- cache - Variable in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
-
- cache - Variable in class org.deeplearning4j.bagofwords.vectorizer.Builder
-
- cache(VocabCache) - Method in class org.deeplearning4j.bagofwords.vectorizer.Builder
-
- cache(VocabCache) - Method in class org.deeplearning4j.text.invertedindex.LuceneInvertedIndex.Builder
-
- cache - Variable in class org.deeplearning4j.text.sentenceiterator.FileSentenceIterator
-
- cacheDocsInMemory(boolean) - Method in class org.deeplearning4j.text.invertedindex.LuceneInvertedIndex.Builder
-
- children() - Method in class org.deeplearning4j.models.rntn.Tree
-
- classForScore(Double) - Method in class org.deeplearning4j.text.corpora.sentiwordnet.SWN3
-
- classify(String) - Method in class org.deeplearning4j.text.corpora.sentiwordnet.SWN3
-
Classifies the given text
- classify(CAS) - Method in class org.deeplearning4j.text.corpora.sentiwordnet.SWN3
-
- classify(Sentence) - Method in class org.deeplearning4j.text.corpora.sentiwordnet.SWN3
-
- clone() - Method in class org.deeplearning4j.models.rntn.Tree
-
- CollapseUnaries - Class in org.deeplearning4j.text.corpora.treeparser
-
Collapse unaries such that the
tree is only made of preterminals and leaves.
- CollapseUnaries() - Constructor for class org.deeplearning4j.text.corpora.treeparser.CollapseUnaries
-
- CollectionSentenceIterator - Class in org.deeplearning4j.text.sentenceiterator
-
- CollectionSentenceIterator(SentencePreProcessor, Collection<String>) - Constructor for class org.deeplearning4j.text.sentenceiterator.CollectionSentenceIterator
-
- CollectionSentenceIterator(Collection<String>) - Constructor for class org.deeplearning4j.text.sentenceiterator.CollectionSentenceIterator
-
- compareTo(VocabWord) - Method in class org.deeplearning4j.models.word2vec.VocabWord
-
- ConcurrentTokenizer - Class in org.deeplearning4j.text.tokenization.tokenizer
-
OpenNLP Tokenizer annotator.
- ConcurrentTokenizer() - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.ConcurrentTokenizer
-
Initializes a new instance.
- connect(List<Tree>) - Method in class org.deeplearning4j.models.rntn.Tree
-
Connects the given trees
and sets the parents of the children
- containsWord(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
-
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
- ContextLabelRetriever - Class in org.deeplearning4j.text.movingwindow
-
Context Label Retriever
- coords() - Method in class org.deeplearning4j.plot.dropwizard.ApiResource
-
- countDown() - Method in class org.deeplearning4j.models.word2vec.StreamWork
-
- countDown() - Method in class org.deeplearning4j.models.word2vec.VocabWork
-
- countTokens() - Method in class org.deeplearning4j.text.tokenization.tokenizer.DefaultStreamTokenizer
-
- countTokens() - Method in class org.deeplearning4j.text.tokenization.tokenizer.DefaultTokenizer
-
- countTokens() - Method in class org.deeplearning4j.text.tokenization.tokenizer.PosUimaTokenizer
-
- countTokens() - Method in interface org.deeplearning4j.text.tokenization.tokenizer.Tokenizer
-
The number of tokens in the tokenizer
- countTokens() - Method in class org.deeplearning4j.text.tokenization.tokenizer.UimaTokenizer
-
- create() - Method in class org.deeplearning4j.bagofwords.vectorizer.DefaultInputStreamCreator
-
- create() - Method in interface org.deeplearning4j.models.word2vec.InputStreamCreator
-
Create an input stream
- create(String) - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.DefaultTokenizerFactory
-
- create(InputStream) - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.DefaultTokenizerFactory
-
- create(String) - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.PosUimaTokenizerFactory
-
- create(InputStream) - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.PosUimaTokenizerFactory
-
- create(String) - Method in interface org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory
-
The tokenizer to createComplex
- 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.UimaTokenizerFactory
-
- create(InputStream) - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.UimaTokenizerFactory
-
- createWithPath(String) - Static method in class org.deeplearning4j.text.sentenceiterator.UimaSentenceIterator
-
Creates a uima sentence iterator with the given path
- currentFile - Variable in class org.deeplearning4j.text.sentenceiterator.FileSentenceIterator
-
- 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 class org.deeplearning4j.text.sentenceiterator.labelaware.LabelAwareListSentenceIterator
-
Returns the current label for nextSentence()
- currentLabel() - Method in interface org.deeplearning4j.text.sentenceiterator.labelaware.LabelAwareSentenceIterator
-
Returns the current label for nextSentence()
- currentLabel() - Method in class org.deeplearning4j.text.sentenceiterator.labelaware.LabelAwareUimaSentenceIterator
-
Returns the current label for nextSentence()
- currLineIterator - Variable in class org.deeplearning4j.text.sentenceiterator.FileSentenceIterator
-
- cursor() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataFetcher
-
- cursor() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
-
- increment() - Method in class org.deeplearning4j.models.word2vec.VocabWord
-
- increment(int) - Method in class org.deeplearning4j.models.word2vec.VocabWord
-
- incrementDocCount(String, int) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
-
- incrementDocCount(String, int) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
-
Increment the document count
- incrementTotalDocCount() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
-
- incrementTotalDocCount(int) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
-
- incrementTotalDocCount() - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
-
Increment the doc count
- incrementTotalDocCount(int) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
-
Increment the doc count
- incrementWordCount(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
-
Increment the count for the given word
- incrementWordCount(String, int) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
-
Increment the count for the given word by
the amount increment
- incrementWordCount(String) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
-
Increment the count for the given word
- incrementWordCount(String, int) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
-
Increment the count for the given word by
the amount increment
- index() - Method in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
-
- index - Variable in class org.deeplearning4j.bagofwords.vectorizer.Builder
-
- index(InvertedIndex) - Method in class org.deeplearning4j.bagofwords.vectorizer.Builder
-
- index() - Method in interface org.deeplearning4j.bagofwords.vectorizer.TextVectorizer
-
Inverted index
- indexDir(File) - Method in class org.deeplearning4j.text.invertedindex.LuceneInvertedIndex.Builder
-
- indexOf(String) - Method in class org.deeplearning4j.models.word2vec.Word2Vec
-
- indexOf(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
-
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
- initialize(Bootstrap<ApiConfiguration>) - Method in class org.deeplearning4j.plot.dropwizard.ApiResource
-
Initializes the application bootstrap.
- initialize(Bootstrap<ApiConfiguration>) - Method in class org.deeplearning4j.plot.dropwizard.RenderApplication
-
- initialize(UimaContext) - Method in class org.deeplearning4j.text.annotator.PoStagger
-
Initializes the current instance with the given context.
- initialize(UimaContext) - Method in class org.deeplearning4j.text.tokenization.tokenizer.ConcurrentTokenizer
-
Initializes the current instance with the given context.
- InMemoryLookupCache - Class in org.deeplearning4j.models.word2vec.wordstore.inmemory
-
In memory lookup cache for smaller datasets
- InMemoryLookupCache(int) - Constructor for class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
-
- InMemoryLookupCache(int, int) - Constructor for class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
-
Initialization constructor for pre loaded models
- InMemoryLookupCache(int, boolean) - Constructor for class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
-
- InMemoryLookupCache(int, boolean, double, RandomGenerator) - Constructor for class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
-
- InMemoryLookupCache(int, boolean, double) - Constructor for class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
-
- inputColumns() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataFetcher
-
- inputColumns() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
-
- InputHomogenization - Class in org.deeplearning4j.text.inputsanitation
-
Performs some very basic textual transformations
such as word shape, lower casing, and stripping of punctuation
- 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
-
Created by agibsonccc on 10/19/14.
- InvertedIndex - Interface in org.deeplearning4j.text.invertedindex
-
An inverted index for mapping words to documents
and documents to words
- isBeginLabel() - Method in class org.deeplearning4j.text.movingwindow.Window
-
- isEndLabel() - Method in class org.deeplearning4j.text.movingwindow.Window
-
- isLeaf() - Method in class org.deeplearning4j.models.rntn.Tree
-
Returns whether the node has any children or not
- isPreTerminal() - Method in class org.deeplearning4j.models.rntn.Tree
-
Node has one child that is a leaf
- iterate(DocumentIterator) - Method in class org.deeplearning4j.bagofwords.vectorizer.Builder
-
- iterate(SentenceIterator) - Method in class org.deeplearning4j.bagofwords.vectorizer.Builder
-
- iterate(DocumentIterator) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
-
- iterate(SentenceIterator) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
-
- iterate(VocabWord, VocabWord) - Method in class org.deeplearning4j.models.word2vec.Word2Vec
-
Train the word vector
on the given words
- iterate(VocabWord, VocabWord) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
-
Iterate on the given 2 vocab words
- iterate(VocabWord, VocabWord) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
-
Iterate on the given 2 vocab words
- iterations(int) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
-
- saveVocab(boolean) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
-
- saveVocab() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
-
- saveVocab() - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
-
Saves the vocab: this allow for reuse of word frequencies
- score(String) - Method in class org.deeplearning4j.text.corpora.sentiwordnet.SWN3
-
Scores the text
- score(CAS) - Method in class org.deeplearning4j.text.corpora.sentiwordnet.SWN3
-
- score(Sentence) - Method in class org.deeplearning4j.text.corpora.sentiwordnet.SWN3
-
- scoreTokens(List<Token>) - Method in class org.deeplearning4j.text.corpora.sentiwordnet.SWN3
-
- seed(long) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
-
- segmenter() - Static method in class org.deeplearning4j.text.sentenceiterator.UimaSentenceIterator
-
Return a a sentence segmenter
- SentenceActor - Class in org.deeplearning4j.models.word2vec.actor
-
Created by agibsonccc on 9/28/14.
- SentenceActor(Word2Vec) - Constructor for class org.deeplearning4j.models.word2vec.actor.SentenceActor
-
- SentenceAnnotator - Class in org.deeplearning4j.text.annotator
-
- SentenceAnnotator() - Constructor for class org.deeplearning4j.text.annotator.SentenceAnnotator
-
- sentenceIterator - Variable in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
-
- sentenceIterator - Variable in class org.deeplearning4j.bagofwords.vectorizer.Builder
-
- SentenceIterator - Interface in org.deeplearning4j.text.sentenceiterator
-
A sentence iterator that knows how to iterate over sentence.
- SentenceMessage - Class in org.deeplearning4j.models.word2vec.actor
-
- SentenceMessage(String, AtomicLong) - Constructor for class org.deeplearning4j.models.word2vec.actor.SentenceMessage
-
- SentencePreProcessor - Interface in org.deeplearning4j.text.sentenceiterator
-
- sentences - Variable in class org.deeplearning4j.text.sentenceiterator.UimaSentenceIterator
-
- setActivationFunction(ActivationFunction) - Method in class org.deeplearning4j.models.rntn.RNTN.Builder
-
- setAdagradResetFrequency(int) - Method in class org.deeplearning4j.models.rntn.RNTN.Builder
-
- setAnalysisEngine(AnalysisEngine) - Method in class org.deeplearning4j.text.uima.UimaResource
-
- setB(int) - Method in class org.deeplearning4j.models.word2vec.actor.SkipGramMessage
-
- setBegin(int) - Method in class org.deeplearning4j.models.rntn.Tree
-
- setBegin(int) - Method in class org.deeplearning4j.text.movingwindow.Window
-
- setBinaryClassificationSize(int) - Method in class org.deeplearning4j.models.rntn.RNTN.Builder
-
- setBinaryINd4jize(int) - Method in class org.deeplearning4j.models.rntn.RNTN.Builder
-
- setBinaryTransformSize(int) - Method in class org.deeplearning4j.models.rntn.RNTN.Builder
-
- setCache(VocabCache) - Method in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
-
- setCache(VocabCache) - Method in class org.deeplearning4j.models.word2vec.Word2Vec
-
- setCasPool(CasPool) - Method in class org.deeplearning4j.text.uima.UimaResource
-
- setChanged(AtomicLong) - Method in class org.deeplearning4j.models.word2vec.actor.SentenceMessage
-
- setChangeTracker(AtomicLong) - Method in class org.deeplearning4j.models.word2vec.actor.VocabMessage
-
- setClassWeights(Map<Integer, Float>) - Method in class org.deeplearning4j.models.rntn.RNTN.Builder
-
- setCodeLength(int) - Method in class org.deeplearning4j.models.word2vec.VocabWord
-
- setCodes(int[]) - Method in class org.deeplearning4j.models.word2vec.VocabWord
-
- setCombineClassification(boolean) - Method in class org.deeplearning4j.models.rntn.RNTN.Builder
-
- setCoordPath(String) - Method in class org.deeplearning4j.plot.dropwizard.ApiConfiguration
-
- setCount(AtomicInteger) - Method in class org.deeplearning4j.models.word2vec.StreamWork
-
- setCount(AtomicInteger) - Method in class org.deeplearning4j.models.word2vec.VocabWork
-
- setCountForDoc(String, int) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
-
- setCountForDoc(String, int) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
-
Set the count for the number of documents the word appears in
- setDocIter(DocumentIterator) - Method in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
-
- setEnd(int) - Method in class org.deeplearning4j.models.rntn.Tree
-
- setEnd(int) - Method in class org.deeplearning4j.text.movingwindow.Window
-
- setError(double) - Method in class org.deeplearning4j.models.rntn.Tree
-
- setFeatureVectors(Word2Vec) - Method in class org.deeplearning4j.models.rntn.RNTN.Builder
-
- setFeatureVectors(Map<String, INDArray>) - Method in class org.deeplearning4j.models.rntn.RNTN.Builder
-
- setGoldLabel(int) - Method in class org.deeplearning4j.models.rntn.Tree
-
- setHeadWord(String) - Method in class org.deeplearning4j.models.rntn.Tree
-
- setI(int) - Method in class org.deeplearning4j.models.word2vec.actor.SkipGramMessage
-
- setIndex(int) - Method in class org.deeplearning4j.models.word2vec.VocabWord
-
- setLabel(String) - Method in class org.deeplearning4j.models.rntn.Tree
-
- setLabel(String) - Method in class org.deeplearning4j.text.movingwindow.Window
-
- setLayerSize(int) - Method in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
-
- setLayerSize(int) - Method in class org.deeplearning4j.models.word2vec.Word2Vec
-
- setLeft(VocabWord) - Method in class org.deeplearning4j.models.word2vec.VocabWord
-
- setLowerCasefeatureNames(boolean) - Method in class org.deeplearning4j.models.rntn.RNTN.Builder
-
- setMinWordFrequency(int) - Method in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
-
- setNumBinaryMatrices(int) - Method in class org.deeplearning4j.models.rntn.RNTN.Builder
-
- setNumHidden(int) - Method in class org.deeplearning4j.models.rntn.RNTN.Builder
-
- setNumUnaryMatrices(int) - Method in class org.deeplearning4j.models.rntn.RNTN.Builder
-
- setParameters(INDArray) - Method in class org.deeplearning4j.models.rntn.RNTN
-
- setParams(INDArray, Iterator<? extends INDArray>...) - Method in class org.deeplearning4j.models.rntn.RNTN
-
Given a sequence of Iterators over a applyTransformToDestination of matrices, fill in all of
the matrices with the entries in the theta vector.
- setParent(Tree) - Method in class org.deeplearning4j.models.rntn.Tree
-
- setParent(VocabWord) - Method in class org.deeplearning4j.models.word2vec.VocabWord
-
- setParse(String) - Method in class org.deeplearning4j.models.rntn.Tree
-
- setPoints(int[]) - Method in class org.deeplearning4j.models.word2vec.VocabWord
-
- setPrediction(INDArray) - Method in class org.deeplearning4j.models.rntn.Tree
-
- setPreProcessor(DataSetPreProcessor) - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
-
Set a pre processor
- setPreProcessor(SentencePreProcessor) - Method in class org.deeplearning4j.text.sentenceiterator.BaseSentenceIterator
-
- setPreProcessor(SentencePreProcessor) - Method in class org.deeplearning4j.text.sentenceiterator.labelaware.LabelAwareListSentenceIterator
-
- setPreProcessor(SentencePreProcessor) - Method in interface org.deeplearning4j.text.sentenceiterator.SentenceIterator
-
- setRandomFeatureVectors(boolean) - Method in class org.deeplearning4j.models.rntn.RNTN.Builder
-
- setRegTransformINDArray(double) - Method in class org.deeplearning4j.models.rntn.RNTN.Builder
-
- setRight(VocabWord) - Method in class org.deeplearning4j.models.word2vec.VocabWord
-
- setRng(RandomGenerator) - Method in class org.deeplearning4j.models.rntn.RNTN.Builder
-
- setRng(RandomGenerator) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
-
- setScalingForInit(double) - Method in class org.deeplearning4j.models.rntn.RNTN.Builder
-
- setSentence(String) - Method in class org.deeplearning4j.models.word2vec.actor.SentenceMessage
-
- setSentence(List<VocabWord>) - Method in class org.deeplearning4j.models.word2vec.actor.SkipGramMessage
-
- setSentenceIter(SentenceIterator) - Method in class org.deeplearning4j.models.word2vec.Word2Vec
-
Note that calling a setter on this
means assumes that this is a training continuation
and therefore weights should not be reset.
- setSentenceIterator(SentenceIterator) - Method in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
-
- setSimplifiedModel(boolean) - Method in class org.deeplearning4j.models.rntn.RNTN.Builder
-
- setStem(Token, String) - Method in class org.deeplearning4j.text.annotator.StemmerAnnotator
-
- setStopWords(List<String>) - Method in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
-
- setSyn0(INDArray) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
-
- setSyn1(INDArray) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
-
- setTags(List<String>) - Method in class org.deeplearning4j.models.rntn.Tree
-
- setTokenizerFactory(TokenizerFactory) - Method in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
-
- setTokenizerFactory(TokenizerFactory) - Method in class org.deeplearning4j.models.word2vec.Word2Vec
-
- 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.PosUimaTokenizer
-
- 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.tokenizer.UimaTokenizer
-
- setTokenPreProcessor(TokenPreProcess) - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.DefaultTokenizerFactory
-
- setTokenPreProcessor(TokenPreProcess) - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.PosUimaTokenizerFactory
-
- setTokenPreProcessor(TokenPreProcess) - Method in interface org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory
-
Sets a token pre processor to be used
with every tokenizer
- setTokenPreProcessor(TokenPreProcess) - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.UimaTokenizerFactory
-
- setTokens(List<String>) - Method in class org.deeplearning4j.models.rntn.Tree
-
- setTokens(List<String>) - Method in class org.deeplearning4j.models.word2vec.actor.VocabMessage
-
- setType(String) - Method in class org.deeplearning4j.models.rntn.Tree
-
- setUnaryClassificationSize(int) - Method in class org.deeplearning4j.models.rntn.RNTN.Builder
-
- setup() - Method in class org.deeplearning4j.models.word2vec.Word2Vec
-
- setUseTensors(boolean) - Method in class org.deeplearning4j.models.rntn.RNTN.Builder
-
- setValue(String) - Method in class org.deeplearning4j.models.rntn.Tree
-
- setVector(INDArray) - Method in class org.deeplearning4j.models.rntn.Tree
-
- setWord(String) - Method in class org.deeplearning4j.models.word2vec.VocabWord
-
- setWords(List<String>) - Method in class org.deeplearning4j.text.movingwindow.Window
-
- setWork(String) - Method in class org.deeplearning4j.models.word2vec.VocabWork
-
- similarity(String, String) - Method in class org.deeplearning4j.models.word2vec.Word2Vec
-
Returns the similarity of 2 words
- similarWordsInVocabTo(String, double) - Method in class org.deeplearning4j.models.word2vec.Word2Vec
-
Find all words with a similar characters
in the vocab
- skipGram(int, List<VocabWord>, int) - Method in class org.deeplearning4j.models.word2vec.Word2Vec
-
Train via skip gram
- SkipGramMessage - Class in org.deeplearning4j.models.word2vec.actor
-
Created by agibsonccc on 9/16/14.
- SkipGramMessage(int, int, List<VocabWord>) - Constructor for class org.deeplearning4j.models.word2vec.actor.SkipGramMessage
-
- stats() - Method in class org.deeplearning4j.models.rntn.RNTNEval
-
- StemmerAnnotator - Class in org.deeplearning4j.text.annotator
-
This class borrows from org.apache.lucene.analysis.snowball.SnowballFilter
Copyright (c) 2009, Regents of the University of Colorado
All rights reserved.
- StemmerAnnotator() - Constructor for class org.deeplearning4j.text.annotator.StemmerAnnotator
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- stopWords - Variable in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
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- stopWords - Variable in class org.deeplearning4j.bagofwords.vectorizer.Builder
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- stopWords(List<String>) - Method in class org.deeplearning4j.bagofwords.vectorizer.Builder
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- stopWords(List<String>) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
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- stopWords(List<String>) - Method in class org.deeplearning4j.text.invertedindex.LuceneInvertedIndex.Builder
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- StopWords - Class in org.deeplearning4j.text.stopwords
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Loads stop words from the class path
- StopWords() - Constructor for class org.deeplearning4j.text.stopwords.StopWords
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- StreamWork - Class in org.deeplearning4j.models.word2vec
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- StreamWork(InputStreamCreator, AtomicInteger) - Constructor for class org.deeplearning4j.models.word2vec.StreamWork
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- stringWithLabels(String, TokenizerFactory) - Static method in class org.deeplearning4j.text.movingwindow.ContextLabelRetriever
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Returns a stripped sentence with the indices of words
with certain kinds of labels.
- SWN3 - Class in org.deeplearning4j.text.corpora.sentiwordnet
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Based on SentiWordnet
- SWN3() - Constructor for class org.deeplearning4j.text.corpora.sentiwordnet.SWN3
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- SWN3(AnalysisEngine) - Constructor for class org.deeplearning4j.text.corpora.sentiwordnet.SWN3
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- SWN3(String) - Constructor for class org.deeplearning4j.text.corpora.sentiwordnet.SWN3
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- tags() - Method in class org.deeplearning4j.models.rntn.Tree
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- TextVectorizer - Interface in org.deeplearning4j.bagofwords.vectorizer
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Vectorizes text
- TfidfVectorizer - Class in org.deeplearning4j.bagofwords.vectorizer
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Turns a applyTransformToDestination of documents in to a tfidf bag of words
- TfidfVectorizer() - Constructor for class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer
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- TfidfVectorizer(VocabCache, TokenizerFactory, List<String>, int, int, DocumentIterator, SentenceIterator, List<String>, InvertedIndex) - Constructor for class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer
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- TfidfVectorizer.Builder - Class in org.deeplearning4j.bagofwords.vectorizer
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- toInputMatrix(List<Window>, Word2Vec) - Static method in class org.deeplearning4j.text.movingwindow.WordConverter
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- toInputMatrix() - Method in class org.deeplearning4j.text.movingwindow.WordConverter
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- tokenFor(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
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- tokenFor(String) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
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Returns the token (again not necessarily in the vocab)
for this word
- tokenize(TokenizerFactory) - Method in class org.deeplearning4j.bagofwords.vectorizer.Builder
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- tokenize(CAS, AnnotationFS) - Method in class org.deeplearning4j.text.tokenization.tokenizer.ConcurrentTokenizer
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- Tokenizer - Interface in org.deeplearning4j.text.tokenization.tokenizer
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A representation of a tokenizer.
- TokenizerAnnotator - Class in org.deeplearning4j.text.annotator
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Overrides OpenNLP tokenizer to be thread safe
- TokenizerAnnotator() - Constructor for class org.deeplearning4j.text.annotator.TokenizerAnnotator
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- tokenizerFactory - Variable in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
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- tokenizerFactory - Variable in class org.deeplearning4j.bagofwords.vectorizer.Builder
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- tokenizerFactory(TokenizerFactory) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
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- TokenizerFactory - Interface in org.deeplearning4j.text.tokenization.tokenizerfactory
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Generates a tokenizer for a given string
- TokenPreProcess - Interface in org.deeplearning4j.text.tokenization.tokenizer
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Token preprocessing
- tokens() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
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- tokens() - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
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All of the tokens in the cache, (not necessarily apart of the vocab)
- toLabelMatrix(List<String>, List<Window>) - Static method in class org.deeplearning4j.text.movingwindow.WordConverter
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- toLabelMatrix(List<String>) - Method in class org.deeplearning4j.text.movingwindow.WordConverter
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- toString() - Method in class org.deeplearning4j.models.rntn.Tree
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- toString() - Method in class org.deeplearning4j.models.word2vec.VocabWord
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- toString() - Method in class org.deeplearning4j.text.movingwindow.Window
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- totalExamples() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataFetcher
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- totalExamples() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
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- totalNumberOfDocs() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
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- totalNumberOfDocs() - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
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Returns the total of number of documents encountered in the corpus
- totalOutcomes() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataFetcher
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- totalOutcomes() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
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- totalWordOccurrences() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
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The total number of word occurrences
- totalWordOccurrences() - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
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The total number of word occurrences
- toTree(TreebankNode, Pair<String, MultiDimensionalMap<Integer, Integer, String>>) - Static method in class org.deeplearning4j.text.corpora.treeparser.TreeFactory
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Converts a treebank node to a tree
- toTree(TreebankNode) - Static method in class org.deeplearning4j.text.corpora.treeparser.TreeFactory
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Converts a treebank node to a tree
- toVocabFloat() - Method in class org.deeplearning4j.models.word2vec.Word2Vec
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- trainingSystem - Static variable in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
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- trainSentence(InputStream) - Method in class org.deeplearning4j.models.word2vec.Word2Vec
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Train on the given sentence returning a list of vocab words
- trainSentence(String) - Method in class org.deeplearning4j.models.word2vec.Word2Vec
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Train on the given sentence returning a list of vocab words
- trainSentence(List<VocabWord>, int) - Method in class org.deeplearning4j.models.word2vec.Word2Vec
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Train on a list of vocab words
- transform(String) - Method in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer
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Transforms the matrix
- transform(String) - Method in interface org.deeplearning4j.bagofwords.vectorizer.TextVectorizer
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Transforms the matrix
- transform(String) - Method in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer
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Transforms the matrix
- transform(Tree) - Method in class org.deeplearning4j.text.corpora.treeparser.BinarizeTreeTransformer
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- transform(Tree) - Method in class org.deeplearning4j.text.corpora.treeparser.CollapseUnaries
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- transform(Tree) - Method in interface org.deeplearning4j.text.corpora.treeparser.transformer.TreeTransformer
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Applies a applyTransformToOrigin to a tree
- transform() - Method in class org.deeplearning4j.text.inputsanitation.InputHomogenization
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Returns the normalized text passed in via constructor
- Tree - Class in org.deeplearning4j.models.rntn
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Tree for a recursive neural tensor network
based on Socher et al's work.
- Tree(Tree) - Constructor for class org.deeplearning4j.models.rntn.Tree
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Clone constructor (all but the children)
- Tree(Tree, List<String>) - Constructor for class org.deeplearning4j.models.rntn.Tree
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- Tree(List<String>) - Constructor for class org.deeplearning4j.models.rntn.Tree
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- TreeFactory - Class in org.deeplearning4j.text.corpora.treeparser
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Static movingwindow class handling the conversion of
treebank nodes to Trees useful
for recursive neural tensor networks
- TreeFactory() - Constructor for class org.deeplearning4j.text.corpora.treeparser.TreeFactory
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- TreeIterator - Class in org.deeplearning4j.text.corpora.treeparser
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Tree iterator: iterate over sentences
returning trees with labels and everything already
preset
- TreeIterator(LabelAwareSentenceIterator, List<String>, TreeVectorizer, int) - Constructor for class org.deeplearning4j.text.corpora.treeparser.TreeIterator
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- TreeIterator(LabelAwareSentenceIterator, List<String>, TreeVectorizer) - Constructor for class org.deeplearning4j.text.corpora.treeparser.TreeIterator
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- TreeIterator(LabelAwareSentenceIterator, List<String>) - Constructor for class org.deeplearning4j.text.corpora.treeparser.TreeIterator
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- TreeParser - Class in org.deeplearning4j.text.corpora.treeparser
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Tree parser for constituency parsing
- TreeParser(AnalysisEngine, AnalysisEngine, CasPool) - Constructor for class org.deeplearning4j.text.corpora.treeparser.TreeParser
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- TreeParser() - Constructor for class org.deeplearning4j.text.corpora.treeparser.TreeParser
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- TreeTransformer - Interface in org.deeplearning4j.text.corpora.treeparser.transformer
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Tree transformer
- TreeVectorizer - Class in org.deeplearning4j.text.corpora.treeparser
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Tree vectorization pipeline.
- TreeVectorizer(TreeParser) - Constructor for class org.deeplearning4j.text.corpora.treeparser.TreeVectorizer
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Uses the given parser and model
for vectorization of strings
- TreeVectorizer() - Constructor for class org.deeplearning4j.text.corpora.treeparser.TreeVectorizer
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Uses word vectors from the passed in word2vec model
- typeSystemInit(TypeSystem) - Method in class org.deeplearning4j.text.annotator.PoStagger
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Initializes the type system.
- typeSystemInit(TypeSystem) - Method in class org.deeplearning4j.text.tokenization.tokenizer.ConcurrentTokenizer
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Initializes the type system.
- Window - Class in org.deeplearning4j.text.movingwindow
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A representation of a sliding window.
- Window(Collection<String>, int, int) - Constructor for class org.deeplearning4j.text.movingwindow.Window
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Creates a window with a context of size 3
- Window(Collection<String>, int, int, int) - Constructor for class org.deeplearning4j.text.movingwindow.Window
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Initialize a window with the given size
- WindowConverter - Class in org.deeplearning4j.text.movingwindow
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Util methods for converting windows to
training examples
- WindowConverter() - Constructor for class org.deeplearning4j.text.movingwindow.WindowConverter
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- windowForWordInPosition(int, int, List<String>) - Static method in class org.deeplearning4j.text.movingwindow.Windows
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Creates a sliding window from text
- Windows - Class in org.deeplearning4j.text.movingwindow
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Static utility class for textual based windowing functions
- Windows() - Constructor for class org.deeplearning4j.text.movingwindow.Windows
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- windows(InputStream, int) - Static method in class org.deeplearning4j.text.movingwindow.Windows
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Constructs a list of window of size windowSize.
- windows(InputStream, TokenizerFactory, int) - Static method in class org.deeplearning4j.text.movingwindow.Windows
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Constructs a list of window of size windowSize.
- windows(String, int) - Static method in class org.deeplearning4j.text.movingwindow.Windows
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Constructs a list of window of size windowSize.
- windows(String, TokenizerFactory, int) - Static method in class org.deeplearning4j.text.movingwindow.Windows
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Constructs a list of window of size windowSize.
- windows(String) - Static method in class org.deeplearning4j.text.movingwindow.Windows
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Constructs a list of window of size windowSize.
- windows(String, TokenizerFactory) - Static method in class org.deeplearning4j.text.movingwindow.Windows
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Constructs a list of window of size windowSize.
- windows(List<String>, int) - Static method in class org.deeplearning4j.text.movingwindow.Windows
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Constructs a list of window of size windowSize
- windowSize(int) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
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- withOutputActivation(ActivationFunction) - Method in class org.deeplearning4j.models.rntn.RNTN.Builder
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- Word2Vec - Class in org.deeplearning4j.models.word2vec
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Leveraging a 3 layer neural net with a softmax approach as output,
converts a word based on its context and the training examples in to a
numeric vector
- Word2Vec() - Constructor for class org.deeplearning4j.models.word2vec.Word2Vec
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- Word2Vec.Builder - Class in org.deeplearning4j.models.word2vec
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- Word2VecDataFetcher - Class in org.deeplearning4j.models.word2vec.iterator
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- Word2VecDataFetcher(String, Word2Vec, List<String>) - Constructor for class org.deeplearning4j.models.word2vec.iterator.Word2VecDataFetcher
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- Word2VecDataSetIterator - Class in org.deeplearning4j.models.word2vec.iterator
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Iterates over a sentence with moving window to produce a data applyTransformToDestination
for word windows based on a pretrained word2vec.
- Word2VecDataSetIterator(Word2Vec, LabelAwareSentenceIterator, List<String>, int, boolean, boolean) - Constructor for class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
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Allows for customization of all of the params of the iterator
- Word2VecDataSetIterator(Word2Vec, LabelAwareSentenceIterator, List<String>) - Constructor for class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
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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
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Initializes this iterator with homogenization and adding labels
- Word2VecLoader - Class in org.deeplearning4j.models.word2vec.loader
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Loads word 2 vec models
- Word2VecLoader() - Constructor for class org.deeplearning4j.models.word2vec.loader.Word2VecLoader
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- WORD_FIELD - Static variable in class org.deeplearning4j.text.invertedindex.LuceneInvertedIndex
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- wordAtIndex(int) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
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Returns the word contained at the given index or null
- wordAtIndex(int) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
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Returns the word contained at the given index or null
- WordConverter - Class in org.deeplearning4j.text.movingwindow
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- WordConverter(List<String>, Word2Vec) - Constructor for class org.deeplearning4j.text.movingwindow.WordConverter
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- wordFor(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
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- wordFor(String) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
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- wordFrequency(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
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Returns the number of times the word has occurred
- wordFrequency(String) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
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Returns the number of times the word has occurred
- words() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
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Returns all of the words in the vocab
- words() - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
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Returns all of the words in the vocab
- wordsNearest(String, int) - Method in class org.deeplearning4j.models.word2vec.Word2Vec
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Get the top n words most similar to the given word
- write(DataOutputStream) - Method in class org.deeplearning4j.models.word2vec.VocabWord
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- write(OutputStream) - Method in class org.deeplearning4j.models.word2vec.Word2Vec
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- writer(IndexWriter) - Method in class org.deeplearning4j.text.invertedindex.LuceneInvertedIndex.Builder
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- writeTsneFormat(Word2Vec, INDArray, File) - Static method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
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