int minWordFrequency
VocabCache<T extends SequenceElement> vocabCache
LabelsSource labelsSource
List<E> stopWords
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
org.nd4j.linalg.dataset.DataSet ds
List<E> batchedDS
int passes
DataSetPreProcessor preProcessor
DataSetIterator iter
DataSetPreProcessor preProcessor
org.nd4j.linalg.dataset.DataSet sampleFrom
int batchSize
int totalNumberSamples
int numTimesSampled
DataSetPreProcessor preProcessor
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
org.nd4j.linalg.learning.AdaGrad adaGrad
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
String UNK
String STOP
List<E> stopList
int vocabSize
int minWordFrequency
WeightLookupTable<T extends SequenceElement> lookupTable
VocabCache<T extends SequenceElement> vocab
int layerSize
boolean initDone
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
long seed
boolean useUnknown
String UNK
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
org.nd4j.linalg.learning.AdaGrad weightAdaGrad
org.nd4j.linalg.learning.AdaGrad biasAdaGrad
org.nd4j.linalg.api.ndarray.INDArray bias
double xMax
double maxCount
LabelsSource labelsSource
VectorsConfiguration configuration
com.google.common.util.concurrent.AtomicDouble elementFrequency
int index
List<E> codes
org.nd4j.linalg.api.ndarray.INDArray historicalGradient
List<E> points
int codeLength
boolean special
boolean isLabel
AtomicLong sequencesCount
org.nd4j.linalg.learning.AdaGrad adaGrad
Long storageId
InputStreamCreator is
AtomicInteger count
AtomicInteger count
String work
boolean stem
List<E> label
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
Index wordIndex
Counter<E> wordFrequencies
Counter<E> docFrequencies
Map<K,V> vocabs
Map<K,V> tokens
AtomicLong totalWordOccurrences
int numDocs
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
Copyright © 2016. All Rights Reserved.