Class MonteCarloCrossValidationEvaluatorFactory

  • All Implemented Interfaces:
    ISupervisedLearnerEvaluatorFactory<org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance,​org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<? extends org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance>>, org.api4.java.ai.ml.core.evaluation.IPredictionPerformanceMetricConfigurable, org.api4.java.ai.ml.core.IDataConfigurable<org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<? extends org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance>>, org.api4.java.common.control.IRandomConfigurable

    public class MonteCarloCrossValidationEvaluatorFactory
    extends AMonteCarloCrossValidationBasedEvaluatorFactory<MonteCarloCrossValidationEvaluatorFactory>
    Factory for configuring standard Monte Carlo cross-validation evaluators. The basic performance measure is always averaged over the different runs.