4j.text.documentiterator.AsyncLabelAwareIterator
backendIterator - Variable in class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator
backendIterator - Variable in class org.deeplearning4j.text.documentiterator.interoperability.DocumentIteratorConverter
BagOfWordsVectorizer - Class in org.deeplearning4j.bagofwords.vectorizer
BagOfWordsVectorizer() - Constructor for class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer
BagOfWordsVectorizer.Builder - Class in org.deeplearning4j.bagofwords.vectorizer
BaseSentenceIterator - Class in org.deeplearning4j.text.sentenceiterator
BaseSentenceIterator() - Constructor for class org.deeplearning4j.text.sentenceiterator.BaseSentenceIterator
BaseSentenceIterator(SentencePreProcessor) - Constructor for class org.deeplearning4j.text.sentenceiterator.BaseSentenceIterator
BaseTextVectorizer - Class in org.deeplearning4j.bagofwords.vectorizer
BaseTextVectorizer() - Constructor for class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
BasicLabelAwareIterator - Class in org.deeplearning4j.text.documentiterator
BasicLabelAwareIterator.Builder - Class in org.deeplearning4j.text.documentiterator
BasicLineIterator - Class in org.deeplearning4j.text.sentenceiterator
BasicLineIterator(File) - Constructor for class org.deeplearning4j.text.sentenceiterator.BasicLineIterator
BasicLineIterator(InputStream) - Constructor for class org.deeplearning4j.text.sentenceiterator.BasicLineIterator
BasicLineIterator(String) - Constructor for class org.deeplearning4j.text.sentenceiterator.BasicLineIterator
BasicModelUtils<T extends SequenceElement> - Class in org.deeplearning4j.models.embeddings.reader.impl
BasicModelUtils() - Constructor for class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
BasicModelUtils.ArrayComparator - Class in org.deeplearning4j.models.embeddings.reader.impl
BasicModelUtils.SimilarityComparator - Class in org.deeplearning4j.models.embeddings.reader.impl
BasicModelUtils.WordSimilarity - Class in org.deeplearning4j.models.embeddings.reader.impl
BasicResultSetIterator - Class in org.deeplearning4j.text.sentenceiterator
BasicResultSetIterator(ResultSet, String) - Constructor for class org.deeplearning4j.text.sentenceiterator.BasicResultSetIterator
BasicTransformerIterator - Class in org.deeplearning4j.models.sequencevectors.transformers.impl.iterables
BasicTransformerIterator(LabelAwareIterator, SentenceTransformer) - Constructor for class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.BasicTransformerIterator
batch() - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
batch() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
batches - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
batches - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
BatchItem<T extends SequenceElement> - Class in org.deeplearning4j.models.embeddings.learning.impl.elements
BatchItem(T, int[], boolean[], long, double) - Constructor for class org.deeplearning4j.models.embeddings.learning.impl.elements.BatchItem
BatchItem(T, int[], boolean[], long, double, int) - Constructor for class org.deeplearning4j.models.embeddings.learning.impl.elements.BatchItem
BatchItem(T, T, long, double) - Constructor for class org.deeplearning4j.models.embeddings.learning.impl.elements.BatchItem
batchIter(int) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex: Iterate over batches
BatchSequences<T extends SequenceElement> - Class in org.deeplearning4j.models.embeddings.learning.impl.elements
BatchSequences(int) - Constructor for class org.deeplearning4j.models.embeddings.learning.impl.elements.BatchSequences
batchSize - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
batchSize - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
batchSize() - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex: For word vectors, this is the batch size for which to train on
batchSize(int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder: This method defines mini-batch size
batchSize(int) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder: This method defines batchSize option, viable only if iterations > 1
batchSize(int) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder: This method defines mini-batch size
BertIterator - Class in org.deeplearning4j.iterator
BertIterator(BertIterator.Builder) - Constructor for class org.deeplearning4j.iterator.BertIterator
BertIterator.Builder - Class in org.deeplearning4j.iterator
BertIterator.FeatureArrays - Enum in org.deeplearning4j.iterator
BertIterator.LengthHandling - Enum in org.deeplearning4j.iterator
BertIterator.Task - Enum in org.deeplearning4j.iterator
BertIterator.UnsupervisedLabelFormat - Enum in org.deeplearning4j.iterator
BertMaskedLMMasker - Class in org.deeplearning4j.iterator.bert
BertMaskedLMMasker() - Constructor for class org.deeplearning4j.iterator.bert.BertMaskedLMMasker: Create a BertMaskedLMMasker with all default probabilities
BertMaskedLMMasker(Random, double, double, double) - Constructor for class org.deeplearning4j.iterator.bert.BertMaskedLMMasker: See: BertMaskedLMMasker for details.
BertSequenceMasker - Interface in org.deeplearning4j.iterator.bert
BertWordPiecePreProcessor - Class in org.deeplearning4j.text.tokenization.tokenizer.preprocessor
BertWordPiecePreProcessor() - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.preprocessor.BertWordPiecePreProcessor
BertWordPiecePreProcessor(boolean, boolean, Map<String, Integer>) - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.preprocessor.BertWordPiecePreProcessor
BertWordPieceStreamTokenizer - Class in org.deeplearning4j.text.tokenization.tokenizer
BertWordPieceStreamTokenizer(InputStream, Charset, NavigableMap<String, Integer>, TokenPreProcess, TokenPreProcess) - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.BertWordPieceStreamTokenizer
BertWordPieceTokenizer - Class in org.deeplearning4j.text.tokenization.tokenizer
BertWordPieceTokenizer(String, NavigableMap<String, Integer>, TokenPreProcess, TokenPreProcess) - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.BertWordPieceTokenizer
BertWordPieceTokenizerFactory - Class in org.deeplearning4j.text.tokenization.tokenizerfactory
BertWordPieceTokenizerFactory(File, boolean, boolean, Charset) - Constructor for class org.deeplearning4j.text.tokenization.tokenizerfactory.BertWordPieceTokenizerFactory: Create a BertWordPieceTokenizerFactory, load the vocabulary from the specified file.
The expected format is a \n seperated list of tokens for vocab entries
BertWordPieceTokenizerFactory(InputStream, boolean, boolean, Charset) - Constructor for class org.deeplearning4j.text.tokenization.tokenizerfactory.BertWordPieceTokenizerFactory: Create a BertWordPieceTokenizerFactory, load the vocabulary from the specified input stream.
The expected format for vocabulary is a \n seperated list of tokens for vocab entries
BertWordPieceTokenizerFactory(NavigableMap<String, Integer>, boolean, boolean) - Constructor for class org.deeplearning4j.text.tokenization.tokenizerfactory.BertWordPieceTokenizerFactory
BertWordPieceTokenizerFactory(NavigableMap<String, Integer>, TokenPreProcess) - Constructor for class org.deeplearning4j.text.tokenization.tokenizerfactory.BertWordPieceTokenizerFactory
BinaryReader(File) - Constructor for class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.BinaryReader
BinaryTree - Interface in org.deeplearning4j.models.sequencevectors.graph.huffman
BlindInferenceCallable(VocabCache<VocabWord>, TokenizerFactory, String) - Constructor for class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.BlindInferenceCallable
BlindInferenceCallable(VocabCache<VocabWord>, TokenizerFactory, String, AtomicLong) - Constructor for class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.BlindInferenceCallable
buffer - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.ParallelTransformerIterator
bufferSize - Variable in class org.deeplearning4j.text.documentiterator.AsyncLabelAwareIterator
build() - Method in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
build() - Method in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
build() - Method in class org.deeplearning4j.iterator.BertIterator.Builder
build() - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder
build() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
build() - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder: Deprecated.
build() - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
build() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker.Builder: This method returns you new GraphWalker instance
build() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker.Builder: This method builds PopularityWalker object with previously specified params
build() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker.Builder: This method builds RandomWalker instance
build() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.WeightedWalker.Builder
build() - Method in class org.deeplearning4j.models.sequencevectors.iterators.AbstractSequenceIterator.Builder: Builds SequenceIterator
build() - Method in class org.deeplearning4j.models.sequencevectors.listeners.SerializingListener.Builder: This method returns new SerializingListener instance
build() - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder: Build SequenceVectors instance with defined settings/options
build() - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer.Builder
build() - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer.Builder
build() - Method in class org.deeplearning4j.models.word2vec.Huffman
build() - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec.Builder: This method returns Static Word2Vec implementation, which is suitable for tasks like neural nets feeding.
build() - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
build() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache.Builder
build() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor.Builder
build() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder.Builder
build() - Method in class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator.Builder
build() - Method in class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator.Builder
build() - Method in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator.Builder
build() - Method in class org.deeplearning4j.text.sentenceiterator.AggregatingSentenceIterator.Builder
build() - Method in class org.deeplearning4j.text.sentenceiterator.PrefetchingSentenceIterator.Builder: Deprecated.
build() - Method in class org.deeplearning4j.text.sentenceiterator.StreamLineIterator.Builder
builder() - Static method in class org.deeplearning4j.iterator.BertIterator
Builder() - Constructor for class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
Builder() - Constructor for class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
Builder() - Constructor for class org.deeplearning4j.iterator.BertIterator.Builder
Builder() - Constructor for class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder: Deprecated.
Due to old default, that will be changed in the future. Use Builder(Format) to specify the CnnSentenceDataSetIterator.Format of the activations
Builder() - Constructor for class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
Builder() - Constructor for class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
Builder() - Constructor for class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
Builder() - Constructor for class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer.Builder
Builder() - Constructor for class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer.Builder
Builder() - Constructor for class org.deeplearning4j.models.word2vec.Word2Vec.Builder
Builder() - Constructor for class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache.Builder
Builder() - Constructor for class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor.Builder
Builder() - Constructor for class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder.Builder
Builder() - Constructor for class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator.Builder: This method should stay protected, since it's only viable for testing purposes
Builder() - Constructor for class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator.Builder
Builder() - Constructor for class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator.Builder
Builder() - Constructor for class org.deeplearning4j.text.sentenceiterator.AggregatingSentenceIterator.Builder
Builder(InputStream) - Constructor for class org.deeplearning4j.text.sentenceiterator.StreamLineIterator.Builder
Builder(Iterable<Sequence<T>>) - Constructor for class org.deeplearning4j.models.sequencevectors.iterators.AbstractSequenceIterator.Builder: Builds AbstractSequenceIterator on top of Iterable object
Builder(CnnSentenceDataSetIterator.Format) - Constructor for class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder
Builder(VectorsConfiguration) - Constructor for class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
Builder(VectorsConfiguration) - Constructor for class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
Builder(VectorsConfiguration) - Constructor for class org.deeplearning4j.models.word2vec.Word2Vec.Builder
Builder(IGraph<T, ?>) - Constructor for class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker.Builder: Builder constructor for RandomWalker
Builder(IGraph<T, ?>) - Constructor for class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer.Builder
Builder(IGraph<V, ?>) - Constructor for class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker.Builder
Builder(GraphWalker<T>) - Constructor for class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer.Builder
Builder(GraphWalker<V>, VectorsConfiguration) - Constructor for class org.deeplearning4j.models.node2vec.Node2Vec.Builder: Deprecated.
Builder(DocumentIterator) - Constructor for class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator.Builder: We assume that each inputStream in this iterator is separate document/paragraph
Builder(DocumentIterator) - Constructor for class org.deeplearning4j.text.sentenceiterator.StreamLineIterator.Builder
Builder(LabelAwareDocumentIterator) - Constructor for class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator.Builder: We assume that each inputStream in this iterator is separate document/paragraph Labels will be converted into LabelledDocument format
Builder(LabelAwareIterator) - Constructor for class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator.Builder
Builder(LabelAwareSentenceIterator) - Constructor for class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator.Builder: We assume that each sentence in this iterator is separate document/paragraph.
Builder(SentenceIterator) - Constructor for class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator.Builder: We assume that each sentence in this iterator is separate document/paragraph
Builder(SentenceIterator) - Constructor for class org.deeplearning4j.text.sentenceiterator.PrefetchingSentenceIterator.Builder: Deprecated.
Builder(ListenerEvent, int) - Constructor for class org.deeplearning4j.models.sequencevectors.listeners.SerializingListener.Builder
Builder(IGraph<T, ?>) - Constructor for class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker.Builder
Builder(IGraph<T, ? extends Number>) - Constructor for class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.WeightedWalker.Builder
Builder(AbstractStorage<Integer>, VocabCache<VocabWord>) - Constructor for class org.deeplearning4j.models.word2vec.StaticWord2Vec.Builder
buildExtendedLookupTable() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor: Placeholder for future implementation
buildExtendedVocabulary() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor: Placeholder for future implementation
buildJointVocabulary(boolean, boolean) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor: This method scans all sources passed through builder, and returns all words as vocab.
buildMergedVocabulary(WordVectors, boolean) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor: This method transfers existing WordVectors model into current one
buildMergedVocabulary(VocabCache<T>, boolean) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor: This method transfers existing vocabulary into current one Please note: this method expects source vocabulary has Huffman tree indexes applied
buildNode(List<Byte>, List<Integer>, int, int) - Static method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
buildTree(int[]) - Method in class org.deeplearning4j.models.sequencevectors.graph.huffman.GraphHuffman: Build the Huffman tree given an array of vertex degrees
buildVocab() - Method in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
buildVocab() - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors: Builds vocabulary from provided SequenceIterator instance

C

cache - Variable in class org.deeplearning4j.text.sentenceiterator.FileSentenceIterator
cache(VocabCache<T>) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
call() - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.BlindInferenceCallable
call() - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.InferenceCallable
capacity - Static variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.ParallelTransformerIterator
cbow(int, List<T>, int, AtomicLong, double, int, BatchSequences<T>) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
CBOW<T extends SequenceElement> - Class in org.deeplearning4j.models.embeddings.learning.impl.elements
CBOW - org.deeplearning4j.models.fasttext.FTModels
CBOW() - Constructor for class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
charSet - Variable in class org.deeplearning4j.text.tokenization.tokenizer.preprocessor.BertWordPiecePreProcessor
checkIfEmpty(Map<String, Integer>, String) - Method in class org.deeplearning4j.text.tokenization.tokenizer.BertWordPieceTokenizer
cleanup() - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex: Cleanup any resources used
clear() - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.BatchSequences
CLIP_ONLY - org.deeplearning4j.iterator.BertIterator.LengthHandling
close() - Method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.BinaryReader
close() - Method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.CSVReader
CNN1D - org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Format
CNN2D - org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Format
CnnSentenceDataSetIterator - Class in org.deeplearning4j.iterator
CnnSentenceDataSetIterator(CnnSentenceDataSetIterator.Builder) - Constructor for class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
CnnSentenceDataSetIterator.Builder - Class in org.deeplearning4j.iterator
CnnSentenceDataSetIterator.Format - Enum in org.deeplearning4j.iterator: Format of features:
CNN1D: For use with 1d convolution layers: Shape [minibatch, vectorSize, sentenceLength]
CNN2D: For use with 2d convolution layers: Shape [minibatch, 1, vectorSize, sentenceLength] or [minibatch, 1, sentenceLength, vectorSize], depending on the setting for 'sentencesAlongHeight' configuration.
CnnSentenceDataSetIterator.UnknownWordHandling - Enum in org.deeplearning4j.iterator
codeLength - Variable in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
codes - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
codes - Variable in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
CollectionLabeledPairSentenceProvider - Class in org.deeplearning4j.iterator.provider
CollectionLabeledPairSentenceProvider(List<String>, List<String>, List<String>) - Constructor for class org.deeplearning4j.iterator.provider.CollectionLabeledPairSentenceProvider: Lists containing sentences to iterate over with a third for labels Sentences in the same position in the first two lists are considered a pair
CollectionLabeledPairSentenceProvider(List<String>, List<String>, List<String>, Random) - Constructor for class org.deeplearning4j.iterator.provider.CollectionLabeledPairSentenceProvider: Lists containing sentences to iterate over with a third for labels Sentences in the same position in the first two lists are considered a pair
CollectionLabeledSentenceProvider - Class in org.deeplearning4j.iterator.provider
CollectionLabeledSentenceProvider(List<String>, List<String>) - Constructor for class org.deeplearning4j.iterator.provider.CollectionLabeledSentenceProvider
CollectionLabeledSentenceProvider(List<String>, List<String>, Random) - Constructor for class org.deeplearning4j.iterator.provider.CollectionLabeledSentenceProvider
CollectionSentenceIterator - Class in org.deeplearning4j.text.sentenceiterator
CollectionSentenceIterator(Collection<String>) - Constructor for class org.deeplearning4j.text.sentenceiterator.CollectionSentenceIterator
CollectionSentenceIterator(SentencePreProcessor, Collection<String>) - Constructor for class org.deeplearning4j.text.sentenceiterator.CollectionSentenceIterator
CommonPreprocessor - Class in org.deeplearning4j.text.tokenization.tokenizer.preprocessor
CommonPreprocessor() - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.preprocessor.CommonPreprocessor
compare(Double[], Double[]) - Method in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils.ArrayComparator
compare(BasicModelUtils.WordSimilarity, BasicModelUtils.WordSimilarity) - Method in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils.SimilarityComparator
compare(Vertex<V>, Vertex<V>) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker.VertexComparator
compare(PopularityWalker.Node<T>, PopularityWalker.Node<T>) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker.NodeComparator
compareTo(SequenceElement) - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
CompositePreProcessor - Class in org.deeplearning4j.text.tokenization.tokenizer.preprocessor
CompositePreProcessor(Collection<? extends TokenPreProcess>) - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.preprocessor.CompositePreProcessor
CompositePreProcessor(TokenPreProcess...) - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.preprocessor.CompositePreProcessor
configuration - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
configuration - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
configuration - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
configuration - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors
configure(VocabCache<T>, WeightLookupTable<T>, VectorsConfiguration) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
configure(VocabCache<T>, WeightLookupTable<T>, VectorsConfiguration) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram: SkipGram initialization over given vocabulary and WeightLookupTable
configure(VocabCache<T>, WeightLookupTable<T>, VectorsConfiguration) - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
configure(VocabCache<T>, WeightLookupTable<T>, VectorsConfiguration) - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
configure(VocabCache<T>, WeightLookupTable<T>, VectorsConfiguration) - Method in interface org.deeplearning4j.models.embeddings.learning.ElementsLearningAlgorithm
configure(VocabCache<T>, WeightLookupTable<T>, VectorsConfiguration) - Method in interface org.deeplearning4j.models.embeddings.learning.SequenceLearningAlgorithm
configured - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors
consume(InMemoryLookupTable<T>) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable: This method consumes weights of a given InMemoryLookupTable PLEASE NOTE: this method explicitly resets current weights
Consumer - Class in org.deeplearning4j.models.sequencevectors
Consumer() - Constructor for class org.deeplearning4j.models.sequencevectors.Consumer
consumeVocabulary(VocabularyHolder) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
containsElement(T) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache: Checks, if specified element exists in vocabulary
containsWord(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache: Checks, if specified label exists in vocabulary
containsWord(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.

Returns true if the cache contains the given word
containsWord(String) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache: Returns true if the cache contains the given word
containsWord(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder: Checks vocabulary for the word existence
ContextLabelRetriever - Class in org.deeplearning4j.text.movingwindow
CORRECT - Static variable in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
count - Static variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.ParallelTransformerIterator
countDown() - Method in class org.deeplearning4j.models.word2vec.StreamWork
counter - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer
countFinished - Variable in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
countSubmitted - Variable in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
countTokens() - Method in class org.deeplearning4j.text.tokenization.tokenizer.BertWordPieceTokenizer
countTokens() - Method in class org.deeplearning4j.text.tokenization.tokenizer.DefaultStreamTokenizer: Returns number of tokens PLEASE NOTE: this method effectively preloads all tokens.
countTokens() - Method in class org.deeplearning4j.text.tokenization.tokenizer.DefaultTokenizer
countTokens() - Method in class org.deeplearning4j.text.tokenization.tokenizer.NGramTokenizer
countTokens() - Method in interface org.deeplearning4j.text.tokenization.tokenizer.Tokenizer: The number of tokens in the tokenizer
create() - Method in class org.deeplearning4j.bagofwords.vectorizer.DefaultInputStreamCreator
create() - Method in interface org.deeplearning4j.models.word2vec.InputStreamCreator: Create an input stream
create(int) - Method in class org.deeplearning4j.models.sequencevectors.graph.vertex.AbstractVertexFactory
create(int) - Method in interface org.deeplearning4j.models.sequencevectors.graph.vertex.VertexFactory
create(int, T) - Method in class org.deeplearning4j.models.sequencevectors.graph.vertex.AbstractVertexFactory
create(int, T) - Method in interface org.deeplearning4j.models.sequencevectors.graph.vertex.VertexFactory
create(InputStream) - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.BertWordPieceTokenizerFactory
create(InputStream) - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.DefaultTokenizerFactory
create(InputStream) - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.NGramTokenizerFactory
create(InputStream) - Method in interface org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory: Create a tokenizer based on an input stream
create(String) - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.BertWordPieceTokenizerFactory
create(String) - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.DefaultTokenizerFactory
create(String) - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.NGramTokenizerFactory
create(String) - Method in interface org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory: The tokenizer to createComplex
CSVReader(File) - Constructor for class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.CSVReader
currentFile - Variable in class org.deeplearning4j.text.sentenceiterator.FileSentenceIterator
currentIterator - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer
currentIterator - Variable in class org.deeplearning4j.text.documentiterator.SimpleLabelAwareIterator
currentLabel() - Method in interface org.deeplearning4j.text.documentiterator.LabelAwareDocumentIterator: Returns the current label
currentLabel() - Method in class org.deeplearning4j.text.sentenceiterator.labelaware.LabelAwareFileSentenceIterator
currentLabel() - Method in interface org.deeplearning4j.text.sentenceiterator.labelaware.LabelAwareSentenceIterator: Returns the current label for nextSentence()
currentLabels() - Method in class org.deeplearning4j.text.sentenceiterator.labelaware.LabelAwareFileSentenceIterator
currentLabels() - Method in interface org.deeplearning4j.text.sentenceiterator.labelaware.LabelAwareSentenceIterator: For multi label problems
currIndex - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.WeightIterator
currLineIterator - Variable in class org.deeplearning4j.text.sentenceiterator.FileSentenceIterator
CUTOFF_ON_DISCONNECTED - org.deeplearning4j.models.sequencevectors.graph.enums.NoEdgeHandling

D

dataSetPreProcessor(DataSetPreProcessor) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder: Optional DataSetPreProcessor
dbow(int, Sequence<T>, int, AtomicLong, double, boolean, INDArray, BatchSequences<T>) - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
DBOW<T extends SequenceElement> - Class in org.deeplearning4j.models.embeddings.learning.impl.sequence
DBOW() - Constructor for class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
decodeB64(String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.ReadHelper: Encode input string
DEFAULT_MASK_PROB - Static variable in class org.deeplearning4j.iterator.bert.BertMaskedLMMasker
DEFAULT_MASK_TOKEN_PROB - Static variable in class org.deeplearning4j.iterator.bert.BertMaskedLMMasker
DEFAULT_RANDOM_WORD_PROB - Static variable in class org.deeplearning4j.iterator.bert.BertMaskedLMMasker
DEFAULT_UNK - Static variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
DefaultInputStreamCreator - Class in org.deeplearning4j.bagofwords.vectorizer
DefaultInputStreamCreator(DocumentIterator) - Constructor for class org.deeplearning4j.bagofwords.vectorizer.DefaultInputStreamCreator
DefaultStreamTokenizer - Class in org.deeplearning4j.text.tokenization.tokenizer: Tokenizer based on the StreamTokenizer
DefaultStreamTokenizer(InputStream) - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.DefaultStreamTokenizer
DefaultTokenizer - Class in org.deeplearning4j.text.tokenization.tokenizer: Default tokenizer
DefaultTokenizer(String) - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.DefaultTokenizer
DefaultTokenizerFactory - Class in org.deeplearning4j.text.tokenization.tokenizerfactory: Default tokenizer based on string tokenizer or stream tokenizer
DefaultTokenizerFactory() - Constructor for class org.deeplearning4j.text.tokenization.tokenizerfactory.DefaultTokenizerFactory
depth - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker.Builder
depth - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker
deserialize(String) - Method in interface org.deeplearning4j.models.sequencevectors.interfaces.SequenceElementFactory: This method builds object from provided JSON
deserialize(String) - Method in class org.deeplearning4j.models.sequencevectors.serialization.AbstractElementFactory: This method builds object from provided JSON
deserialize(String) - Method in class org.deeplearning4j.models.sequencevectors.serialization.VocabWordFactory: This method builds object from provided JSON
disableLogging() - Static method in class org.deeplearning4j.text.movingwindow.Util
dm(int, Sequence<T>, int, AtomicLong, double, List<T>, boolean, INDArray, BatchSequences<T>) - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
DM<T extends SequenceElement> - Class in org.deeplearning4j.models.embeddings.learning.impl.sequence
DM() - Constructor for class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
docAppearedIn(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache: Returns number of documents (if applicable) the label was observed in.
docAppearedIn(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.
docAppearedIn(String) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache: Count of documents a word appeared in
docFrequencies - Variable in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.
docIter - Variable in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
docs() - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex: Iterate over documents
document(int) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex: Returns a list of words for a document
DocumentIterator - Interface in org.deeplearning4j.text.documentiterator
DocumentIteratorConverter - Class in org.deeplearning4j.text.documentiterator.interoperability
DocumentIteratorConverter(DocumentIterator, LabelsSource) - Constructor for class org.deeplearning4j.text.documentiterator.interoperability.DocumentIteratorConverter
DocumentIteratorConverter(LabelAwareDocumentIterator) - Constructor for class org.deeplearning4j.text.documentiterator.interoperability.DocumentIteratorConverter
documentPosition - Variable in class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator
documents(T) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex: Returns the list of documents a vocab word is in
documentWithLabel(int) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex: Returns a list of words for a document and the associated label
documentWithLabels(int) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex: Returns a list of words associated with the document and the associated labels

E

eachDoc(Function<List<T>, Void>, Executor) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex: Iterate over each document
eachDocWithLabel(Function<Pair<List<T>, String>, Void>, Executor) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex: Iterate over each document with a label
eachDocWithLabels(Function<Pair<List<T>, Collection<String>>, Void>, Executor) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex: Iterate over each document with a label
Edge<T extends Number> - Class in org.deeplearning4j.models.sequencevectors.graph.primitives
Edge(int, int, T, boolean) - Constructor for class org.deeplearning4j.models.sequencevectors.graph.primitives.Edge
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
elementsLearningAlgorithm - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
elementsLearningAlgorithm - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors
elementsLearningAlgorithm(String) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder: Deprecated.
elementsLearningAlgorithm(String) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder: * Sets specific LearningAlgorithm as Elements Learning Algorithm
elementsLearningAlgorithm(String) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
elementsLearningAlgorithm(ElementsLearningAlgorithm<VocabWord>) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
elementsLearningAlgorithm(ElementsLearningAlgorithm<T>) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder: * Sets specific LearningAlgorithm as Elements Learning Algorithm
elementsLearningAlgorithm(ElementsLearningAlgorithm<V>) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder: Deprecated.
elementsLearningAlgorithm(String) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
elementsLearningAlgorithm(ElementsLearningAlgorithm<VocabWord>) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
ElementsLearningAlgorithm<T extends SequenceElement> - Interface in org.deeplearning4j.models.embeddings.learning
elementsMap - Variable in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
enableScavenger - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
enableScavenger - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors
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(boolean) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder: This method ebables/disables periodical vocab truncation during construction Default value: disabled
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
encodeB64(String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.ReadHelper: Encode input string
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
EPOCH - org.deeplearning4j.models.sequencevectors.enums.ListenerEvent
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
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
eventListeners - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors
EXCEPTION_ON_DISCONNECTED - org.deeplearning4j.models.sequencevectors.graph.enums.NoEdgeHandling
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
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
externalCache(VocabCache) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder.Builder
extractLabels() - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors

F

FastText - Class in org.deeplearning4j.models.fasttext
FastText() - Constructor for class org.deeplearning4j.models.fasttext.FastText
FastText(File) - Constructor for class org.deeplearning4j.models.fasttext.FastText
featureArrays - Variable in class org.deeplearning4j.iterator.BertIterator.Builder
featureArrays - Variable in class org.deeplearning4j.iterator.BertIterator
featureArrays(BertIterator.FeatureArrays) - Method in class org.deeplearning4j.iterator.BertIterator.Builder: Specify what arrays should be returned.
featurizeSentencePairs(List<Pair<String, String>>) - Method in class org.deeplearning4j.iterator.BertIterator: For use during inference.
featurizeSentences(List<String>) - Method in class org.deeplearning4j.iterator.BertIterator: For use during inference.
fetchLabels(boolean) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor.Builder: Sets, if labels should be fetched, during vocab building
file - Variable in class org.deeplearning4j.text.sentenceiterator.FileSentenceIterator
FileDocumentIterator - Class in org.deeplearning4j.text.documentiterator: Iterate over files
FileDocumentIterator(File) - Constructor for class org.deeplearning4j.text.documentiterator.FileDocumentIterator
FileDocumentIterator(String) - Constructor for class org.deeplearning4j.text.documentiterator.FileDocumentIterator
fileIterator - Variable in class org.deeplearning4j.text.sentenceiterator.FileSentenceIterator
FileLabelAwareIterator - Class in org.deeplearning4j.text.documentiterator
FileLabelAwareIterator() - Constructor for class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator
FileLabelAwareIterator(List<File>, LabelsSource) - Constructor for class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator
FileLabelAwareIterator.Builder - Class in org.deeplearning4j.text.documentiterator
FileLabeledSentenceProvider - Class in org.deeplearning4j.iterator.provider
FileLabeledSentenceProvider(Map<String, List<File>>, Random) - Constructor for class org.deeplearning4j.iterator.provider.FileLabeledSentenceProvider
FileLabeledSentenceProvider(Map<String, List<File>>) - Constructor for class org.deeplearning4j.iterator.provider.FileLabeledSentenceProvider
FilenamesLabelAwareIterator - Class in org.deeplearning4j.text.documentiterator
FilenamesLabelAwareIterator() - Constructor for class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator
FilenamesLabelAwareIterator(List<File>, LabelsSource) - Constructor for class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator
FilenamesLabelAwareIterator.Builder - Class in org.deeplearning4j.text.documentiterator
files - Variable in class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator
files - Variable in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator
FileSentenceIterator - Class in org.deeplearning4j.text.sentenceiterator
FileSentenceIterator(File) - Constructor for class org.deeplearning4j.text.sentenceiterator.FileSentenceIterator
FileSentenceIterator(SentencePreProcessor, File) - Constructor for class org.deeplearning4j.text.sentenceiterator.FileSentenceIterator: Takes a single file or directory
FilteredSequenceIterator<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.iterators
FilteredSequenceIterator(SequenceIterator<T>, VocabCache<T>) - Constructor for class org.deeplearning4j.models.sequencevectors.iterators.FilteredSequenceIterator: Creates Filtered SequenceIterator on top of another SequenceIterator and appropriate VocabCache instance
filterVocab(AbstractCache<T>, int) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor
finalize() - Method in class org.deeplearning4j.text.sentenceiterator.BasicLineIterator
finalize() - Method in class org.deeplearning4j.text.sentenceiterator.PrefetchingSentenceIterator: Deprecated.
findLongestSubstring(NavigableMap<String, Integer>, String) - Method in class org.deeplearning4j.text.tokenization.tokenizer.BertWordPieceTokenizer
finish() - Method in interface org.deeplearning4j.models.embeddings.learning.ElementsLearningAlgorithm
finish() - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
finish() - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
finish() - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
finish() - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
finish() - Method in interface org.deeplearning4j.models.embeddings.learning.SequenceLearningAlgorithm
finish() - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex: Finishes saving data
finish() - Method in class org.deeplearning4j.text.sentenceiterator.AggregatingSentenceIterator
finish() - Method in class org.deeplearning4j.text.sentenceiterator.BaseSentenceIterator
finish() - Method in class org.deeplearning4j.text.sentenceiterator.BasicLineIterator
finish() - Method in class org.deeplearning4j.text.sentenceiterator.BasicResultSetIterator
finish() - Method in class org.deeplearning4j.text.sentenceiterator.MutipleEpochsSentenceIterator
finish() - Method in class org.deeplearning4j.text.sentenceiterator.PrefetchingSentenceIterator: Deprecated.
finish() - Method in interface org.deeplearning4j.text.sentenceiterator.SentenceIterator: Allows for any finishing (closing of input streams or the like)
finish() - Method in class org.deeplearning4j.text.sentenceiterator.StreamLineIterator
finish() - Method in class org.deeplearning4j.text.sentenceiterator.SynchronizedSentenceIterator
fit() - Method in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
fit() - Method in interface org.deeplearning4j.bagofwords.vectorizer.TextVectorizer: Train the model
fit() - Method in class org.deeplearning4j.models.fasttext.FastText
fit() - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
fit() - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors: Starts training over
FIXED_LENGTH - org.deeplearning4j.iterator.BertIterator.LengthHandling
FlatModelUtils<T extends SequenceElement> - Class in org.deeplearning4j.models.embeddings.reader.impl
FlatModelUtils() - Constructor for class org.deeplearning4j.models.embeddings.reader.impl.FlatModelUtils
foldersToScan - Variable in class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator.Builder
foldersToScan - Variable in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator.Builder
FORWARD_ONLY - org.deeplearning4j.models.sequencevectors.graph.enums.WalkDirection
FORWARD_PREFERRED - org.deeplearning4j.models.sequencevectors.graph.enums.WalkDirection
FORWARD_UNIQUE - org.deeplearning4j.models.sequencevectors.graph.enums.WalkDirection
fromJson(String) - Static method in class org.deeplearning4j.models.embeddings.loader.VectorsConfiguration
fromJson(String) - Static method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
fromJson(String) - Static method in class org.deeplearning4j.models.word2vec.Word2Vec
fromJson(String) - Static method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
fromJson(String) - Static method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyWord
fromPair(Pair<InMemoryLookupTable, VocabCache>) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: Load word vectors from the given pair
fromTableAndVocab(WeightLookupTable, VocabCache) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: Load word vectors for the given vocab and table
FTLossFunctions - Enum in org.deeplearning4j.models.fasttext
FTModels - Enum in org.deeplearning4j.models.fasttext
FTOptions - Enum in org.deeplearning4j.models.fasttext

G

gen - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
gen(Random) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
generator - Variable in class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator
generator - Variable in class org.deeplearning4j.text.documentiterator.interoperability.DocumentIteratorConverter
get(int) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.BatchSequences
getAlpha() - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.BatchItem
getBatch() - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
getBatch() - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
getBegin() - Method in class org.deeplearning4j.text.movingwindow.Window
getCode(int) - Method in interface org.deeplearning4j.models.sequencevectors.graph.huffman.BinaryTree
getCode(int) - Method in class org.deeplearning4j.models.sequencevectors.graph.huffman.GraphHuffman
getCodeLength() - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement: Returns Huffman code length.
getCodeLength(int) - Method in interface org.deeplearning4j.models.sequencevectors.graph.huffman.BinaryTree
getCodeLength(int) - Method in class org.deeplearning4j.models.sequencevectors.graph.huffman.GraphHuffman
getCodeList(int) - Method in class org.deeplearning4j.models.sequencevectors.graph.huffman.GraphHuffman
getCodeName() - Method in interface org.deeplearning4j.models.embeddings.learning.ElementsLearningAlgorithm
getCodeName() - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
getCodeName() - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram: Returns implementation code name
getCodeName() - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
getCodeName() - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
getCodeName() - Method in interface org.deeplearning4j.models.embeddings.learning.SequenceLearningAlgorithm
getCodes() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
getCodes() - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement: Returns Huffman tree codes
getCodeString(int) - Method in interface org.deeplearning4j.models.sequencevectors.graph.huffman.BinaryTree
getCodeString(int) - Method in class org.deeplearning4j.models.sequencevectors.graph.huffman.GraphHuffman
getConnectedVertexIndices(int) - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
getConnectedVertexIndices(int) - Method in interface org.deeplearning4j.models.sequencevectors.graph.primitives.IGraph: Return an array of indexes of vertices that the specified vertex is connected to.
Specifically, for undirected graphs return int[] of all X.vertexID() such that (vertex -- X) exists
For directed graphs, return int[] of all X.vertexID() such that (vertex -> X) exists
getConnectedVertices(int) - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
getConnectedVertices(int) - Method in interface org.deeplearning4j.models.sequencevectors.graph.primitives.IGraph: Get a list of all of the vertices that the specified vertex is connected to
Specifically, for undirected graphs return list of all X such that (vertex -- X) exists
For directed graphs, return list of all X such that (vertex -> X) exists
getContextWindowSize() - Method in class org.deeplearning4j.models.fasttext.FastText
getCount() - Method in class org.deeplearning4j.models.word2vec.StreamWork
getCount() - Method in class org.deeplearning4j.models.word2vec.VocabWork
getDimension() - Method in class org.deeplearning4j.models.fasttext.FastText
getEdgesOut(int) - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
getEdgesOut(int) - Method in interface org.deeplearning4j.models.sequencevectors.graph.primitives.IGraph: Returns a list of edges for a vertex with a given index For undirected graphs, returns all edges incident on the vertex For directed graphs, only returns outward directed edges
getElementByIndex(int) - Method in class org.deeplearning4j.models.sequencevectors.sequence.Sequence: This method returns sequence element by index
getElementByLabel(String) - Method in class org.deeplearning4j.models.sequencevectors.sequence.Sequence: Returns single element out of this sequence by its label
getElementFrequency() - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement: This method returns SequenceElement's frequency in current training corpus.
getElements() - Method in class org.deeplearning4j.models.sequencevectors.sequence.Sequence: Returns an ordered unmodifiable list of elements from this sequence
getElementsLearningAlgorithm() - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
getElementsLearningAlgorithm() - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
getElementsLearningAlgorithm() - Method in interface org.deeplearning4j.models.embeddings.learning.SequenceLearningAlgorithm
getElementsScore() - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors
getEnd() - Method in class org.deeplearning4j.text.movingwindow.Window
getEpoch() - Method in class org.deeplearning4j.models.fasttext.FastText
getExpTable() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
getFocusWord() - Method in class org.deeplearning4j.text.movingwindow.Window
getGradient(int, double) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
getGradient(int, double) - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable: Returns gradient for specified word
getGradient(int, double, double) - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement: Deprecated.
getHistoricalGradient() - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement: Deprecated.
getIndex() - Method in interface org.deeplearning4j.bagofwords.vectorizer.TextVectorizer: Inverted index
getIndex() - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement: Returns index in Huffman tree
getIs() - Method in class org.deeplearning4j.models.word2vec.StreamWork
getLabel() - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement: This method should return string representation of this SequenceElement, so it can be used for
getLabel() - Method in class org.deeplearning4j.models.sequencevectors.sequence.ShallowSequenceElement
getLabel() - Method in class org.deeplearning4j.models.word2vec.VocabWord
getLabel() - Method in class org.deeplearning4j.models.word2vec.VocabWork
getLabel() - Method in class org.deeplearning4j.text.documentiterator.LabelledDocument: Deprecated.
getLabel() - Method in class org.deeplearning4j.text.movingwindow.Window
getLabel(int) - Method in interface org.deeplearning4j.text.labels.LabelsProvider
getLabelClassMap() - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
getLabelPrefix() - Method in class org.deeplearning4j.models.fasttext.FastText
getLabels() - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
getLabels() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
getLabels() - Method in class org.deeplearning4j.text.documentiterator.LabelsSource: This method returns the list of labels used by this generator instance.
getLabels(List<BasicModelUtils.WordSimilarity>, int) - Static method in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
getLabelsSource() - Method in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
getLabelsSource() - Method in class org.deeplearning4j.text.documentiterator.AsyncLabelAwareIterator
getLabelsSource() - Method in class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator: This method returns LabelsSource instance, containing all labels derived from this iterator
getLabelsSource() - Method in class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator
getLabelsSource() - Method in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator
getLabelsSource() - Method in class org.deeplearning4j.text.documentiterator.interoperability.DocumentIteratorConverter
getLabelsSource() - Method in interface org.deeplearning4j.text.documentiterator.LabelAwareIterator
getLabelsSource() - Method in class org.deeplearning4j.text.documentiterator.LabelAwareIteratorWrapper
getLabelsSource() - Method in class org.deeplearning4j.text.documentiterator.SimpleLabelAwareIterator: This method returns LabelsSource instance, containing all labels derived from this iterator
getLabelsSource() - Method in class org.deeplearning4j.text.sentenceiterator.interoperability.SentenceIteratorConverter
getLastWord() - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.BatchItem
getLayerSize() - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl: This method returns word vector size
getLearningRate() - Method in class org.deeplearning4j.models.fasttext.FastText
getLongHash(String) - Static method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
getLossName() - Method in class org.deeplearning4j.models.fasttext.FastText
getLr() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable: Deprecated.
getMedian() - Method in class org.deeplearning4j.text.movingwindow.Window
getModelName() - Method in class org.deeplearning4j.models.fasttext.FastText
getNegative() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
getNegativesNumber() - Method in class org.deeplearning4j.models.fasttext.FastText
getNumberOfBuckets() - Method in class org.deeplearning4j.models.fasttext.FastText
getNumberOfLabelsUsed() - Method in class org.deeplearning4j.text.documentiterator.LabelsSource: This method returns number of labels used up to the method's call
getNumberOfSequences() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor: This method returns total number of sequences passed through VocabConstructor
getNumLabel() - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.BatchItem
getPathInnerNodes(int) - Method in interface org.deeplearning4j.models.sequencevectors.graph.huffman.BinaryTree
getPathInnerNodes(int) - Method in class org.deeplearning4j.models.sequencevectors.graph.huffman.GraphHuffman
getPoints() - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement: Returns Huffman tree points
getPreProcessor() - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
getPreProcessor() - Method in class org.deeplearning4j.text.sentenceiterator.AggregatingSentenceIterator
getPreProcessor() - Method in class org.deeplearning4j.text.sentenceiterator.BaseSentenceIterator
getPreProcessor() - Method in class org.deeplearning4j.text.sentenceiterator.BasicLineIterator
getPreProcessor() - Method in class org.deeplearning4j.text.sentenceiterator.BasicResultSetIterator
getPreProcessor() - Method in class org.deeplearning4j.text.sentenceiterator.MutipleEpochsSentenceIterator
getPreProcessor() - Method in class org.deeplearning4j.text.sentenceiterator.PrefetchingSentenceIterator: Deprecated.
getPreProcessor() - Method in interface org.deeplearning4j.text.sentenceiterator.SentenceIterator
getPreProcessor() - Method in class org.deeplearning4j.text.sentenceiterator.StreamLineIterator
getPreProcessor() - Method in class org.deeplearning4j.text.sentenceiterator.SynchronizedSentenceIterator
getRandomConnectedVertex(int, Random) - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
getRandomConnectedVertex(int, Random) - Method in interface org.deeplearning4j.models.sequencevectors.graph.primitives.IGraph: Randomly sample a vertex connected to a given vertex.
getRandomValue() - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.BatchItem
getSequenceLabel() - Method in class org.deeplearning4j.models.sequencevectors.sequence.Sequence: Returns label for this sequence
getSequenceLabels() - Method in class org.deeplearning4j.models.sequencevectors.sequence.Sequence: Returns all labels for this sequence
getSequencesCount() - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement: This method returns number of documents/sequences where this element was evidenced
getSequencesScore() - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors
getSourceGraph() - Method in interface org.deeplearning4j.models.sequencevectors.graph.walkers.GraphWalker
getStopWords() - Static method in class org.deeplearning4j.text.stopwords.StopWords
getStorageId() - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
getSyn0() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
getSyn1() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
getSyn1Neg() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
getTable() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
getTableId() - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable: Returns unique ID of this table.
getTokenizerFactory(VectorsConfiguration) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
getTokenPreProcessor() - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.DefaultTokenizerFactory: Returns TokenPreProcessor set for this TokenizerFactory instance
getTokenPreProcessor() - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.NGramTokenizerFactory: Returns TokenPreProcessor set for this TokenizerFactory instance
getTokenPreProcessor() - Method in interface org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory: Returns TokenPreProcessor set for this TokenizerFactory instance
getTokens() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.
getTokens() - Method in class org.deeplearning4j.text.tokenization.tokenizer.BertWordPieceTokenizer
getTokens() - Method in class org.deeplearning4j.text.tokenization.tokenizer.DefaultStreamTokenizer: Returns all tokens as list of Strings
getTokens() - Method in class org.deeplearning4j.text.tokenization.tokenizer.DefaultTokenizer
getTokens() - Method in class org.deeplearning4j.text.tokenization.tokenizer.NGramTokenizer
getTokens() - Method in interface org.deeplearning4j.text.tokenization.tokenizer.Tokenizer: Returns a list of all the tokens
getUNK() - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors
getUNK() - Method in class org.deeplearning4j.models.fasttext.FastText
getUNK() - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors
getUNK() - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
getVertex(int) - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
getVertex(int) - Method in interface org.deeplearning4j.models.sequencevectors.graph.primitives.IGraph: Get a vertex in the graph for a given index
getVertexDegree(int) - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
getVertexDegree(int) - Method in interface org.deeplearning4j.models.sequencevectors.graph.primitives.IGraph: Returns the degree of the vertex.
For undirected graphs, this is just the degree.
For directed graphs, this returns the outdegree
getVertices(int[]) - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
getVertices(int[]) - Method in interface org.deeplearning4j.models.sequencevectors.graph.primitives.IGraph: Get multiple vertices in the graph
getVertices(int, int) - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
getVertices(int, int) - Method in interface org.deeplearning4j.models.sequencevectors.graph.primitives.IGraph: Get multiple vertices in the graph, with secified indices
getVocab() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
getVocab() - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.BertWordPieceTokenizerFactory
getVocabCache() - Method in interface org.deeplearning4j.bagofwords.vectorizer.TextVectorizer: The vocab sorted in descending order
getVocabCache() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
getVocabCache() - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable: Returns corresponding vocabulary
getVocabs() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.
getVocabulary() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
getVocabularyWordByIdx(Integer) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
getVocabularyWordByString(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
getWeights() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
getWeights() - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable
getWindowSize() - Method in class org.deeplearning4j.text.movingwindow.Window
getWindowWords() - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.BatchItem
getWord() - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.BatchItem
getWord() - Method in class org.deeplearning4j.models.word2vec.VocabWord
getWord(int) - Method in class org.deeplearning4j.text.movingwindow.Window
getWordFrequencies() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.
getWordNgrams() - Method in class org.deeplearning4j.models.fasttext.FastText
getWords() - Method in class org.deeplearning4j.text.movingwindow.Window
getWordStatuses() - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.BatchItem
getWordVector(String) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors: Get the word vector for a given matrix
getWordVector(String) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl: Get the word vector for a given matrix
getWordVector(String) - Method in class org.deeplearning4j.models.fasttext.FastText
getWordVector(String) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec: Get the word vector for a given matrix
getWordVectorMatrix(String) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors: Get the word vector for a given matrix
getWordVectorMatrix(String) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
getWordVectorMatrix(String) - Method in class org.deeplearning4j.models.fasttext.FastText
getWordVectorMatrix(String) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors
getWordVectorMatrix(String) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec: Get the word vector for a given matrix
getWordVectorMatrixNormalized(String) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors: Returns the word vector divided by the norm2 of the array
getWordVectorMatrixNormalized(String) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl: Returns the word vector divided by the norm2 of the array
getWordVectorMatrixNormalized(String) - Method in class org.deeplearning4j.models.fasttext.FastText
getWordVectorMatrixNormalized(String) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec: Returns the word vector divided by the norm2 of the array
getWordVectors(Collection<String>) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl: This method returns 2D array, where each row represents corresponding label
getWordVectors(Collection<String>) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors: This method returns 2D array, where each row represents corresponding word/label
getWordVectors(Collection<String>) - Method in class org.deeplearning4j.models.fasttext.FastText
getWordVectors(Collection<String>) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec: This method returns 2D array, where each row represents corresponding word/label
getWordVectorsMean(Collection<String>) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors: This method returns mean vector, built from words/labels passed in
getWordVectorsMean(Collection<String>) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl: This method returns mean vector, built from words/labels passed in
getWordVectorsMean(Collection<String>) - Method in class org.deeplearning4j.models.fasttext.FastText
getWordVectorsMean(Collection<String>) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec: This method returns mean vector, built from words/labels passed in
getWork() - Method in class org.deeplearning4j.models.word2vec.VocabWork
getWorkers() - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
getWorkers() - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
Graph<V extends SequenceElement,E extends Number> - Class in org.deeplearning4j.models.sequencevectors.graph.primitives
Graph() - Constructor for class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
Graph(int, boolean, VertexFactory<V>) - Constructor for class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
Graph(int, VertexFactory<V>) - Constructor for class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
Graph(Collection<V>, boolean) - Constructor for class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
Graph(List<Vertex<V>>) - Constructor for class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
Graph(List<Vertex<V>>, boolean) - Constructor for class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
GraphHuffman - Class in org.deeplearning4j.models.sequencevectors.graph.huffman
GraphHuffman(int) - Constructor for class org.deeplearning4j.models.sequencevectors.graph.huffman.GraphHuffman
GraphHuffman(int, int) - Constructor for class org.deeplearning4j.models.sequencevectors.graph.huffman.GraphHuffman
GraphTransformer<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.transformers.impl
GraphTransformer() - Constructor for class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer
GraphTransformer.Builder<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.transformers.impl
GraphWalker<T extends SequenceElement> - Interface in org.deeplearning4j.models.sequencevectors.graph.walkers

H

hash - Variable in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
hashCached - Variable in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
hashCode() - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Edge
hashCode() - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
hashCode() - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Vertex
hashCode() - Method in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
hashCode() - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement: hashCode method override should be properly implemented for any extended class, otherwise it will be based on label hashCode
hashCode() - Method in class org.deeplearning4j.models.word2vec.VocabWord
hashCode() - Method in class org.deeplearning4j.models.word2vec.VocabWork
hashCode() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.
hashCode() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyWord
hasMoreLines() - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.AsyncSequencer
hasMoreSequences() - Method in interface org.deeplearning4j.models.sequencevectors.interfaces.SequenceIterator
hasMoreSequences() - Method in class org.deeplearning4j.models.sequencevectors.iterators.AbstractSequenceIterator: Checks, if there's more sequences available
hasMoreSequences() - Method in class org.deeplearning4j.models.sequencevectors.iterators.FilteredSequenceIterator: Checks, if there's any more sequences left in underlying iterator
hasMoreSequences() - Method in class org.deeplearning4j.models.sequencevectors.iterators.SynchronizedSequenceIterator: Checks, if there's any more sequences left in data source
hasMoreTokens() - Method in class org.deeplearning4j.text.tokenization.tokenizer.BertWordPieceTokenizer
hasMoreTokens() - Method in class org.deeplearning4j.text.tokenization.tokenizer.DefaultStreamTokenizer: Checks, if any prebuffered tokens left, otherswise checks underlying stream
hasMoreTokens() - Method in class org.deeplearning4j.text.tokenization.tokenizer.DefaultTokenizer
hasMoreTokens() - Method in class org.deeplearning4j.text.tokenization.tokenizer.NGramTokenizer
hasMoreTokens() - Method in interface org.deeplearning4j.text.tokenization.tokenizer.Tokenizer: An iterator for tracking whether more tokens are left in the iterator not
hasNext() - Method in class org.deeplearning4j.iterator.BertIterator
hasNext() - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
hasNext() - Method in interface org.deeplearning4j.iterator.LabeledPairSentenceProvider: Are there more sentences/documents available?
hasNext() - Method in interface org.deeplearning4j.iterator.LabeledSentenceProvider: Are there more sentences/documents available?
hasNext() - Method in class org.deeplearning4j.iterator.provider.CollectionLabeledPairSentenceProvider
hasNext() - Method in class org.deeplearning4j.iterator.provider.CollectionLabeledSentenceProvider
hasNext() - Method in class org.deeplearning4j.iterator.provider.FileLabeledSentenceProvider
hasNext() - Method in class org.deeplearning4j.iterator.provider.LabelAwareConverter
hasNext() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.WeightIterator
hasNext() - Method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.BinaryReader
hasNext() - Method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.CSVReader
hasNext() - Method in interface org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.Reader
hasNext() - Method in interface org.deeplearning4j.models.sequencevectors.graph.walkers.GraphWalker: This method checks, if walker has any more sequences left in queue
hasNext() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker
hasNext() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker: This method checks, if walker has any more sequences left in queue
hasNext() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker: This method checks, if walker has any more sequences left in queue
hasNext() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.WeightedWalker: This method checks, if walker has any more sequences left in queue
hasNext() - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.BasicTransformerIterator
hasNext() - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.ParallelTransformerIterator
hasNext() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator: Returns true if the iteration has more elements.
hasNext() - Method in class org.deeplearning4j.text.documentiterator.AsyncLabelAwareIterator
hasNext() - Method in class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator
hasNext() - Method in interface org.deeplearning4j.text.documentiterator.DocumentIterator: Whether there are anymore documents in the iterator
hasNext() - Method in class org.deeplearning4j.text.documentiterator.FileDocumentIterator
hasNext() - Method in class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator
hasNext() - Method in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator
hasNext() - Method in class org.deeplearning4j.text.documentiterator.interoperability.DocumentIteratorConverter
hasNext() - Method in class org.deeplearning4j.text.documentiterator.LabelAwareIteratorWrapper
hasNext() - Method in class org.deeplearning4j.text.documentiterator.SimpleLabelAwareIterator
hasNext() - Method in class org.deeplearning4j.text.sentenceiterator.AggregatingSentenceIterator
hasNext() - Method in class org.deeplearning4j.text.sentenceiterator.BasicLineIterator
hasNext() - Method in class org.deeplearning4j.text.sentenceiterator.BasicResultSetIterator
hasNext() - Method in class org.deeplearning4j.text.sentenceiterator.CollectionSentenceIterator
hasNext() - Method in class org.deeplearning4j.text.sentenceiterator.FileSentenceIterator
hasNext() - Method in class org.deeplearning4j.text.sentenceiterator.interoperability.SentenceIteratorConverter
hasNext() - Method in class org.deeplearning4j.text.sentenceiterator.LineSentenceIterator
hasNext() - Method in class org.deeplearning4j.text.sentenceiterator.MutipleEpochsSentenceIterator
hasNext() - Method in class org.deeplearning4j.text.sentenceiterator.PrefetchingSentenceIterator: Deprecated.
hasNext() - Method in interface org.deeplearning4j.text.sentenceiterator.SentenceIterator: Same idea as Iterator
hasNext() - Method in class org.deeplearning4j.text.sentenceiterator.StreamLineIterator
hasNext() - Method in class org.deeplearning4j.text.sentenceiterator.SynchronizedSentenceIterator
hasNextDocument() - Method in class org.deeplearning4j.text.documentiterator.AsyncLabelAwareIterator
hasNextDocument() - Method in class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator: This method checks, if there's more LabelledDocuments
hasNextDocument() - Method in class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator
hasNextDocument() - Method in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator
hasNextDocument() - Method in class org.deeplearning4j.text.documentiterator.interoperability.DocumentIteratorConverter
hasNextDocument() - Method in interface org.deeplearning4j.text.documentiterator.LabelAwareIterator
hasNextDocument() - Method in class org.deeplearning4j.text.documentiterator.LabelAwareIteratorWrapper
hasNextDocument() - Method in class org.deeplearning4j.text.documentiterator.SimpleLabelAwareIterator: This method checks, if there's more LabelledDocuments in underlying iterator
hasNextDocument() - Method in class org.deeplearning4j.text.sentenceiterator.interoperability.SentenceIteratorConverter
hasToken(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache: Checks, if specified label already exists in vocabulary.
hasToken(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.
hasToken(String) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache: Returns whether the cache contains this token or not
hasWord(String) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors: Returns true if the model has this word in the vocab
hasWord(String) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl: Returns true if the model has this word in the vocab
hasWord(String) - Method in class org.deeplearning4j.models.fasttext.FastText
hasWord(String) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec: Returns true if the model has this word in the vocab
HS - org.deeplearning4j.models.fasttext.FTLossFunctions
Huffman - Class in org.deeplearning4j.models.word2vec: Huffman tree builder
Huffman(Collection<? extends SequenceElement>) - Constructor for class org.deeplearning4j.models.word2vec.Huffman
Huffman(Collection<? extends SequenceElement>, int) - Constructor for class org.deeplearning4j.models.word2vec.Huffman: Builds Huffman tree for collection of SequenceElements, with defined CODE_LENGTH Default CODE_LENGTH is 40
HuffmanNode - Class in org.deeplearning4j.models.word2vec.wordstore
HuffmanNode() - Constructor for class org.deeplearning4j.models.word2vec.wordstore.HuffmanNode
HuffmanNode(byte[], int[], int, byte) - Constructor for class org.deeplearning4j.models.word2vec.wordstore.HuffmanNode
hugeModelExpected - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
hugeModelExpected - Variable in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache.Builder
hugeModelExpected(boolean) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache.Builder
hugeModelExpected(boolean) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder.Builder: With this argument set to true, you'll have your vocab scanned for low-freq words periodically.

I

idxCounter - Variable in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.BinaryReader
IGraph<V extends SequenceElement,E extends Number> - Interface in org.deeplearning4j.models.sequencevectors.graph.primitives
importVocabulary(VocabCache<T>) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache: This method imports all elements from VocabCache passed as argument If element already exists,
importVocabulary(VocabCache<VocabWord>) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.
importVocabulary(VocabCache<T>) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache: imports vocabulary
increaseElementFrequency(int) - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement: Increases element frequency counter by argument
increment() - Method in class org.deeplearning4j.models.word2vec.VocabWork
incrementCount() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyWord
incrementDocCount(String, long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache: Increment number of documents the label was observed in Please note: this method is NOT thread-safe
incrementDocCount(String, long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.
incrementDocCount(String, long) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache: Increment the document count
incrementElementFrequency() - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement: Increases element frequency counter by 1
incrementRetentionStep() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyWord
incrementSequencesCount() - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement: Increments document count by one
incrementSequencesCount(long) - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement: Increments document count by specified value
incrementTotalDocCount() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache: Increment total number of documents observed by 1
incrementTotalDocCount() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.
incrementTotalDocCount() - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache: Increment the doc count
incrementTotalDocCount(long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache: Increment total number of documents observed by specified value
incrementTotalDocCount(long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.
incrementTotalDocCount(long) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache: Increment the doc count
incrementWordCount(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache: Increment frequency for specified label by 1
incrementWordCount(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.

Increment the count for the given word
incrementWordCount(String) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache: Increment the count for the given word
incrementWordCount(String, int) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache: Increment frequency for specified label by specified value
incrementWordCount(String, int) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.

Increment the count for the given word by the amount increment
incrementWordCount(String, int) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache: Increment the count for the given word by the amount increment
incrementWordCounter(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder: Increments by one number of occurrences of the word in corpus
index - Variable in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
index - Variable in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
indexOf(String) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors
indexOf(String) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
indexOf(String) - Method in class org.deeplearning4j.models.fasttext.FastText
indexOf(String) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
indexOf(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache: Returns Huffman index for specified label
indexOf(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.

Returns the index of a given word
indexOf(String) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache: Returns the index of a given word
indexOf(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder: This method returns index of word in sorted list.
indexOf(String) - Method in class org.deeplearning4j.text.documentiterator.LabelsSource
INDICES_MASK - org.deeplearning4j.iterator.BertIterator.FeatureArrays
INDICES_MASK_SEGMENTID - org.deeplearning4j.iterator.BertIterator.FeatureArrays
InferenceCallable(VocabCache<VocabWord>, TokenizerFactory, LabelledDocument) - Constructor for class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.InferenceCallable
InferenceCallable(VocabCache<VocabWord>, TokenizerFactory, LabelledDocument, AtomicLong) - Constructor for class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.InferenceCallable
inferenceExecutor - Variable in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
inferenceLocker - Variable in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
inferSequence(Sequence<T>, long, double, double, int) - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW: This method does training on previously unseen paragraph, and returns inferred vector
inferSequence(Sequence<T>, long, double, double, int) - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM: This method does training on previously unseen paragraph, and returns inferred vector
inferSequence(Sequence<T>, long, double, double, int) - Method in interface org.deeplearning4j.models.embeddings.learning.SequenceLearningAlgorithm: This method does training on previously unseen paragraph, and returns inferred vector
inferVector(Collection<Vertex<V>>) - Method in class org.deeplearning4j.models.node2vec.Node2Vec: Deprecated.
inferVector(List<VocabWord>) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors: This method calculates inferred vector for given list of words, with default parameters for learning rate and iterations
inferVector(List<VocabWord>, double, double, int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors: This method calculates inferred vector for given document
inferVector(String) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors: This method calculates inferred vector for given text, with default parameters for learning rate and iterations
inferVector(String, double, double, int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors: This method calculates inferred vector for given text
inferVector(LabelledDocument) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors: This method calculates inferred vector for given document, with default parameters for learning rate and iterations
inferVector(LabelledDocument, double, double, int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors: This method calculates inferred vector for given document
inferVectorBatched(String) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors: This method implements batched inference, based on Java Future parallelism model.
inferVectorBatched(List<String>) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors: This method does inference on a given List<String>
inferVectorBatched(LabelledDocument) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors: This method implements batched inference, based on Java Future parallelism model.
init - Variable in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
init() - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec: Init method validates configuration defined using
init(WeightLookupTable<T>) - Method in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
init(WeightLookupTable<T>) - Method in interface org.deeplearning4j.models.embeddings.reader.ModelUtils: This method implementations should accept given lookup table, and use them in further calls to interface methods
initAdaGrad() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
initExpTable() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
initialize() - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer: This method handles required initialization for GraphTransformer
initInference() - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
initLearners() - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors
initNegative() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
InMemoryLookupCache - Class in org.deeplearning4j.models.word2vec.wordstore.inmemory: Deprecated.
InMemoryLookupCache() - Constructor for class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.
InMemoryLookupCache(boolean) - Constructor for class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.
InMemoryLookupTable<T extends SequenceElement> - Class in org.deeplearning4j.models.embeddings.inmemory: Default word lookup table
InMemoryLookupTable() - Constructor for class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
InMemoryLookupTable(VocabCache<T>, int, boolean, double, Random, double) - Constructor for class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
InMemoryLookupTable(VocabCache<T>, int, boolean, double, Random, double, boolean) - Constructor for class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
InMemoryLookupTable.Builder<T extends SequenceElement> - Class in org.deeplearning4j.models.embeddings.inmemory
InMemoryLookupTable.WeightIterator - Class in org.deeplearning4j.models.embeddings.inmemory
INPUT_FILE - org.deeplearning4j.models.fasttext.FTOptions
inputColumns() - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
inputColumns() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
InputHomogenization - Class in org.deeplearning4j.text.inputsanitation
InputHomogenization(String) - Constructor for class org.deeplearning4j.text.inputsanitation.InputHomogenization: Input text to applyTransformToOrigin
InputHomogenization(String, boolean) - Constructor for class org.deeplearning4j.text.inputsanitation.InputHomogenization
InputHomogenization(String, List<String>) - Constructor for class org.deeplearning4j.text.inputsanitation.InputHomogenization
InputStreamCreator - Interface in org.deeplearning4j.models.word2vec
intersectModel - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors
intersectModel(SequenceVectors<T>, boolean) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
intersectModel(SequenceVectors, boolean) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
intersectVectors - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
InvertedIndex<T extends SequenceElement> - Interface in org.deeplearning4j.text.invertedindex
isBeginLabel() - Method in class org.deeplearning4j.text.movingwindow.Window
isChineseCharacter(int) - Static method in class org.deeplearning4j.text.tokenization.tokenizer.preprocessor.BertWordPiecePreProcessor
isControlCharacter(int) - Static method in class org.deeplearning4j.text.tokenization.tokenizer.preprocessor.BertWordPiecePreProcessor
isEarlyTerminationHit() - Method in interface org.deeplearning4j.models.embeddings.learning.ElementsLearningAlgorithm
isEarlyTerminationHit() - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
isEarlyTerminationHit() - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram: SkipGram has no reasons for early termination ever.
isEarlyTerminationHit() - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW: DBOW has no reasons for early termination
isEarlyTerminationHit() - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
isEarlyTerminationHit() - Method in interface org.deeplearning4j.models.embeddings.learning.SequenceLearningAlgorithm
isEmpty() - Method in class org.deeplearning4j.models.sequencevectors.sequence.Sequence: Checks, if sequence is empty
isEndLabel() - Method in class org.deeplearning4j.text.movingwindow.Window
isLabel - Variable in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
isLabel() - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement: Returns whether this element was defined as label, or no
isLabelEnabled() - Method in interface org.deeplearning4j.models.sequencevectors.graph.walkers.GraphWalker
isLabelEnabled() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker
isLabelEnabled() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker
isLabelEnabled() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker
isLabelEnabled() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.WeightedWalker
isLocked - Variable in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
isParallel - Variable in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
isParallel - Variable in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
isParallel - Variable in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
isStem() - Method in class org.deeplearning4j.models.word2vec.VocabWork
isUseAdaGrad() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
isWhiteSpace(int) - Static method in class org.deeplearning4j.text.tokenization.tokenizer.preprocessor.BertWordPiecePreProcessor
iterate(SequenceIterator<VocabWord>) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder: This method used to feed SequenceIterator, that contains training corpus, into ParagraphVectors
iterate(SequenceIterator<VocabWord>) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder: This method used to feed SequenceIterator, that contains training corpus, into ParagraphVectors
iterate(SequenceIterator<T>) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder: This method defines SequenceIterator to be used for model building
iterate(SequenceIterator<V>) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder: Deprecated.
iterate(DocumentIterator) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder: This method used to feed DocumentIterator, that contains training corpus, into ParagraphVectors
iterate(DocumentIterator) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
iterate(LabelAwareDocumentIterator) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder: This method used to feed LabelAwareDocumentIterator, that contains training corpus, into ParagraphVectors
iterate(LabelAwareIterator) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder: This method used to feed LabelAwareIterator, that contains training corpus, into ParagraphVectors
iterate(LabelAwareIterator) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder: This method used to feed LabelAwareIterator, that is usually used
iterate(LabelAwareSentenceIterator) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder: This method used to feed LabelAwareSentenceIterator, that contains training corpus, into ParagraphVectors
iterate(SentenceIterator) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder: This method used to feed SentenceIterator, that contains training corpus, into ParagraphVectors
iterate(SentenceIterator) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder: This method used to feed SentenceIterator, that contains training corpus, into ParagraphVectors
iterate(T, T) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable: Deprecated.
iterate(T, T) - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable: Deprecated.
iterateSample(List<BatchItem<T>>) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
iterateSample(List<BatchItem<T>>) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
iterateSample(T, int[], boolean[], AtomicLong, double, boolean, int, boolean, INDArray) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
iterateSample(T, T, AtomicLong, double) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable: Deprecated.
iterateSample(T, T, AtomicLong, double) - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable: Deprecated.
iterateSample(T, T, AtomicLong, double, boolean, INDArray) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
ITERATION - org.deeplearning4j.models.sequencevectors.enums.ListenerEvent
iterations - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
iterations(int) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder: Deprecated.
iterations(int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder: This method defines number of iterations done for each mini-batch during training
iterations(int) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder: This method defines how much iterations should be done over batched sequences.
iterations(int) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder: This method defines number of iterations done for each mini-batch during training
iterator - Variable in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
iterator - Variable in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
iterator - Variable in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
iterator - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
iterator - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors
iterator - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.BasicTransformerIterator
iterator - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer.Builder
iterator - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer
iterator() - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer
iterator() - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer
iterator() - Method in class org.deeplearning4j.text.sentenceiterator.BasicLineIterator: Implentation for Iterable interface.
iterator(DocumentIterator) - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer.Builder
iterator(LabelAwareIterator) - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer.Builder
iterator(SentenceIterator) - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer.Builder

J

jsonSerializable() - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
jsonSerializable() - Method in class org.deeplearning4j.models.fasttext.FastText
jsonSerializable() - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec

L

label - Variable in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
LabelAwareConverter - Class in org.deeplearning4j.iterator.provider
LabelAwareConverter(LabelAwareIterator, List<String>) - Constructor for class org.deeplearning4j.iterator.provider.LabelAwareConverter
LabelAwareDocumentIterator - Interface in org.deeplearning4j.text.documentiterator
LabelAwareFileSentenceIterator - Class in org.deeplearning4j.text.sentenceiterator.labelaware
LabelAwareFileSentenceIterator(File) - Constructor for class org.deeplearning4j.text.sentenceiterator.labelaware.LabelAwareFileSentenceIterator
LabelAwareFileSentenceIterator(SentencePreProcessor, File) - Constructor for class org.deeplearning4j.text.sentenceiterator.labelaware.LabelAwareFileSentenceIterator: Takes a single file or directory
labelAwareIterator - Variable in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
labelAwareIterator - Variable in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
labelAwareIterator - Variable in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
LabelAwareIterator - Interface in org.deeplearning4j.text.documentiterator
LabelAwareIteratorWrapper - Class in org.deeplearning4j.text.documentiterator
LabelAwareIteratorWrapper(LabelAwareIterator, LabelsSource) - Constructor for class org.deeplearning4j.text.documentiterator.LabelAwareIteratorWrapper
LabelAwareSentenceIterator - Interface in org.deeplearning4j.text.sentenceiterator.labelaware
LabeledPairSentenceProvider - Interface in org.deeplearning4j.iterator
LabeledSentenceProvider - Interface in org.deeplearning4j.iterator
LabelledDocument - Class in org.deeplearning4j.text.documentiterator
LabelledDocument() - Constructor for class org.deeplearning4j.text.documentiterator.LabelledDocument
labels - Variable in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
labels - Variable in class org.deeplearning4j.text.documentiterator.SimpleLabelAwareIterator
labels(List<String>) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder: Deprecated.
labelsList - Variable in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
labelsMatrix - Variable in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
labelsProvider - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer.Builder
labelsProvider - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer
LabelsProvider<T extends SequenceElement> - Interface in org.deeplearning4j.text.labels
labelsSource - Variable in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
labelsSource - Variable in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
labelsSource - Variable in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
labelsSource - Variable in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
labelsSource - Variable in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
labelsSource - Variable in class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator
labelsSource - Variable in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator
labelsSource(LabelsSource) - Method in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
labelsSource(LabelsSource) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder: This method attaches pre-defined labels source to ParagraphVectors
LabelsSource - Class in org.deeplearning4j.text.documentiterator
LabelsSource() - Constructor for class org.deeplearning4j.text.documentiterator.LabelsSource
LabelsSource(String) - Constructor for class org.deeplearning4j.text.documentiterator.LabelsSource: Build LabelsSource using string template.
LabelsSource(List<String>) - Constructor for class org.deeplearning4j.text.documentiterator.LabelsSource: Build LabelsSource using externally defined list of string labels.
layerSize - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
layerSize - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
layerSize() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
layerSize() - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable: The layer size for the lookup table
layerSize(int) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder: Deprecated.
layerSize(int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder: This method defines number of dimensions for output vectors
layerSize(int) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder: This method defines number of dimensions for outcome vectors.
layerSize(int) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder: This method defines number of dimensions for output vectors
learningRate - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
learningRate - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
learningRate(double) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder: Deprecated.
learningRate(double) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder: This method defines initial learning rate for model training
learningRate(double) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder: This method defines initial learning rate.
learningRate(double) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder: This method defines initial learning rate for model training
learningRateDecayWords - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
learningRateDecayWords - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
learnSequence(Sequence<T>, AtomicLong, double) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram: Learns sequence using SkipGram algorithm
learnSequence(Sequence<T>, AtomicLong, double, BatchSequences<T>) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
learnSequence(Sequence<T>, AtomicLong, double, BatchSequences<T>) - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
learnSequence(Sequence<T>, AtomicLong, double) - Method in interface org.deeplearning4j.models.embeddings.learning.ElementsLearningAlgorithm: This method does training over the sequence of elements passed into it
learnSequence(Sequence<T>, AtomicLong, double) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
learnSequence(Sequence<T>, AtomicLong, double, BatchSequences<T>) - Method in interface org.deeplearning4j.models.embeddings.learning.ElementsLearningAlgorithm
learnSequence(Sequence<T>, AtomicLong, double, BatchSequences<T>) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
learnSequence(Sequence<T>, AtomicLong, double, BatchSequences<T>) - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
learnSequence(Sequence<T>, AtomicLong, double, BatchSequences<T>) - Method in interface org.deeplearning4j.models.embeddings.learning.SequenceLearningAlgorithm: This method does training over the sequence of elements passed into it
lengthHandling - Variable in class org.deeplearning4j.iterator.BertIterator.Builder
lengthHandling - Variable in class org.deeplearning4j.iterator.BertIterator
lengthHandling(BertIterator.LengthHandling, int) - Method in class org.deeplearning4j.iterator.BertIterator.Builder: Specifies how the sequence length of the output data should be handled.
limitVocabularySize(int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder: This method sets vocabulary limit during construction.
limitVocabularySize(int) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder: This method sets vocabulary limit during construction.
limitVocabularySize(int) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder: This method sets vocabulary limit during construction.
LINE - org.deeplearning4j.models.sequencevectors.enums.ListenerEvent
LineSentenceIterator - Class in org.deeplearning4j.text.sentenceiterator
LineSentenceIterator(File) - Constructor for class org.deeplearning4j.text.sentenceiterator.LineSentenceIterator
ListenerEvent - Enum in org.deeplearning4j.models.sequencevectors.enums
listToArray(List<Byte>) - Static method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
listToArray(List<Integer>, int) - Static method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
load(InputStream) - Static method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.

Load a look up cache from an input stream delimited by \n
loadBinaryModel(String) - Method in class org.deeplearning4j.models.fasttext.FastText
loadCodes(int[]) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable: Loads the co-occurrences for the given codes
loadCodes(int[]) - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable: Loads the co-occurrences for the given codes
loadFullModel(String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: Deprecated.
Use readWord2VecModel() or loadStaticModel() method instead
loadIterator() - Method in class org.deeplearning4j.models.fasttext.FastText
loadPretrainedVectors(File) - Method in class org.deeplearning4j.models.fasttext.FastText
loadSingleSentence(String) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator: Generally used post training time to load a single sentence for predictions
loadStaticModel(File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: This method restores previously saved w2v model.
loadStaticModel(InputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: This method restores previously saved w2v model.
loadTxt(File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
loadTxt(InputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: Loads an in memory cache from the given input stream (sets syn0 and the vocab).
loadTxtVectors(InputStream, boolean) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: Deprecated.
Use readWord2VecModel() or loadStaticModel() method instead
loadTxtVectors(File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: Deprecated.
Use WordVectorSerializer.loadTxt(InputStream)
loadVocab() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache: Deserialize vocabulary from specified path
loadVocab() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.
loadVocab() - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache: Load vocab
loadVocab(File, Charset) - Static method in class org.deeplearning4j.text.tokenization.tokenizerfactory.BertWordPieceTokenizerFactory
loadVocab(InputStream, Charset) - Static method in class org.deeplearning4j.text.tokenization.tokenizerfactory.BertWordPieceTokenizerFactory: The expected format is a \n seperated list of tokens for vocab entries foo bar baz the tokens should not have any whitespace on either of their sides
loadWeightsInto(INDArray) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
loadWeightsInto(INDArray) - Method in class org.deeplearning4j.models.fasttext.FastText
loadWeightsInto(INDArray) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
lockFactor - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
lockFactor - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors
log - Static variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors
log - Static variable in class org.deeplearning4j.models.sequencevectors.serialization.AbstractElementFactory
log - Static variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer
log - Static variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer
log - Static variable in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor
log - Static variable in class org.deeplearning4j.text.sentenceiterator.interoperability.SentenceIteratorConverter
log - Static variable in class org.deeplearning4j.text.sentenceiterator.PrefetchingSentenceIterator: Deprecated.
log - Static variable in class org.deeplearning4j.text.tokenization.tokenizer.DefaultStreamTokenizer
logger - Static variable in class org.deeplearning4j.models.sequencevectors.listeners.ScoreListener: Deprecated.
logger - Static variable in class org.deeplearning4j.models.sequencevectors.listeners.SimilarityListener
logger - Variable in class org.deeplearning4j.text.sentenceiterator.StreamLineIterator
lookupTable - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
lookupTable - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
lookupTable - Variable in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
lookupTable - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
lookupTable - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
lookupTable() - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors: Lookup table for the vectors
lookupTable() - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
lookupTable() - Method in class org.deeplearning4j.models.fasttext.FastText
lookupTable() - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec: Lookup table for the vectors PLEASE NOTE: This method is not available in this implementation.
lookupTable(WeightLookupTable<VocabWord>) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder: This method allows to define external WeightLookupTable to be used
lookupTable(WeightLookupTable<VocabWord>) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder: This method allows to define external WeightLookupTable to be used
lookupTable(WeightLookupTable<T>) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder: You can pass externally built WeightLookupTable, containing model weights and vocabulary.
lookupTable(WeightLookupTable<V>) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder: Deprecated.
LowCasePreProcessor - Class in org.deeplearning4j.text.tokenization.tokenizer.preprocessor
LowCasePreProcessor() - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.preprocessor.LowCasePreProcessor
lowerCase - Variable in class org.deeplearning4j.text.tokenization.tokenizer.preprocessor.BertWordPiecePreProcessor
lr - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
lr - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
lr(double) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder: Deprecated.

M

makeTable(int, double) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
mapper() - Static method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
markAsLabel(boolean) - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement: This method specifies, whether this element should be treated as label for some sequence/document or not.
masker - Variable in class org.deeplearning4j.iterator.BertIterator.Builder
masker - Variable in class org.deeplearning4j.iterator.BertIterator
masker(BertSequenceMasker) - Method in class org.deeplearning4j.iterator.BertIterator.Builder: Used only for unsupervised training (i.e., when task is set to BertIterator.Task.UNSUPERVISED for learning a masked language model.
maskProb - Variable in class org.deeplearning4j.iterator.bert.BertMaskedLMMasker
maskSequence(List<String>, String, List<String>) - Method in class org.deeplearning4j.iterator.bert.BertMaskedLMMasker
maskSequence(List<String>, String, List<String>) - Method in interface org.deeplearning4j.iterator.bert.BertSequenceMasker
maskToken - Variable in class org.deeplearning4j.iterator.BertIterator.Builder
maskToken - Variable in class org.deeplearning4j.iterator.BertIterator
maskToken(String) - Method in class org.deeplearning4j.iterator.BertIterator.Builder: Used only for unsupervised training (i.e., when task is set to BertIterator.Task.UNSUPERVISED for learning a masked language model.
maskTokenProb - Variable in class org.deeplearning4j.iterator.bert.BertMaskedLMMasker
matchesAnyStopWord(List<String>, String) - Static method in class org.deeplearning4j.text.movingwindow.Util
MAX_CODE_LENGTH - Variable in class org.deeplearning4j.models.word2vec.Huffman
MAX_EXP - Static variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
MAX_EXP - Static variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
MAX_EXP - Static variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
MAX_POPULARITY - org.deeplearning4j.models.sequencevectors.graph.enums.SamplingMode
MAXIMUM - org.deeplearning4j.models.sequencevectors.graph.enums.PopularityMode
maxSentenceLength(int) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder: Maximum sentence/document length.
maxTokens - Variable in class org.deeplearning4j.iterator.BertIterator.Builder
maxTokens - Variable in class org.deeplearning4j.iterator.BertIterator
MEDIAN_POPULARITY - org.deeplearning4j.models.sequencevectors.graph.enums.SamplingMode
MIN_POPULARITY - org.deeplearning4j.models.sequencevectors.graph.enums.SamplingMode
minElementFrequency - Variable in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache.Builder
minElementFrequency(int) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache.Builder
miniBatches() - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex: Iterates over mini batches
minibatchSize - Variable in class org.deeplearning4j.iterator.BertIterator.Builder
minibatchSize - Variable in class org.deeplearning4j.iterator.BertIterator
minibatchSize(int) - Method in class org.deeplearning4j.iterator.BertIterator.Builder: Minibatch size to use (number of examples to train on for each iteration) See also: BertIterator.Builder.padMinibatches
minibatchSize(int) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder: Minibatch size to use for the DataSetIterator
MINIMUM - org.deeplearning4j.models.sequencevectors.graph.enums.PopularityMode
minLearningRate - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
minLearningRate - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
minLearningRate(double) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder: Deprecated.
minLearningRate(double) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder: This method defines minimal learning rate value for training
minLearningRate(double) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder: This method defines minimum learning rate after decay being applied.
minLearningRate(double) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder: This method defines minimal learning rate value for training
minWordFrequency - Variable in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
minWordFrequency - Variable in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
minWordFrequency - Variable in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
minWordFrequency - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
minWordFrequency - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
minWordFrequency(int) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder: Deprecated.
minWordFrequency(int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder: This method defines minimal word frequency in training corpus.
minWordFrequency(int) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder: This method defines minimal element frequency for elements found in the training corpus.
minWordFrequency(int) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder: This method defines minimal word frequency in training corpus.
minWordFrequency(int) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder.Builder
modelUtils - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
modelUtils - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
modelUtils(ModelUtils<VocabWord>) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder: Sets ModelUtils that gonna be used as provider for utility methods: similarity(), wordsNearest(), accuracy(), etc
modelUtils(ModelUtils<VocabWord>) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder: Sets ModelUtils that gonna be used as provider for utility methods: similarity(), wordsNearest(), accuracy(), etc
modelUtils(ModelUtils<T>) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder: ModelUtils implementation, that will be used to access model.
modelUtils(ModelUtils<V>) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder: Deprecated.
ModelUtils<T extends SequenceElement> - Interface in org.deeplearning4j.models.embeddings.reader
MutipleEpochsSentenceIterator - Class in org.deeplearning4j.text.sentenceiterator
MutipleEpochsSentenceIterator(SentenceIterator, int) - Constructor for class org.deeplearning4j.text.sentenceiterator.MutipleEpochsSentenceIterator

N

NEAREST - org.deeplearning4j.models.sequencevectors.graph.enums.WalkMode
nearestLabels(String, int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors: This method returns top N labels nearest to specified text
nearestLabels(Collection<VocabWord>, int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors: This method returns top N labels nearest to specified set of vocab words
nearestLabels(LabelledDocument, int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors: This method returns top N labels nearest to specified document
nearestLabels(INDArray, int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors: This method returns top N labels nearest to specified features vector
NearestVertexWalker<V extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.graph.walkers.impl
NearestVertexWalker() - Constructor for class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker
NearestVertexWalker.Builder<V extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.graph.walkers.impl
NearestVertexWalker.VertexComparator<V extends SequenceElement,E extends Number> - Class in org.deeplearning4j.models.sequencevectors.graph.walkers.impl
negative - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
negative - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
negative - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
negative - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
negative - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
negative - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
negative - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
negative - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
negative(double) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
negativeSample(double) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder: Deprecated.
negativeSample(double) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder: This method defines whether negative sampling should be used or not PLEASE NOTE: If you're going to use negative sampling, you might want to disable HierarchicSoftmax, which is enabled by default Default value: 0
negativeSample(double) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder: This method defines negative sampling value for skip-gram algorithm.
negativeSample(double) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder: This method defines whether negative sampling should be used or not PLEASE NOTE: If you're going to use negative sampling, you might want to disable HierarchicSoftmax, which is enabled by default Default value: 0
next() - Method in class org.deeplearning4j.iterator.BertIterator
next() - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
next() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.WeightIterator
next() - Method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.BinaryReader
next() - Method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.CSVReader
next() - Method in interface org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.Reader
next() - Method in interface org.deeplearning4j.models.sequencevectors.graph.walkers.GraphWalker: This method returns next walk sequence from this graph
next() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker
next() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker: This method returns next walk sequence from this graph
next() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker: This method returns next walk sequence from this graph
next() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.WeightedWalker: This method returns next walk sequence from this graph
next() - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.BasicTransformerIterator
next() - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.ParallelTransformerIterator
next() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator: Returns the next element in the iteration.
next() - Method in class org.deeplearning4j.text.documentiterator.AsyncLabelAwareIterator
next() - Method in class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator
next() - Method in class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator
next() - Method in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator
next() - Method in class org.deeplearning4j.text.documentiterator.interoperability.DocumentIteratorConverter
next() - Method in class org.deeplearning4j.text.documentiterator.LabelAwareIteratorWrapper
next() - Method in class org.deeplearning4j.text.documentiterator.SimpleLabelAwareIterator
next() - Method in class org.deeplearning4j.text.sentenceiterator.interoperability.SentenceIteratorConverter
next(int) - Method in class org.deeplearning4j.iterator.BertIterator
next(int) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
next(int) - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator: Like the standard next method but allows a customizable number of examples returned
nextDocument() - Method in class org.deeplearning4j.text.documentiterator.AsyncLabelAwareIterator
nextDocument() - Method in class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator: This method returns next LabelledDocument
nextDocument() - Method in interface org.deeplearning4j.text.documentiterator.DocumentIterator: Get the next document
nextDocument() - Method in class org.deeplearning4j.text.documentiterator.FileDocumentIterator
nextDocument() - Method in class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator
nextDocument() - Method in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator
nextDocument() - Method in class org.deeplearning4j.text.documentiterator.interoperability.DocumentIteratorConverter
nextDocument() - Method in interface org.deeplearning4j.text.documentiterator.LabelAwareIterator
nextDocument() - Method in class org.deeplearning4j.text.documentiterator.LabelAwareIteratorWrapper
nextDocument() - Method in class org.deeplearning4j.text.documentiterator.SimpleLabelAwareIterator: This method returns next LabelledDocument from underlying iterator
nextDocument() - Method in class org.deeplearning4j.text.sentenceiterator.interoperability.SentenceIteratorConverter
nextLabel() - Method in class org.deeplearning4j.text.documentiterator.LabelsSource: Returns next label.
nextLabel() - Method in interface org.deeplearning4j.text.labels.LabelsProvider
nextSentence() - Method in interface org.deeplearning4j.iterator.LabeledSentenceProvider
nextSentence() - Method in class org.deeplearning4j.iterator.provider.CollectionLabeledSentenceProvider
nextSentence() - Method in class org.deeplearning4j.iterator.provider.FileLabeledSentenceProvider
nextSentence() - Method in class org.deeplearning4j.iterator.provider.LabelAwareConverter
nextSentence() - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.AsyncSequencer
nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.AggregatingSentenceIterator
nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.BasicLineIterator
nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.BasicResultSetIterator
nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.CollectionSentenceIterator
nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.FileSentenceIterator
nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.LineSentenceIterator
nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.MutipleEpochsSentenceIterator
nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.PrefetchingSentenceIterator: Deprecated.
nextSentence() - Method in interface org.deeplearning4j.text.sentenceiterator.SentenceIterator: Gets the next sentence or null if there's nothing left (Do yourself a favor and check hasNext() )
nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.StreamLineIterator
nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.SynchronizedSentenceIterator
nextSentencePair() - Method in interface org.deeplearning4j.iterator.LabeledPairSentenceProvider
nextSentencePair() - Method in class org.deeplearning4j.iterator.provider.CollectionLabeledPairSentenceProvider
nextSequence() - Method in interface org.deeplearning4j.models.sequencevectors.interfaces.SequenceIterator
nextSequence() - Method in class org.deeplearning4j.models.sequencevectors.iterators.AbstractSequenceIterator: Returns next sequence out of iterator
nextSequence() - Method in class org.deeplearning4j.models.sequencevectors.iterators.FilteredSequenceIterator: Returns filtered sequence, that contains sequence elements from vocabulary only.
nextSequence() - Method in class org.deeplearning4j.models.sequencevectors.iterators.SynchronizedSequenceIterator: Returns next sequence from data source
nextToken() - Method in class org.deeplearning4j.text.tokenization.tokenizer.BertWordPieceTokenizer
nextToken() - Method in class org.deeplearning4j.text.tokenization.tokenizer.DefaultStreamTokenizer: This method returns next token from prebuffered list of tokens or underlying InputStream
nextToken() - Method in class org.deeplearning4j.text.tokenization.tokenizer.DefaultTokenizer
nextToken() - Method in class org.deeplearning4j.text.tokenization.tokenizer.NGramTokenizer
nextToken() - Method in interface org.deeplearning4j.text.tokenization.tokenizer.Tokenizer: The next token (word usually) in the string
nextWord - Variable in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.BinaryReader
NGramTokenizer - Class in org.deeplearning4j.text.tokenization.tokenizer
NGramTokenizer(Tokenizer, Integer, Integer) - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.NGramTokenizer
NGramTokenizerFactory - Class in org.deeplearning4j.text.tokenization.tokenizerfactory
NGramTokenizerFactory(TokenizerFactory, Integer, Integer) - Constructor for class org.deeplearning4j.text.tokenization.tokenizerfactory.NGramTokenizerFactory
Node2Vec<V extends SequenceElement,E extends Number> - Class in org.deeplearning4j.models.node2vec: Deprecated.
Node2Vec() - Constructor for class org.deeplearning4j.models.node2vec.Node2Vec: Deprecated.
Node2Vec.Builder<V extends SequenceElement,E extends Number> - Class in org.deeplearning4j.models.node2vec: Deprecated.
NodeComparator() - Constructor for class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker.NodeComparator
noEdgeHandling - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker.Builder
noEdgeHandling - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker
NoEdgeHandling - Enum in org.deeplearning4j.models.sequencevectors.graph.enums
NoEdgesException - Exception in org.deeplearning4j.models.sequencevectors.graph.exception
NoEdgesException() - Constructor for exception org.deeplearning4j.models.sequencevectors.graph.exception.NoEdgesException
NoEdgesException(String) - Constructor for exception org.deeplearning4j.models.sequencevectors.graph.exception.NoEdgesException
NoEdgesException(String, Exception) - Constructor for exception org.deeplearning4j.models.sequencevectors.graph.exception.NoEdgesException
none() - Static method in class org.deeplearning4j.models.word2vec.VocabWord
normalized - Variable in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
normalizedLabels - Variable in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
NS - org.deeplearning4j.models.fasttext.FTLossFunctions
numDocuments() - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex: Returns the number of documents
numEpochs - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
numEpochs - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
numIterations - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
numLabelClasses() - Method in interface org.deeplearning4j.iterator.LabeledPairSentenceProvider: Equivalent to allLabels().size()
numLabelClasses() - Method in interface org.deeplearning4j.iterator.LabeledSentenceProvider: Equivalent to allLabels().size()
numLabelClasses() - Method in class org.deeplearning4j.iterator.provider.CollectionLabeledPairSentenceProvider
numLabelClasses() - Method in class org.deeplearning4j.iterator.provider.CollectionLabeledSentenceProvider
numLabelClasses() - Method in class org.deeplearning4j.iterator.provider.FileLabeledSentenceProvider
numLabelClasses() - Method in class org.deeplearning4j.iterator.provider.LabelAwareConverter
numVertices() - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
numVertices() - Method in interface org.deeplearning4j.models.sequencevectors.graph.primitives.IGraph: Number of vertices in the graph
numWords - Variable in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.BinaryReader
numWords() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache: Returns number of elements in this vocabulary
numWords() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.

Returns the number of words in the cache
numWords() - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache: Returns the number of words in the cache
numWords() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
numWordsEncountered() - Method in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer: Returns the number of words encountered so far
numWordsEncountered() - Method in interface org.deeplearning4j.bagofwords.vectorizer.TextVectorizer: Returns the number of words encountered so far

O

order - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker
order - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker
org.deeplearning4j.bagofwords.vectorizer - package org.deeplearning4j.bagofwords.vectorizer
org.deeplearning4j.iterator - package org.deeplearning4j.iterator
org.deeplearning4j.iterator.bert - package org.deeplearning4j.iterator.bert
org.deeplearning4j.iterator.provider - package org.deeplearning4j.iterator.provider
org.deeplearning4j.models.embeddings - package org.deeplearning4j.models.embeddings
org.deeplearning4j.models.embeddings.inmemory - package org.deeplearning4j.models.embeddings.inmemory
org.deeplearning4j.models.embeddings.learning - package org.deeplearning4j.models.embeddings.learning
org.deeplearning4j.models.embeddings.learning.impl.elements - package org.deeplearning4j.models.embeddings.learning.impl.elements
org.deeplearning4j.models.embeddings.learning.impl.sequence - package org.deeplearning4j.models.embeddings.learning.impl.sequence
org.deeplearning4j.models.embeddings.loader - package org.deeplearning4j.models.embeddings.loader
org.deeplearning4j.models.embeddings.reader - package org.deeplearning4j.models.embeddings.reader
org.deeplearning4j.models.embeddings.reader.impl - package org.deeplearning4j.models.embeddings.reader.impl
org.deeplearning4j.models.embeddings.wordvectors - package org.deeplearning4j.models.embeddings.wordvectors
org.deeplearning4j.models.fasttext - package org.deeplearning4j.models.fasttext
org.deeplearning4j.models.node2vec - package org.deeplearning4j.models.node2vec
org.deeplearning4j.models.paragraphvectors - package org.deeplearning4j.models.paragraphvectors
org.deeplearning4j.models.sequencevectors - package org.deeplearning4j.models.sequencevectors
org.deeplearning4j.models.sequencevectors.enums - package org.deeplearning4j.models.sequencevectors.enums
org.deeplearning4j.models.sequencevectors.graph.enums - package org.deeplearning4j.models.sequencevectors.graph.enums
org.deeplearning4j.models.sequencevectors.graph.exception - package org.deeplearning4j.models.sequencevectors.graph.exception
org.deeplearning4j.models.sequencevectors.graph.huffman - package org.deeplearning4j.models.sequencevectors.graph.huffman
org.deeplearning4j.models.sequencevectors.graph.primitives - package org.deeplearning4j.models.sequencevectors.graph.primitives
org.deeplearning4j.models.sequencevectors.graph.vertex - package org.deeplearning4j.models.sequencevectors.graph.vertex
org.deeplearning4j.models.sequencevectors.graph.walkers - package org.deeplearning4j.models.sequencevectors.graph.walkers
org.deeplearning4j.models.sequencevectors.graph.walkers.impl - package org.deeplearning4j.models.sequencevectors.graph.walkers.impl
org.deeplearning4j.models.sequencevectors.interfaces - package org.deeplearning4j.models.sequencevectors.interfaces
org.deeplearning4j.models.sequencevectors.iterators - package org.deeplearning4j.models.sequencevectors.iterators
org.deeplearning4j.models.sequencevectors.listeners - package org.deeplearning4j.models.sequencevectors.listeners
org.deeplearning4j.models.sequencevectors.sequence - package org.deeplearning4j.models.sequencevectors.sequence
org.deeplearning4j.models.sequencevectors.serialization - package org.deeplearning4j.models.sequencevectors.serialization
org.deeplearning4j.models.sequencevectors.transformers - package org.deeplearning4j.models.sequencevectors.transformers
org.deeplearning4j.models.sequencevectors.transformers.impl - package org.deeplearning4j.models.sequencevectors.transformers.impl
org.deeplearning4j.models.sequencevectors.transformers.impl.iterables - package org.deeplearning4j.models.sequencevectors.transformers.impl.iterables
org.deeplearning4j.models.word2vec - package org.deeplearning4j.models.word2vec
org.deeplearning4j.models.word2vec.iterator - package org.deeplearning4j.models.word2vec.iterator
org.deeplearning4j.models.word2vec.wordstore - package org.deeplearning4j.models.word2vec.wordstore
org.deeplearning4j.models.word2vec.wordstore.inmemory - package org.deeplearning4j.models.word2vec.wordstore.inmemory
org.deeplearning4j.text.documentiterator - package org.deeplearning4j.text.documentiterator
org.deeplearning4j.text.documentiterator.interoperability - package org.deeplearning4j.text.documentiterator.interoperability
org.deeplearning4j.text.inputsanitation - package org.deeplearning4j.text.inputsanitation
org.deeplearning4j.text.invertedindex - package org.deeplearning4j.text.invertedindex
org.deeplearning4j.text.labels - package org.deeplearning4j.text.labels
org.deeplearning4j.text.movingwindow - package org.deeplearning4j.text.movingwindow
org.deeplearning4j.text.sentenceiterator - package org.deeplearning4j.text.sentenceiterator
org.deeplearning4j.text.sentenceiterator.interoperability - package org.deeplearning4j.text.sentenceiterator.interoperability
org.deeplearning4j.text.sentenceiterator.labelaware - package org.deeplearning4j.text.sentenceiterator.labelaware
org.deeplearning4j.text.stopwords - package org.deeplearning4j.text.stopwords
org.deeplearning4j.text.tokenization.tokenizer - package org.deeplearning4j.text.tokenization.tokenizer
org.deeplearning4j.text.tokenization.tokenizer.preprocessor - package org.deeplearning4j.text.tokenization.tokenizer.preprocessor
org.deeplearning4j.text.tokenization.tokenizerfactory - package org.deeplearning4j.text.tokenization.tokenizerfactory
outOfVocabularySupported() - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors: Does implementation vectorize words absent in vocabulary
outOfVocabularySupported() - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
outOfVocabularySupported() - Method in class org.deeplearning4j.models.fasttext.FastText
outOfVocabularySupported() - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
OUTPUT_FILE - org.deeplearning4j.models.fasttext.FTOptions

P

PADDING_ON_DISCONNECTED - org.deeplearning4j.models.sequencevectors.graph.enums.NoEdgeHandling
padMinibatches - Variable in class org.deeplearning4j.iterator.BertIterator.Builder
padMinibatches - Variable in class org.deeplearning4j.iterator.BertIterator
padMinibatches(boolean) - Method in class org.deeplearning4j.iterator.BertIterator.Builder: Default: false (disabled)
If the dataset is not an exact multiple of the minibatch size, should we pad the smaller final minibatch?
For example, if we have 100 examples total, and 32 minibatch size, the following number of examples will be returned for subsequent calls of next() in the one epoch:
padMinibatches = false (default): 32, 32, 32, 4.
padMinibatches = true: 32, 32, 32, 32 (note: the last minibatch will have 4 real examples, and 28 masked out padding examples).
Both options should result in exactly the same model.
ParagraphVectors - Class in org.deeplearning4j.models.paragraphvectors
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
parallelCounter() - Static method in class org.deeplearning4j.text.movingwindow.Util: Returns a thread safe counter
parallelCounterMap() - Static method in class org.deeplearning4j.text.movingwindow.Util: Returns a thread safe counter map
ParallelTransformerIterator - Class in org.deeplearning4j.models.sequencevectors.transformers.impl.iterables
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
ParseException - Exception in org.deeplearning4j.models.sequencevectors.graph.exception
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
PCService - Class in org.deeplearning4j.models.sequencevectors
PCService() - Constructor for class org.deeplearning4j.models.sequencevectors.PCService
PLAIN - org.deeplearning4j.models.sequencevectors.graph.enums.SpreadSpectrum
points - Variable in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
POPULARITY - org.deeplearning4j.models.sequencevectors.graph.enums.WalkMode
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
PopularityMode - Enum in org.deeplearning4j.models.sequencevectors.graph.enums
PopularityWalker<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.graph.walkers.impl
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
PopularityWalker.NodeComparator - Class in org.deeplearning4j.models.sequencevectors.graph.walkers.impl
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
preciseMode - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder: Experimental field.
preciseWeightInit - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
predict(String) - Method in class org.deeplearning4j.models.fasttext.FastText
predict(String) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors: Deprecated.
predict(List<VocabWord>) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors: This method predicts label of the document.
predict(LabelledDocument) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors: This method predicts label of the document.
predictProbability(String) - Method in class org.deeplearning4j.models.fasttext.FastText
predictSeveral(LabelledDocument, int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors: Predict several labels based on the document.
predictSeveral(String, int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors: Predict several labels based on the document.
predictSeveral(List<VocabWord>, int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors: Predict several labels based on the document.
PrefetchingSentenceIterator - Class in org.deeplearning4j.text.sentenceiterator: Deprecated.
PrefetchingSentenceIterator.Builder - Class in org.deeplearning4j.text.sentenceiterator: Deprecated.
prependToken - Variable in class org.deeplearning4j.iterator.BertIterator.Builder
prependToken - Variable in class org.deeplearning4j.iterator.BertIterator
prependToken(String) - Method in class org.deeplearning4j.iterator.BertIterator.Builder: Prepend the specified token to the sequences, when doing supervised training.
i.e., any token sequences will have this added at the start.
Some BERT/Transformer models may need this - for example sequences starting with a "[CLS]" token.
No token is prepended by default.
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.BertWordPiecePreProcessor
preProcess(String) - Method in class org.deeplearning4j.text.tokenization.tokenizer.preprocessor.CommonPreprocessor
preProcess(String) - Method in class org.deeplearning4j.text.tokenization.tokenizer.preprocessor.CompositePreProcessor
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 interface org.deeplearning4j.text.tokenization.tokenizer.TokenPreProcess: Pre process a token
preProcessor - Variable in class org.deeplearning4j.iterator.BertIterator.Builder
preProcessor - Variable in class org.deeplearning4j.iterator.BertIterator
preProcessor - Variable in class org.deeplearning4j.text.sentenceiterator.BaseSentenceIterator
preProcessor(MultiDataSetPreProcessor) - Method in class org.deeplearning4j.iterator.BertIterator.Builder: Set the preprocessor to be used on the MultiDataSets before returning them.
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.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
printOutProjectedMemoryUse(long, int, int) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: This method prints memory usage to log
processDocument(AbstractCache<T>, Sequence<T>, AtomicLong, AtomicLong) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor
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
PROPORTIONAL - org.deeplearning4j.models.sequencevectors.graph.enums.SpreadSpectrum
put(T, int[], boolean[], long, double) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.BatchSequences
put(T, int[], boolean[], long, double, int) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.BatchSequences
put(T, T, long, double) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.BatchSequences
putCode(int, INDArray) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
putCode(int, INDArray) - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable
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.

R

r - Variable in class org.deeplearning4j.iterator.bert.BertMaskedLMMasker
RANDOM - org.deeplearning4j.models.sequencevectors.graph.enums.SamplingMode
RANDOM - org.deeplearning4j.models.sequencevectors.graph.enums.WalkDirection
RANDOM - org.deeplearning4j.models.sequencevectors.graph.enums.WalkMode
randomTokenProb - Variable in class org.deeplearning4j.iterator.bert.BertMaskedLMMasker
RandomWalker<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.graph.walkers.impl
RandomWalker() - Constructor for class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker
RandomWalker.Builder<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.graph.walkers.impl
RANK2_IDX - org.deeplearning4j.iterator.BertIterator.UnsupervisedLabelFormat
RANK3_LNC - org.deeplearning4j.iterator.BertIterator.UnsupervisedLabelFormat
RANK3_NCL - org.deeplearning4j.iterator.BertIterator.UnsupervisedLabelFormat
readAndClose(InputStream, Charset) - Static method in class org.deeplearning4j.text.tokenization.tokenizer.BertWordPieceStreamTokenizer
readAsBinary(File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
readAsBinary(InputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: This method loads Word2Vec model from binary input stream.
readAsBinaryNoLineBreaks(File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
readAsBinaryNoLineBreaks(InputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
readAsCsv(File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
readAsCsv(InputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: This method loads Word2Vec model from csv file
readBinaryModel(InputStream, boolean, boolean) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: Read a binary word2vec from input stream.
ReadHelper() - Constructor for class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.ReadHelper
readLookupTable(File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
readLookupTable(InputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
readOnly - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer.Builder
readOnly - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer
readOnly(boolean) - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer.Builder
readParagraphVectors(File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: This method restores ParagraphVectors model previously saved with writeParagraphVectors()
readParagraphVectors(InputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: This method restores ParagraphVectors model previously saved with writeParagraphVectors()
readParagraphVectors(String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: This method restores ParagraphVectors model previously saved with writeParagraphVectors()
readParagraphVectorsFromText(File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: Deprecated.
Use WordVectorSerializer.readParagraphVectors(File)
readParagraphVectorsFromText(InputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: Deprecated.
Use WordVectorSerializer.readParagraphVectors(InputStream)
readParagraphVectorsFromText(String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: Deprecated.
Use WordVectorSerializer.readParagraphVectors(String)
readSequenceVectors(File, boolean) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: This method loads SequenceVectors from specified file path
readSequenceVectors(InputStream, boolean) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: This method loads SequenceVectors from specified input stream
readSequenceVectors(String, boolean) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: This method loads SequenceVectors from specified file path
readSequenceVectors(SequenceElementFactory<T>, File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: This method loads previously saved SequenceVectors model from File
readSequenceVectors(SequenceElementFactory<T>, InputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: This method loads previously saved SequenceVectors model from InputStream
readStream(InputStream) - Method in class org.deeplearning4j.text.documentiterator.interoperability.DocumentIteratorConverter
readVocabCache(File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: This method reads vocab cache from provided file.
readVocabCache(InputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: This method reads vocab cache from provided InputStream.
readWord2Vec(File, boolean) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: This method loads Word2Vec model from file
readWord2Vec(InputStream, boolean) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: This method loads Word2Vec model from input stream
readWord2Vec(String, boolean) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: This method restores Word2Vec model from file
readWord2Vec(File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: Deprecated.
Use WordVectorSerializer.readWord2Vec(File, boolean)
readWord2VecFromText(File, File, File, File, VectorsConfiguration) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: This method allows you to read ParagraphVectors from externally originated vectors and syn1.
readWord2VecModel(File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: This method 1) Binary model, either compressed or not.
readWord2VecModel(File, boolean) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: This method 1) Binary model, either compressed or not.
readWord2VecModel(String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: This method 1) Binary model, either compressed or not.
readWord2VecModel(String, boolean) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: This method 1) Binary model, either compressed or not.
readWordVectors(File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: This method unloads FastText model from file
reassignExistingModel() - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
reconstructFromTokens(List<String>) - Static method in class org.deeplearning4j.text.tokenization.tokenizer.preprocessor.BertWordPiecePreProcessor: Reconstruct the String from tokens
remove() - Method in class org.deeplearning4j.iterator.BertIterator
remove() - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
remove() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.WeightIterator
remove() - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.BasicTransformerIterator
remove() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator: Removes from the underlying collection the last element returned by this iterator (optional operation).
remove() - Method in class org.deeplearning4j.text.documentiterator.AsyncLabelAwareIterator
remove() - Method in class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator
remove() - Method in class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator
remove() - Method in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator
remove() - Method in class org.deeplearning4j.text.documentiterator.interoperability.DocumentIteratorConverter
remove() - Method in class org.deeplearning4j.text.documentiterator.LabelAwareIteratorWrapper
remove() - Method in class org.deeplearning4j.text.documentiterator.SimpleLabelAwareIterator
remove() - Method in class org.deeplearning4j.text.sentenceiterator.interoperability.SentenceIteratorConverter
removeElement(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
removeElement(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.
removeElement(String) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache: Removes element with specified label from vocabulary Please note: Huffman index should be updated after element removal
removeElement(VocabWord) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.
removeElement(T) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
removeElement(T) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache: Removes specified element from vocabulary Please note: Huffman index should be updated after element removal
RemoveWord - org.deeplearning4j.iterator.CnnSentenceDataSetIterator.UnknownWordHandling
REPLACEMENT_CHAR - Static variable in class org.deeplearning4j.text.tokenization.tokenizer.preprocessor.BertWordPiecePreProcessor
reset() - Method in class org.deeplearning4j.iterator.BertIterator
reset() - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
reset() - Method in interface org.deeplearning4j.iterator.LabeledPairSentenceProvider: Reset the iterator - including shuffling the order, if necessary/appropriate
reset() - Method in interface org.deeplearning4j.iterator.LabeledSentenceProvider: Reset the iterator - including shuffling the order, if necessary/appropriate
reset() - Method in class org.deeplearning4j.iterator.provider.CollectionLabeledPairSentenceProvider
reset() - Method in class org.deeplearning4j.iterator.provider.CollectionLabeledSentenceProvider
reset() - Method in class org.deeplearning4j.iterator.provider.FileLabeledSentenceProvider
reset() - Method in class org.deeplearning4j.iterator.provider.LabelAwareConverter
reset() - Method in interface org.deeplearning4j.models.sequencevectors.interfaces.SequenceIterator
reset() - Method in class org.deeplearning4j.models.sequencevectors.iterators.AbstractSequenceIterator: Resets iterator to first position
reset() - Method in class org.deeplearning4j.models.sequencevectors.iterators.FilteredSequenceIterator: Resets iterator down to first sequence
reset() - Method in class org.deeplearning4j.models.sequencevectors.iterators.SynchronizedSequenceIterator: This method resets underlying iterator
reset() - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.BasicTransformerIterator
reset() - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.ParallelTransformerIterator
reset() - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer
reset() - Method in interface org.deeplearning4j.models.sequencevectors.transformers.SequenceTransformer
reset() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
reset() - Method in class org.deeplearning4j.text.documentiterator.AsyncLabelAwareIterator
reset() - Method in class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator: This methods resets LabelAwareIterator
reset() - Method in interface org.deeplearning4j.text.documentiterator.DocumentIterator: Reset the iterator to the beginning
reset() - Method in class org.deeplearning4j.text.documentiterator.FileDocumentIterator
reset() - Method in class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator
reset() - Method in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator
reset() - Method in class org.deeplearning4j.text.documentiterator.interoperability.DocumentIteratorConverter
reset() - Method in interface org.deeplearning4j.text.documentiterator.LabelAwareIterator
reset() - Method in class org.deeplearning4j.text.documentiterator.LabelAwareIteratorWrapper
reset() - Method in class org.deeplearning4j.text.documentiterator.LabelsSource: This method should be called from Iterator's reset() method, to keep labels in sync with iterator
reset() - Method in class org.deeplearning4j.text.documentiterator.SimpleLabelAwareIterator: This methods resets LabelAwareIterator by creating new Iterator from Iterable internally
reset() - Method in class org.deeplearning4j.text.sentenceiterator.AggregatingSentenceIterator
reset() - Method in class org.deeplearning4j.text.sentenceiterator.BasicLineIterator
reset() - Method in class org.deeplearning4j.text.sentenceiterator.BasicResultSetIterator
reset() - Method in class org.deeplearning4j.text.sentenceiterator.CollectionSentenceIterator
reset() - Method in class org.deeplearning4j.text.sentenceiterator.FileSentenceIterator
reset() - Method in class org.deeplearning4j.text.sentenceiterator.interoperability.SentenceIteratorConverter
reset() - Method in class org.deeplearning4j.text.sentenceiterator.LineSentenceIterator
reset() - Method in class org.deeplearning4j.text.sentenceiterator.MutipleEpochsSentenceIterator
reset() - Method in class org.deeplearning4j.text.sentenceiterator.PrefetchingSentenceIterator: Deprecated.
reset() - Method in interface org.deeplearning4j.text.sentenceiterator.SentenceIterator: Resets the iterator to the beginning
reset() - Method in class org.deeplearning4j.text.sentenceiterator.StreamLineIterator
reset() - Method in class org.deeplearning4j.text.sentenceiterator.SynchronizedSentenceIterator
reset(boolean) - Method in interface org.deeplearning4j.models.sequencevectors.graph.walkers.GraphWalker: This method resets walker
reset(boolean) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker
reset(boolean) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker
reset(boolean) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker: This method resets walker
reset(boolean) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.WeightedWalker: This method resets walker
resetModel - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
resetModel - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
resetModel(boolean) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder: Deprecated.
resetModel(boolean) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder: This method defines whether model should be totally wiped out prior building, or not
resetModel(boolean) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder: This method defines, should all model be reset before training.
resetModel(boolean) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder: This method defines whether model should be totally wiped out prior building, or not
resetSupported() - Method in class org.deeplearning4j.iterator.BertIterator
resetSupported() - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
resetSupported() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
resetWeights() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable: Reset the weights of the cache
resetWeights() - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable: Reset the weights of the cache
resetWeights(boolean) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
resetWeights(boolean) - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable: Clear out all weights regardless
resetWordCounters() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder: This methods reset counters for all words in vocabulary
RESTART_ON_DISCONNECTED - org.deeplearning4j.models.sequencevectors.graph.enums.NoEdgeHandling
retentionDelay - Variable in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache.Builder
rng - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
rng - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker
rng - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker
RNN - org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Format
run() - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.AsyncSequencer
run() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor.VocabRunnable

S

sample() - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex: Sampling for creating mini batches
sampling - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
sampling - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
sampling - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
sampling - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
sampling - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
sampling(double) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder: Deprecated.
sampling(double) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder: This method defines whether subsampling should be used or not
sampling(double) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder: This method defines sub-sampling threshold.
sampling(double) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder: This method defines whether subsampling should be used or not
samplingMode - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker.Builder
samplingMode - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker
SamplingMode - Enum in org.deeplearning4j.models.sequencevectors.graph.enums
saveVocab() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache: Serialize vocabulary to specified path
saveVocab() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.
saveVocab() - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache: Saves the vocab: this allow for reuse of word frequencies
scavengerActivationThreshold(int) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder.Builder: Activation threshold defines, how ofter scavenger will be executed, to throw away low-frequency keywords.
scavengerRetentionDelay(int) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache.Builder
scavengerRetentionDelay(int) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder.Builder: Retention delay defines, how long low-freq word will be kept in vocab, during building.
scavengerThreshold - Variable in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache.Builder
scavengerThreshold(int) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache.Builder
scoreElements - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors
ScoreListener<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.listeners: Deprecated.
ScoreListener(ListenerEvent, int) - Constructor for class org.deeplearning4j.models.sequencevectors.listeners.ScoreListener: Deprecated.
scoreSequences - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors
seed - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
seed - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
seed - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
seed - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker.Builder
seed - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker
seed - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker.Builder
seed - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker
seed - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
seed(long) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
seed(long) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder: Deprecated.
seed(long) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder: This method defines random seed for random numbers generator
seed(long) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder: Sets seed for random numbers generator.
seed(long) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder: This method defines random seed for random numbers generator
SELF_LOOP_ON_DISCONNECTED - org.deeplearning4j.models.sequencevectors.graph.enums.NoEdgeHandling
sentenceCounter - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer
sentenceIter - Variable in class org.deeplearning4j.models.word2vec.Word2Vec
sentenceIterator - Variable in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
SentenceIterator - Interface in org.deeplearning4j.text.sentenceiterator
SentenceIteratorConverter - Class in org.deeplearning4j.text.sentenceiterator.interoperability
SentenceIteratorConverter(SentenceIterator) - Constructor for class org.deeplearning4j.text.sentenceiterator.interoperability.SentenceIteratorConverter
SentenceIteratorConverter(SentenceIterator, LabelsSource) - Constructor for class org.deeplearning4j.text.sentenceiterator.interoperability.SentenceIteratorConverter
sentencePairProvider - Variable in class org.deeplearning4j.iterator.BertIterator.Builder
sentencePairProvider - Variable in class org.deeplearning4j.iterator.BertIterator
sentencePairProvider(LabeledPairSentenceProvider) - Method in class org.deeplearning4j.iterator.BertIterator.Builder: Specify the source of the data for classification on sentence pairs.
sentencePreProcessor(SentencePreProcessor) - Method in class org.deeplearning4j.text.sentenceiterator.AggregatingSentenceIterator.Builder
SentencePreProcessor - Interface in org.deeplearning4j.text.sentenceiterator
sentenceProvider - Variable in class org.deeplearning4j.iterator.BertIterator.Builder
sentenceProvider - Variable in class org.deeplearning4j.iterator.BertIterator
sentenceProvider(LabeledSentenceProvider) - Method in class org.deeplearning4j.iterator.BertIterator.Builder: Specify the source of the data for classification.
sentenceProvider(LabeledSentenceProvider) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder: Specify how the (labelled) sentences / documents should be provided
sentenceProvider(LabelAwareDocumentIterator, List<String>) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder: Specify how the (labelled) sentences / documents should be provided
sentenceProvider(LabelAwareIterator, List<String>) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder: Specify how the (labelled) sentences / documents should be provided
sentenceProvider(LabelAwareSentenceIterator, List<String>) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder: Specify how the (labelled) sentences / documents should be provided
sentencesAlongHeight(boolean) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder: If true (default): output features data with shape [minibatchSize, 1, maxSentenceLength, wordVectorSize]
If false: output features with shape [minibatchSize, 1, wordVectorSize, maxSentenceLength]
sentenceTransformer - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.BasicTransformerIterator
SentenceTransformer - Class in org.deeplearning4j.models.sequencevectors.transformers.impl
SentenceTransformer.Builder - Class in org.deeplearning4j.models.sequencevectors.transformers.impl
SEQ_CLASSIFICATION - org.deeplearning4j.iterator.BertIterator.Task
Sequence<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.sequence
Sequence() - Constructor for class org.deeplearning4j.models.sequencevectors.sequence.Sequence: Creates new empty sequence
Sequence(Collection<T>) - Constructor for class org.deeplearning4j.models.sequencevectors.sequence.Sequence: Creates new sequence from collection of elements
SequenceElement - Class in org.deeplearning4j.models.sequencevectors.sequence
SequenceElement() - Constructor for class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
SequenceElementFactory<T extends SequenceElement> - Interface in org.deeplearning4j.models.sequencevectors.interfaces
sequenceId - Variable in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
SequenceIterator<T extends SequenceElement> - Interface in org.deeplearning4j.models.sequencevectors.interfaces
sequenceLearningAlgorithm - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
sequenceLearningAlgorithm - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors
sequenceLearningAlgorithm(String) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder: Deprecated.
sequenceLearningAlgorithm(String) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder: Sets specific LearningAlgorithm as Sequence Learning Algorithm
sequenceLearningAlgorithm(SequenceLearningAlgorithm<T>) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder: Sets specific LearningAlgorithm as Sequence Learning Algorithm
sequenceLearningAlgorithm(SequenceLearningAlgorithm<V>) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder: Deprecated.
sequenceLearningAlgorithm(String) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
sequenceLearningAlgorithm(SequenceLearningAlgorithm<VocabWord>) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
SequenceLearningAlgorithm<T extends SequenceElement> - Interface in org.deeplearning4j.models.embeddings.learning
sequencesCount - Variable in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
SequenceTransformer<T extends SequenceElement,V> - Interface in org.deeplearning4j.models.sequencevectors.transformers
SequenceVectors<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors
SequenceVectors() - Constructor for class org.deeplearning4j.models.sequencevectors.SequenceVectors
SequenceVectors.AsyncSequencer - Class in org.deeplearning4j.models.sequencevectors: This class is used to fetch data from iterator in background thread, and convert it to List It becomes very usefull if text processing pipeline behind iterator is complex, and we're not loading data from simple text file with whitespaces as separator.
SequenceVectors.Builder<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors
serialize(VocabWord) - Method in class org.deeplearning4j.models.sequencevectors.serialization.VocabWordFactory: This method serializaes object into JSON string
serialize(T) - Method in interface org.deeplearning4j.models.sequencevectors.interfaces.SequenceElementFactory: This method serializaes object into JSON string
serialize(T) - Method in class org.deeplearning4j.models.sequencevectors.serialization.AbstractElementFactory: This method serializaes object into JSON string
SerializingListener<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.listeners
SerializingListener() - Constructor for class org.deeplearning4j.models.sequencevectors.listeners.SerializingListener
SerializingListener.Builder<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.listeners
setAlpha(double) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.BatchItem
setBegin(int) - Method in class org.deeplearning4j.text.movingwindow.Window
setCachePerDevice(long) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec.Builder: This method lets you to define if decompressed values will be cached, to avoid excessive decompressions.
setCodeLength(short) - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement: This method fills codes and points up to codeLength
setCodes(List<Byte>) - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement: Sets Huffman tree codes
setCodes(Map<Integer, INDArray>) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
setCount(AtomicInteger) - Method in class org.deeplearning4j.models.word2vec.StreamWork
setCount(AtomicInteger) - Method in class org.deeplearning4j.models.word2vec.VocabWork
setCountForDoc(String, long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache: Set exact number of observed documents that contain specified word Please note: this method is NOT thread-safe
setCountForDoc(String, long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.
setCountForDoc(String, long) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache: Set the count for the number of documents the word appears in
setDepth(int) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker.Builder: This method specifies, how deep walker goes from starting point Default value: 1
setElementFrequency(long) - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement: This method sets frequency value for this element
setEnd(int) - Method in class org.deeplearning4j.text.movingwindow.Window
setEntriesLimit(int) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor.Builder: This method sets the limit to resulting vocabulary size.
setExpTable(double[]) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
setFetchSize(int) - Method in class org.deeplearning4j.text.sentenceiterator.PrefetchingSentenceIterator.Builder: Deprecated.
setFetchSize(int) - Method in class org.deeplearning4j.text.sentenceiterator.StreamLineIterator.Builder
setFilenamePrefix(boolean) - Method in class org.deeplearning4j.models.sequencevectors.listeners.SerializingListener.Builder: This method allows you to define template for file names that will be created during serialization
setGraphWalker(GraphWalker<T>) - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer.Builder
setHistoricalGradient(INDArray) - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement: Deprecated.
setIndex(int) - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement: Sets index in Huffman tree
setIndex(InvertedIndex<T>) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor.Builder
setIterator(DocumentIterator) - Method in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
setIterator(DocumentIterator) - Method in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
setIterator(LabelAwareIterator) - Method in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
setIterator(LabelAwareIterator) - Method in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
setIterator(SentenceIterator) - Method in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
setIterator(SentenceIterator) - Method in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
setLabel(String) - Method in class org.deeplearning4j.text.documentiterator.LabelledDocument: Deprecated.
setLabel(String) - Method in class org.deeplearning4j.text.movingwindow.Window
setLabel(List<String>) - Method in class org.deeplearning4j.models.word2vec.VocabWork
setLabelsProvider(LabelsProvider<T>) - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer.Builder
setLabelsSource(LabelsSource) - Method in class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator.Builder: TODO: To be implemented
setLabelTemplate(String) - Method in class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator.Builder: Label template will be used for sentence labels generation.
setLastWord(T) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.BatchItem
setLearningRate(double) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
setLearningRate(double) - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable: Sets the learning rate
setLockFactor(boolean) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor.Builder
setLookupTable(WeightLookupTable) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
setLr(AtomicDouble) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
setMinWordFrequency(int) - Method in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
setMinWordFrequency(int) - Method in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
setModelUtils(ModelUtils) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
setModelUtils(ModelUtils) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors: Specifies ModelUtils to be used to access model
setModelUtils(ModelUtils) - Method in class org.deeplearning4j.models.fasttext.FastText
setModelUtils(ModelUtils) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec: Specifies ModelUtils to be used to access model PLEASE NOTE: This method has no effect in this implementation.
setNegative(double) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
setNoEdgeHandling(NoEdgeHandling) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker.Builder: This method defines walker behavior when it gets to node which has no next nodes available Default value: RESTART_ON_DISCONNECTED
setNoEdgeHandling(NoEdgeHandling) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker.Builder: This method defines walker behavior when it gets to node which has no next nodes available Default value: RESTART_ON_DISCONNECTED
setNoEdgeHandling(NoEdgeHandling) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.WeightedWalker.Builder: This method defines walker behavior when it gets to node which has no next nodes available Default value: RESTART_ON_DISCONNECTED
setPoints(int[]) - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement: Sets Huffman tree points
setPoints(List<Integer>) - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement: Sets Huffman tree points
setPopularityMode(PopularityMode) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker.Builder: This method defines which nodes should be taken in account when choosing next hope: maximum popularity, lowest popularity, or average popularity.
setPopularitySpread(int) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker.Builder: This method defines, how much nodes should take place in next hop selection.
setPreProcessor(SentencePreProcessor) - Method in class org.deeplearning4j.text.sentenceiterator.AggregatingSentenceIterator
setPreProcessor(SentencePreProcessor) - Method in class org.deeplearning4j.text.sentenceiterator.BaseSentenceIterator
setPreProcessor(SentencePreProcessor) - Method in class org.deeplearning4j.text.sentenceiterator.BasicLineIterator
setPreProcessor(SentencePreProcessor) - Method in class org.deeplearning4j.text.sentenceiterator.BasicResultSetIterator
setPreProcessor(SentencePreProcessor) - Method in class org.deeplearning4j.text.sentenceiterator.MutipleEpochsSentenceIterator
setPreProcessor(SentencePreProcessor) - Method in class org.deeplearning4j.text.sentenceiterator.PrefetchingSentenceIterator: Deprecated.
setPreProcessor(SentencePreProcessor) - Method in interface org.deeplearning4j.text.sentenceiterator.SentenceIterator
setPreProcessor(SentencePreProcessor) - Method in class org.deeplearning4j.text.sentenceiterator.StreamLineIterator.Builder
setPreProcessor(SentencePreProcessor) - Method in class org.deeplearning4j.text.sentenceiterator.StreamLineIterator
setPreProcessor(SentencePreProcessor) - Method in class org.deeplearning4j.text.sentenceiterator.SynchronizedSentenceIterator
setPreProcessor(DataSetPreProcessor) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
setPreProcessor(DataSetPreProcessor) - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
setRestartProbability(double) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker.Builder: This method defines a chance for walk restart Good value would be somewhere between 0.03-0.07
setRestartProbability(double) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker.Builder: This method defines a chance for walk restart Good value would be somewhere between 0.03-0.07
setRestartProbability(double) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.WeightedWalker.Builder: This method defines a chance for walk restart Good value would be somewhere between 0.03-0.07
setSamplingMode(SamplingMode) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker.Builder: This method defines sorting which will be used to generate walks.
setScavengerActivationThreshold(int) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder: This method is needed ONLY for unit tests and should NOT be available in public scope.
setSeed(long) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker.Builder
setSeed(long) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker.Builder: This method specifies random seed.
setSeed(long) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker.Builder: This method specifies random seed.
setSeed(long) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.WeightedWalker.Builder: This method specifies random seed.
setSentenceIterator(SentenceIterator) - Method in class org.deeplearning4j.models.word2vec.Word2Vec: This method defines SentenceIterator instance, that will be used as training corpus source
setSentencePreProcessor(SentencePreProcessor) - Method in class org.deeplearning4j.text.sentenceiterator.PrefetchingSentenceIterator.Builder: Deprecated.
setSequenceIterator(SequenceIterator<VocabWord>) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors: This method defines SequenceIterator instance, that will be used as training corpus source.
setSequenceIterator(SequenceIterator<VocabWord>) - Method in class org.deeplearning4j.models.word2vec.Word2Vec: This method defines SequenceIterator instance, that will be used as training corpus source.
setSequenceLabel(T) - Method in class org.deeplearning4j.models.sequencevectors.sequence.Sequence: Set sequence label
setSequenceLabels(List<T>) - Method in class org.deeplearning4j.models.sequencevectors.sequence.Sequence: Sets sequence labels
setSequencesCount(long) - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement: This method sets documents count to specified value
setSpreadSpectrum(SpreadSpectrum) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker.Builder: This method allows you to define, if nodes within popularity spread should have equal chances to be picked for next hop, or they should have chances proportional to their popularity.
setStem(boolean) - Method in class org.deeplearning4j.models.word2vec.VocabWork
setStopWords(Collection<String>) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor.Builder
setStopWords(Collection<String>) - Method in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
setStopWords(Collection<String>) - Method in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
setSyn0(INDArray) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
setSyn1(INDArray) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
setSyn1Neg(INDArray) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
setTable(INDArray) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
setTableId(Long) - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable: Set's table Id.
setTargetFolder(File) - Method in class org.deeplearning4j.models.sequencevectors.listeners.SerializingListener.Builder: This method specifies target folder where models should be saved
setTargetFolder(String) - Method in class org.deeplearning4j.models.sequencevectors.listeners.SerializingListener.Builder: This method specifies target folder where models should be saved
setTargetVocabCache(VocabCache<T>) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor.Builder: After temporary internal vocabulary is built, it will be transferred to target VocabCache you pass here
setTokenizerFactory(TokenizerFactory) - Method in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
setTokenizerFactory(TokenizerFactory) - Method in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
setTokenizerFactory(TokenizerFactory) - Method in class org.deeplearning4j.models.word2vec.Word2Vec: This method defines TokenizerFactory instance to be using during model building
setTokenPreProcessor(TokenPreProcess) - Method in class org.deeplearning4j.text.tokenization.tokenizer.BertWordPieceTokenizer
setTokenPreProcessor(TokenPreProcess) - Method in class org.deeplearning4j.text.tokenization.tokenizer.DefaultStreamTokenizer
setTokenPreProcessor(TokenPreProcess) - Method in class org.deeplearning4j.text.tokenization.tokenizer.DefaultTokenizer
setTokenPreProcessor(TokenPreProcess) - Method in class org.deeplearning4j.text.tokenization.tokenizer.NGramTokenizer
setTokenPreProcessor(TokenPreProcess) - Method in interface org.deeplearning4j.text.tokenization.tokenizer.Tokenizer: Set the token pre process
setTokenPreProcessor(TokenPreProcess) - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.DefaultTokenizerFactory
setTokenPreProcessor(TokenPreProcess) - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.NGramTokenizerFactory
setTokenPreProcessor(TokenPreProcess) - Method in interface org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory: Sets a token pre processor to be used with every tokenizer
setTokens(Map<String, VocabWord>) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.
setTotalDocCount(long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache: This method allows to set total number of documents
setTotalWordOccurences(long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
setUnk(T) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor.Builder
setUNK(String) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors
setUNK(String) - Method in class org.deeplearning4j.models.fasttext.FastText
setUNK(String) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors
setUNK(String) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
setUseAdaGrad(boolean) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
setUseHS(boolean) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
setVectorLength(int) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
setVectorsListeners(Collection<VectorsListener<VocabWord>>) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder: This method sets VectorsListeners for this SequenceVectors model
setVectorsListeners(Collection<VectorsListener<VocabWord>>) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder: This method sets VectorsListeners for this SequenceVectors model
setVectorsListeners(Collection<VectorsListener<T>>) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder: This method sets VectorsListeners for this SequenceVectors model
setVectorsListeners(Collection<VectorsListener<V>>) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder: Deprecated.
setVocab(VocabCache<VocabWord>) - Method in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
setVocab(VocabCache<VocabWord>) - Method in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
setVocab(VocabCache) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
setVocab(VocabCache) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
setVocabCache(VocabCache<T>) - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer.Builder
setVocabs(Map<String, VocabWord>) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.
setWalkDirection(WalkDirection) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker.Builder: This method defines next hop selection within walk
setWalkDirection(WalkDirection) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker.Builder: This method defines next hop selection within walk
setWalkDirection(WalkDirection) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.WeightedWalker.Builder: This method defines next hop selection within walk
setWalkLength(int) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker.Builder: This method defines maximal number of nodes to be visited during walk.
setWalkLength(int) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker.Builder: This method specifies output sequence (walk) length
setWalkLength(int) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker.Builder: This method specifies output sequence (walk) length
setWalkLength(int) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.WeightedWalker.Builder: This method specifies output sequence (walk) length
setWord(String) - Method in class org.deeplearning4j.models.word2vec.VocabWord
setWord(T) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.BatchItem
setWordFrequencies(Counter<String>) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.
setWords(List<String>) - Method in class org.deeplearning4j.text.movingwindow.Window
setWork(String) - Method in class org.deeplearning4j.models.word2vec.VocabWork
setWorkers(int) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
setWorkers(int) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
SG - org.deeplearning4j.models.fasttext.FTModels
ShallowSequenceElement - Class in org.deeplearning4j.models.sequencevectors.sequence
ShallowSequenceElement(double, long) - Constructor for class org.deeplearning4j.models.sequencevectors.sequence.ShallowSequenceElement
shuffle - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer.Builder
shuffle - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer
shuffleOnReset(boolean) - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer.Builder
shutdown() - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.ParallelTransformerIterator
shutdown() - Method in class org.deeplearning4j.text.documentiterator.AsyncLabelAwareIterator
shutdown() - Method in class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator
shutdown() - Method in class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator
shutdown() - Method in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator
shutdown() - Method in class org.deeplearning4j.text.documentiterator.interoperability.DocumentIteratorConverter
shutdown() - Method in interface org.deeplearning4j.text.documentiterator.LabelAwareIterator
shutdown() - Method in class org.deeplearning4j.text.documentiterator.LabelAwareIteratorWrapper
shutdown() - Method in class org.deeplearning4j.text.documentiterator.SimpleLabelAwareIterator
shutdown() - Method in class org.deeplearning4j.text.sentenceiterator.interoperability.SentenceIteratorConverter
similarity(String, String) - Method in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils: Returns the similarity of 2 words.
similarity(String, String) - Method in interface org.deeplearning4j.models.embeddings.reader.ModelUtils: This method implementations should return distance between two given elements
similarity(String, String) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors: Returns the similarity of 2 words
similarity(String, String) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl: Returns similarity of two elements, provided by ModelUtils
similarity(String, String) - Method in class org.deeplearning4j.models.fasttext.FastText
similarity(String, String) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec: Returns the similarity of 2 words
SimilarityComparator() - Constructor for class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils.SimilarityComparator
SimilarityListener<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.listeners
SimilarityListener(ListenerEvent, int, String, String) - Constructor for class org.deeplearning4j.models.sequencevectors.listeners.SimilarityListener
similarityToLabel(String, String) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors: Deprecated.
similarityToLabel(List<VocabWord>, String) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors: This method returns similarity of the document to specific label, based on mean value
similarityToLabel(LabelledDocument, String) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors: This method returns similarity of the document to specific label, based on mean value
similarWordsInVocabTo(String, double) - Method in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils: Find all words with a similar characters in the vocab
similarWordsInVocabTo(String, double) - Method in interface org.deeplearning4j.models.embeddings.reader.ModelUtils: Find all words with a similar characters in the vocab
similarWordsInVocabTo(String, double) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors: Find all words with a similar characters in the vocab
similarWordsInVocabTo(String, double) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl: Find all words with a similar characters in the vocab
similarWordsInVocabTo(String, double) - Method in class org.deeplearning4j.models.fasttext.FastText
similarWordsInVocabTo(String, double) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec: Find all words with a similar characters in the vocab PLEASE NOTE: This method is not available in this implementation.
SimpleLabelAwareIterator - Class in org.deeplearning4j.text.documentiterator
SimpleLabelAwareIterator(Iterable<LabelledDocument>) - Constructor for class org.deeplearning4j.text.documentiterator.SimpleLabelAwareIterator: Builds LabelAwareIterator instance using Iterable object
SimpleLabelAwareIterator(Iterator<LabelledDocument>) - Constructor for class org.deeplearning4j.text.documentiterator.SimpleLabelAwareIterator: Builds LabelAwareIterator instance using Iterator object PLEASE NOTE: If instance is built using Iterator object, reset() method becomes unavailable
size() - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.BatchSequences
size() - Method in class org.deeplearning4j.models.sequencevectors.sequence.Sequence: This method returns number of elements in this sequence
size() - Method in class org.deeplearning4j.text.documentiterator.LabelsSource
skipGram - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
SkipGram<T extends SequenceElement> - Class in org.deeplearning4j.models.embeddings.learning.impl.elements
SkipGram() - Constructor for class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram: Dummy construction is required for reflection
SOFTMAX - org.deeplearning4j.models.fasttext.FTLossFunctions
sourceGraph - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker.Builder
sourceGraph - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker
sourceGraph - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker.Builder
sourceGraph - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker
sourceGraph - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer.Builder
sourceGraph - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer
special - Variable in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
spectrum - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker.Builder
spectrum - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker
splitPattern - Static variable in class org.deeplearning4j.text.tokenization.tokenizer.BertWordPieceTokenizer
spread - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker.Builder
spread - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker
SpreadSpectrum - Enum in org.deeplearning4j.models.sequencevectors.graph.enums
StaticWord2Vec - Class in org.deeplearning4j.models.word2vec
StaticWord2Vec.Builder - Class in org.deeplearning4j.models.word2vec
STOP - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
stopWords - Variable in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
stopWords - Variable in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
stopWords - Variable in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
stopWords - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
stopWords - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
stopWords(Collection<VocabWord>) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder: This method defines stop words that should be ignored during training
stopWords(Collection<VocabWord>) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder: This method defines stop words that should be ignored during training
stopWords(Collection<T>) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder: You can provide collection of objects to be ignored, and excluded out of model Please note: Object labels and hashCode will be used for filtering
stopWords(Collection<V>) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder: Deprecated.
stopWords(List<String>) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder: Deprecated.
stopWords(List<String>) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder: This method defines stop words that should be ignored during training
stopWords(List<String>) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder: You can provide collection of objects to be ignored, and excluded out of model Please note: Object labels and hashCode will be used for filtering
stopWords(List<String>) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder: This method defines stop words that should be ignored during training
StopWords - Class in org.deeplearning4j.text.stopwords
storageId - Variable in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
storeLabel(String) - Method in class org.deeplearning4j.text.documentiterator.LabelsSource: This method is intended for storing labels retrieved from external sources.
stream - Variable in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.BinaryReader
StreamLineIterator - Class in org.deeplearning4j.text.sentenceiterator
StreamLineIterator.Builder - Class in org.deeplearning4j.text.sentenceiterator
StreamWork - Class in org.deeplearning4j.models.word2vec
StreamWork(InputStreamCreator, AtomicInteger) - Constructor for class org.deeplearning4j.models.word2vec.StreamWork
StringCleaning - Class in org.deeplearning4j.text.tokenization.tokenizer.preprocessor
stringWithLabels(String, TokenizerFactory) - Static method in class org.deeplearning4j.text.movingwindow.ContextLabelRetriever: Returns a stripped sentence with the indices of words with certain kinds of labels.
stripAccents - Variable in class org.deeplearning4j.text.tokenization.tokenizer.preprocessor.BertWordPiecePreProcessor
stripPunct(String) - Static method in class org.deeplearning4j.text.tokenization.tokenizer.preprocessor.StringCleaning: Removes ASCII punctuation marks, which are: 0123456789.:,"'()[]|/?!;
SUP - org.deeplearning4j.models.fasttext.FTModels
syn0 - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
syn0 - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
syn0 - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
syn0 - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
syn1 - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
syn1 - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
syn1 - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
syn1 - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
syn1Neg - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
syn1Neg - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
syn1Neg - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
syn1Neg - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
SynchronizedSentenceIterator - Class in org.deeplearning4j.text.sentenceiterator
SynchronizedSentenceIterator(SentenceIterator) - Constructor for class org.deeplearning4j.text.sentenceiterator.SynchronizedSentenceIterator
SynchronizedSequenceIterator<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.iterators
SynchronizedSequenceIterator(SequenceIterator<T>) - Constructor for class org.deeplearning4j.models.sequencevectors.iterators.SynchronizedSequenceIterator: Creates SynchronizedSequenceIterator on top of any SequenceIterator

T

table - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
table - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
table - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
table - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
tableId - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
tagger - Variable in class org.deeplearning4j.models.sequencevectors.iterators.AbstractSequenceIterator
task - Variable in class org.deeplearning4j.iterator.BertIterator.Builder
task - Variable in class org.deeplearning4j.iterator.BertIterator
task(BertIterator.Task) - Method in class org.deeplearning4j.iterator.BertIterator.Builder: Specify the BertIterator.Task the iterator should be set up for.
test(File) - Method in class org.deeplearning4j.models.fasttext.FastText
TextVectorizer - Interface in org.deeplearning4j.bagofwords.vectorizer
TfidfVectorizer - Class in org.deeplearning4j.bagofwords.vectorizer
TfidfVectorizer() - Constructor for class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer
TfidfVectorizer.Builder - Class in org.deeplearning4j.bagofwords.vectorizer
tfidfWord(String, long, long) - Method in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer
toEncodedJson() - Method in class org.deeplearning4j.models.embeddings.loader.VectorsConfiguration
toInputMatrix() - Method in class org.deeplearning4j.text.movingwindow.WordConverter
toInputMatrix(List<Window>, Word2Vec) - Static method in class org.deeplearning4j.text.movingwindow.WordConverter
toJson() - Method in class org.deeplearning4j.models.embeddings.loader.VectorsConfiguration
toJson() - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
toJson() - Method in class org.deeplearning4j.models.word2vec.Word2Vec
toJson() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
toJson() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyWord
toJSON() - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
toJSON() - Method in class org.deeplearning4j.models.sequencevectors.sequence.ShallowSequenceElement
toJSON() - Method in class org.deeplearning4j.models.word2vec.VocabWord
tokenFor(long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
tokenFor(long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.
tokenFor(long) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
tokenFor(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache: Returns SequenceElement for specified label.
tokenFor(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.
tokenFor(String) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache: Returns the token (again not necessarily in the vocab) for this word
tokenizer(TokenizerFactory) - Method in class org.deeplearning4j.iterator.BertIterator.Builder: Specify the TokenizerFactory to use.
Tokenizer - Interface in org.deeplearning4j.text.tokenization.tokenizer
tokenizerFactory - Variable in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
tokenizerFactory - Variable in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
tokenizerFactory - Variable in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
tokenizerFactory - Variable in class org.deeplearning4j.iterator.BertIterator.Builder
tokenizerFactory - Variable in class org.deeplearning4j.iterator.BertIterator
tokenizerFactory - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer.Builder
tokenizerFactory - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer
tokenizerFactory - Variable in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
tokenizerFactory - Variable in class org.deeplearning4j.models.word2vec.Word2Vec
tokenizerFactory(TokenizerFactory) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder: This method defines TokenizerFactory to be used for strings tokenization during training PLEASE NOTE: If external VocabCache is used, the same TokenizerFactory should be used to keep derived tokens equal.
tokenizerFactory(TokenizerFactory) - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer.Builder
tokenizerFactory(TokenizerFactory) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder: This method defines TokenizerFactory to be used for strings tokenization during training PLEASE NOTE: If external VocabCache is used, the same TokenizerFactory should be used to keep derived tokens equal.
tokenizerFactory(TokenizerFactory) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder: The TokenizerFactory that should be used.
TokenizerFactory - Interface in org.deeplearning4j.text.tokenization.tokenizerfactory: Generates a tokenizer for a given string
TokenPreProcess - Interface in org.deeplearning4j.text.tokenization.tokenizer
tokens - Variable in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.
tokens() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache: Returns collection of SequenceElements from this vocabulary.
tokens() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.
tokens() - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache: All of the tokens in the cache, (not necessarily apart of the vocab)
toLabelMatrix(List<String>) - Method in class org.deeplearning4j.text.movingwindow.WordConverter
toLabelMatrix(List<String>, List<Window>) - Static method in class org.deeplearning4j.text.movingwindow.WordConverter
toString() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
toString() - Method in enum org.deeplearning4j.models.fasttext.FTLossFunctions
toString() - Method in enum org.deeplearning4j.models.fasttext.FTModels
toString() - Method in enum org.deeplearning4j.models.fasttext.FTOptions
toString() - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Edge
toString() - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
toString() - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Vertex
toString() - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
toString() - Method in class org.deeplearning4j.models.word2vec.VocabWord
toString() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.
toString() - Method in class org.deeplearning4j.text.movingwindow.Window
totalNumberOfDocs() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache: Returns total number of documents observed (if applicable)
totalNumberOfDocs() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.
totalNumberOfDocs() - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache: Returns the total of number of documents encountered in the corpus
totalNumSentences() - Method in interface org.deeplearning4j.iterator.LabeledPairSentenceProvider: Return the total number of sentences, or -1 if not available
totalNumSentences() - Method in interface org.deeplearning4j.iterator.LabeledSentenceProvider: Return the total number of sentences, or -1 if not available
totalNumSentences() - Method in class org.deeplearning4j.iterator.provider.CollectionLabeledPairSentenceProvider
totalNumSentences() - Method in class org.deeplearning4j.iterator.provider.CollectionLabeledSentenceProvider
totalNumSentences() - Method in class org.deeplearning4j.iterator.provider.FileLabeledSentenceProvider
totalNumSentences() - Method in class org.deeplearning4j.iterator.provider.LabelAwareConverter
totalOutcomes() - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
totalOutcomes() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
totalWordOccurrences() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache: Returns total number of elements observed
totalWordOccurrences() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.

The total number of word occurrences
totalWordOccurrences() - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache: The total number of word occurrences
totalWords() - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex: Total number of words in the index
totalWordsBeyondLimit() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
trainElementsRepresentation(boolean) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder: Deprecated.
trainElementsRepresentation(boolean) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder: This method defines, if words representation should be build together with documents representations.
trainElementsRepresentation(boolean) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
trainElementsRepresentation(boolean) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder: This method is hardcoded to TRUE, since that's whole point of Word2Vec
trainElementsVectors - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
trainElementsVectors - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
trainSequence(Sequence<T>, AtomicLong, double) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors
trainSequencesRepresentation(boolean) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder: Deprecated.
trainSequencesRepresentation(boolean) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder: This method is hardcoded to TRUE, since that's whole point of ParagraphVectors
trainSequencesRepresentation(boolean) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
trainSequencesRepresentation(boolean) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder: This method is hardcoded to FALSE, since that's whole point of Word2Vec
trainSequenceVectors - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
trainSequenceVectors - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
trainWordVectors(boolean) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder: This method defines, if words representations should be build together with documents representations.
transferBackToVocabCache() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
transferBackToVocabCache(VocabCache) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
transferBackToVocabCache(VocabCache, boolean) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder: This method is required for compatibility purposes.
transferVocabulary(VocabCache<T>, boolean) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor
transform() - Method in class org.deeplearning4j.text.inputsanitation.InputHomogenization: Returns the normalized text passed in via constructor
transform(String) - Method in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer
transform(String) - Method in interface org.deeplearning4j.bagofwords.vectorizer.TextVectorizer: Transforms the matrix
transform(String) - Method in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer: Transforms the matrix
transform(List<String>) - Method in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer
transform(List<String>) - Method in interface org.deeplearning4j.bagofwords.vectorizer.TextVectorizer: Transforms the matrix
transform(List<String>) - Method in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer
transformToSequence(String) - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer
transformToSequence(V) - Method in interface org.deeplearning4j.models.sequencevectors.transformers.SequenceTransformer: This is generic method for transformation data from any format to Sequence of SequenceElement.
truncateVocabulary() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder: The same as truncateVocabulary(this.minWordFrequency)
truncateVocabulary(int) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder: All words with frequency below threshold wii be removed

U

underlyingHas - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.ParallelTransformerIterator
underlyingIterable - Variable in class org.deeplearning4j.text.documentiterator.SimpleLabelAwareIterator
underlyingIterator - Variable in class org.deeplearning4j.models.sequencevectors.iterators.SynchronizedSequenceIterator
UNK - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
unknownElement - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
unknownElement - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors
unknownElement(VocabWord) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder: This method allows you to specify SequenceElement that will be used as UNK element, if UNK is used
unknownElement(VocabWord) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder: This method allows you to specify SequenceElement that will be used as UNK element, if UNK is used
unknownElement(T) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder: This method allows you to specify SequenceElement that will be used as UNK element, if UNK is used
unknownElement(V) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder: Deprecated.
unknownWordHandling(CnnSentenceDataSetIterator.UnknownWordHandling) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder: Specify how unknown words (those that don't have a word vector in the provided WordVectors instance) should be handled.
unloadBinaryModel() - Method in class org.deeplearning4j.models.fasttext.FastText
unlock() - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex: Unlock the index
UNSUPERVISED - org.deeplearning4j.iterator.BertIterator.Task
unsupervisedLabelFormat - Variable in class org.deeplearning4j.iterator.BertIterator.Builder
unsupervisedLabelFormat - Variable in class org.deeplearning4j.iterator.BertIterator
unsupervisedLabelFormat(BertIterator.UnsupervisedLabelFormat) - Method in class org.deeplearning4j.iterator.BertIterator.Builder: Used only for unsupervised training (i.e., when task is set to BertIterator.Task.UNSUPERVISED for learning a masked language model.
update() - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
update(Environment, Event) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
updateHuffmanCodes() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder: build binary tree ordered by counter.
updateWordsOccurrences() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
updateWordsOccurrences() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.
updateWordsOccurrences() - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache: Updates counters
useAbsolutePathAsLabel(boolean) - Method in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator.Builder
useAdaGrad - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
useAdaGrad - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
useAdaGrad - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
useAdaGrad - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
useAdaGrad - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
useAdaGrad - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
useAdaGrad - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
useAdaGrad(boolean) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
useAdaGrad(boolean) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder: Deprecated.
useAdaGrad(boolean) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder: This method defines whether adaptive gradients should be used or not
useAdaGrad(boolean) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder: Deprecated.
useAdaGrad(boolean) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder: This method defines whether adaptive gradients should be used or not
useAdaGrad(boolean) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor.Builder: Defines, if adaptive gradients should be created during vocabulary mastering
useAdeGrad - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
useExistingWordVectors(WordVectors) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder: Deprecated.
useExistingWordVectors(WordVectors) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder: This method allows you to use pre-built WordVectors model (e.g.
useExistingWordVectors(WordVectors) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder: This method allows you to use pre-built WordVectors model (e.g.
useExistingWordVectors(WordVectors) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder: This method has no effect for Word2Vec
useHierarchicSoftmax - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
useHierarchicSoftmax(boolean) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
useHierarchicSoftmax(boolean) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder: Deprecated.
useHierarchicSoftmax(boolean) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder: This method enables/disables Hierarchic softmax Default value: enabled
useHierarchicSoftmax(boolean) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder: Enable/disable hierarchic softmax
useHierarchicSoftmax(boolean) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder: This method enables/disables Hierarchic softmax Default value: enabled
useHS - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
useHS - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
useNormalizedWordVectors(boolean) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder: Whether normalized word vectors should be used.
usePreciseMode(boolean) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
usePreciseMode(boolean) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
usePreciseWeightInit(boolean) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder: Deprecated.
usePreciseWeightInit(boolean) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
usePreciseWeightInit(boolean) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder: If set to true, initial weights for elements/sequences will be derived from elements themself.
usePreciseWeightInit(boolean) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
useUnknown - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
useUnknown - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
useUnknown(boolean) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder: Deprecated.
useUnknown(boolean) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder: This method allows you to specify, if UNK word should be used internally
useUnknown(boolean) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder: This method allows you to specify, if UNK word should be used internally
useUnknown(boolean) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder: This method allows you to specify, if UNK word should be used internally
UseUnknownVector - org.deeplearning4j.iterator.CnnSentenceDataSetIterator.UnknownWordHandling
useVariableWindow(int...) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder: Deprecated.
useVariableWindow(int...) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder: This method has no effect for ParagraphVectors
useVariableWindow(int...) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder: This method allows to use variable window size.
useVariableWindow(int...) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder: This method allows to use variable window size.
Util - Class in org.deeplearning4j.text.movingwindow

V

validateEvent(ListenerEvent, long) - Method in interface org.deeplearning4j.models.sequencevectors.interfaces.VectorsListener: This method is called prior each processEvent call, to check if this specific VectorsListener implementation is viable for specific event
validateEvent(ListenerEvent, long) - Method in class org.deeplearning4j.models.sequencevectors.listeners.ScoreListener: Deprecated.
validateEvent(ListenerEvent, long) - Method in class org.deeplearning4j.models.sequencevectors.listeners.SerializingListener: This method is called prior each processEvent call, to check if this specific VectorsListener implementation is viable for specific event
validateEvent(ListenerEvent, long) - Method in class org.deeplearning4j.models.sequencevectors.listeners.SimilarityListener
valueOf(String) - Static method in enum org.deeplearning4j.iterator.BertIterator.FeatureArrays: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.iterator.BertIterator.LengthHandling: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.iterator.BertIterator.Task: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.iterator.BertIterator.UnsupervisedLabelFormat: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Format: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.iterator.CnnSentenceDataSetIterator.UnknownWordHandling: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.models.fasttext.FTLossFunctions: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.models.fasttext.FTModels: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.models.fasttext.FTOptions: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.models.sequencevectors.enums.ListenerEvent: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.models.sequencevectors.graph.enums.NoEdgeHandling: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.models.sequencevectors.graph.enums.PopularityMode: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.models.sequencevectors.graph.enums.SamplingMode: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.models.sequencevectors.graph.enums.SpreadSpectrum: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.models.sequencevectors.graph.enums.WalkDirection: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.models.sequencevectors.graph.enums.WalkMode: Returns the enum constant of this type with the specified name.
values() - Static method in enum org.deeplearning4j.iterator.BertIterator.FeatureArrays: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.iterator.BertIterator.LengthHandling: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.iterator.BertIterator.Task: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.iterator.BertIterator.UnsupervisedLabelFormat: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Format: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.iterator.CnnSentenceDataSetIterator.UnknownWordHandling: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.models.fasttext.FTLossFunctions: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.models.fasttext.FTModels: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.models.fasttext.FTOptions: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.models.sequencevectors.enums.ListenerEvent: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.models.sequencevectors.graph.enums.NoEdgeHandling: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.models.sequencevectors.graph.enums.PopularityMode: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.models.sequencevectors.graph.enums.SamplingMode: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.models.sequencevectors.graph.enums.SpreadSpectrum: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.models.sequencevectors.graph.enums.WalkDirection: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.models.sequencevectors.graph.enums.WalkMode: Returns an array containing the constants of this enum type, in the order they are declared.
variableWindows - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
variableWindows - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
variableWindows - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
variableWindows - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
vector(String) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
vector(String) - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable
vectorize() - Method in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer: Vectorizes the input source in to a dataset
vectorize() - Method in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer: Vectorizes the input source in to a dataset
vectorize(File, String) - Method in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer
vectorize(File, String) - Method in interface org.deeplearning4j.bagofwords.vectorizer.TextVectorizer
vectorize(File, String) - Method in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer
vectorize(InputStream, String) - Method in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer: Text coming from an input stream considered as one document
vectorize(InputStream, String) - Method in interface org.deeplearning4j.bagofwords.vectorizer.TextVectorizer: Text coming from an input stream considered as one document
vectorize(InputStream, String) - Method in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer: Text coming from an input stream considered as one document
vectorize(String, String) - Method in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer
vectorize(String, String) - Method in interface org.deeplearning4j.bagofwords.vectorizer.TextVectorizer: Vectorizes the passed in text treating it as one document
vectorize(String, String) - Method in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer: Vectorizes the passed in text treating it as one document
vectorLength - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
vectorLength - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
vectorLength - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
vectorLength - Variable in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.BinaryReader
vectorLength(int) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
vectors() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
vectors() - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable: Iterates through all of the vectors in the cache
VectorsConfiguration - Class in org.deeplearning4j.models.embeddings.loader
VectorsConfiguration() - Constructor for class org.deeplearning4j.models.embeddings.loader.VectorsConfiguration
vectorSize() - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
vectorSize() - Method in class org.deeplearning4j.models.fasttext.FastText
vectorSize() - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
VectorsListener<T extends SequenceElement> - Interface in org.deeplearning4j.models.sequencevectors.interfaces
vectorsListeners - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
Vertex<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.graph.primitives
Vertex() - Constructor for class org.deeplearning4j.models.sequencevectors.graph.primitives.Vertex
VertexComparator(IGraph<V, E>) - Constructor for class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker.VertexComparator
VertexFactory<T extends SequenceElement> - Interface in org.deeplearning4j.models.sequencevectors.graph.vertex
vertexID() - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Vertex
vocab - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
vocab - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
vocab() - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors: Vocab for the vectors
vocab() - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
vocab() - Method in class org.deeplearning4j.models.fasttext.FastText
vocab() - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec: Vocab for the vectors
vocabCache - Variable in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
vocabCache - Variable in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
vocabCache - Variable in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
vocabCache - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
vocabCache - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
vocabCache - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
vocabCache - Variable in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
vocabCache - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
vocabCache - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer.Builder
vocabCache - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer
vocabCache - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer.Builder
vocabCache(VocabCache<VocabWord>) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder: This method allows to define external VocabCache to be used
vocabCache(VocabCache<VocabWord>) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder: This method allows to define external VocabCache to be used
vocabCache(VocabCache<T>) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder: You can pass externally built vocabCache object, containing vocabulary
vocabCache(VocabCache<V>) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder: Deprecated.
VocabCache<T extends SequenceElement> - Interface in org.deeplearning4j.models.word2vec.wordstore
VocabConstructor<T extends SequenceElement> - Class in org.deeplearning4j.models.word2vec.wordstore
VocabConstructor.Builder<T extends SequenceElement> - Class in org.deeplearning4j.models.word2vec.wordstore
VocabConstructor.VocabRunnable - Class in org.deeplearning4j.models.word2vec.wordstore
vocabExists() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache: Returns true, if number of elements in vocabulary > 0, false otherwise
vocabExists() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.
vocabExists() - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache: Vocab exists already
vocabId - Variable in class org.deeplearning4j.models.word2vec.VocabWord
vocabKeysAsList - Variable in class org.deeplearning4j.iterator.BertIterator
vocabLimit - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
vocabLimit - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors
vocabMap - Variable in class org.deeplearning4j.iterator.BertIterator.Builder
vocabMap - Variable in class org.deeplearning4j.iterator.BertIterator
vocabMap(Map<String, Integer>) - Method in class org.deeplearning4j.iterator.BertIterator.Builder: Provide the vocabulary as a map.
VocabRunnable(AbstractCache<T>, Sequence<T>, AtomicLong, AtomicLong) - Constructor for class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor.VocabRunnable
vocabs - Variable in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.
vocabSize() - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
vocabSize() - Method in class org.deeplearning4j.models.fasttext.FastText
vocabSize() - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
VocabularyHolder - Class in org.deeplearning4j.models.word2vec.wordstore
VocabularyHolder() - Constructor for class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder: Default constructor
VocabularyHolder(VocabCache<? extends SequenceElement>, boolean) - Constructor for class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder: Builds VocabularyHolder from VocabCache.
VocabularyHolder.Builder - Class in org.deeplearning4j.models.word2vec.wordstore
VocabularyWord - Class in org.deeplearning4j.models.word2vec.wordstore
VocabularyWord() - Constructor for class org.deeplearning4j.models.word2vec.wordstore.VocabularyWord
VocabularyWord(String) - Constructor for class org.deeplearning4j.models.word2vec.wordstore.VocabularyWord
VocabWord - Class in org.deeplearning4j.models.word2vec: Intermediate layers of the neural network
VocabWord() - Constructor for class org.deeplearning4j.models.word2vec.VocabWord
VocabWord(double, String) - Constructor for class org.deeplearning4j.models.word2vec.VocabWord
VocabWord(double, String, long) - Constructor for class org.deeplearning4j.models.word2vec.VocabWord
VocabWordFactory - Class in org.deeplearning4j.models.sequencevectors.serialization
VocabWordFactory() - Constructor for class org.deeplearning4j.models.sequencevectors.serialization.VocabWordFactory
vocabWords() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache: Returns collection of SequenceElements stored in this vocabulary
vocabWords() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.

Returns all of the vocab word nodes
vocabWords() - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache: Returns all of the vocab word nodes
VocabWork - Class in org.deeplearning4j.models.word2vec
VocabWork(AtomicInteger, String, boolean) - Constructor for class org.deeplearning4j.models.word2vec.VocabWork
VocabWork(AtomicInteger, String, boolean, String) - Constructor for class org.deeplearning4j.models.word2vec.VocabWork
VocabWork(AtomicInteger, String, boolean, List<String>) - Constructor for class org.deeplearning4j.models.word2vec.VocabWork

W

walk(Vertex<V>, int) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker
walkDirection - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker.Builder
walkDirection - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker
WalkDirection - Enum in org.deeplearning4j.models.sequencevectors.graph.enums
walker - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer.Builder
walker - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer
walkLength - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker.Builder
walkLength - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker
walkLength - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker.Builder
walkLength - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker
WalkMode - Enum in org.deeplearning4j.models.sequencevectors.graph.enums
WEIGHTED - org.deeplearning4j.models.sequencevectors.graph.enums.WalkMode
WeightedWalker<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.graph.walkers.impl
WeightedWalker() - Constructor for class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.WeightedWalker
WeightedWalker.Builder<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.graph.walkers.impl
WeightIterator() - Constructor for class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.WeightIterator
WeightLookupTable<T extends SequenceElement> - Interface in org.deeplearning4j.models.embeddings: General weight lookup table
window - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
window - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
window - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
window - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
window - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
window - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
Window - Class in org.deeplearning4j.text.movingwindow
Window(Collection<String>, int, int) - Constructor for class org.deeplearning4j.text.movingwindow.Window: Creates a window with a context of size 3
Window(Collection<String>, int, int, int) - Constructor for class org.deeplearning4j.text.movingwindow.Window: Initialize a window with the given size
WindowConverter - Class in org.deeplearning4j.text.movingwindow
windowForWordInPosition(int, int, List<String>) - Static method in class org.deeplearning4j.text.movingwindow.Windows: Creates a sliding window from text
windows(InputStream, int) - Static method in class org.deeplearning4j.text.movingwindow.Windows: Constructs a list of window of size windowSize.
windows(InputStream, TokenizerFactory, int) - Static method in class org.deeplearning4j.text.movingwindow.Windows: Constructs a list of window of size windowSize.
windows(String) - Static method in class org.deeplearning4j.text.movingwindow.Windows: Constructs a list of window of size windowSize.
windows(String, int) - Static method in class org.deeplearning4j.text.movingwindow.Windows: Constructs a list of window of size windowSize.
windows(String, TokenizerFactory, int, WordVectors) - Static method in class org.deeplearning4j.text.movingwindow.Windows: Constructs a list of window of size windowSize.
windows(String, TokenizerFactory) - Static method in class org.deeplearning4j.text.movingwindow.Windows: Constructs a list of window of size windowSize.
windows(List<String>, int) - Static method in class org.deeplearning4j.text.movingwindow.Windows: Constructs a list of window of size windowSize
Windows - Class in org.deeplearning4j.text.movingwindow
windowSize(int) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder: Deprecated.
windowSize(int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder: This method defines context window size
windowSize(int) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder: Sets window size for skip-Gram training
windowSize(int) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder: This method defines context window size
Word2Vec - Class in org.deeplearning4j.models.word2vec
Word2Vec() - Constructor for class org.deeplearning4j.models.word2vec.Word2Vec
Word2Vec.Builder - Class in org.deeplearning4j.models.word2vec
Word2VecDataSetIterator - Class in org.deeplearning4j.models.word2vec.iterator
Word2VecDataSetIterator(Word2Vec, LabelAwareSentenceIterator, List<String>) - Constructor for class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator: Initializes this iterator with homogenization and adding labels and a batch size of 10
Word2VecDataSetIterator(Word2Vec, LabelAwareSentenceIterator, List<String>, int) - Constructor for class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator: Initializes this iterator with homogenization and adding labels
Word2VecDataSetIterator(Word2Vec, LabelAwareSentenceIterator, List<String>, int, boolean, boolean) - Constructor for class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator: Allows for customization of all of the params of the iterator
wordAtIndex(int) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache: Returns the label of the element at specified Huffman index
wordAtIndex(int) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.

Returns the word contained at the given index or null
wordAtIndex(int) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache: Returns the word contained at the given index or null
WordConverter - Class in org.deeplearning4j.text.movingwindow
WordConverter(List<String>, Word2Vec) - Constructor for class org.deeplearning4j.text.movingwindow.WordConverter
wordFor(long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
wordFor(long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.
wordFor(long) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
wordFor(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache: Returns SequenceElement for specified label
wordFor(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.
wordFor(String) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
wordFrequencies - Variable in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.
wordFrequency(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache: Returns the SequenceElement's frequency over training corpus
wordFrequency(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.

Returns the number of times the word has occurred
wordFrequency(String) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache: Returns the number of times the word has occurred
words() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache: Returns collection of labels available in this vocabulary
words() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache: Deprecated.

Returns all of the words in the vocab
words() - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache: Returns all of the words in the vocab
words() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder: Returns sorted list of words in vocabulary.
WordSimilarity() - Constructor for class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils.WordSimilarity
wordsNearest(Collection<String>, Collection<String>, int) - Method in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
wordsNearest(String, int) - Method in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
wordsNearest(String, int) - Method in class org.deeplearning4j.models.embeddings.reader.impl.FlatModelUtils: This method does full scan against whole vocabulary, building descending list of similar words
wordsNearest(String, int) - Method in interface org.deeplearning4j.models.embeddings.reader.ModelUtils: This method implementations should return N nearest elements labels to given element's label
wordsNearest(String, int) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors: Get the top n words most similar to the given word
wordsNearest(String, int) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl: Get the top n words most similar to the given word
wordsNearest(String, int) - Method in class org.deeplearning4j.models.fasttext.FastText
wordsNearest(String, int) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec: Get the top n words most similar to the given word PLEASE NOTE: This method is not available in this implementation.
wordsNearest(Collection<String>, Collection<String>, int) - Method in interface org.deeplearning4j.models.embeddings.reader.ModelUtils: Words nearest based on positive and negative words
wordsNearest(Collection<String>, Collection<String>, int) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors: Words nearest based on positive and negative words
wordsNearest(Collection<String>, Collection<String>, int) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl: Words nearest based on positive and negative words
wordsNearest(Collection<String>, Collection<String>, int) - Method in class org.deeplearning4j.models.fasttext.FastText
wordsNearest(Collection<String>, Collection<String>, int) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec: Words nearest based on positive and negative words PLEASE NOTE: This method is not available in this implementation.
wordsNearest(INDArray, int) - Method in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils: Words nearest based on positive and negative words * @param top the top n words
wordsNearest(INDArray, int) - Method in class org.deeplearning4j.models.embeddings.reader.impl.FlatModelUtils: This method does full scan against whole vocabulary, building descending list of similar words
wordsNearest(INDArray, int) - Method in interface org.deeplearning4j.models.embeddings.reader.ModelUtils: Words nearest based on positive and negative words * @param top the top n words
wordsNearest(INDArray, int) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors
wordsNearest(INDArray, int) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl: Words nearest based on positive and negative words * @param top the top n words
wordsNearest(INDArray, int) - Method in class org.deeplearning4j.models.fasttext.FastText
wordsNearest(INDArray, int) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
wordsNearestSum(String, int) - Method in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils: Get the top n words most similar to the given word
wordsNearestSum(String, int) - Method in interface org.deeplearning4j.models.embeddings.reader.ModelUtils
wordsNearestSum(String, int) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors: Get the top n words most similar to the given word
wordsNearestSum(String, int) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl: Get the top n words most similar to the given word
wordsNearestSum(String, int) - Method in class org.deeplearning4j.models.fasttext.FastText
wordsNearestSum(String, int) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec: Get the top n words most similar to the given word PLEASE NOTE: This method is not available in this implementation.
wordsNearestSum(Collection<String>, Collection<String>, int) - Method in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils: Words nearest based on positive and negative words
wordsNearestSum(Collection<String>, Collection<String>, int) - Method in interface org.deeplearning4j.models.embeddings.reader.ModelUtils
wordsNearestSum(Collection<String>, Collection<String>, int) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors: Words nearest based on positive and negative words
wordsNearestSum(Collection<String>, Collection<String>, int) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl: Words nearest based on positive and negative words
wordsNearestSum(Collection<String>, Collection<String>, int) - Method in class org.deeplearning4j.models.fasttext.FastText
wordsNearestSum(Collection<String>, Collection<String>, int) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec: Words nearest based on positive and negative words PLEASE NOTE: This method is not available in this implementation.
wordsNearestSum(INDArray, int) - Method in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils: Words nearest based on positive and negative words * @param top the top n words
wordsNearestSum(INDArray, int) - Method in interface org.deeplearning4j.models.embeddings.reader.ModelUtils
wordsNearestSum(INDArray, int) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors
wordsNearestSum(INDArray, int) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl: Words nearest based on positive and negative words * @param top the top n words
wordsNearestSum(INDArray, int) - Method in class org.deeplearning4j.models.fasttext.FastText
wordsNearestSum(INDArray, int) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
wordVectors(WordVectors) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder: Provide the WordVectors instance that should be used for training
WordVectors - Interface in org.deeplearning4j.models.embeddings.wordvectors
WordVectorSerializer - Class in org.deeplearning4j.models.embeddings.loader
WordVectorSerializer.BinaryReader - Class in org.deeplearning4j.models.embeddings.loader
WordVectorSerializer.CSVReader - Class in org.deeplearning4j.models.embeddings.loader
WordVectorSerializer.Reader - Interface in org.deeplearning4j.models.embeddings.loader
WordVectorSerializer.ReadHelper - Class in org.deeplearning4j.models.embeddings.loader: Helper static methods to read data from input stream.
WordVectorsImpl<T extends SequenceElement> - Class in org.deeplearning4j.models.embeddings.wordvectors
WordVectorsImpl() - Constructor for class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
workers - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
workers - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
workers - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
workers - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
workers(int) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder: Deprecated.
workers(int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder: This method defines maximum number of concurrent threads available for training
workers(int) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder: Sets number of worker threads to be used in calculations
workers(int) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder: This method defines maximum number of concurrent threads available for training
writeFullModel(Word2Vec, String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: Deprecated.
Use writeWord2VecModel() method instead
writeLookupTable(WeightLookupTable<T>, File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: This method saves table of weights to file
writeParagraphVectors(ParagraphVectors, File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: This method saves ParagraphVectors model into compressed zip file
writeParagraphVectors(ParagraphVectors, OutputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: This method saves ParagraphVectors model into compressed zip file and sends it to output stream
writeParagraphVectors(ParagraphVectors, String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: This method saves ParagraphVectors model into compressed zip file located at path
writeSequenceVectors(SequenceVectors<T>, OutputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: This method saves specified SequenceVectors model to target OutputStream
writeSequenceVectors(SequenceVectors<T>, SequenceElementFactory<T>, File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: This method saves specified SequenceVectors model to target file
writeSequenceVectors(SequenceVectors<T>, SequenceElementFactory<T>, OutputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: This method saves specified SequenceVectors model to target OutputStream
writeSequenceVectors(SequenceVectors<T>, SequenceElementFactory<T>, String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: This method saves specified SequenceVectors model to target file path
writeTsneFormat(Word2Vec, INDArray, File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: Write the tsne format
writeVocabCache(VocabCache<VocabWord>, File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: This method saves vocab cache to provided File.
writeVocabCache(VocabCache<VocabWord>, OutputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: This method saves vocab cache to provided OutputStream.
writeWord2Vec(Word2Vec, OutputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: This method saves Word2Vec model to output stream
writeWord2VecModel(Word2Vec, File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: This method saves Word2Vec model into compressed zip file PLEASE NOTE: This method saves FULL model, including syn0 AND syn1
writeWord2VecModel(Word2Vec, OutputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: This method saves Word2Vec model into compressed zip file and sends it to output stream PLEASE NOTE: This method saves FULL model, including syn0 AND syn1
writeWord2VecModel(Word2Vec, String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: This method saves Word2Vec model into compressed zip file PLEASE NOTE: This method saves FULL model, including syn0 AND syn1
writeWordVectors(FastText, File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: This method loads FastText model to file
writeWordVectors(ParagraphVectors, File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: Deprecated.
Use WordVectorSerializer.writeParagraphVectors(ParagraphVectors, File)
writeWordVectors(ParagraphVectors, String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: Deprecated.
Use WordVectorSerializer.writeParagraphVectors(ParagraphVectors, String)
writeWordVectors(Word2Vec, BufferedWriter) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: Deprecated.
Use WordVectorSerializer.writeWord2Vec(Word2Vec, OutputStream)
writeWordVectors(Word2Vec, File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: Deprecated.
Use WordVectorSerializer.writeWord2VecModel(Word2Vec, File)
writeWordVectors(Word2Vec, OutputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: Deprecated.
Use WordVectorSerializer.writeWord2Vec(Word2Vec, OutputStream)
writeWordVectors(Word2Vec, String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: Deprecated.
Use WordVectorSerializer.writeWord2VecModel(Word2Vec, String)
writeWordVectors(InMemoryLookupTable, InMemoryLookupCache, String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: Deprecated.
Use WordVectorSerializer.writeWord2VecModel(Word2Vec, File) instead
writeWordVectors(WeightLookupTable<T>, File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: This method writes word vectors to the given file.
writeWordVectors(WeightLookupTable<T>, OutputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: This method writes word vectors to the given OutputStream.
writeWordVectors(WeightLookupTable<T>, String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: This method writes word vectors to the given path.
writeWordVectors(ParagraphVectors, OutputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer: Deprecated.
Use WordVectorSerializer.writeParagraphVectors(ParagraphVectors, OutputStream)
WRONG - Static variable in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils

A B C D E F G H I J L M N O P R S T U V W
All Classes All Packages