Uses of Class
org.deeplearning4j.models.sequencevectors.sequence.Sequence

Packages that use Sequence

Package	Description
org.deeplearning4j.models.embeddings.learning
org.deeplearning4j.models.embeddings.learning.impl.elements
org.deeplearning4j.models.embeddings.learning.impl.sequence
org.deeplearning4j.models.sequencevectors
org.deeplearning4j.models.sequencevectors.graph.walkers
org.deeplearning4j.models.sequencevectors.graph.walkers.impl
org.deeplearning4j.models.sequencevectors.interfaces
org.deeplearning4j.models.sequencevectors.iterators
org.deeplearning4j.models.sequencevectors.transformers
org.deeplearning4j.models.sequencevectors.transformers.impl
org.deeplearning4j.models.sequencevectors.transformers.impl.iterables
org.deeplearning4j.models.word2vec.wordstore

Uses of Sequence in org.deeplearning4j.models.embeddings.learning

Methods in org.deeplearning4j.models.embeddings.learning with parameters of type Sequence

Modifier and Type	Method	Description
org.nd4j.linalg.api.ndarray.INDArray	SequenceLearningAlgorithm.inferSequence(Sequence<T> sequence, long nextRandom, double learningRate, double minLearningRate, int iterations)	This method does training on previously unseen paragraph, and returns inferred vector
double	ElementsLearningAlgorithm.learnSequence(Sequence<T> sequence, AtomicLong nextRandom, double learningRate)	This method does training over the sequence of elements passed into it
double	ElementsLearningAlgorithm.learnSequence(Sequence<T> sequence, AtomicLong nextRandom, double learningRate, BatchSequences<T> batchSequences)
double	SequenceLearningAlgorithm.learnSequence(Sequence<T> sequence, AtomicLong nextRandom, double learningRate, BatchSequences<T> batchSequences)	This method does training over the sequence of elements passed into it

Uses of Sequence in org.deeplearning4j.models.embeddings.learning.impl.elements

Methods in org.deeplearning4j.models.embeddings.learning.impl.elements that return Sequence

Modifier and Type	Method	Description
Sequence<T>	CBOW.applySubsampling(@NonNull Sequence<T> sequence, @NonNull AtomicLong nextRandom)
Sequence<T>	SkipGram.applySubsampling(@NonNull Sequence<T> sequence, @NonNull AtomicLong nextRandom)

Methods in org.deeplearning4j.models.embeddings.learning.impl.elements with parameters of type Sequence

Modifier and Type	Method	Description
Sequence<T>	CBOW.applySubsampling(@NonNull Sequence<T> sequence, @NonNull AtomicLong nextRandom)
Sequence<T>	SkipGram.applySubsampling(@NonNull Sequence<T> sequence, @NonNull AtomicLong nextRandom)
double	CBOW.learnSequence(Sequence<T> sequence, AtomicLong nextRandom, double learningRate)
double	CBOW.learnSequence(Sequence<T> sequence, AtomicLong nextRandom, double learningRate, BatchSequences<T> batchSequences)
double	SkipGram.learnSequence(@NonNull Sequence<T> sequence, @NonNull AtomicLong nextRandom, double learningRate)	Learns sequence using SkipGram algorithm
double	SkipGram.learnSequence(@NonNull Sequence<T> sequence, @NonNull AtomicLong nextRandom, double learningRate, BatchSequences<T> batchSequences)

Uses of Sequence in org.deeplearning4j.models.embeddings.learning.impl.sequence

Methods in org.deeplearning4j.models.embeddings.learning.impl.sequence with parameters of type Sequence

Modifier and Type	Method	Description
protected void	DBOW.dbow(int i, Sequence<T> sequence, int b, AtomicLong nextRandom, double alpha, boolean isInference, org.nd4j.linalg.api.ndarray.INDArray inferenceVector, BatchSequences<T> batchSequences)
void	DM.dm(int i, Sequence<T> sequence, int b, AtomicLong nextRandom, double alpha, List<T> labels, boolean isInference, org.nd4j.linalg.api.ndarray.INDArray inferenceVector, BatchSequences<T> batchSequences)
org.nd4j.linalg.api.ndarray.INDArray	DBOW.inferSequence(Sequence<T> sequence, long nextRandom, double learningRate, double minLearningRate, int iterations)	This method does training on previously unseen paragraph, and returns inferred vector
org.nd4j.linalg.api.ndarray.INDArray	DM.inferSequence(Sequence<T> sequence, long nr, double learningRate, double minLearningRate, int iterations)	This method does training on previously unseen paragraph, and returns inferred vector
double	DBOW.learnSequence(@NonNull Sequence<T> sequence, @NonNull AtomicLong nextRandom, double learningRate, BatchSequences<T> batchSequences)
double	DM.learnSequence(Sequence<T> sequence, AtomicLong nextRandom, double learningRate, BatchSequences<T> batchSequences)

Uses of Sequence in org.deeplearning4j.models.sequencevectors

Methods in org.deeplearning4j.models.sequencevectors that return Sequence

Modifier and Type	Method	Description
Sequence<T>	SequenceVectors.AsyncSequencer.nextSentence()

Methods in org.deeplearning4j.models.sequencevectors with parameters of type Sequence

Modifier and Type	Method	Description
protected void	SequenceVectors.trainSequence(@NonNull Sequence<T> sequence, AtomicLong nextRandom, double alpha)

Uses of Sequence in org.deeplearning4j.models.sequencevectors.graph.walkers

Methods in org.deeplearning4j.models.sequencevectors.graph.walkers that return Sequence

Modifier and Type	Method	Description
Sequence<T>	GraphWalker.next()	This method returns next walk sequence from this graph

Uses of Sequence in org.deeplearning4j.models.sequencevectors.graph.walkers.impl

Methods in org.deeplearning4j.models.sequencevectors.graph.walkers.impl that return Sequence

Modifier and Type	Method	Description
Sequence<V>	NearestVertexWalker.next()
Sequence<T>	PopularityWalker.next()	This method returns next walk sequence from this graph
Sequence<T>	RandomWalker.next()	This method returns next walk sequence from this graph
Sequence<T>	WeightedWalker.next()	This method returns next walk sequence from this graph
protected Sequence<V>	NearestVertexWalker.walk(Vertex<V> node, int cDepth)

Uses of Sequence in org.deeplearning4j.models.sequencevectors.interfaces

Methods in org.deeplearning4j.models.sequencevectors.interfaces that return Sequence

Modifier and Type	Method	Description
Sequence<T>	SequenceIterator.nextSequence()

Uses of Sequence in org.deeplearning4j.models.sequencevectors.iterators

Methods in org.deeplearning4j.models.sequencevectors.iterators that return Sequence

Modifier and Type	Method	Description
Sequence<T>	AbstractSequenceIterator.nextSequence()	Returns next sequence out of iterator
Sequence<T>	FilteredSequenceIterator.nextSequence()	Returns filtered sequence, that contains sequence elements from vocabulary only.
Sequence<T>	SynchronizedSequenceIterator.nextSequence()	Returns next sequence from data source

Constructor parameters in org.deeplearning4j.models.sequencevectors.iterators with type arguments of type Sequence

Constructor	Description
AbstractSequenceIterator(@NonNull Iterable<Sequence<T>> iterable)
Builder(@NonNull Iterable<Sequence<T>> iterable)	Builds AbstractSequenceIterator on top of Iterable object

Uses of Sequence in org.deeplearning4j.models.sequencevectors.transformers

Methods in org.deeplearning4j.models.sequencevectors.transformers that return Sequence

Modifier and Type	Method	Description
Sequence<T>	SequenceTransformer.transformToSequence(V object)	This is generic method for transformation data from any format to Sequence of SequenceElement.

Uses of Sequence in org.deeplearning4j.models.sequencevectors.transformers.impl

Methods in org.deeplearning4j.models.sequencevectors.transformers.impl that return Sequence

Modifier and Type	Method	Description
Sequence<VocabWord>	SentenceTransformer.transformToSequence(String object)

Methods in org.deeplearning4j.models.sequencevectors.transformers.impl that return types with arguments of type Sequence

Modifier and Type	Method	Description
Iterator<Sequence<T>>	GraphTransformer.iterator()
Iterator<Sequence<VocabWord>>	SentenceTransformer.iterator()

Uses of Sequence in org.deeplearning4j.models.sequencevectors.transformers.impl.iterables

Fields in org.deeplearning4j.models.sequencevectors.transformers.impl.iterables with type parameters of type Sequence

Modifier and Type	Field	Description
protected BlockingQueue<Future<Sequence<VocabWord>>>	ParallelTransformerIterator.buffer

Methods in org.deeplearning4j.models.sequencevectors.transformers.impl.iterables that return Sequence

Modifier and Type	Method	Description
Sequence<VocabWord>	BasicTransformerIterator.next()
Sequence<VocabWord>	ParallelTransformerIterator.next()

Uses of Sequence in org.deeplearning4j.models.word2vec.wordstore

Methods in org.deeplearning4j.models.word2vec.wordstore with parameters of type Sequence

Modifier and Type	Method	Description
void	VocabConstructor.processDocument(AbstractCache<T> targetVocab, Sequence<T> document, AtomicLong finalCounter, AtomicLong loopCounter)

Constructors in org.deeplearning4j.models.word2vec.wordstore with parameters of type Sequence

Constructor	Description
VocabRunnable(@NonNull AbstractCache<T> targetVocab, @NonNull Sequence<T> sequence, @NonNull AtomicLong finalCounter, @NonNull AtomicLong loopCounter)