SPARK_VERSION
spark
SReLU
layers
ScalarToTensor
common
Scale
layers
ScaleDetection
objectdetection
Select
layers
SeparableConv2D
layers
SeparableConvolution2D
layers
SeqToTensor
common
Sequential
models
SessionConfig
TFNet
ShareConv2D
layers
ShareConvolution2D
layers
SimpleRNN
layers
SoftShrink
layers
SparseCategoricalCrossEntropy
objectives
SpatialDropout1D
layers
SpatialDropout2D
layers
SpatialDropout3D
layers
Sqrt
layers
Square
layers
Squeeze
layers
sample
UserItemFeature
saveGraphTopology
Model
saveImpl
NNModelWriter
saveMetadata
DefaultParamsWriterWrapper
saveModel
ZooModel
saveNNModel
PythonNNFrames
saveZooModel
PythonZooModel
scale
Power
sequenceLength
TextClassificationParams TextClassifier
setBatchSize
NNEstimator NNModel
setCachingSample
NNEstimator
setCheckpoint
KerasNet
setConstantGradientClipping
KerasNet NNEstimator
setData
JTensor
setEndWhen
NNEstimator
setFeaturesCol
NNEstimator NNModel
setGradientClippingByL2Norm
KerasNet NNEstimator
setInitMethod
Net
setInputShape
KerasLayerRef
setLabelCol
NNEstimator
setLearningRate
NNEstimator
setLearningRateDecay
NNEstimator
setMaxEpoch
NNEstimator
setNNModelPreprocessing
PythonNNFrames
setOptimMethod
NNEstimator PythonNNFrames
setOutShape
KerasLayerRef
setPredictionCol
NNEstimator NNModel
setSamplePreprocessing
NNEstimator NNModel PythonNNFrames
setShape
JTensor
setTensorBoard
KerasNet
setTrainSummary
NNEstimator PythonNNFrames
setValidation
NNEstimator PythonNNFrames
setValidationSummary
NNEstimator PythonNNFrames
sharedAxes
SReLU
shift
Power
sigma
GaussianNoise
size
CAdd CMul Scale UpSampling2D UpSampling3D WithinChannelLRN2D
sizeAverage
SparseCategoricalCrossEntropy
skipDuplicateCheck
Input
slice
Variable PythonAutoGrad
softplus
AutoGrad PythonAutoGrad
softsign
AutoGrad PythonAutoGrad
spark
apache
splitter
ImageConfigure
sqrt
AutoGrad PythonAutoGrad
square
AutoGrad PythonAutoGrad
squeeze
Variable PythonAutoGrad
squeezenetPreprocessor
ImagenetConfig
stack
AutoGrad PythonAutoGrad
strShape
KerasUtils
stride
AveragePooling1D MaxPooling1D
strides
AveragePooling2D AveragePooling3D MaxPooling2D MaxPooling3D AveragePooling1D Conv1D MaxPooling1D
sub
PythonAutoGrad
subsample
AtrousConvolution2D ConvLSTM2D Convolution2D Convolution3D Deconvolution2D LocallyConnected2D SeparableConvolution2D ShareConvolution2D
subsampleLength
AtrousConvolution1D Convolution1D LocallyConnected1D
sum
AutoGrad PythonAutoGrad
summary
ZooModel KerasNet Model Sequential