Package org.deeplearning4j.arbiter.scoring.impl

Class Summary

Class	Description
BaseNetScoreFunction	Created by Alex on 23/07/2017.
EvaluationScoreFunction	Score function that calculates an evaluation Evaluation.Metric on the test set for a MultiLayerNetwork or ComputationGraph
RegressionScoreFunction	Score function for regression (including multi-label regression) for a MultiLayerNetwork or ComputationGraph on a test set.
ROCScoreFunction	Score function that calculates AUC (area under ROC curve) or AUPRC (area under precision/recall curve) on a test set for a MultiLayerNetwork or ComputationGraph
TestSetAccuracyScoreFunction	Deprecated Use EvaluationScoreFunction
TestSetF1ScoreFunction	Deprecated Use EvaluationScoreFunction
TestSetLossScoreFunction	Score function that calculates the test set loss on a test set for a MultiLayerNetwork or ComputationGraph
TestSetRegressionScoreFunction	Deprecated Use RegressionScoreFunction

Enum Summary

Enum	Description
ROCScoreFunction.Metric	Metric to calculate. AUC: Area under ROC curve AUPRC: Area under precision/recall curve
ROCScoreFunction.ROCType	Type of ROC evaluation to perform: ROC: use ROC to perform evaluation (single output binary classification) BINARY: use ROCBinary to perform evaluation (multi-output/multi-task binary classification) MULTICLASS: use ROCMultiClass to perform evaluation (1 vs.