double alpha
double alpha
double l
double u
int errorCode
long length
Collection<E> references
String dataType
StackTraceElement[] stackTraceElements
long timestamp
String status
char ordering
int[][] indexes
int[] shape
boolean[] exists
int numIndexes
private void readObject(ObjectInputStream s)
private void writeObject(ObjectOutputStream out) throws IOException
IOException
int[] javaShapeInformation
private void readObject(ObjectInputStream s) throws IOException, ClassNotFoundException
IOException
ClassNotFoundException
private void writeObject(ObjectOutputStream out) throws IOException
IOException
private Object readResolve() throws ObjectStreamException
ObjectStreamException
int[] arrayShape
long length
char arrayOrdering
Op op
int nDim
int aOffset
int bOffset
int cOffset
int dOffset
int[] aStrides
int[] bStrides
int[] cStrides
int[] dStrides
int[] shape
DataBuffer a
DataBuffer b
DataBuffer c
DataBuffer d
int nDim
long aOffset
int[] aStrides
int[] shape
DataBuffer a
int nDim
int aOffset
int bOffset
int cOffset
int[] aStrides
int[] bStrides
int[] cStrides
int[] shape
DataBuffer a
DataBuffer b
DataBuffer c
int nDim
int aOffset
int bOffset
int[] aStrides
int[] bStrides
int[] shape
DataBuffer a
DataBuffer b
CompressionDescriptor compressionDescriptor
CompressionType compressionType
String compressionAlgorithm
long originalLength
long compressedLength
long numberOfElements
long originalElementSize
int currIdx
File rootDir
int totalBatches
DataSetPreProcessor dataSetPreProcessor
String pattern
int batchSize
List<E> paths
int currIdx
File rootDir
int totalExamples
int totalLabels
int totalBatches
DataSetPreProcessor dataSetPreProcessor
int batchSize
int cursor
DataSet data
DataSetPreProcessor preProcessor
int batch
int numExamples
DataSetFetcher fetcher
DataSetPreProcessor preProcessor
DataSetIterator sourceIterator
DataSetCache cache
String namespace
int currentIndex
boolean usingCache
boolean allowPrefetching
DataSet singleFold
int k
int batch
int lastBatch
int kCursor
DataSet test
DataSet train
DataSetPreProcessor preProcessor
int numPasses
int batch
DataSetIterator iter
int passes
DataSetPreProcessor preProcessor
DataSet sampleFrom
int batchSize
int totalNumberSamples
int numTimesSampled
boolean replace
DataSetPreProcessor preProcessor
int curr
int batch
List<E> list
DataSetPreProcessor preProcessor
int curr
int batch
List<E> list
MultiDataSetPreProcessor preProcessor
int cursor
int numOutcomes
int inputColumns
DataSet curr
int totalExamples
NormalizerStrategy<S extends NormalizerStats> strategy
NormalizerStats featureStats
NormalizerStats labelStats
boolean fitLabels
NormalizerStrategy<S extends NormalizerStats> strategy
List<E> featureStats
List<E> labelStats
boolean fitLabels
double minRange
double maxRange
double maxPixelVal
int maxBits
double minRange
double maxRange
Map<K,V> inputStats
Map<K,V> outputStats
NormalizerStrategy<S extends NormalizerStats> globalInputStrategy
NormalizerStrategy<S extends NormalizerStats> globalOutputStrategy
Map<K,V> perInputStrategies
Map<K,V> perOutputStrategies
double targetMinorityDist
int minorityLabel
INDArray arr
long[] offsets
long[] shapes
long[] strides
long offset
double rho
double epsilon
double learningRate
double epsilon
double learningRate
double beta1
double beta2
double epsilon
double learningRate
double beta1
double beta2
double epsilon
double learningRate
double beta1
double beta2
double epsilon
double learningRate
double rmsDecay
double epsilon
double learningRate
INDArray historicalGradient
int[] shape
double learningRate
int numIterations
double epsilon
char gradientReshapeOrder
INDArray weights
double beta
INDArray weights
INDArray weights
INDArray weights
INDArray weights
double softmaxClipEps
int mMixtures
int mLabelWidth
INDArray weights
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