Package org.deeplearning4j.earlystopping.scorecalc

Interface Summary

Interface	Description
ScoreCalculator<T extends Model>	ScoreCalculator interface is used to calculate a score for a neural network.

Class Summary

Class	Description
AutoencoderScoreCalculator	Score function for a MultiLayerNetwork or ComputationGraph with a single AutoEncoder layer.
ClassificationScoreCalculator	Score function for evaluating a MultiLayerNetwork according to an evaluation metric (Evaluation.Metric such as accuracy, F1 score, etc.
DataSetLossCalculator	Given a DataSetIterator: calculate the total loss for the model on that data set.
DataSetLossCalculatorCG	Deprecated Use DataSetLossCalculator instead for both MultiLayerNetwork and ComputationGraph
RegressionScoreCalculator	Calculate the regression score of the network (MultiLayerNetwork or ComputationGraph) on a test set, using the specified regression metric - RegressionEvaluation.Metric
ROCScoreCalculator	Calculate ROC AUC (area under ROC curve) or AUCPR (area under precision recall curve) for a MultiLayerNetwork or ComputationGraph
VAEReconErrorScoreCalculator	Score function for variational autoencoder reconstruction error for a MultiLayerNetwork or ComputationGraph. VariationalAutoencoder layer must be first layer in the network
VAEReconProbScoreCalculator	Score calculator for variational autoencoder reconstruction probability or reconstruction log probability for a MultiLayerNetwork or ComputationGraph.

Enum Summary

Enum	Description
ROCScoreCalculator.Metric
ROCScoreCalculator.ROCType