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

Class ConfigurationLearningCurveExtrapolationEvaluator

java.lang.Object

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

All Implemented Interfaces:

ai.libs.jaicore.basic.IObjectEvaluator<weka.classifiers.Classifier,java.lang.Double>, IClassifierEvaluator

public class ConfigurationLearningCurveExtrapolationEvaluator
extends java.lang.Object
implements IClassifierEvaluator

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

Constructor Summary

Constructors

Constructor

Description

ConfigurationLearningCurveExtrapolationEvaluator(int[] anchorpoints, ISamplingAlgorithmFactory<WekaInstance<java.lang.Object>,WekaInstances<java.lang.Object>,ASamplingAlgorithm<WekaInstance<java.lang.Object>,WekaInstances<java.lang.Object>>> samplingAlgorithmFactory, WekaInstances<java.lang.Object> dataset, double trainSplitForAnchorpointsMeasurement, long seed, java.lang.String identifier, double[] configurations)

Method Summary

Modifier and Type	Method	Description
java.lang.Double	evaluate(weka.classifiers.Classifier classifier)
void	setFullDatasetSize(int fullDatasetSize)

Methods inherited from class java.lang.Object

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

Constructor Detail

ConfigurationLearningCurveExtrapolationEvaluator

public ConfigurationLearningCurveExtrapolationEvaluator(int[] anchorpoints,
                                                        ISamplingAlgorithmFactory<WekaInstance<java.lang.Object>,WekaInstances<java.lang.Object>,ASamplingAlgorithm<WekaInstance<java.lang.Object>,WekaInstances<java.lang.Object>>> samplingAlgorithmFactory,
                                                        WekaInstances<java.lang.Object> dataset,
                                                        double trainSplitForAnchorpointsMeasurement,
                                                        long seed,
                                                        java.lang.String identifier,
                                                        double[] configurations)

Method Detail

setFullDatasetSize

public void setFullDatasetSize(int fullDatasetSize)

evaluate

public java.lang.Double evaluate(weka.classifiers.Classifier classifier)
                          throws java.lang.InterruptedException,
                                 ai.libs.jaicore.basic.algorithm.exceptions.ObjectEvaluationFailedException

Specified by:

evaluate in interface ai.libs.jaicore.basic.IObjectEvaluator<weka.classifiers.Classifier,java.lang.Double>

Throws:

java.lang.InterruptedException

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