Uses of Class
org.deeplearning4j.models.word2vec.VocabWord

Packages that use VocabWord

Package	Description
org.deeplearning4j.models.embeddings
org.deeplearning4j.models.embeddings.inmemory
org.deeplearning4j.models.glove
org.deeplearning4j.models.paragraphvectors
org.deeplearning4j.models.word2vec
org.deeplearning4j.models.word2vec.actor
org.deeplearning4j.models.word2vec.wordstore
org.deeplearning4j.models.word2vec.wordstore.inmemory
org.deeplearning4j.scaleout.perform.models.glove
org.deeplearning4j.scaleout.perform.models.glove.iterator
org.deeplearning4j.scaleout.perform.models.word2vec
org.deeplearning4j.scaleout.perform.models.word2vec.iterator
org.deeplearning4j.text.invertedindex

Uses of VocabWord in org.deeplearning4j.models.embeddings

Methods in org.deeplearning4j.models.embeddings with parameters of type VocabWord

Modifier and Type	Method and Description
void	WeightLookupTable.iterate(VocabWord w1, VocabWord w2) Iterate on the given 2 vocab words
void	WeightLookupTable.iterateSample(VocabWord w1, VocabWord w2, AtomicLong nextRandom, double alpha) Iterate on the given 2 vocab words

Uses of VocabWord in org.deeplearning4j.models.embeddings.inmemory

Methods in org.deeplearning4j.models.embeddings.inmemory with parameters of type VocabWord

Modifier and Type	Method and Description
void	InMemoryLookupTable.iterate(VocabWord w1, VocabWord w2) Iterate on the given 2 vocab words
void	InMemoryLookupTable.iterateSample(VocabWord w1, VocabWord w2, AtomicLong nextRandom, double alpha) Iterate on the given 2 vocab words

Uses of VocabWord in org.deeplearning4j.models.glove

Fields in org.deeplearning4j.models.glove with type parameters of type VocabWord

Modifier and Type	Field and Description
protected Queue<Pair<Integer,List<Pair<VocabWord,VocabWord>>>>	Glove.jobQueue
protected Queue<Pair<Integer,List<Pair<VocabWord,VocabWord>>>>	Glove.jobQueue

Methods in org.deeplearning4j.models.glove that return types with arguments of type VocabWord

Modifier and Type	Method and Description
Iterator<Pair<VocabWord,VocabWord>>	CoOccurrences.coOccurrenceIteratorVocab()
Iterator<Pair<VocabWord,VocabWord>>	CoOccurrences.coOccurrenceIteratorVocab()
Iterator<List<Pair<VocabWord,VocabWord>>>	CoOccurrences.coOccurrenceIteratorVocabBatch(int batchSize)
Iterator<List<Pair<VocabWord,VocabWord>>>	CoOccurrences.coOccurrenceIteratorVocabBatch(int batchSize)
List<Pair<VocabWord,VocabWord>>	CoOccurrences.CoOccurrenceBatchIterator.next()
List<Pair<VocabWord,VocabWord>>	CoOccurrences.CoOccurrenceBatchIterator.next()
Pair<VocabWord,VocabWord>	CoOccurrences.CoOccurrenceIterator.next()
Pair<VocabWord,VocabWord>	CoOccurrences.CoOccurrenceIterator.next()

Methods in org.deeplearning4j.models.glove with parameters of type VocabWord

Modifier and Type	Method and Description
void	GloveWeightLookupTable.iterateSample(VocabWord w1, VocabWord w2, AtomicLong nextRandom, double alpha)
double	GloveWeightLookupTable.iterateSample(VocabWord w1, VocabWord w2, double score) glove iteration

Uses of VocabWord in org.deeplearning4j.models.paragraphvectors

Fields in org.deeplearning4j.models.paragraphvectors with type parameters of type VocabWord

Modifier and Type	Field and Description
protected Queue<LinkedList<Pair<List<VocabWord>,Collection<VocabWord>>>>	ParagraphVectors.jobQueue
protected Queue<LinkedList<Pair<List<VocabWord>,Collection<VocabWord>>>>	ParagraphVectors.jobQueue

Method parameters in org.deeplearning4j.models.paragraphvectors with type arguments of type VocabWord

Modifier and Type	Method and Description
protected void	ParagraphVectors.addWords(List<VocabWord> sentence, AtomicLong nextRandom, List<VocabWord> currMiniBatch)
protected void	ParagraphVectors.addWords(List<VocabWord> sentence, AtomicLong nextRandom, List<VocabWord> currMiniBatch)
void	ParagraphVectors.dbow(int i, Pair<List<VocabWord>,Collection<VocabWord>> sentenceWithLabel, int b, AtomicLong nextRandom, double alpha) Train the distributed bag of words model
void	ParagraphVectors.dbow(int i, Pair<List<VocabWord>,Collection<VocabWord>> sentenceWithLabel, int b, AtomicLong nextRandom, double alpha) Train the distributed bag of words model
void	ParagraphVectors.trainSentence(Pair<List<VocabWord>,Collection<VocabWord>> sentenceWithLabel, AtomicLong nextRandom, double alpha) Train on a list of vocab words
void	ParagraphVectors.trainSentence(Pair<List<VocabWord>,Collection<VocabWord>> sentenceWithLabel, AtomicLong nextRandom, double alpha) Train on a list of vocab words

Uses of VocabWord in org.deeplearning4j.models.word2vec

Methods in org.deeplearning4j.models.word2vec that return VocabWord

Modifier and Type	Method and Description
static VocabWord	VocabWord.none()
VocabWord	VocabWord.read(DataInputStream dos)

Methods in org.deeplearning4j.models.word2vec with parameters of type VocabWord

Modifier and Type	Method and Description
int	VocabWord.compareTo(VocabWord o)
void	Word2Vec.iterate(VocabWord w1, VocabWord w2, AtomicLong nextRandom, double alpha) Train the word vector on the given words

Method parameters in org.deeplearning4j.models.word2vec with type arguments of type VocabWord

Modifier and Type	Method and Description
protected void	Word2Vec.addWords(List<VocabWord> sentence, AtomicLong nextRandom, List<VocabWord> currMiniBatch)
protected void	Word2Vec.addWords(List<VocabWord> sentence, AtomicLong nextRandom, List<VocabWord> currMiniBatch)
void	Word2Vec.skipGram(int i, List<VocabWord> sentence, int b, AtomicLong nextRandom, double alpha) Train via skip gram
void	Word2Vec.trainSentence(List<VocabWord> sentence, AtomicLong nextRandom, double alpha) Train on a list of vocab words

Constructor parameters in org.deeplearning4j.models.word2vec with type arguments of type VocabWord

Constructor and Description
Huffman(Collection<VocabWord> words)

Uses of VocabWord in org.deeplearning4j.models.word2vec.actor

Methods in org.deeplearning4j.models.word2vec.actor that return types with arguments of type VocabWord

Modifier and Type	Method and Description
List<VocabWord>	SkipGramMessage.getSentence()

Method parameters in org.deeplearning4j.models.word2vec.actor with type arguments of type VocabWord

Modifier and Type	Method and Description
protected void	VocabActor.processToken(String token, Set<String> encountered, List<VocabWord> words, boolean stem)
void	SkipGramMessage.setSentence(List<VocabWord> sentence)

Constructor parameters in org.deeplearning4j.models.word2vec.actor with type arguments of type VocabWord

Constructor and Description
SkipGramMessage(int i, int b, List<VocabWord> sentence)

Uses of VocabWord in org.deeplearning4j.models.word2vec.wordstore

Methods in org.deeplearning4j.models.word2vec.wordstore that return VocabWord

Modifier and Type	Method and Description
VocabWord	VocabCache.tokenFor(String word) Returns the token (again not necessarily in the vocab) for this word
VocabWord	VocabCache.wordFor(String word)

Methods in org.deeplearning4j.models.word2vec.wordstore that return types with arguments of type VocabWord

Modifier and Type	Method and Description
Collection<VocabWord>	VocabCache.tokens() All of the tokens in the cache, (not necessarily apart of the vocab)
Collection<VocabWord>	VocabCache.vocabWords() Returns all of the vocab word nodes

Methods in org.deeplearning4j.models.word2vec.wordstore with parameters of type VocabWord

Modifier and Type	Method and Description
void	VocabCache.addToken(VocabWord word) Adds a token to the cache

Uses of VocabWord in org.deeplearning4j.models.word2vec.wordstore.inmemory

Methods in org.deeplearning4j.models.word2vec.wordstore.inmemory that return VocabWord

Modifier and Type	Method and Description
VocabWord	InMemoryLookupCache.tokenFor(String word)
VocabWord	InMemoryLookupCache.wordFor(String word)

Methods in org.deeplearning4j.models.word2vec.wordstore.inmemory that return types with arguments of type VocabWord

Modifier and Type	Method and Description
Collection<VocabWord>	InMemoryLookupCache.tokens()
Collection<VocabWord>	InMemoryLookupCache.vocabWords() Returns all of the vocab word nodes

Methods in org.deeplearning4j.models.word2vec.wordstore.inmemory with parameters of type VocabWord

Modifier and Type	Method and Description
void	InMemoryLookupCache.addToken(VocabWord word)

Uses of VocabWord in org.deeplearning4j.scaleout.perform.models.glove

Methods in org.deeplearning4j.scaleout.perform.models.glove that return types with arguments of type VocabWord

Modifier and Type	Method and Description
List<Pair<VocabWord,VocabWord>>	GloveWork.getCoOccurrences()
List<Pair<VocabWord,VocabWord>>	GloveWork.getCoOccurrences()
Map<Integer,VocabWord>	GloveWork.getIndexes()
Map<String,Pair<VocabWord,org.nd4j.linalg.api.ndarray.INDArray>>	GloveWork.getVectors()

Methods in org.deeplearning4j.scaleout.perform.models.glove with parameters of type VocabWord

Modifier and Type	Method and Description
double	GlovePerformer.iterateSample(GloveWork work, VocabWord w1, VocabWord w2, double score) glove iteration

Method parameters in org.deeplearning4j.scaleout.perform.models.glove with type arguments of type VocabWord

Modifier and Type	Method and Description
void	GloveWork.setCoOccurrences(List<Pair<VocabWord,VocabWord>> coOccurrences)
void	GloveWork.setCoOccurrences(List<Pair<VocabWord,VocabWord>> coOccurrences)
void	GloveWork.setIndexes(Map<Integer,VocabWord> indexes)
void	GloveWork.setVectors(Map<String,Pair<VocabWord,org.nd4j.linalg.api.ndarray.INDArray>> vectors)

Constructor parameters in org.deeplearning4j.scaleout.perform.models.glove with type arguments of type VocabWord

Constructor and Description
GloveWork(GloveWeightLookupTable table, List<Pair<VocabWord,VocabWord>> coOccurrences)
GloveWork(GloveWeightLookupTable table, List<Pair<VocabWord,VocabWord>> coOccurrences)

Uses of VocabWord in org.deeplearning4j.scaleout.perform.models.glove.iterator

Constructor parameters in org.deeplearning4j.scaleout.perform.models.glove.iterator with type arguments of type VocabWord

Constructor and Description
GloveJobIterator(Iterator<List<List<VocabWord>>> sentenceIterator, GloveWeightLookupTable table, VocabCache cache, org.deeplearning4j.scaleout.api.statetracker.StateTracker stateTracker)
GloveJobIterator(Iterator<List<List<VocabWord>>> sentenceIterator, GloveWeightLookupTable table, VocabCache cache, org.deeplearning4j.scaleout.api.statetracker.StateTracker stateTracker, int batchSize)

Uses of VocabWord in org.deeplearning4j.scaleout.perform.models.word2vec

Methods in org.deeplearning4j.scaleout.perform.models.word2vec that return types with arguments of type VocabWord

Modifier and Type	Method and Description
Map<Integer,VocabWord>	Word2VecWork.getIndexes()
Map<String,Pair<VocabWord,org.nd4j.linalg.api.ndarray.INDArray>>	Word2VecWork.getNegativeVectors()
List<List<VocabWord>>	Word2VecWork.getSentences()
Map<String,Pair<VocabWord,org.nd4j.linalg.api.ndarray.INDArray>>	Word2VecWork.getVectors()

Methods in org.deeplearning4j.scaleout.perform.models.word2vec with parameters of type VocabWord

Modifier and Type	Method and Description
void	Word2VecPerformer.iterateSample(Word2VecWork work, VocabWord w1, VocabWord w2, double alpha) Iterate on the given 2 vocab words

Method parameters in org.deeplearning4j.scaleout.perform.models.word2vec with type arguments of type VocabWord

Modifier and Type	Method and Description
void	Word2VecWork.setIndexes(Map<Integer,VocabWord> indexes)
void	Word2VecWork.setNegativeVectors(Map<String,Pair<VocabWord,org.nd4j.linalg.api.ndarray.INDArray>> negativeVectors)
void	Word2VecWork.setSentences(List<List<VocabWord>> sentences)
void	Word2VecWork.setVectors(Map<String,Pair<VocabWord,org.nd4j.linalg.api.ndarray.INDArray>> vectors)
void	Word2VecPerformer.skipGram(int i, List<VocabWord> sentence, int b, Word2VecWork work, double alpha) Train via skip gram
void	Word2VecPerformer.trainSentence(List<VocabWord> sentence, Word2VecWork work, double alpha) Train on a list of vocab words

Constructor parameters in org.deeplearning4j.scaleout.perform.models.word2vec with type arguments of type VocabWord

Constructor and Description
Word2VecWork(InMemoryLookupTable table, InMemoryLookupCache cache, List<List<VocabWord>> sentences)

Uses of VocabWord in org.deeplearning4j.scaleout.perform.models.word2vec.iterator

Constructor parameters in org.deeplearning4j.scaleout.perform.models.word2vec.iterator with type arguments of type VocabWord

Constructor and Description
Word2VecJobIterator(Iterator<List<List<VocabWord>>> sentenceIterator, WeightLookupTable table, VocabCache cache, org.deeplearning4j.scaleout.api.statetracker.StateTracker stateTracker)
Word2VecJobIterator(Iterator<List<List<VocabWord>>> sentenceIterator, WeightLookupTable table, VocabCache cache, org.deeplearning4j.scaleout.api.statetracker.StateTracker stateTracker, int batchSize)

Uses of VocabWord in org.deeplearning4j.text.invertedindex

Methods in org.deeplearning4j.text.invertedindex that return types with arguments of type VocabWord

Modifier and Type	Method and Description
Iterator<List<List<VocabWord>>>	LuceneInvertedIndex.batchIter(int batchSize)
Iterator<List<List<VocabWord>>>	InvertedIndex.batchIter(int batchSize) Iterate over batches
Iterator<List<VocabWord>>	LuceneInvertedIndex.docs()
Iterator<List<VocabWord>>	InvertedIndex.docs() Iterate over documents
List<VocabWord>	LuceneInvertedIndex.document(int index)
List<VocabWord>	InvertedIndex.document(int index) Returns a list of words for a document
Pair<List<VocabWord>,String>	LuceneInvertedIndex.documentWithLabel(int index)
Pair<List<VocabWord>,String>	InvertedIndex.documentWithLabel(int index) Returns a list of words for a document and the associated label
Pair<List<VocabWord>,Collection<String>>	LuceneInvertedIndex.documentWithLabels(int index)
Pair<List<VocabWord>,Collection<String>>	InvertedIndex.documentWithLabels(int index) Returns a list of words associated with the document and the associated labels
Iterator<List<VocabWord>>	LuceneInvertedIndex.miniBatches()
Iterator<List<VocabWord>>	InvertedIndex.miniBatches() Iterates over mini batches
List<VocabWord>	LuceneInvertedIndex.next()
List<List<VocabWord>>	LuceneInvertedIndex.BatchDocIter.next()
List<VocabWord>	LuceneInvertedIndex.DocIter.next()

Methods in org.deeplearning4j.text.invertedindex with parameters of type VocabWord

Modifier and Type	Method and Description
void	LuceneInvertedIndex.addLabelForDoc(int doc, VocabWord word)
void	InvertedIndex.addLabelForDoc(int doc, VocabWord word) Add word to a document
void	LuceneInvertedIndex.addWordsToDoc(int doc, List<VocabWord> words, VocabWord label)
void	InvertedIndex.addWordsToDoc(int doc, List<VocabWord> words, VocabWord label) Adds words to the given document
void	LuceneInvertedIndex.addWordToDoc(int doc, VocabWord word)
void	InvertedIndex.addWordToDoc(int doc, VocabWord word) Add word to a document
int[]	LuceneInvertedIndex.documents(VocabWord vocabWord)
int[]	InvertedIndex.documents(VocabWord vocabWord) Returns the list of documents a vocab word is in

Method parameters in org.deeplearning4j.text.invertedindex with type arguments of type VocabWord

Modifier and Type	Method and Description
void	LuceneInvertedIndex.addLabelsForDoc(int doc, List<VocabWord> label)
void	InvertedIndex.addLabelsForDoc(int doc, List<VocabWord> word) Add word to a document
void	LuceneInvertedIndex.addWordsToDoc(int doc, List<VocabWord> words)
void	InvertedIndex.addWordsToDoc(int doc, List<VocabWord> words) Adds words to the given document
void	LuceneInvertedIndex.addWordsToDoc(int doc, List<VocabWord> words, Collection<String> label)
void	InvertedIndex.addWordsToDoc(int doc, List<VocabWord> words, Collection<String> label) Adds words to the given document
void	LuceneInvertedIndex.addWordsToDoc(int doc, List<VocabWord> words, String label)
void	InvertedIndex.addWordsToDoc(int doc, List<VocabWord> words, String label) Adds words to the given document
void	LuceneInvertedIndex.addWordsToDoc(int doc, List<VocabWord> words, VocabWord label)
void	InvertedIndex.addWordsToDoc(int doc, List<VocabWord> words, VocabWord label) Adds words to the given document
void	LuceneInvertedIndex.addWordsToDocVocabWord(int doc, List<VocabWord> words, Collection<VocabWord> label)
void	LuceneInvertedIndex.addWordsToDocVocabWord(int doc, List<VocabWord> words, Collection<VocabWord> label)
void	InvertedIndex.addWordsToDocVocabWord(int doc, List<VocabWord> words, Collection<VocabWord> label) Adds words to the given document
void	InvertedIndex.addWordsToDocVocabWord(int doc, List<VocabWord> words, Collection<VocabWord> label) Adds words to the given document
void	LuceneInvertedIndex.eachDoc(com.google.common.base.Function<List<VocabWord>,Void> func, ExecutorService exec)
void	InvertedIndex.eachDoc(com.google.common.base.Function<List<VocabWord>,Void> func, ExecutorService exec) Iterate over each document
void	LuceneInvertedIndex.eachDocWithLabel(com.google.common.base.Function<Pair<List<VocabWord>,String>,Void> func, ExecutorService exec)
void	InvertedIndex.eachDocWithLabel(com.google.common.base.Function<Pair<List<VocabWord>,String>,Void> func, ExecutorService exec) Iterate over each document with a label
void	LuceneInvertedIndex.eachDocWithLabels(com.google.common.base.Function<Pair<List<VocabWord>,Collection<String>>,Void> func, ExecutorService exec)
void	InvertedIndex.eachDocWithLabels(com.google.common.base.Function<Pair<List<VocabWord>,Collection<String>>,Void> func, ExecutorService exec) Iterate over each document with a label