Class  Description 

FeedForwardWithKeyFunction<K> 
Function to feedforward examples, and get the network output (for example, class probabilities).

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 t he MultiLayerNetwork.scoreExamples(DataSet, boolean) methodNote: The DataSet 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) 
ScoreFlatMapFunction  
SingleToPairFunction<T>  
VaeReconstructionErrorWithKeyFunction<K> 
Function to calculate the reconstruction error for a variational autoencoder, that is the first layer in a
MultiLayerNetwork.
Note that the VAE must be using a loss function, not a ReconstructionDistribution Also note that scoring is batched for computational efficiency. 
VaeReconstructionProbWithKeyFunction<K> 
Function to calculate the reconstruction probability for a variational autoencoder, that is the first layer in a
MultiLayerNetwork.
Note that scoring is batched for computational efficiency. 