ClusteringStrategy clusteringStrategy
IterationHistory iterationHistory
int currentIteration
ClusterSet clusterSet
List<E> initialPoints
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
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
Set<E> indices
SpTree[] children
String similarityFunction
org.canova.api.records.reader.RecordReader recordReader
org.canova.api.io.WritableConverter converter
int batchSize
int labelIndex
int numPossibleLabels
boolean overshot
Iterator<E> sequenceIter
org.nd4j.linalg.dataset.DataSet last
boolean useCurrent
boolean regression
org.nd4j.linalg.dataset.api.DataSetPreProcessor preProcessor
org.canova.api.records.reader.SequenceRecordReader recordReader
org.canova.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
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
Random rng
boolean shuffle
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
int curr
int batch
List<E> list
DataSetPreProcessor preProcessor
org.nd4j.linalg.dataset.DataSet data
int windowRows
int windowColumns
int cursor
DataSetIterator wrapped
int numDataSets
DataSetPreProcessor preProcessor
File image
ImageLoader loader
boolean binarize
boolean normalize
int label
int numLabels
EarlyStoppingModelSaver modelSaver
List<E> epochTerminationConditions
List<E> iterationTerminationConditions
boolean saveLastModel
int evaluateEveryNEpochs
ScoreCalculator scoreCalculator
EarlyStoppingResult.TerminationReason terminationReason
String terminationDetails
Map<K,V> scoreVsEpoch
int bestModelEpoch
double bestModelScore
int totalEpochs
MultiLayerNetwork bestModel
DataSetIterator dataSetIterator
boolean average
int maxEpochs
double maxScore
long maxTimeAmount
TimeUnit maxTimeUnit
long initializationTime
long endTime
int maxEpochsWithNoImprovement
int bestEpoch
double bestScore
Counter<E> truePositives
Counter<E> falsePositives
Counter<E> trueNegatives
Counter<E> falseNegatives
ConfusionMatrix<T extends Comparable<? super T>> confusion
int numRowCounter
List<E> labelsList
Map<K,V> labelsMap
List<E> confs
boolean pretrain
double dampingFactor
Map<K,V> inputPreProcessors
boolean backprop
BackpropType backpropType
int tbpttFwdLength
int tbpttBackLength
boolean redistributeParams
Layer layer
boolean miniBatch
int numIterations
int maxNumLineSearchIterations
long seed
OptimizationAlgorithm optimizationAlgo
List<E> variables
StepFunction stepFunction
boolean useRegularization
boolean useDropConnect
boolean useSchedules
boolean minimize
int timeSeriesLength
int numberOfTrials
double probabilityOfSuccess
double mean
double std
double mean
double std
double upper
double lower
double corruptionLevel
double sparsity
org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction lossFunction
String customLossFunction
org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction lossFunction
String customLossFunction
int[] shape
double decay
double eps
int size
boolean finetune
boolean useBatchMean
int N
org.nd4j.linalg.convolution.Convolution.Type convolutionType
int[] kernelSize
int[] stride
int[] padding
int nIn
int nOut
double forgetGateBiasInit
String layerName
String activationFunction
WeightInit weightInit
double biasInit
Distribution dist
double learningRate
Map<K,V> learningRateAfter
double lrScoreBasedDecay
double momentum
Map<K,V> momentumAfter
double l1
double l2
double dropOut
Updater updater
double rho
double rmsDecay
double adamMeanDecay
double adamVarDecay
GradientNormalization gradientNormalization
double gradientNormalizationThreshold
double n
double k
double beta
double alpha
RBM.HiddenUnit hiddenUnit
RBM.VisibleUnit visibleUnit
int k
double sparsity
SubsamplingLayer.PoolingType poolingType
int[] kernelSize
int[] stride
int[] padding
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[] fromShape
int[] toShape
boolean dynamic
int inputHeight
int inputWidth
int numChannels
int product
org.nd4j.linalg.api.ndarray.INDArray columnStds
long seed
org.nd4j.linalg.api.ndarray.INDArray input
Map<K,V> params
NeuralNetConfiguration conf
org.nd4j.linalg.api.ndarray.INDArray dropoutMask
boolean dropoutApplied
ParamInitializer paramInitializer
double score
ConvexOptimizer optimizer
Gradient gradient
Collection<E> iterationListeners
int index
org.nd4j.linalg.api.ndarray.INDArray maskArray
org.nd4j.linalg.api.ndarray.INDArray labels
double fullNetworkL1
double fullNetworkL2
org.nd4j.linalg.api.ndarray.INDArray col
org.nd4j.linalg.api.ndarray.INDArray maxIndexes
org.nd4j.linalg.api.ndarray.INDArray currInput
org.nd4j.linalg.api.ndarray.INDArray allInput
org.nd4j.linalg.api.ndarray.INDArray visibleLoss
org.nd4j.linalg.api.ndarray.INDArray hiddenLoss
org.nd4j.linalg.api.ndarray.INDArray vbLoss
org.nd4j.linalg.api.ndarray.INDArray bLoss
org.nd4j.linalg.api.ndarray.INDArray y
org.nd4j.linalg.api.ndarray.INDArray z
double currScore
org.nd4j.linalg.api.ndarray.INDArray vector
org.nd4j.linalg.api.ndarray.INDArray prediction
List<E> children
double error
Tree parent
String headWord
String value
String label
String type
int goldLabel
List<E> tokens
List<E> tags
String parse
int begin
int end
org.nd4j.linalg.api.ndarray.INDArray sigma
org.nd4j.linalg.api.ndarray.INDArray hiddenSigma
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
Map<K,V> stateMap
Map<K,V> tBpttStateMap
org.nd4j.linalg.api.ndarray.INDArray iFogZ
org.nd4j.linalg.api.ndarray.INDArray iFogA
org.nd4j.linalg.api.ndarray.INDArray memCellActivations
org.nd4j.linalg.api.ndarray.INDArray hIn
org.nd4j.linalg.api.ndarray.INDArray hOut
org.nd4j.linalg.api.ndarray.INDArray outputActivations
org.nd4j.linalg.api.ndarray.INDArray u
org.nd4j.linalg.api.ndarray.INDArray u2
org.nd4j.linalg.api.ndarray.INDArray xi
org.nd4j.linalg.api.ndarray.INDArray xs
Layer[] layers
LinkedHashMap<K,V> layerMap
org.nd4j.linalg.api.ndarray.INDArray input
org.nd4j.linalg.api.ndarray.INDArray labels
boolean initCalled
Collection<E> listeners
NeuralNetConfiguration defaultConfiguration
MultiLayerConfiguration layerWiseConfigurations
Gradient gradient
double score
org.nd4j.linalg.api.ndarray.INDArray params
org.nd4j.linalg.api.ndarray.INDArray mask
int layerIndex
Updater[] layerUpdaters
UpdaterAggregator[] aggregators
org.deeplearning4j.nn.updater.NoOpUpdater.NoOpGradientUpdater updater
Collection<E> listeners
boolean invoked
boolean invoked
int iterations
long totalIterationCount
boolean printMean
boolean printHeader
boolean printMinMax
boolean printMeanAbsValue
File file
java.nio.file.Path filePath
boolean outputToConsole
boolean outputToFile
boolean outputToLogger
String delimiter
int writeFailureCount
int printIterations
boolean invoked
Model layer
StepFunction stepFunction
ConvexOptimizer optimizer
int maxIterations
double stepMax
boolean minObjectiveFunction
double relTolx
double absTolx
double ALF
NeuralNetConfiguration conf
int iteration
StepFunction stepFunction
Collection<E> iterationListeners
Collection<E> terminationConditions
Model model
BackTrackLineSearch lineMaximizer
Updater updater
double step
int batchSize
double score
double oldScore
double stepMax
Map<K,V> searchState
int m
boolean converged
double initialStepSize
double tolerance
double gradientTolerance
MultiLayerNetwork network
int maxIterations
org.nd4j.linalg.api.ndarray.INDArray ch
org.nd4j.linalg.api.ndarray.INDArray gradient
org.nd4j.linalg.api.ndarray.INDArray xi
double pi
double decrease
double boost
double score
double eps
double tolerance
double gradientTolerance
int N
double theta
org.nd4j.linalg.api.ndarray.INDArray rows
org.nd4j.linalg.api.ndarray.INDArray cols
org.nd4j.linalg.api.ndarray.INDArray vals
String simiarlityFunction
boolean invert
org.nd4j.linalg.api.ndarray.INDArray x
int numDimensions
SpTree tree
BufferedImage image
int maxIter
double realMin
double initialMomentum
double finalMomentum
double minGain
double momentum
int switchMomentumIteration
boolean normalize
boolean usePca
int stopLyingIteration
double tolerance
double learningRate
org.nd4j.linalg.learning.AdaGrad adaGrad
boolean useAdaGrad
double perplexity
org.nd4j.linalg.api.ndarray.INDArray gains
org.nd4j.linalg.api.ndarray.INDArray yIncs
org.nd4j.linalg.api.ndarray.INDArray y
int iteration
File outputFile
List<E> variables
int iteration
PlotFilters filters
File outputFile
File dir
Queue<E> paths
ScheduledExecutorService executorService
AtomicBoolean running
Queue<E> save
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
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