Uses of Class
org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder

Packages that use SequenceVectors.Builder

Package	Description
org.deeplearning4j.models.glove
org.deeplearning4j.models.paragraphvectors
org.deeplearning4j.models.sequencevectors
org.deeplearning4j.models.word2vec

Uses of SequenceVectors.Builder in org.deeplearning4j.models.glove

Subclasses of SequenceVectors.Builder in org.deeplearning4j.models.glove

Modifier and Type	Class and Description
static class	Glove.Builder

Uses of SequenceVectors.Builder in org.deeplearning4j.models.paragraphvectors

Subclasses of SequenceVectors.Builder in org.deeplearning4j.models.paragraphvectors

Modifier and Type	Class and Description
static class	ParagraphVectors.Builder

Uses of SequenceVectors.Builder in org.deeplearning4j.models.sequencevectors

Methods in org.deeplearning4j.models.sequencevectors that return SequenceVectors.Builder

Modifier and Type	Method and Description
SequenceVectors.Builder<T>	SequenceVectors.Builder.batchSize(int batchSize) This method defines batchSize option, viable only if iterations > 1
SequenceVectors.Builder<T>	SequenceVectors.Builder.elementsLearningAlgorithm(ElementsLearningAlgorithm<T> algorithm) * Sets specific LearningAlgorithm as Elements Learning Algorithm
SequenceVectors.Builder<T>	SequenceVectors.Builder.elementsLearningAlgorithm(String algoName) * Sets specific LearningAlgorithm as Elements Learning Algorithm
SequenceVectors.Builder<T>	SequenceVectors.Builder.epochs(int numEpochs) This method defines how much iterations should be done over whole training corpus during modelling
SequenceVectors.Builder<T>	SequenceVectors.Builder.iterate(SequenceIterator<T> iterator) This method defines SequenceIterator to be used for model building
SequenceVectors.Builder<T>	SequenceVectors.Builder.iterations(int iterations) This method defines how much iterations should be done over batched sequences.
SequenceVectors.Builder<T>	SequenceVectors.Builder.layerSize(int layerSize) This method defines number of dimensions for outcome vectors.
SequenceVectors.Builder<T>	SequenceVectors.Builder.learningRate(double learningRate) This method defines initial learning rate.
SequenceVectors.Builder<T>	SequenceVectors.Builder.lookupTable(WeightLookupTable<T> lookupTable) You can pass externally built WeightLookupTable, containing model weights and vocabulary.
SequenceVectors.Builder<T>	SequenceVectors.Builder.minLearningRate(double minLearningRate) This method defines minimum learning rate after decay being applied.
SequenceVectors.Builder<T>	SequenceVectors.Builder.minWordFrequency(int minWordFrequency) This method defines minimal element frequency for elements found in the training corpus.
SequenceVectors.Builder<T>	SequenceVectors.Builder.modelUtils(ModelUtils<T> modelUtils) ModelUtils implementation, that will be used to access model.
SequenceVectors.Builder<T>	SequenceVectors.Builder.negativeSample(double negative) This method defines negative sampling value for skip-gram algorithm.
SequenceVectors.Builder<T>	SequenceVectors.Builder.resetModel(boolean reallyReset) This method defines, should all model be reset before training.
SequenceVectors.Builder<T>	SequenceVectors.Builder.sampling(double sampling) This method defines sub-sampling threshold.
SequenceVectors.Builder<T>	SequenceVectors.Builder.seed(long randomSeed) Sets seed for random numbers generator.
SequenceVectors.Builder<T>	SequenceVectors.Builder.sequenceLearningAlgorithm(SequenceLearningAlgorithm<T> algorithm) Sets specific LearningAlgorithm as Sequence Learning Algorithm
SequenceVectors.Builder<T>	SequenceVectors.Builder.sequenceLearningAlgorithm(String algoName) Sets specific LearningAlgorithm as Sequence Learning Algorithm
SequenceVectors.Builder<T>	SequenceVectors.Builder.setVectorsListeners(Collection<VectorsListener<T>> listeners) This method sets VectorsListeners for this SequenceVectors model
SequenceVectors.Builder<T>	SequenceVectors.Builder.stopWords(Collection<T> stopList) You can provide collection of objects to be ignored, and excluded out of model Please note: Object labels and hashCode will be used for filtering
SequenceVectors.Builder<T>	SequenceVectors.Builder.stopWords(List<String> stopList) You can provide collection of objects to be ignored, and excluded out of model Please note: Object labels and hashCode will be used for filtering
SequenceVectors.Builder<T>	SequenceVectors.Builder.trainElementsRepresentation(boolean trainElements)
SequenceVectors.Builder<T>	SequenceVectors.Builder.trainSequencesRepresentation(boolean trainSequences)
SequenceVectors.Builder<T>	SequenceVectors.Builder.unknownElement(T element) This method allows you to specify SequenceElement that will be used as UNK element, if UNK is used
SequenceVectors.Builder<T>	SequenceVectors.Builder.useAdaGrad(boolean reallyUse) Deprecated.
protected SequenceVectors.Builder<T>	SequenceVectors.Builder.useExistingWordVectors(WordVectors vec) This method allows you to use pre-built WordVectors model (SkipGram or GloVe) for DBOW sequence learning.
SequenceVectors.Builder<T>	SequenceVectors.Builder.useHierarchicSoftmax(boolean reallyUse) Enable/disable hierarchic softmax
SequenceVectors.Builder<T>	SequenceVectors.Builder.usePreciseWeightInit(boolean reallyUse) If set to true, initial weights for elements/sequences will be derived from elements themself.
SequenceVectors.Builder<T>	SequenceVectors.Builder.useUnknown(boolean reallyUse) This method allows you to specify, if UNK word should be used internally
SequenceVectors.Builder<T>	SequenceVectors.Builder.useVariableWindow(int... windows) This method allows to use variable window size.
SequenceVectors.Builder<T>	SequenceVectors.Builder.vocabCache(VocabCache<T> vocabCache) You can pass externally built vocabCache object, containing vocabulary
SequenceVectors.Builder<T>	SequenceVectors.Builder.windowSize(int windowSize) Sets window size for skip-Gram training
SequenceVectors.Builder<T>	SequenceVectors.Builder.workers(int numWorkers) Sets number of worker threads to be used in calculations

Uses of SequenceVectors.Builder in org.deeplearning4j.models.word2vec

Subclasses of SequenceVectors.Builder in org.deeplearning4j.models.word2vec

Modifier and Type	Class and Description
static class	Word2Vec.Builder