Package ai.libs.jaicore.ml.core.evaluation.evaluator
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Class Summary Class Description ConfigurationLearningCurveExtrapolationEvaluator Predicts the accuracy of a classifier with certain configurations on a point of its learning curve, given some anchorpoint and its configurations using the LCNet of pybnn Note: This code was copied from LearningCurveExtrapolationEvaluator and slightly reworkedExtrapolatedSaturationPointEvaluator For the classifier a learning curve will be extrapolated with a given set of anchorpoints.FixedSplitClassifierEvaluator LearnerRunReport LearningCurveExtrapolationEvaluator Evaluates a classifier by predicting its learning curve with a few anchorpoints.MonteCarloCrossValidationEvaluator PredictionDiff<E,A> PreTrainedPredictionBasedClassifierEvaluator This evaluator can be used to compute the performance of a pre-trained classifier on a given validation datasetSingleRandomSplitClassifierEvaluator SupervisedLearnerExecutor TrainPredictionBasedClassifierEvaluator TypelessPredictionDiff This is a helper class with which one can create a prediction diff object without caring about the types of ground truths and predictions.