java.util.List<E> posFeatures
java.util.List<E> features
S3Downloader downloader
java.util.List<E> buckets
int currBucket
java.util.Iterator<E> currIterator
int minWordFrequency
VocabCache<T extends SequenceElement> vocabCache
LabelsSource labelsSource
java.util.Collection<E> stopWords
boolean isParallel
DocumentIterator iter
java.util.Map<K,V> entries
boolean dirty
double cacheTotal
MapFactory<K,V> mf
double deflt
MapFactory<K,V> mf
java.util.Map<K,V> counterMap
double defltVal
java.lang.Object first
java.lang.Object second
int size
int capacity
java.util.List<E> elements
double[] priorities
java.lang.Object first
java.lang.Object second
java.lang.Object third
ClusteringStrategy clusteringStrategy
IterationHistory iterationHistory
int currentIteration
ClusterSet clusterSet
java.util.List<E> initialPoints
org.nd4j.linalg.indexing.conditions.Condition convergenceCondition
double pointsDistributionChangeRate
org.nd4j.linalg.indexing.conditions.Condition iterationCountCondition
org.nd4j.linalg.indexing.conditions.Condition varianceVariationCondition
int period
java.util.Map<K,V> iterationsInfos
int index
ClusterSetInfo clusterSetInfo
boolean strategyApplied
ClusteringOptimizationType type
double value
ClusteringStrategyType type
java.lang.Integer initialClusterCount
ClusteringAlgorithmCondition optimizationPhaseCondition
ClusteringAlgorithmCondition terminationCondition
java.lang.String distanceFunction
boolean allowEmptyClusters
ClusteringOptimization clusteringOptimisation
ClusteringAlgorithmCondition clusteringOptimisationApplicationCondition
java.lang.String id
java.lang.String label
Point center
java.util.List<E> points
java.lang.String distanceFunction
java.lang.String distanceFunction
java.util.List<E> clusters
java.util.Map<K,V> pointDistribution
java.lang.String id
java.lang.String label
org.nd4j.linalg.api.ndarray.INDArray array
Cluster cluster
double distanceFromCenter
boolean newLocation
double averagePointDistanceFromCenter
double maxPointDistanceFromCenter
double pointDistanceFromCenterVariance
double totalPointDistanceFromCenter
java.util.Map<K,V> pointDistancesFromCenter
java.util.Map<K,V> clustersInfos
com.google.common.collect.Table<R,C,V> distancesBetweenClustersCenters
java.util.concurrent.atomic.AtomicInteger pointLocationChange
boolean threadSafe
java.util.List<E> points
KDTree.KDNode root
int dims
int size
HyperRect rect
double x
double y
double hw
double hh
QuadTree parent
QuadTree northWest
QuadTree northEast
QuadTree southWest
QuadTree southEast
boolean isLeaf
int size
int cumSize
Cell boundary
org.nd4j.linalg.api.ndarray.INDArray buf
org.nd4j.linalg.api.ndarray.INDArray data
org.nd4j.linalg.api.ndarray.INDArray centerOfMass
int[] index
int dimension
org.nd4j.linalg.api.ndarray.INDArray corner
org.nd4j.linalg.api.ndarray.INDArray width
int index
org.nd4j.linalg.api.ndarray.INDArray point
int d
java.lang.String functionName
boolean invert
int index
double distance
int D
org.nd4j.linalg.api.ndarray.INDArray data
int N
org.nd4j.linalg.api.ndarray.INDArray buf
int size
int cumSize
Cell boundary
org.nd4j.linalg.api.ndarray.INDArray centerOfMass
SpTree parent
int[] index
int nodeCapacity
int numChildren
boolean isLeaf
java.util.Set<E> indices
SpTree[] children
java.lang.String similarityFunction
org.datavec.api.records.reader.RecordReader recordReader
org.datavec.api.io.WritableConverter converter
int batchSize
int maxNumBatches
int batchNum
int labelIndex
int labelIndexTo
int numPossibleLabels
java.util.Iterator<E> sequenceIter
org.nd4j.linalg.dataset.DataSet last
boolean useCurrent
boolean regression
org.nd4j.linalg.dataset.api.DataSetPreProcessor preProcessor
boolean collectMetaData
int batchSize
RecordReaderMultiDataSetIterator.AlignmentMode alignmentMode
java.util.Map<K,V> recordReaders
java.util.Map<K,V> sequenceRecordReaders
java.util.List<E> inputs
java.util.List<E> outputs
boolean collectMetaData
org.nd4j.linalg.dataset.api.MultiDataSetPreProcessor preProcessor
org.datavec.api.records.reader.SequenceRecordReader recordReader
org.datavec.api.records.reader.SequenceRecordReader labelsReader
int miniBatchSize
boolean regression
int labelIndex
int numPossibleLabels
int cursor
int inputColumns
int totalOutcomes
boolean useStored
org.nd4j.linalg.dataset.DataSet stored
org.nd4j.linalg.dataset.api.DataSetPreProcessor preProcessor
SequenceRecordReaderDataSetIterator.AlignmentMode alignmentMode
boolean singleSequenceReaderMode
boolean collectMetaData
int cursor
int numOutcomes
int inputColumns
org.nd4j.linalg.dataset.DataSet curr
int totalExamples
org.nd4j.linalg.dataset.DataSet data
boolean binarize
boolean train
int[] order
java.util.Random rng
boolean shuffle
org.nd4j.linalg.dataset.api.DataSetPreProcessor preProcessor
int batchSize
java.util.concurrent.LinkedBlockingQueue<E> queue
java.util.List<E> labels
int numFeatures
int numLabels
org.nd4j.linalg.dataset.api.iterator.DataSetIterator baseIterator
java.util.concurrent.BlockingQueue<E> blockingQueue
java.lang.Thread thread
org.deeplearning4j.datasets.iterator.AsyncDataSetIterator.IteratorRunnable runnable
org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator iterator
java.util.concurrent.LinkedBlockingQueue<E> queue
org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator.IteratorRunnable runnable
java.lang.Thread thread
int batch
int numExamples
BaseDataFetcher fetcher
org.nd4j.linalg.dataset.api.DataSetPreProcessor preProcessor
java.util.List<E> preProcessors
org.nd4j.linalg.dataset.api.DataSetPreProcessor preProcessor
int totalExamples
int numFeatures
int numLabels
java.util.List<E> labels
java.util.Iterator<E> iterator
int batchSize
java.util.LinkedList<E> queued
org.nd4j.linalg.dataset.api.DataSetPreProcessor preProcessor
int inputColumns
int totalOutcomes
int cursor
java.util.Iterator<E> iterator
int batchSize
java.util.LinkedList<E> queued
org.nd4j.linalg.dataset.api.MultiDataSetPreProcessor preProcessor
int epochs
int numEpochs
int batch
int lastBatch
org.nd4j.linalg.dataset.api.iterator.DataSetIterator iter
org.nd4j.linalg.dataset.DataSet ds
java.util.List<E> batchedDS
org.nd4j.linalg.dataset.api.DataSetPreProcessor preProcessor
boolean newEpoch
int queueSize
boolean async
java.util.concurrent.atomic.AtomicLong iterationsCounter
long totalIterations
org.nd4j.linalg.dataset.api.iterator.DataSetIterator iter
org.nd4j.linalg.dataset.api.DataSetPreProcessor preProcessor
org.nd4j.linalg.dataset.DataSet sampleFrom
int batchSize
int totalNumberSamples
int numTimesSampled
org.nd4j.linalg.dataset.api.DataSetPreProcessor preProcessor
int totalExamples
int numExamples
int exampleCount
boolean overshot
org.datavec.image.transform.ImageTransform imageTransform
int curr
int batch
java.util.List<E> list
org.nd4j.linalg.dataset.api.DataSetPreProcessor preProcessor
org.nd4j.linalg.dataset.DataSet data
int windowRows
int windowColumns
int cursor
org.nd4j.linalg.dataset.api.iterator.DataSetIterator iter
org.nd4j.linalg.dataset.api.MultiDataSetPreProcessor preProcessor
org.nd4j.linalg.dataset.api.MultiDataSet multiDataSet
boolean hasNext
boolean preprocessed
org.nd4j.linalg.dataset.api.MultiDataSetPreProcessor preProcessor
org.nd4j.linalg.dataset.api.iterator.DataSetIterator wrapped
int numDataSets
org.nd4j.linalg.dataset.api.DataSetPreProcessor preProcessor
EarlyStoppingModelSaver<T extends Model> modelSaver
java.util.List<E> epochTerminationConditions
java.util.List<E> iterationTerminationConditions
boolean saveLastModel
int evaluateEveryNEpochs
ScoreCalculator<T extends Model> scoreCalculator
EarlyStoppingResult.TerminationReason terminationReason
java.lang.String terminationDetails
java.util.Map<K,V> scoreVsEpoch
int bestModelEpoch
double bestModelScore
int totalEpochs
Model bestModel
java.lang.String directory
java.nio.charset.Charset encoding
java.lang.String directory
java.nio.charset.Charset encoding
org.nd4j.linalg.dataset.api.iterator.DataSetIterator dataSetIterator
boolean average
org.nd4j.linalg.dataset.api.iterator.DataSetIterator dataSetIterator
org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator multiDataSetIterator
boolean average
double bestExpectedScore
boolean lesserBetter
int maxEpochs
double maxScore
long maxTimeAmount
java.util.concurrent.TimeUnit maxTimeUnit
long initializationTime
long endTime
int maxEpochsWithNoImprovement
int bestEpoch
double bestScore
double minImprovement
java.util.Map<K,V> matrix
java.util.List<E> classes
int topN
int topNCorrectCount
int topNTotalCount
Counter<E> truePositives
Counter<E> falsePositives
Counter<E> trueNegatives
Counter<E> falseNegatives
ConfusionMatrix<T extends java.lang.Comparable<? super T>> confusion
int numRowCounter
java.util.List<E> labelsList
java.util.Map<K,V> confusionMatrixMetaData
int[] countTruePositive
int[] countFalsePositive
int[] countTrueNegative
int[] countFalseNegative
ROCBinary rocBinary
java.util.List<E> labels
java.util.List<E> columnNames
int precision
long exampleCount
org.nd4j.linalg.api.ndarray.INDArray labelsSumPerColumn
org.nd4j.linalg.api.ndarray.INDArray sumSquaredErrorsPerColumn
org.nd4j.linalg.api.ndarray.INDArray sumAbsErrorsPerColumn
org.nd4j.linalg.api.ndarray.INDArray currentMean
org.nd4j.linalg.api.ndarray.INDArray currentPredictionMean
org.nd4j.linalg.api.ndarray.INDArray sumOfProducts
org.nd4j.linalg.api.ndarray.INDArray sumSquaredLabels
org.nd4j.linalg.api.ndarray.INDArray sumSquaredPredicted
int thresholdSteps
long countActualPositive
long countActualNegative
java.util.Map<K,V> counts
double threshold
long countTruePositive
long countFalsePositive
int thresholdSteps
long[] countActualPositive
long[] countActualNegative
java.util.Map<K,V> countsForThresholdMap
java.util.List<E> labels
double threshold
long[] countTruePositive
long[] countFalsePositive
int thresholdSteps
long[] countActualPositive
long[] countActualNegative
java.util.Map<K,V> counts
org.slf4j.Logger log
int vectorSize
int windowSize
double learningRate
boolean initCalled
long seed
java.util.concurrent.ExecutorService executorService
int nThreads
IGraph<V,E> graph
GraphVectorLookupTable lookupTable
LabeledSentenceProvider sentenceProvider
WordVectors wordVectors
TokenizerFactory tokenizerFactory
CnnSentenceDataSetIterator.UnknownWordHandling unknownWordHandling
boolean useNormalizedWordVectors
int minibatchSize
int maxSentenceLength
boolean sentencesAlongHeight
org.nd4j.linalg.dataset.api.DataSetPreProcessor dataSetPreProcessor
int wordVectorSize
int numClasses
java.util.Map<K,V> labelClassMap
org.nd4j.linalg.api.ndarray.INDArray unknown
int cursor
NDArrayHDF5Reader ndArrayHDF5Reader
java.io.File trainFeaturesDirectory
java.io.File trainLabelsDirectory
int batchesCount
int currentIdx
org.nd4j.linalg.dataset.api.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
boolean useHS
VocabCache<T extends SequenceElement> vocab
java.util.Map<K,V> codes
org.nd4j.linalg.learning.AdaGrad adaGrad
java.lang.Long tableId
int minWordFrequency
double learningRate
double minLearningRate
int layersSize
boolean useAdaGrad
int batchSize
int iterations
int epochs
int window
long seed
double negative
boolean useHierarchicSoftmax
double sampling
int learningRateDecayWords
int[] variableWindows
boolean hugeModelExpected
boolean useUnknown
int scavengerActivationThreshold
int scavengerRetentionDelay
java.lang.String elementsLearningAlgorithm
java.lang.String sequenceLearningAlgorithm
java.lang.String modelUtils
java.lang.String tokenizerFactory
java.lang.String tokenPreProcessor
int nGram
java.lang.String UNK
java.lang.String STOP
java.util.Collection<E> stopList
int vocabSize
boolean trainElementsVectors
boolean trainSequenceVectors
boolean allowParallelTokenization
boolean preciseWeightInit
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
int[] variableWindows
java.lang.String UNK
java.util.Collection<E> stopWords
boolean symmetric
int windowSize
VocabCache<T extends SequenceElement> vocabCache
SequenceIterator<T extends SequenceElement> sequenceIterator
int workers
java.io.File targetFile
java.util.concurrent.locks.ReentrantReadWriteLock lock
long memory_threshold
org.deeplearning4j.models.glove.AbstractCoOccurrences.ShadowCopyThread shadowThread
CountMap<T extends SequenceElement> coOccurrenceCounts
java.util.concurrent.atomic.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
org.nd4j.linalg.api.ndarray.INDArray labelsMatrix
java.util.List<E> labelsList
boolean normalizedLabels
VectorsConfiguration configuration
boolean enableScavenger
java.util.List<E> elements
java.util.Map<K,V> elementsMap
java.util.List<E> labels
SequenceElement label
int hash
boolean hashCached
int sequenceId
com.google.common.util.concurrent.AtomicDouble elementFrequency
int index
java.util.List<E> codes
java.util.List<E> points
short codeLength
boolean special
boolean isLabel
java.util.concurrent.atomic.AtomicLong sequencesCount
boolean init
java.lang.Long storageId
java.util.List<E> cacheWrtDevice
org.nd4j.linalg.compression.AbstractStorage<T> storage
long cachePerDevice
VocabCache<T extends SequenceElement> vocabCache
java.lang.String unk
InputStreamCreator is
java.util.concurrent.atomic.AtomicInteger count
java.lang.String word
java.lang.Long vocabId
java.lang.Long affinityId
java.util.concurrent.atomic.AtomicInteger count
java.lang.String work
boolean stem
java.util.List<E> label
Word2Vec vec
java.util.List<E> labels
int batch
java.util.List<E> cache
int totalExamples
java.lang.String path
Word2Vec vec
LabelAwareSentenceIterator iter
java.util.List<E> cachedWindow
java.util.List<E> labels
int batch
org.nd4j.linalg.dataset.api.DataSetPreProcessor preProcessor
java.util.Map<K,V> vocabulary
int minWordFrequency
boolean hugeModelExpected
int retentionDelay
VocabCache<T extends SequenceElement> vocabCache
int scavengerThreshold
long totalWordOccurencies
java.util.concurrent.atomic.AtomicInteger totalWordCount
org.slf4j.Logger logger
java.lang.String word
int count
double[] syn0
double[] syn1
double[] syn1Neg
double[] historicalGradient
boolean special
java.util.Map<K,V> vocabulary
java.util.Map<K,V> extendedVocabulary
java.util.Map<K,V> idxMap
java.util.concurrent.atomic.AtomicLong documentsCounter
int minWordFrequency
boolean hugeModelExpected
java.util.List<E> stopWords
int scavengerThreshold
int retentionDelay
java.util.concurrent.atomic.AtomicLong totalWordCount
org.slf4j.Logger logger
Index wordIndex
Counter<E> wordFrequencies
Counter<E> docFrequencies
java.util.Map<K,V> vocabs
java.util.Map<K,V> tokens
java.util.concurrent.atomic.AtomicLong totalWordOccurrences
int numDocs
java.util.Map<K,V> vertices
java.util.Map<K,V> vertexInputs
java.util.List<E> networkInputs
java.util.List<E> networkOutputs
boolean pretrain
boolean backprop
BackpropType backpropType
int tbpttFwdLength
int tbpttBackLength
NeuralNetConfiguration defaultConfiguration
int iterationCount
int firstVal
int secondVal
java.util.List<E> confs
java.util.Map<K,V> inputPreProcessors
boolean pretrain
boolean backprop
BackpropType backpropType
int tbpttFwdLength
int tbpttBackLength
int iterationCount
Layer layer
double leakyreluAlpha
boolean miniBatch
int numIterations
int maxNumLineSearchIterations
long seed
OptimizationAlgorithm optimizationAlgo
java.util.List<E> variables
StepFunction stepFunction
boolean useRegularization
boolean useDropConnect
boolean minimize
java.util.Map<K,V> learningRateByParam
java.util.Map<K,V> l1ByParam
java.util.Map<K,V> l2ByParam
LearningRatePolicy learningRatePolicy
double lrPolicyDecayRate
double lrPolicySteps
double lrPolicyPower
boolean pretrain
int iterationCount
int numberOfTrials
double probabilityOfSuccess
double mean
double std
double upper
double lower
ElementWiseVertex.Op op
int[] dimension
double eps
double eps
NeuralNetConfiguration layerConf
InputPreProcessor preProcessor
boolean outputVertex
InputPreProcessor preProcessor
double scaleFactor
int from
int to
int from
int stackSize
java.lang.String inputName
java.lang.String maskArrayInputName
int height
int width
int depth
int height
int width
int depth
int size
int size
double corruptionLevel
double sparsity
org.nd4j.linalg.lossfunctions.ILossFunction lossFn
org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction lossFunction
double visibleBiasInit
int preTrainIterations
double decay
double eps
boolean isMinibatch
double gamma
double beta
boolean lockGammaBeta
double alpha
double lambda
boolean gradientCheck
ConvolutionMode convolutionMode
int[] kernelSize
int[] stride
int[] padding
ConvolutionLayer.AlgoMode cudnnAlgoMode
int nIn
int nOut
PoolingType poolingType
int[] poolingDimensions
int pnorm
boolean collapseDimensions
double forgetGateBiasInit
org.nd4j.linalg.activations.IActivation gateActivationFn
double forgetGateBiasInit
org.nd4j.linalg.activations.IActivation gateActivationFn
java.lang.String layerName
org.nd4j.linalg.activations.IActivation activationFn
WeightInit weightInit
double biasInit
Distribution dist
double learningRate
double biasLearningRate
java.util.Map<K,V> learningRateSchedule
double momentum
java.util.Map<K,V> momentumSchedule
double l1
double l2
double l1Bias
double l2Bias
double dropOut
Updater updater
double rho
double epsilon
double rmsDecay
double adamMeanDecay
double adamVarDecay
GradientNormalization gradientNormalization
double gradientNormalizationThreshold
double n
double k
double beta
double alpha
org.nd4j.linalg.lossfunctions.ILossFunction lossFn
RBM.HiddenUnit hiddenUnit
RBM.VisibleUnit visibleUnit
int k
double sparsity
ConvolutionMode convolutionMode
PoolingType poolingType
int[] kernelSize
int[] stride
int[] padding
int pnorm
double eps
int[] padding
org.nd4j.linalg.activations.IActivation activationFn
int[] distributionSizes
ReconstructionDistribution[] reconstructionDistributions
int totalSize
org.nd4j.linalg.activations.IActivation activationFn
org.nd4j.linalg.activations.IActivation activationFn
org.nd4j.linalg.activations.IActivation activationFn
org.nd4j.linalg.lossfunctions.ILossFunction lossFunction
int[] encoderLayerSizes
int[] decoderLayerSizes
ReconstructionDistribution outputDistribution
org.nd4j.linalg.activations.IActivation pzxActivationFn
int numSamples
int firstVal
int secondVal
int inputHeight
int inputWidth
int numChannels
int inputHeight
int inputWidth
int numChannels
int product
InputPreProcessor[] inputPreProcessors
int inputHeight
int inputWidth
int numChannels
int[] shape
int inputHeight
int inputWidth
int numChannels
int product
org.nd4j.linalg.api.ndarray.INDArray columnStds
java.util.Map<K,V> gradients
java.util.Map<K,V> flatteningOrders
org.nd4j.linalg.api.ndarray.INDArray flattenedGradient
ComputationGraphConfiguration configuration
boolean initCalled
org.nd4j.linalg.api.ndarray.INDArray flattenedParams
Gradient gradient
double score
boolean initDone
GraphVertex[] vertices
java.util.Map<K,V> verticesMap
int[] topologicalOrder
Layer[] layers
int numInputArrays
int numOutputArrays
NeuralNetConfiguration defaultConfiguration
java.util.Collection<E> listeners
java.util.Collection<E> trainingListeners
ComputationGraph graph
java.lang.String vertexName
int vertexIndex
VertexIndices[] inputVertices
VertexIndices[] outputVertices
org.nd4j.linalg.api.ndarray.INDArray[] inputs
org.nd4j.linalg.api.ndarray.INDArray epsilon
int vertexIndex
int vertexEdgeNumber
ElementWiseVertex.Op op
int nInForwardPass
int[] dimension
double eps
double eps
Layer layer
InputPreProcessor layerPreProcessor
boolean outputVertex
int[][] forwardPassShapes
int fwdPassRank
InputPreProcessor preProcessor
double scaleFactor
int from
int to
int[] forwardShape
int from
int stackSize
int[] forwardShape
int step
java.lang.String inputName
int inputVertexIndex
java.lang.String inputName
int inputIdx
int[] fwdPassShape
int[] fwdPassTimeSteps
org.nd4j.linalg.api.ndarray.INDArray input
org.nd4j.linalg.api.ndarray.INDArray paramsFlattened
org.nd4j.linalg.api.ndarray.INDArray gradientsFlattened
java.util.Map<K,V> params
NeuralNetConfiguration conf
org.nd4j.linalg.api.ndarray.INDArray dropoutMask
boolean dropoutApplied
double score
ConvexOptimizer optimizer
Gradient gradient
java.util.Collection<E> iterationListeners
int index
org.nd4j.linalg.api.ndarray.INDArray maskArray
MaskState maskState
Solver solver
org.nd4j.linalg.api.ndarray.INDArray labels
double fullNetworkL1
double fullNetworkL2
org.nd4j.linalg.api.ndarray.INDArray inputMaskArray
MaskState inputMaskArrayState
java.util.Collection<E> trainingListeners
org.nd4j.linalg.api.ndarray.INDArray labels
double fullNetworkL1
double fullNetworkL2
ConvolutionHelper helper
ConvolutionMode convolutionMode
int[] padding
SubsamplingHelper helper
ConvolutionMode convolutionMode
double someCustomParameter
org.nd4j.linalg.api.ndarray.INDArray vector
org.nd4j.linalg.api.ndarray.INDArray prediction
java.util.List<E> children
double error
Tree parent
java.lang.String headWord
java.lang.String value
java.lang.String label
java.lang.String type
int goldLabel
java.util.List<E> tokens
java.util.List<E> tags
java.lang.String parse
int begin
int end
long seed
org.nd4j.linalg.api.ndarray.INDArray sigma
org.nd4j.linalg.api.ndarray.INDArray hiddenSigma
BatchNormalizationHelper helper
int index
java.util.List<E> listeners
org.nd4j.linalg.api.ndarray.INDArray std
org.nd4j.linalg.api.ndarray.INDArray xMu
org.nd4j.linalg.api.ndarray.INDArray xHat
LocalResponseNormalizationHelper helper
double k
double n
double alpha
double beta
int halfN
org.nd4j.linalg.api.ndarray.INDArray activations
org.nd4j.linalg.api.ndarray.INDArray unitScale
org.nd4j.linalg.api.ndarray.INDArray scale
int[] poolingDimensions
boolean collapseDimensions
PoolingType poolingType
int pNorm
java.util.Map<K,V> stateMap
java.util.Map<K,V> tBpttStateMap
double fullNetworkL1
double fullNetworkL2
org.nd4j.linalg.api.ndarray.INDArray input
org.nd4j.linalg.api.ndarray.INDArray paramsFlattened
org.nd4j.linalg.api.ndarray.INDArray gradientsFlattened
java.util.Map<K,V> params
NeuralNetConfiguration conf
double score
ConvexOptimizer optimizer
Gradient gradient
java.util.Collection<E> iterationListeners
java.util.Collection<E> trainingListeners
int index
org.nd4j.linalg.api.ndarray.INDArray maskArray
Solver solver
int[] encoderLayerSizes
int[] decoderLayerSizes
ReconstructionDistribution reconstructionDistribution
org.nd4j.linalg.activations.IActivation pzxActivationFn
int numSamples
boolean zeroedPretrainParamGradients
Layer[] layers
java.util.LinkedHashMap<K,V> layerMap
org.nd4j.linalg.api.ndarray.INDArray input
org.nd4j.linalg.api.ndarray.INDArray labels
boolean initCalled
java.util.Collection<E> listeners
java.util.Collection<E> trainingListeners
NeuralNetConfiguration defaultConfiguration
MultiLayerConfiguration layerWiseConfigurations
Gradient gradient
org.nd4j.linalg.api.ndarray.INDArray epsilon
double score
boolean initDone
org.nd4j.linalg.api.ndarray.INDArray flattenedParams
org.nd4j.linalg.api.ndarray.INDArray mask
int layerIndex
java.util.Map<K,V> updaterForVariable
org.nd4j.linalg.api.ndarray.INDArray viewArray
Updater[] layerUpdaters
org.nd4j.linalg.api.ndarray.INDArray viewArray
Updater[] layerUpdaters
java.util.Map<K,V> layerUpdatersMap
org.nd4j.linalg.api.ndarray.INDArray viewArray
int frequency
int iterationCount
java.util.List<E> scoreVsIter
java.util.Collection<E> listeners
boolean invoked
boolean invoked
int iterations
long totalIterationCount
boolean printMean
boolean printHeader
boolean printMinMax
boolean printMeanAbsValue
java.io.File file
java.nio.file.Path filePath
boolean outputToConsole
boolean outputToFile
boolean outputToLogger
java.lang.String delimiter
int writeFailureCount
int frequency
java.lang.ThreadLocal<T> samplesPerSec
java.lang.ThreadLocal<T> batchesPerSec
java.lang.ThreadLocal<T> lastTime
java.lang.ThreadLocal<T> iterationCount
boolean reportScore
boolean reportSample
boolean reportBatch
boolean reportIteration
boolean reportTime
int printIterations
boolean invoked
long iterCount
Model layer
StepFunction stepFunction
ConvexOptimizer optimizer
int maxIterations
double stepMax
boolean minObjectiveFunction
double relTolx
double absTolx
double ALF
NeuralNetConfiguration conf
StepFunction stepFunction
java.util.Collection<E> iterationListeners
java.util.Collection<E> terminationConditions
Model model
BackTrackLineSearch lineMaximizer
Updater updater
ComputationGraphUpdater computationGraphUpdater
double step
int batchSize
double score
double oldScore
double stepMax
java.util.Map<K,V> searchState
int m
double eps
double tolerance
double gradientTolerance
org.nd4j.linalg.api.ndarray.INDArray lastWeights
java.lang.String param
int count
java.util.concurrent.ConcurrentHashMap<K,V> backingMap
boolean isGraphNetwork
int dataSetObjectSizeExamples
int batchSizePerWorker
int maxBatchesPerWorker
int prefetchNumBatches
boolean collectTrainingStats
SparkTrainingStats trainingWorkerSpecificStats
java.util.List<E> workerFlatMapTotalTimeMs
java.util.List<E> workerFlatMapGetInitialModelTimeMs
java.util.List<E> workerFlatMapDataSetGetTimesMs
java.util.List<E> workerFlatMapProcessMiniBatchTimesMs
MultiLayerConfiguration configuration
ComputationGraphConfiguration graphConfiguration
org.nd4j.linalg.api.ndarray.INDArray parameters
org.nd4j.linalg.api.ndarray.INDArray updaterState
java.util.concurrent.atomic.AtomicInteger counter
int minibatchSize
java.lang.String exportBaseDirectory
java.lang.String jvmuid
int minibatchSize
java.lang.String exportBaseDirectory
java.lang.String jvmuid
java.net.URI outputDir
java.lang.String uid
int outputCount
java.net.URI outputDir
java.lang.String uid
int outputCount
org.apache.hadoop.fs.FileSystem fileSystem
org.apache.hadoop.fs.FileSystem fileSystem
int numPartitions
int labelIndex
int numPossibleLabels
int byteFileLen
int batchSize
int numExamples
boolean regression
org.nd4j.linalg.dataset.api.DataSetPreProcessor preProcessor
int labelIndex
int labelIndexTo
int numPossibleLabels
boolean regression
org.nd4j.linalg.dataset.api.DataSetPreProcessor preProcessor
org.datavec.api.io.WritableConverter converter
int batchSize
boolean regression
int labelIndex
int numPossibleLabels
org.nd4j.linalg.dataset.api.DataSetPreProcessor preProcessor
org.datavec.api.io.WritableConverter converter
boolean regression
int numPossibleLabels
DataVecSequencePairDataSetFunction.AlignmentMode alignmentMode
org.nd4j.linalg.dataset.api.DataSetPreProcessor preProcessor
org.datavec.api.io.WritableConverter converter
int miniBatches
org.apache.spark.api.java.JavaRDD<T> toSplitJava
org.datavec.api.records.reader.RecordReader recordReader
int labelIndex
int numPossibleLabels
org.datavec.api.io.WritableConverter converter
java.net.URI outputDir
org.datavec.api.records.reader.RecordReader recordReader
int batchSize
boolean regression
int labelIndex
int numPossibleLabels
java.lang.String uid
int outputCount
org.apache.spark.api.java.JavaRDD<T> data
boolean average
org.apache.spark.SparkContext sc
org.apache.spark.api.java.JavaRDD<T> data
boolean average
org.apache.spark.SparkContext sc
int splitIndex
int numSplits
long baseRngSeed
int splitIndex
int numSplits
long baseRngSeed
int[] partitionElementStartIdxs
int numPartitions
int elementsPerPartition
int remainder
java.util.Random r
boolean useLogProbability
int numSamples
org.apache.spark.broadcast.Broadcast<T> params
org.apache.spark.broadcast.Broadcast<T> jsonConfig
int batchSize
double someCustomParameter
Model network
NeuralNetConfiguration conf
Layer layer
org.apache.spark.broadcast.Broadcast<T> params
boolean averageEachIteration
StatsStorageRouter router
org.apache.spark.broadcast.Broadcast<T> broadcast
boolean saveUpdater
java.util.Collection<E> trainingHooks
WorkerConfiguration configuration
ParameterAveragingTrainingWorkerStats.ParameterAveragingTrainingWorkerStatsHelper stats
java.util.Collection<E> iterationListeners
StatsStorageRouterProvider listenerRouterProvider
org.nd4j.linalg.api.ndarray.INDArray parametersSum
org.nd4j.linalg.api.ndarray.INDArray updaterStateSum
double scoreSum
int aggregationsCount
SparkTrainingStats sparkTrainingStats
java.util.Collection<E> listenerMetaData
java.util.Collection<E> listenerStaticInfo
java.util.Collection<E> listenerUpdates
SparkTrainingStats workerStats
java.util.List<E> parameterAveragingMasterExportTimesMs
java.util.List<E> parameterAveragingMasterCountRddSizeTimesMs
java.util.List<E> parameterAveragingMasterBroadcastCreateTimesMs
java.util.List<E> parameterAveragingMasterFitTimesMs
java.util.List<E> parameterAveragingMasterSplitTimesMs
java.util.List<E> parameterAveragingMasterMapPartitionsTimesMs
java.util.List<E> paramaterAveragingMasterAggregateTimesMs
java.util.List<E> parameterAveragingMasterProcessParamsUpdaterTimesMs
java.util.List<E> parameterAveragingMasterRepartitionTimesMs
java.util.List<E> parameterAveragingWorkerBroadcastGetValueTimeMs
java.util.List<E> parameterAveragingWorkerInitTimeMs
java.util.List<E> parameterAveragingWorkerFitTimesMs
java.util.Collection<E> dataSetStreams
org.nd4j.linalg.dataset.api.DataSetPreProcessor preprocessor
java.util.Iterator<E> iter
int totalOutcomes
int inputColumns
int batch
org.nd4j.linalg.dataset.DataSet preloadedDataSet
int cursor
org.apache.hadoop.fs.FileSystem fileSystem
java.util.Collection<E> dataSetStreams
org.nd4j.linalg.dataset.api.MultiDataSetPreProcessor preprocessor
java.util.Iterator<E> iter
org.apache.hadoop.fs.FileSystem fileSystem
java.util.Collection<E> dataSetStreams
org.nd4j.linalg.dataset.api.MultiDataSetPreProcessor preprocessor
java.util.Iterator<E> iter
org.apache.spark.broadcast.Broadcast<T> vocabCacheBroadcast
java.lang.String tokenizerFactoryClazz
boolean symmetric
int windowSize
int iterations
VocabWord w1
VocabWord w2
org.nd4j.linalg.api.ndarray.INDArray w1Update
org.nd4j.linalg.api.ndarray.INDArray w2Update
double w1BiasUpdate
double w2BiasUpdate
double error
org.nd4j.linalg.api.ndarray.INDArray w1History
org.nd4j.linalg.api.ndarray.INDArray w2History
double w1BiasHistory
double w2BiasHistory
int vectorLength
boolean useAdaGrad
double lr
org.nd4j.linalg.api.rng.Random gen
double negative
double xMax
double maxCount
org.apache.spark.broadcast.Broadcast<T> coOccurrenceCounts
GloveWeightLookupTable<T extends SequenceElement> table
org.apache.spark.broadcast.Broadcast<T> vocab
boolean symmetric
org.apache.spark.broadcast.Broadcast<T> vocab
int windowSize
int ithIteration
int vectorLength
boolean useAdaGrad
int batchSize
double negative
int window
double alpha
double minAlpha
long totalWordCount
long seed
int maxExp
double[] expTable
int iterations
java.util.Map<K,V> indexSyn0VecMap
java.util.Map<K,V> pointSyn1VecMap
java.util.concurrent.atomic.AtomicLong nextRandom
VocabCache<T extends SequenceElement> vocab
NegativeHolder negativeHolder
java.util.concurrent.atomic.AtomicLong cid
java.util.concurrent.atomic.AtomicLong aff
org.nd4j.linalg.api.ndarray.INDArray syn1Neg
org.nd4j.linalg.api.ndarray.INDArray table
java.util.concurrent.atomic.AtomicLong nextRandom
java.util.Map<K,V> indexSyn0VecMap
java.util.Map<K,V> pointSyn1VecMap
java.util.HashSet<E> workers
java.util.concurrent.atomic.AtomicLong seed
java.util.concurrent.atomic.AtomicInteger vectorLength
org.nd4j.linalg.api.ndarray.INDArray trainedSyn1
int MAX_EXP
double[] expTable
VectorsConfiguration configuration
int nGrams
java.lang.String tokenizer
java.lang.String tokenPreprocessor
boolean removeStop
long seed
boolean useUnknown
java.util.Map<K,V> changes
org.apache.spark.broadcast.Broadcast<T> param
java.lang.Long wordsSeen
java.util.List<E> sentence
boolean useAdaGrad
double negative
int numWords
org.nd4j.linalg.api.ndarray.INDArray table
int window
java.util.concurrent.atomic.AtomicLong nextRandom
double alpha
double minAlpha
int totalWords
int lastChecked
org.apache.spark.broadcast.Broadcast<T> wordCount
InMemoryLookupTable<T extends SequenceElement> weights
int vectorLength
org.apache.spark.broadcast.Broadcast<T> expTable
java.util.concurrent.atomic.AtomicLong wordsSeen
java.util.concurrent.atomic.AtomicLong lastWords
boolean useAdaGrad
double negative
int numWords
org.nd4j.linalg.api.ndarray.INDArray table
int window
java.util.concurrent.atomic.AtomicLong nextRandom
double alpha
double minAlpha
int totalWords
int lastChecked
org.apache.spark.broadcast.Broadcast<T> wordCount
InMemoryLookupTable<T extends SequenceElement> weights
double[] expTable
int vectorLength
boolean useAdaGrad
double negative
int numWords
org.nd4j.linalg.api.ndarray.INDArray table
int window
java.util.concurrent.atomic.AtomicLong nextRandom
double alpha
double minAlpha
int totalWords
int iterations
int lastChecked
org.apache.spark.broadcast.Broadcast<T> wordCount
InMemoryLookupTable<T extends SequenceElement> weights
double[] expTable
int vectorLength
org.apache.spark.broadcast.Broadcast<T> param
org.apache.spark.Accumulator<T> elementsFreqAccum
org.apache.spark.Accumulator<T> elementsFreqAccumExtra
org.apache.spark.storage.StorageLevel storageLevel
org.apache.spark.broadcast.Broadcast<T> vocabCacheBroadcast
org.apache.spark.broadcast.Broadcast<T> shallowVocabCacheBroadcast
org.apache.spark.broadcast.Broadcast<T> configurationBroadcast
boolean isAutoDiscoveryMode
SparkModelExporter<T extends SequenceElement> exporter
SparkElementsLearningAlgorithm ela
SparkSequenceLearningAlgorithm sla
org.nd4j.parameterserver.distributed.conf.VoidConfiguration paramServerConfiguration
SequenceElement element
org.nd4j.linalg.api.ndarray.INDArray array
org.apache.spark.broadcast.Broadcast<T> configurationBroadcast
org.apache.spark.Accumulator<T> accumulator
boolean fetchLabels
org.apache.spark.broadcast.Broadcast<T> voidConfigurationBroadcast
org.apache.spark.broadcast.Broadcast<T> vectorsConfigurationBroadcast
org.apache.spark.broadcast.Broadcast<T> configurationBroadcast
org.apache.spark.broadcast.Broadcast<T> vectorsConfigurationBroadcast
org.apache.spark.broadcast.Broadcast<T> shallowVocabBroadcast
org.apache.spark.Accumulator<T> accumulator
boolean fetchLabels
org.apache.spark.broadcast.Broadcast<T> vocabCacheBroadcast
org.apache.spark.broadcast.Broadcast<T> configurationBroadcast
org.apache.spark.broadcast.Broadcast<T> paramServerConfigurationBroadcast
org.apache.spark.broadcast.Broadcast<T> vocabCacheBroadcast
org.apache.spark.broadcast.Broadcast<T> configurationBroadcast
org.apache.spark.broadcast.Broadcast<T> paramServerConfigurationBroadcast
java.util.Set<E> networkInformation
long totalMemory
long availableMemory
java.util.List<E> ipAddresses
java.lang.String machineId
java.lang.String jvmId
long threadId
long startTime
long durationMs
int totalExampleCount
int numPartitions
java.util.List<E> lst
int a
org.apache.spark.broadcast.Broadcast<T> broadcastedMaxPerPartitionCounter
org.apache.spark.Accumulator<T> maxPerPartitionAcc
java.lang.String tokenizerFactoryClazz
java.lang.String tokenizerPreprocessorClazz
int nGrams
org.apache.spark.broadcast.Broadcast<T> stopWords
org.apache.spark.Accumulator<T> wordFreqAcc
org.apache.spark.broadcast.Broadcast<T> vocabCacheBroadcast
org.datavec.spark.functions.FlatMapFunctionAdapter<T,R> adapter
org.datavec.spark.functions.FlatMapFunctionAdapter<T,R> adapter
java.lang.String value
java.util.HashMap<K,V> _dict
java.util.Set<E> negationWords
org.apache.uima.analysis_engine.AnalysisEngine analysisEngine
java.util.Iterator<E> iter
org.apache.commons.io.LineIterator lineIterator
java.io.File rootDir
java.util.concurrent.atomic.AtomicLong counter
java.lang.String template
boolean useFormatter
java.util.List<E> labels
long maxCount
java.util.Set<E> uniq
java.util.List<E> words
java.lang.String label
boolean beginLabel
boolean endLabel
int windowSize
int median
int begin
int end
java.lang.String path
int frequency
boolean firstIteration
ModelState modelState
java.util.concurrent.atomic.AtomicLong iterationCount
long lastTime
long currTime
long initTime
StatsStorageRouter ssr
java.lang.String sessionID
java.lang.String workerID
boolean openBrowser
java.lang.String remoteAddr
int remotePort
java.lang.String login
java.lang.String password
int frequency
boolean firstIteration
java.lang.String path
UiConnectionInfo connectionInfo
ModelState modelState
java.util.concurrent.atomic.AtomicLong iterationCount
long lastTime
long currTime
long initTime
javax.ws.rs.client.Client client
javax.ws.rs.client.WebTarget target
javax.ws.rs.client.WebTarget targetState
int x
int y
java.lang.String mainLine
java.lang.String subLine
java.lang.String text
long id
java.lang.String name
java.lang.String layerType
java.lang.String color
int x
int y
Description description
java.util.List<E> connections
java.util.Map<K,V> W
java.util.Map<K,V> RW
java.util.Map<K,V> RWF
java.util.Map<K,V> B
long time
java.util.List<E> layers
float score
java.lang.String trainingTime
java.util.List<E> scores
float performanceBatches
float performanceSamples
long iterationTime
java.util.Map<K,V> parameters
java.util.Map<K,V> gradients
java.util.List<E> learningRates
java.util.Map<K,V> layerParams
java.lang.String sessionID
java.lang.String workerID
long timestamp
ModelInfo modelInfo
java.lang.String sessionID
java.lang.String workerID
long timestamp
ModelState modelState
java.lang.String word
int numWords
java.lang.String path
StatsStorageRouter router
StatsInitializationConfiguration initConfig
StatsUpdateConfiguration updateConfig
java.lang.String sessionID
java.lang.String workerID
java.util.Map<K,V> gcStatsAtLastReport
java.util.Map<K,V> activationsMap
java.util.Map<K,V> gradientsPreUpdateMap
java.util.List<E> modelInfos
java.util.Map<K,V> devPointers
double min
double max
int nBins
int[] binCounts
boolean collectSoftwareInfo
boolean collectHardwareInfo
boolean collectModelInfo
int reportingFrequency
boolean collectPerformanceStats
boolean collectMemoryStats
boolean collectGarbageCollectionStats
boolean collectLearningRates
boolean collectHistogramsParameters
boolean collectHistogramsGradients
boolean collectHistogramsUpdates
boolean collectHistogramsActivations
int numHistogramBins
boolean collectMeanParameters
boolean collectMeanGradients
boolean collectMeanUpdates
boolean collectMeanActivations
boolean collectStdevParameters
boolean collectStdevGradients
boolean collectStdevUpdates
boolean collectStdevActivations
boolean collectMeanMagnitudesParameters
boolean collectMeanMagnitudesGradients
boolean collectMeanMagnitudesUpdates
boolean collectMeanMagnitudesActivations
java.lang.String sessionID
java.lang.String typeID
java.lang.String workerID
long timeStamp
boolean hasSoftwareInfo
boolean hasHardwareInfo
boolean hasModelInfo
java.lang.String swArch
java.lang.String swOsName
java.lang.String swJvmName
java.lang.String swJvmVersion
java.lang.String swJvmSpecVersion
java.lang.String swNd4jBackendClass
java.lang.String swNd4jDataTypeName
java.lang.String swHostName
java.lang.String swJvmUID
java.util.Map<K,V> swEnvironmentInfo
int hwJvmAvailableProcessors
int hwNumDevices
long hwJvmMaxMemory
long hwOffHeapMaxMemory
long[] hwDeviceTotalMemory
java.lang.String[] hwDeviceDescription
java.lang.String hwHardwareUID
java.lang.String modelClassName
java.lang.String modelConfigJson
java.lang.String[] modelParamNames
int modelNumLayers
long modelNumParams
java.lang.String sessionID
java.lang.String typeID
java.lang.String workerID
long timeStamp
int iterationCount
int statsCollectionDurationMs
double score
long jvmCurrentBytes
long jvmMaxBytes
long offHeapCurrentBytes
long offHeapMaxBytes
long[] deviceCurrentBytes
long[] deviceMaxBytes
long totalRuntimeMs
long totalExamples
long totalMinibatches
double examplesPerSecond
double minibatchesPerSecond
java.util.List<E> gcStats
java.util.Map<K,V> learningRatesByParam
java.util.Map<K,V> histograms
java.util.Map<K,V> meanValues
java.util.Map<K,V> stdevValues
java.util.Map<K,V> meanMagnitudeValues
java.lang.String metaDataClassName
java.util.List<E> dataSetMetaData
boolean scorePresent
boolean memoryUsePresent
boolean performanceStatsPresent
java.lang.String sessionID
java.lang.String typeID
java.lang.String workerID
long timeStamp
boolean hasSoftwareInfo
boolean hasHardwareInfo
boolean hasModelInfo
java.lang.String swArch
java.lang.String swOsName
java.lang.String swJvmName
java.lang.String swJvmVersion
java.lang.String swJvmSpecVersion
java.lang.String swNd4jBackendClass
java.lang.String swNd4jDataTypeName
java.lang.String swHostName
java.lang.String swJvmUID
java.util.Map<K,V> swEnvironmentInfo
int hwJvmAvailableProcessors
int hwNumDevices
long hwJvmMaxMemory
long hwOffHeapMaxMemory
long[] hwDeviceTotalMemory
java.lang.String[] hwDeviceDescription
java.lang.String hwHardwareUID
java.lang.String modelClassName
java.lang.String modelConfigJson
java.lang.String[] modelParamNames
int modelNumLayers
long modelNumParams
java.lang.String sessionID
java.lang.String typeID
java.lang.String workerID
long timeStamp
int iterationCount
int statsCollectionDurationMs
double score
long jvmCurrentBytes
long jvmMaxBytes
long offHeapCurrentBytes
long offHeapMaxBytes
long[] deviceCurrentBytes
long[] deviceMaxBytes
long totalRuntimeMs
long totalExamples
long totalMinibatches
double examplesPerSecond
double minibatchesPerSecond
java.util.List<E> gcStats
java.util.Map<K,V> learningRatesByParam
java.util.Map<K,V> histograms
java.util.Map<K,V> meanValues
java.util.Map<K,V> stdevValues
java.util.Map<K,V> meanMagnitudeValues
java.lang.String metaDataClassName
java.util.List<E> dataSetMetaData
boolean scorePresent
boolean memoryUsePresent
boolean performanceStatsPresent
java.lang.String sessionID
java.lang.String typeID
java.lang.String sessionID
java.lang.String typeID
java.lang.String workerID
long timeStamp
java.lang.String sessionID
java.lang.String typeID
java.lang.String workerID
java.lang.String initTypeClass
java.lang.String updateTypeClass
byte[] extraMeta
long timeStamp
java.lang.String sessionID
java.lang.String typeID
java.lang.String workerID
java.lang.String initTypeClass
java.lang.String updateTypeClass
byte[] extraMeta
int freq
int minibatchNum
boolean openBrowser
java.lang.String path
boolean firstIteration
java.awt.Color borderColor
java.awt.Color bgColor
StatsStorageRouter ssr
java.lang.String sessionID
java.lang.String workerID
private void readObject(java.io.ObjectInputStream ois) throws java.io.IOException, java.lang.ClassNotFoundException
java.io.IOException
java.lang.ClassNotFoundException
private void writeObject(java.io.ObjectOutputStream oos) throws java.io.IOException
java.io.IOException
java.lang.String sessionID
java.lang.String workerID
long timestamp
int numberOfBins
int rounds
double max
double min
java.util.Map<K,V> data
boolean openBrowser
boolean firstIteration
java.lang.String path
long lastUpdateTime
java.util.Map<K,V> parameters
java.util.Map<K,V> gradients
double score
java.util.List<E> scores
java.util.List<E> updateMagnitudes
java.util.List<E> paramMagnitudes
java.util.List<E> layerNames
java.lang.String path
int freq
int minibatchNum
java.lang.String path
javax.ws.rs.client.Client client
javax.ws.rs.client.WebTarget target
boolean firstIteration
UiConnectionInfo uiConnectionInfo
java.awt.Color borderColor
java.awt.Color bgColor
javax.ws.rs.client.Client client
javax.ws.rs.client.WebTarget target
int iterations
int curIteration
java.util.ArrayList<E> scoreHistory
java.util.List<E> meanMagHistoryParams
java.util.List<E> meanMagHistoryUpdates
java.util.Map<K,V> layerNameIndexes
java.util.List<E> layerNames
int layerNameIndexesCount
boolean firstIteration
java.lang.String path
java.lang.String subPath
UiConnectionInfo connectionInfo
long lastUpdateTime
java.util.Map<K,V> parameters
java.util.Map<K,V> gradients
double score
java.util.List<E> scores
java.util.List<E> updateMagnitudes
java.util.List<E> paramMagnitudes
java.util.List<E> layerNames
java.lang.String path
java.io.File dir
java.util.Queue<E> paths
java.util.concurrent.ScheduledExecutorService executorService
java.util.concurrent.atomic.AtomicBoolean running
java.util.Queue<E> save
java.util.Map<K,V> objects
java.util.Map<K,V> indexes
java.util.Map<K,V> backedMap
java.lang.String sep
int numColumns
double metaStability
double pCorrect
org.nd4j.linalg.api.ndarray.INDArray possibleLabels
int states
double logPCorrect
double logPIncorrect
double logMetaInstability
double logOfDiangnalTProb
double logStates