Package org.deeplearning4j.arbiter.scoring.impl

Score function that calculates an evaluation Evaluation.Metric on the test set for a MultiLayerNetwork or ComputationGraph

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

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. all multi-class classification)