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

Packages that use VocabWord

Package	Description
org.deeplearning4j.models.word2vec
org.deeplearning4j.models.word2vec.actor
org.deeplearning4j.models.word2vec.wordstore
org.deeplearning4j.models.word2vec.wordstore.inmemory
org.deeplearning4j.text.invertedindex

Uses of VocabWord in org.deeplearning4j.models.word2vec

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

Modifier and Type	Field and Description
protected Queue<List<List<VocabWord>>>	Word2Vec.jobQueue

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	ParagraphVectors.dm(List<VocabWord> sentence, boolean trainLabels, boolean trainWords)
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

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

Modifier and Type	Field and Description
protected Map<String,VocabWord>	BaseLookupCache.tokens
protected Map<String,VocabWord>	BaseLookupCache.vocabs

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

Modifier and Type	Method and Description
VocabWord	BaseLookupCache.tokenFor(String word)
VocabWord	VocabCache.tokenFor(String word) Returns the token (again not necessarily in the vocab) for this word
VocabWord	BaseLookupCache.wordFor(String 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>	BaseLookupCache.tokens()
Collection<VocabWord>	VocabCache.tokens() All of the tokens in the cache, (not necessarily apart of the vocab)
Collection<VocabWord>	BaseLookupCache.vocabWords() Returns all of the vocab word nodes
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	BaseLookupCache.addToken(VocabWord word)
void	VocabCache.addToken(VocabWord word) Adds a token to the cache
void	VocabCache.iterate(VocabWord w1, VocabWord w2) Iterate on the given 2 vocab words
void	VocabCache.iterateSample(VocabWord w1, VocabWord w2, AtomicLong nextRandom, double alpha) Iterate on the given 2 vocab words

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)
void	InMemoryLookupCache.iterate(VocabWord w1, VocabWord w2) Iterate on the given 2 vocab words
void	InMemoryLookupCache.iterateSample(VocabWord w1, VocabWord w2, AtomicLong nextRandom, double alpha) Iterate on the given 2 vocab words

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
List<VocabWord>	LuceneInvertedIndex.document(int index)
List<VocabWord>	InvertedIndex.document(int index) Returns a list of words for a document
Iterator<List<VocabWord>>	LuceneInvertedIndex.miniBatches()
Iterator<List<VocabWord>>	InvertedIndex.miniBatches() Iterates over mini batches
List<VocabWord>	LuceneInvertedIndex.next()

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

Modifier and Type	Method and Description
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.addWordsToDoc(int doc, List<VocabWord> words)
void	InvertedIndex.addWordsToDoc(int doc, List<VocabWord> words) 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