Deprecated API

Contents

• Classes
• Methods
• Constructors

Classes

Class	Description
org.deeplearning4j.models.node2vec.Node2Vec
org.deeplearning4j.models.sequencevectors.listeners.ScoreListener
org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
org.deeplearning4j.text.sentenceiterator.PrefetchingSentenceIterator

Methods

Method	Description
org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder.lr(double)
org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.getLr()
org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.iterate(T, T)
org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.iterateSample(T, T, AtomicLong, double)
org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.loadFullModel(String)	Use readWord2VecModel() or loadStaticModel() method instead
org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.loadTxtVectors(File)	Use WordVectorSerializer.loadTxt(InputStream)
org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.readParagraphVectorsFromText(String)	Use WordVectorSerializer.readParagraphVectors(String)
org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.readWord2Vec(File)	Use WordVectorSerializer.readWord2Vec(File, boolean)
org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.writeFullModel(Word2Vec, String)	Use writeWord2VecModel() method instead
org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.writeWordVectors(ParagraphVectors, File)	Use WordVectorSerializer.writeParagraphVectors(ParagraphVectors, File)
org.deeplearning4j.models.embeddings.WeightLookupTable.iterate(T, T)
org.deeplearning4j.models.embeddings.WeightLookupTable.iterateSample(T, T, AtomicLong, double)
org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder.labels(List<String>)
org.deeplearning4j.models.paragraphvectors.ParagraphVectors.predict(String)
org.deeplearning4j.models.paragraphvectors.ParagraphVectors.similarityToLabel(String, String)
org.deeplearning4j.models.sequencevectors.sequence.SequenceElement.getGradient(int, double, double)
org.deeplearning4j.models.sequencevectors.sequence.SequenceElement.getHistoricalGradient()
org.deeplearning4j.models.sequencevectors.sequence.SequenceElement.setHistoricalGradient(INDArray)
org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder.useAdaGrad(boolean)
org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache.putVocabWord(String)
org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache.putVocabWord(String)
org.deeplearning4j.models.word2vec.wordstore.VocabCache.putVocabWord(String)
org.deeplearning4j.text.documentiterator.LabelledDocument.getLabel()
org.deeplearning4j.text.documentiterator.LabelledDocument.setLabel(String)
org.deeplearning4j.text.sentenceiterator.AggregatingSentenceIterator.Builder.addSentencePreProcessor(SentencePreProcessor)	Use AggregatingSentenceIterator.Builder.sentencePreProcessor(SentencePreProcessor)

Constructors

Constructor	Description
org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder()	Due to old default, that will be changed in the future. Use Builder(Format) to specify the CnnSentenceDataSetIterator.Format of the activations
org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache(boolean)