Class  Description 

ArrayPairToPair<K> 
Simple conversion function for SparkComputationGraph

CGVaeReconstructionErrorWithKeyFunction<K> 
Function to calculate the reconstruction error for a variational autoencoder, that is the first layer in a
ComputationGraph.
Note that the VAE must be using a loss function, not a ReconstructionDistribution Also note that scoring is batched for computational efficiency. 
CGVaeReconstructionProbWithKeyFunction<K> 
Function to calculate the reconstruction probability for a variational autoencoder, that is the first layer in a
ComputationGraph.
Note that scoring is batched for computational efficiency. 
GraphFeedForwardWithKeyFunction<K> 
Function to feedforward examples, and get the network output (for example, class probabilities).

PairToArrayPair<K> 
Simple conversion function for SparkComputationGraph

ScoreExamplesFunction 
Function to score examples individually.

ScoreExamplesWithKeyFunction<K> 
Function to score examples individually, where each example is associated with a particular key
Note that scoring is batched for computational efficiency. This is the Spark implementation of the ComputationGraph.scoreExamples(MultiDataSet, boolean) methodNote: The MultiDataSet objects passed in must have exactly one example in them (otherwise: can't have a 1:1 association between keys and data sets to score) 
ScoreFlatMapFunctionCGDataSet 
Function used to score a DataSet using a ComputationGraph

ScoreFlatMapFunctionCGMultiDataSet 
Function used to score a MultiDataSet using a given ComputationGraph
