Serialized Form (deeplearning4j-nlp 0.0.3.2.6 API)

Package org.deeplearning4j.bagofwords.vectorizer
- Class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer extends BaseTextVectorizer implements Serializable
- Class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer extends Object implements Serializable
  - Serialized Fields
    - stopWords
```
List<E> stopWords
```
    - layerSize
```
int layerSize
```
    - minWordFrequency
```
int minWordFrequency
```
    - labels
```
List<E> labels
```
    - numWordsEncountered
```
AtomicLong numWordsEncountered
```
    - index
```
InvertedIndex index
```
    - batchSize
```
int batchSize
```
    - sample
```
double sample
```
- Class org.deeplearning4j.bagofwords.vectorizer.DefaultInputStreamCreator extends Object implements Serializable
  - Serialized Fields
    - iter
```
DocumentIterator iter
```
- Class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer extends BaseTextVectorizer implements Serializable
Package org.deeplearning4j.datasets.iterator
- Class org.deeplearning4j.datasets.iterator.BaseDatasetIterator extends Object implements Serializable
  
  serialVersionUID:
  
  -116636792426198949L
  - Serialized Fields
    - batch
```
int batch
```
    - numExamples
```
int numExamples
```
    - fetcher
```
DataSetFetcher fetcher
```
    - preProcessor
```
DataSetPreProcessor preProcessor
```
- Class org.deeplearning4j.datasets.iterator.CSVDataSetIterator extends BaseDatasetIterator implements Serializable
- Class org.deeplearning4j.datasets.iterator.CurvesDataSetIterator extends BaseDatasetIterator implements Serializable
- Class org.deeplearning4j.datasets.iterator.MovingWindowBaseDataSetIterator extends BaseDatasetIterator implements Serializable
- Class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator extends Object implements Serializable
  - Serialized Fields
    - numPasses
```
int numPasses
```
    - batch
```
int batch
```
    - iter
```
DataSetIterator iter
```
    - passes
```
int passes
```
    - preProcessor
```
DataSetPreProcessor preProcessor
```
- Class org.deeplearning4j.datasets.iterator.ReconstructionDataSetIterator extends Object implements Serializable
  - Serialized Fields
    - iter
```
DataSetIterator iter
```
    - preProcessor
```
DataSetPreProcessor preProcessor
```
- Class org.deeplearning4j.datasets.iterator.ReutersNewsGroupsDataSetIterator extends BaseDatasetIterator implements Serializable
- Class org.deeplearning4j.datasets.iterator.SamplingDataSetIterator extends Object implements Serializable
  
  serialVersionUID:
  
  -2700563801361726914L
  - Serialized Fields
    - sampleFrom
```
org.nd4j.linalg.dataset.DataSet sampleFrom
```
    - batchSize
```
int batchSize
```
    - totalNumberSamples
```
int totalNumberSamples
```
    - numTimesSampled
```
int numTimesSampled
```
    - preProcessor
```
DataSetPreProcessor preProcessor
```
Package org.deeplearning4j.datasets.loader
- Class org.deeplearning4j.datasets.loader.ReutersNewsGroupsLoader extends BaseDataFetcher implements Serializable
  - Serialized Fields
    - textVectorizer
```
TextVectorizer textVectorizer
```
    - tfidf
```
boolean tfidf
```
    - reutersRootDir
```
File reutersRootDir
```
    - load
```
org.nd4j.linalg.dataset.DataSet load
```
Package org.deeplearning4j.models.rntn
- Class org.deeplearning4j.models.rntn.RNTN extends Object implements Serializable
  - Serialized Fields
    - value
```
double value
```
    - numOuts
```
int numOuts
```
    - numHidden
```
int numHidden
```
    - rng
```
org.apache.commons.math3.random.RandomGenerator rng
```
    - useDoubleTensors
```
boolean useDoubleTensors
```
    - combineClassification
```
boolean combineClassification
```
    - simplifiedModel
```
boolean simplifiedModel
```
    - randomFeatureVectors
```
boolean randomFeatureVectors
```
    - scalingForInit
```
double scalingForInit
```
    - lowerCasefeatureNames
```
boolean lowerCasefeatureNames
```
    - activationFunction
```
org.nd4j.linalg.api.activation.ActivationFunction activationFunction
```
    - outputActivation
```
org.nd4j.linalg.api.activation.ActivationFunction outputActivation
```
    - paramAdaGrad
```
org.nd4j.linalg.learning.AdaGrad paramAdaGrad
```
    - numParameters
```
int numParameters
```
    - regTransformMatrix
```
double regTransformMatrix
```
      Regularization cost for the applyTransformToOrigin matrix
    - regClassification
```
double regClassification
```
      Regularization cost for the classification matrices
    - regWordVector
```
double regWordVector
```
      Regularization cost for the word vectors
    - adagradResetFrequency
```
int adagradResetFrequency
```
      How many epochs between resets of the adagrad learning rates. Set to 0 to never reset.
    - regTransformINDArray
```
double regTransformINDArray
```
      Regularization cost for the applyTransformToOrigin INDArray
    - binaryTransform
```
MultiDimensionalMap<K,T,V> binaryTransform
```
      Nx2N+1, where N is the size of the word vectors
    - binaryINd4j
```
MultiDimensionalMap<K,T,V> binaryINd4j
```
      2Nx2NxN, where N is the size of the word vectors
    - unaryClassification
```
Map<K,V> unaryClassification
```
      CxN+1, where N = size of word vectors, C is the number of classes
    - featureVectors
```
VocabCache featureVectors
```
    - binaryClassification
```
MultiDimensionalMap<K,T,V> binaryClassification
```
      CxN+1, where N = size of word vectors, C is the number of classes
    - numBinaryMatrices
```
int numBinaryMatrices
```
      Cached here for easy calculation of the model size; MultiDimensionalMap does not return that in O(1) time
    - binaryTransformSize
```
int binaryTransformSize
```
      How many elements a transformation matrix has
    - binaryINd4jize
```
int binaryINd4jize
```
      How many elements the binary transformation INd4j have
    - binaryClassificationSize
```
int binaryClassificationSize
```
      How many elements a classification matrix has
    - numUnaryMatrices
```
int numUnaryMatrices
```
      Cached here for easy calculation of the model size; MultiDimensionalMap does not return that in O(1) time
    - unaryClassificationSize
```
int unaryClassificationSize
```
      How many elements a classification matrix has
    - identity
```
org.nd4j.linalg.api.ndarray.INDArray identity
```
    - trainingTrees
```
List<E> trainingTrees
```
    - classWeights
```
Map<K,V> classWeights
```
- Class org.deeplearning4j.models.rntn.Tree extends Object implements Serializable
  - Serialized Fields
    - vector
```
org.nd4j.linalg.api.ndarray.INDArray vector
```
    - prediction
```
org.nd4j.linalg.api.ndarray.INDArray prediction
```
    - children
```
List<E> children
```
    - error
```
double error
```
    - parent
```
Tree parent
```
    - headWord
```
String headWord
```
    - value
```
String value
```
    - label
```
String label
```
    - type
```
String type
```
    - goldLabel
```
int goldLabel
```
    - tokens
```
List<E> tokens
```
    - tags
```
List<E> tags
```
    - parse
```
String parse
```
    - begin
```
int begin
```
    - end
```
int end
```
Package org.deeplearning4j.models.word2vec
- Class org.deeplearning4j.models.word2vec.StreamWork extends Object implements Serializable
  - Serialized Fields
    - is
```
InputStreamCreator is
```
    - count
```
AtomicInteger count
```
- Class org.deeplearning4j.models.word2vec.VocabWord extends Object implements Serializable
  
  serialVersionUID:
  
  2223750736522624256L
  - Serialized Fields
    - wordFrequency
```
com.google.common.util.concurrent.AtomicDouble wordFrequency
```
    - index
```
int index
```
    - left
```
VocabWord left
```
    - right
```
VocabWord right
```
    - parent
```
VocabWord parent
```
    - codes
```
int[] codes
```
    - word
```
String word
```
    - historicalGradient
```
org.nd4j.linalg.api.ndarray.INDArray historicalGradient
```
    - points
```
int[] points
```
    - codeLength
```
int codeLength
```
- Class org.deeplearning4j.models.word2vec.VocabWork extends Object implements Serializable
  - Serialized Fields
    - count
```
AtomicInteger count
```
    - work
```
String work
```
- Class org.deeplearning4j.models.word2vec.Word2Vec extends Object implements Serializable
  
  serialVersionUID:
  
  -2367495638286018038L
  - Serialized Fields
    - batchSize
```
int batchSize
```
    - topNSize
```
int topNSize
```
    - sample
```
double sample
```
    - totalWords
```
long totalWords
```
    - rateOfChange
```
AtomicInteger rateOfChange
```
    - alpha
```
com.google.common.util.concurrent.AtomicDouble alpha
```
    - minWordFrequency
```
int minWordFrequency
```
    - window
```
int window
```
    - layerSize
```
int layerSize
```
    - stopWords
```
List<E> stopWords
```
    - shouldReset
```
boolean shouldReset
```
    - numIterations
```
int numIterations
```
    - seed
```
long seed
```
    - saveVocab
```
boolean saveVocab
```
    - minLearningRate
```
double minLearningRate
```
    - vectorizer
```
TextVectorizer vectorizer
```
    - learningRateDecayWords
```
int learningRateDecayWords
```
    - useAdaGrad
```
boolean useAdaGrad
```
Package org.deeplearning4j.models.word2vec.actor
- Class org.deeplearning4j.models.word2vec.actor.SentenceMessage extends Object implements Serializable
  
  serialVersionUID:
  
  -8132989189483837222L
  - Serialized Fields
    - sentence
```
String sentence
```
    - changed
```
AtomicLong changed
```
- Class org.deeplearning4j.models.word2vec.actor.SkipGramMessage extends Object implements Serializable
  - Serialized Fields
    - i
```
int i
```
    - b
```
int b
```
    - sentence
```
List<E> sentence
```
- Class org.deeplearning4j.models.word2vec.actor.VocabMessage extends Object implements Serializable
  
  serialVersionUID:
  
  -6474030463892664765L
  - Serialized Fields
    - tokens
```
List<E> tokens
```
    - changeTracker
```
AtomicLong changeTracker
```
Package org.deeplearning4j.models.word2vec.iterator
- Class org.deeplearning4j.models.word2vec.iterator.Word2VecDataFetcher extends Object implements Serializable
  
  serialVersionUID:
  
  3245955804749769475L
  - Serialized Fields
    - vec
```
Word2Vec vec
```
    - labels
```
List<E> labels
```
    - batch
```
int batch
```
    - cache
```
List<E> cache
```
    - totalExamples
```
int totalExamples
```
    - path
```
String path
```
- Class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator extends Object implements Serializable
  - Serialized Fields
    - vec
```
Word2Vec vec
```
    - iter
```
LabelAwareSentenceIterator iter
```
    - cachedWindow
```
List<E> cachedWindow
```
    - labels
```
List<E> labels
```
    - homogenization
```
boolean homogenization
```
    - addLabels
```
boolean addLabels
```
    - batch
```
int batch
```
    - curr
```
org.nd4j.linalg.dataset.DataSet curr
```
    - preProcessor
```
DataSetPreProcessor preProcessor
```
Package org.deeplearning4j.models.word2vec.wordstore
- Class org.deeplearning4j.models.word2vec.wordstore.BaseLookupCache extends Object implements Serializable
  - Serialized Fields
    - wordIndex
```
Index wordIndex
```
    - useAdaGrad
```
boolean useAdaGrad
```
    - wordFrequencies
```
Counter<E> wordFrequencies
```
    - docFrequencies
```
Counter<E> docFrequencies
```
    - vocabs
```
Map<K,V> vocabs
```
    - tokens
```
Map<K,V> tokens
```
    - codes
```
Map<K,V> codes
```
    - vectorLength
```
int vectorLength
```
    - totalWordOccurrences
```
AtomicInteger totalWordOccurrences
```
    - lr
```
com.google.common.util.concurrent.AtomicDouble lr
```
    - seed
```
long seed
```
    - numDocs
```
int numDocs
```
    - negative
```
double negative
```

Package org.deeplearning4j.models.word2vec.wordstore.inmemory

Class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache extends Object implements Serializable

Serialized Fields

wordIndex
```
Index wordIndex
```
useAdaGrad
```
boolean useAdaGrad
```
wordFrequencies
```
Counter<E> wordFrequencies
```
docFrequencies
```
Counter<E> docFrequencies
```
vocabs
```
Map<K,V> vocabs
```
tokens
```
Map<K,V> tokens
```
codes
```
Map<K,V> codes
```

syn0

org.nd4j.linalg.api.ndarray.INDArray syn0

syn1

org.nd4j.linalg.api.ndarray.INDArray syn1

vectorLength
```
int vectorLength
```
totalWordOccurrences
```
AtomicLong totalWordOccurrences
```

lr

com.google.common.util.concurrent.AtomicDouble lr

expTable
```
double[] expTable
```
seed
```
long seed
```
numDocs
```
int numDocs
```

table

org.nd4j.linalg.api.ndarray.INDArray table

syn1Neg

org.nd4j.linalg.api.ndarray.INDArray syn1Neg

negative
```
double negative
```

Package org.deeplearning4j.plot.dropwizard
- Class org.deeplearning4j.plot.dropwizard.ApiResource extends io.dropwizard.Application<ApiConfiguration> implements Serializable
  - Serialized Fields
    - coords
```
List<E> coords
```
Package org.deeplearning4j.text.corpora.sentiwordnet
- Class org.deeplearning4j.text.corpora.sentiwordnet.SWN3 extends Object implements Serializable
  
  serialVersionUID:
  
  -2614454572930777658L
  - Serialized Fields
    - _dict
```
HashMap<K,V> _dict
```
    - negationWords
```
Set<E> negationWords
```
    - analysisEngine
```
org.apache.uima.analysis_engine.AnalysisEngine analysisEngine
```
Package org.deeplearning4j.text.documentiterator
- Class org.deeplearning4j.text.documentiterator.FileDocumentIterator extends Object implements Serializable
  - Serialized Fields
    - iter
```
Iterator<E> iter
```
    - lineIterator
```
org.apache.commons.io.LineIterator lineIterator
```
    - rootDir
```
File rootDir
```
Package org.deeplearning4j.text.invertedindex
- Class org.deeplearning4j.text.invertedindex.LuceneInvertedIndex extends Object implements Serializable
  - Serialized Fields
    - vocabCache
```
VocabCache vocabCache
```
    - numDocs
```
int numDocs
```
    - words
```
List<E> words
```
    - cache
```
boolean cache
```
    - indexBeingCreated
```
AtomicBoolean indexBeingCreated
```
    - readerClosed
```
AtomicBoolean readerClosed
```
    - totalWords
```
AtomicInteger totalWords
```
    - batchSize
```
int batchSize
```
    - miniBatches
```
List<E> miniBatches
```
    - sample
```
double sample
```
    - nextRandom
```
AtomicLong nextRandom
```
    - indexPath
```
String indexPath
```
    - miniBatchDocs
```
Queue<E> miniBatchDocs
```
    - miniBatchGoing
```
AtomicBoolean miniBatchGoing
```
Package org.deeplearning4j.text.movingwindow
- Class org.deeplearning4j.text.movingwindow.Window extends Object implements Serializable
  
  serialVersionUID:
  
  6359906393699230579L
  - Serialized Fields
    - words
```
List<E> words
```
    - label
```
String label
```
    - beginLabel
```
boolean beginLabel
```
    - endLabel
```
boolean endLabel
```
    - windowSize
```
int windowSize
```
    - median
```
int median
```
    - begin
```
int begin
```
    - end
```
int end
```

Serialized Form

Package org.deeplearning4j.bagofwords.vectorizer

Class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer extends BaseTextVectorizer implements Serializable

Class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer extends Object implements Serializable

Serialized Fields

stopWords

layerSize

minWordFrequency

labels

numWordsEncountered

index

batchSize

sample

Class org.deeplearning4j.bagofwords.vectorizer.DefaultInputStreamCreator extends Object implements Serializable

Serialized Fields

iter

Class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer extends BaseTextVectorizer implements Serializable

Package org.deeplearning4j.datasets.iterator

Class org.deeplearning4j.datasets.iterator.BaseDatasetIterator extends Object implements Serializable

Serialized Fields

batch

numExamples

fetcher

preProcessor

Class org.deeplearning4j.datasets.iterator.CSVDataSetIterator extends BaseDatasetIterator implements Serializable

Class org.deeplearning4j.datasets.iterator.CurvesDataSetIterator extends BaseDatasetIterator implements Serializable

Class org.deeplearning4j.datasets.iterator.MovingWindowBaseDataSetIterator extends BaseDatasetIterator implements Serializable

Class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator extends Object implements Serializable

Serialized Fields

numPasses

batch

iter

passes

preProcessor

Class org.deeplearning4j.datasets.iterator.ReconstructionDataSetIterator extends Object implements Serializable

Serialized Fields

iter

preProcessor

Class org.deeplearning4j.datasets.iterator.ReutersNewsGroupsDataSetIterator extends BaseDatasetIterator implements Serializable

Class org.deeplearning4j.datasets.iterator.SamplingDataSetIterator extends Object implements Serializable

Serialized Fields

sampleFrom

batchSize

totalNumberSamples

numTimesSampled

preProcessor

Package org.deeplearning4j.datasets.loader

Class org.deeplearning4j.datasets.loader.ReutersNewsGroupsLoader extends BaseDataFetcher implements Serializable

Serialized Fields

textVectorizer

tfidf

reutersRootDir

load

Package org.deeplearning4j.models.rntn

Class org.deeplearning4j.models.rntn.RNTN extends Object implements Serializable

Serialized Fields

value

numOuts

numHidden

rng

useDoubleTensors

combineClassification

simplifiedModel

randomFeatureVectors

scalingForInit

lowerCasefeatureNames

activationFunction

outputActivation

paramAdaGrad

numParameters

regTransformMatrix

regClassification

regWordVector

adagradResetFrequency

regTransformINDArray

binaryTransform

binaryINd4j

unaryClassification

featureVectors

binaryClassification