List<E> stopWords
int minWordFrequency
List<E> labels
AtomicLong numWordsEncountered
InvertedIndex<T extends SequenceElement> index
int batchSize
double sample
boolean stem
DocumentIterator iter
DataSetIterator baseIterator
BlockingQueue<E> blockingQueue
Thread thread
org.deeplearning4j.datasets.iterator.AsyncDataSetIterator.IteratorRunnable runnable
int batch
int numExamples
BaseDataFetcher fetcher
DataSetPreProcessor preProcessor
int numPasses
int batch
DataSetIterator iter
int passes
DataSetPreProcessor preProcessor
DataSetIterator iter
DataSetPreProcessor preProcessor
org.nd4j.linalg.dataset.DataSet sampleFrom
int batchSize
int totalNumberSamples
int numTimesSampled
DataSetPreProcessor preProcessor
TextVectorizer textVectorizer
boolean tfidf
File reutersRootDir
org.nd4j.linalg.dataset.DataSet load
org.nd4j.linalg.api.ndarray.INDArray syn0
org.nd4j.linalg.api.ndarray.INDArray syn1
int vectorLength
com.google.common.util.concurrent.AtomicDouble lr
double[] expTable
long seed
org.nd4j.linalg.api.ndarray.INDArray table
org.nd4j.linalg.api.ndarray.INDArray syn1Neg
boolean useAdaGrad
double negative
VocabCache<T extends SequenceElement> vocab
Map<K,V> codes
Long tableId
int minWordFrequency
double learningRate
double minLearningRate
int layersSize
boolean useAdaGrad
int batchSize
int iterations
int epochs
int window
long seed
double negative
double sampling
int learningRateDecayWords
boolean hugeModelExpected
int scavengerActivationThreshold
int scavengerRetentionDelay
String elementsLearningAlgorithm
String sequenceLearningAlgorithm
int vocabSize
int minWordFrequency
WeightLookupTable<T extends SequenceElement> lookupTable
VocabCache<T extends SequenceElement> vocab
int layerSize
int numIterations
int numEpochs
double negative
double sampling
com.google.common.util.concurrent.AtomicDouble learningRate
double minLearningRate
int window
int batchSize
int learningRateDecayWords
boolean resetModel
boolean useAdeGrad
int workers
boolean trainSequenceVectors
boolean trainElementsVectors
List<E> stopWords
boolean symmetric
int windowSize
VocabCache<T extends SequenceElement> vocabCache
SequenceIterator<T extends SequenceElement> sequenceIterator
int workers
File targetFile
ReentrantReadWriteLock lock
long memory_threshold
org.deeplearning4j.models.glove.AbstractCoOccurrences.ShadowCopyThread shadowThread
CountMap<T extends SequenceElement> coOccurrenceCounts
AtomicLong processedSequences
int windowSize
InvertedIndex<T extends SequenceElement> index
boolean symmetric
Counter<E> sentenceOccurrences
CounterMap<K,V> coOCurreneCounts
List<E> coOccurrences
org.nd4j.linalg.learning.AdaGrad weightAdaGrad
org.nd4j.linalg.learning.AdaGrad biasAdaGrad
org.nd4j.linalg.api.ndarray.INDArray bias
double xMax
double maxCount
double learningRate
double xMax
int windowSize
CoOccurrences coOccurrences
boolean stem
Queue<E> jobQueue
int batchSize
int minWordFrequency
double maxCount
int iterations
boolean symmetric
boolean shuffle
int numWorkers
int id
String sentence
LabelsSource labelsSource
LabelAwareIterator labelAwareIterator
NeuralNetConfiguration conf
Collection<E> iterationListeners
double value
int numOuts
int numHidden
org.nd4j.linalg.api.rng.Random rng
boolean useDoubleTensors
boolean combineClassification
boolean simplifiedModel
boolean randomFeatureVectors
double scalingForInit
boolean lowerCasefeatureNames
String activationFunction
String outputActivation
org.nd4j.linalg.learning.AdaGrad paramAdaGrad
int numParameters
double regTransformMatrix
double regClassification
double regWordVector
int inputMiniBatchSize
int adagradResetFrequency
double regTransformINDArray
MultiDimensionalMap<K,T,V> binaryTransform
MultiDimensionalMap<K,T,V> binaryTensors
Map<K,V> unaryClassification
WeightLookupTable<T extends SequenceElement> featureVectors
VocabCache<T extends SequenceElement> vocabCache
MultiDimensionalMap<K,T,V> binaryClassification
int numBinaryMatrices
int binaryTransformSize
int binaryINd4jize
int binaryClassificationSize
int numUnaryMatrices
int unaryClassificationSize
org.nd4j.linalg.api.ndarray.INDArray identity
Map<K,V> classWeights
int index
SequenceIterator<T extends SequenceElement> iterator
VectorsConfiguration configuration
List<E> elements
SequenceElement label
int sequenceId
InputStreamCreator is
AtomicInteger count
AtomicInteger count
String work
boolean stem
List<E> label
SentenceIterator sentenceIter
TokenizerFactory tokenizerFactory
String sentence
AtomicLong changed
List<E> tokens
AtomicLong changeTracker
Word2Vec vec
LabelAwareSentenceIterator iter
List<E> cachedWindow
List<E> labels
int batch
DataSetPreProcessor preProcessor
Map<K,V> vocabulary
int minWordFrequency
boolean hugeModelExpected
int retentionDelay
VocabCache<T extends SequenceElement> vocabCache
int scavengerThreshold
long totalWordOccurencies
AtomicInteger totalWordCount
org.slf4j.Logger logger
String word
int count
double[] syn0
double[] syn1
double[] syn1Neg
double[] historicalGradient
boolean special
Map<K,V> vocabulary
Map<K,V> idxMap
AtomicLong documentsCounter
int minWordFrequency
boolean hugeModelExpected
List<E> stopWords
int scavengerThreshold
int retentionDelay
AtomicLong totalWordCount
org.slf4j.Logger logger
VocabCache<T extends SequenceElement> vocabCache
int minWordFrequency
AtomicLong counter
String template
boolean useFormatter
List<E> labels
long maxCount
VocabCache<T extends SequenceElement> vocabCache
int numDocs
AtomicBoolean indexBeingCreated
AtomicBoolean readerClosed
AtomicInteger totalWords
int batchSize
List<E> miniBatches
List<E> currMiniBatch
double sample
AtomicLong nextRandom
String indexPath
Queue<E> miniBatchDocs
AtomicBoolean miniBatchGoing
boolean miniBatch
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