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

Class SimpleMLCSplitBasedClassifierEvaluator

java.lang.Object

ai.libs.jaicore.ml.evaluation.evaluators.weka.splitevaluation.AbstractSplitBasedClassifierEvaluator<double[],java.lang.Double>

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

All Implemented Interfaces:

ISplitBasedClassifierEvaluator<java.lang.Double>

public class SimpleMLCSplitBasedClassifierEvaluator
extends AbstractSplitBasedClassifierEvaluator<double[],java.lang.Double>

Constructor Summary

Constructors

Constructor	Description
SimpleMLCSplitBasedClassifierEvaluator(IMeasure<double[],java.lang.Double> basicEvaluator)

Method Summary

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

Methods inherited from class ai.libs.jaicore.ml.evaluation.evaluators.weka.splitevaluation.AbstractSplitBasedClassifierEvaluator

getBasicEvaluator, setBasicEvaluator

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

SimpleMLCSplitBasedClassifierEvaluator

public SimpleMLCSplitBasedClassifierEvaluator(IMeasure<double[],java.lang.Double> basicEvaluator)

Method Detail

evaluateSplit

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

Description copied from interface: ISplitBasedClassifierEvaluator

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

Parameters:

pl - 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:

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

java.lang.InterruptedException