List<E> stopWords
int minWordFrequency
List<E> labels
AtomicLong numWordsEncountered
InvertedIndex index
int batchSize
double sample
boolean stem
boolean cleanup
DocumentIterator iter
int batch
int numExamples
DataSetFetcher 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 vocab
Map<K,V> codes
int minWordFrequency
WeightLookupTable lookupTable
VocabCache vocab
int layerSize
List<E> stopWords
int windowSize
InvertedIndex index
boolean symmetric
Counter<E> sentenceOccurrences
CounterMap<K,V> coOCurreneCounts
List<E> coOccurrences
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
org.nd4j.linalg.learning.AdaGrad weightAdaGrad
org.nd4j.linalg.learning.AdaGrad biasAdaGrad
org.nd4j.linalg.api.ndarray.INDArray bias
double xMax
double maxCount
int id
String sentence
double value
int numOuts
int numHidden
org.apache.commons.math3.random.RandomGenerator rng
boolean useDoubleTensors
boolean combineClassification
boolean simplifiedModel
boolean randomFeatureVectors
double scalingForInit
boolean lowerCasefeatureNames
org.nd4j.linalg.api.activation.ActivationFunction activationFunction
org.nd4j.linalg.api.activation.ActivationFunction outputActivation
org.nd4j.linalg.learning.AdaGrad paramAdaGrad
int numParameters
double regTransformMatrix
double regClassification
double regWordVector
int adagradResetFrequency
double regTransformINDArray
MultiDimensionalMap<K,T,V> binaryTransform
MultiDimensionalMap<K,T,V> binaryINd4j
Map<K,V> unaryClassification
WeightLookupTable featureVectors
VocabCache 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
List<E> trainingTrees
Map<K,V> classWeights
InputStreamCreator is
AtomicInteger count
AtomicInteger count
String work
boolean stem
List<E> label
int batchSize
double sample
long totalWords
com.google.common.util.concurrent.AtomicDouble alpha
int window
boolean shouldReset
int numIterations
long seed
boolean saveVocab
double minLearningRate
int learningRateDecayWords
InvertedIndex invertedIndex
boolean useAdaGrad
int workers
String sentence
AtomicLong changed
List<E> tokens
AtomicLong changeTracker
Word2Vec vec
LabelAwareSentenceIterator iter
List<E> cachedWindow
List<E> labels
boolean homogenization
boolean addLabels
int batch
org.nd4j.linalg.dataset.DataSet curr
DataSetPreProcessor preProcessor
VocabCache vocabCache
int minWordFrequency
VocabCache vocabCache
int numDocs
List<E> words
boolean cache
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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