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

Interface ISplitBasedClassifierEvaluator<O>

Type Parameters:

O - The type of the measured value.

All Known Implementing Classes:

AbstractSplitBasedClassifierEvaluator, SimpleMLCSplitBasedClassifierEvaluator, SimpleSLCSplitBasedClassifierEvaluator

public interface ISplitBasedClassifierEvaluator<O>

Interface for the evaluator measure bridge yielding the measured value as an instance of O.

Method Summary

Modifier and Type	Method and Description
O	evaluateSplit(weka.classifiers.Classifier h, weka.core.Instances trainingData, weka.core.Instances validationData) Evaluate a hypothesis h being trained on a set of trainingData for some validationData.

Method Detail

evaluateSplit

O evaluateSplit(weka.classifiers.Classifier h,
                weka.core.Instances trainingData,
                weka.core.Instances validationData)
         throws ai.libs.jaicore.basic.algorithm.exceptions.ObjectEvaluationFailedException,
                java.lang.InterruptedException

Evaluate a hypothesis h being trained on a set of trainingData for some validationData.

Parameters:

h - The classifier to test for some training and validation data.

trainingData - The training data to train the classifier on.

validationData - The test data to validate the classifier on.

Returns:

Returns the result of the measured value.

Throws:

java.lang.Exception - Throws an Exception if there are issues training or validating the classifier.

ai.libs.jaicore.basic.algorithm.exceptions.ObjectEvaluationFailedException

java.lang.InterruptedException