Package | Description |
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org.deeplearning4j.models.glove |
Modifier and Type | Method and Description |
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Glove.Builder |
Glove.Builder.alpha(double alpha)
Parameter in exponent of weighting function; default 0.75
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Glove.Builder |
Glove.Builder.batchSize(int batchSize)
Specifies minibatch size for training process.
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Glove.Builder |
Glove.Builder.epochs(int numEpochs)
Sets the number of iteration over training corpus during training
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Glove.Builder |
Glove.Builder.iterate(DocumentIterator iterator) |
Glove.Builder |
Glove.Builder.iterate(SentenceIterator iterator) |
Glove.Builder |
Glove.Builder.iterate(SequenceIterator<VocabWord> iterator) |
Glove.Builder |
Glove.Builder.iterations(int iterations)
Ierations and epochs are the same in GloVe implementation.
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Glove.Builder |
Glove.Builder.layerSize(int layerSize) |
Glove.Builder |
Glove.Builder.learningRate(double learningRate) |
Glove.Builder |
Glove.Builder.lookupTable(WeightLookupTable<VocabWord> lookupTable) |
Glove.Builder |
Glove.Builder.maxMemory(int gbytes)
This method allows you to specify maximum memory available for CoOccurrence map builder.
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Glove.Builder |
Glove.Builder.minLearningRate(double minLearningRate) |
Glove.Builder |
Glove.Builder.minWordFrequency(int minWordFrequency)
Sets minimum word frequency during vocabulary mastering.
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Glove.Builder |
Glove.Builder.modelUtils(ModelUtils<VocabWord> modelUtils)
Sets ModelUtils that gonna be used as provider for utility methods: similarity(), wordsNearest(), accuracy(), etc
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Glove.Builder |
Glove.Builder.negativeSample(double negative)
Deprecated.
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Glove.Builder |
Glove.Builder.resetModel(boolean reallyReset) |
Glove.Builder |
Glove.Builder.sampling(double sampling)
Deprecated.
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Glove.Builder |
Glove.Builder.seed(long randomSeed) |
Glove.Builder |
Glove.Builder.setVectorsListeners(Collection<VectorsListener<VocabWord>> vectorsListeners)
This method sets VectorsListeners for this SequenceVectors model
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Glove.Builder |
Glove.Builder.shuffle(boolean reallyShuffle)
Parameter specifying, if cooccurrences list should be shuffled between training epochs
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Glove.Builder |
Glove.Builder.stopWords(Collection<VocabWord> stopList) |
Glove.Builder |
Glove.Builder.stopWords(List<String> stopList) |
Glove.Builder |
Glove.Builder.symmetric(boolean reallySymmetric)
Parameters specifying, if cooccurrences list should be build into both directions from any current word.
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Glove.Builder |
Glove.Builder.tokenizerFactory(TokenizerFactory tokenizerFactory)
Sets TokenizerFactory to be used for training
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Glove.Builder |
Glove.Builder.trainElementsRepresentation(boolean trainElements) |
Glove.Builder |
Glove.Builder.trainSequencesRepresentation(boolean trainSequences)
Deprecated.
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Glove.Builder |
Glove.Builder.unknownElement(VocabWord element)
This method allows you to specify SequenceElement that will be used as UNK element, if UNK is used
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Glove.Builder |
Glove.Builder.useAdaGrad(boolean reallyUse) |
Glove.Builder |
Glove.Builder.useExistingWordVectors(WordVectors vec)
This method has no effect for GloVe
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Glove.Builder |
Glove.Builder.useUnknown(boolean reallyUse)
This method allows you to specify, if UNK word should be used internally
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Glove.Builder |
Glove.Builder.useVariableWindow(int... windows)
This method has no effect for ParagraphVectors
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Glove.Builder |
Glove.Builder.vocabCache(VocabCache<VocabWord> vocabCache) |
Glove.Builder |
Glove.Builder.windowSize(int windowSize) |
Glove.Builder |
Glove.Builder.workers(int numWorkers) |
Glove.Builder |
Glove.Builder.xMax(double xMax)
Parameter specifying cutoff in weighting function; default 100.0
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