Package ai.libs.jaicore.ml.evaluation.evaluators.weka

Interface Summary

Interface	Description
IClassifierEvaluator

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 reworked
ExtrapolatedSaturationPointEvaluator<I extends ILabeledAttributeArrayInstance<?>,D extends IOrderedLabeledAttributeArrayDataset<I,?>>	For the classifier a learning curve will be extrapolated with a given set of anchorpoints.
FixedSplitClassifierEvaluator
LearningCurveExtrapolationEvaluator<I extends ILabeledAttributeArrayInstance<?>,D extends IOrderedLabeledAttributeArrayDataset<I,?>>	Evaluates a classifier by predicting its learning curve with a few anchorpoints.
MonteCarloCrossValidationEvaluator	A classifier evaluator that can perform a (monte-carlo)cross-validation on the given dataset.
ProbabilisticMonteCarloCrossValidationEvaluator	A classifier evaluator that can perform a (monte-carlo)cross-validation on the given dataset.
SingleRandomSplitClassifierEvaluator
TimeoutableEvaluator