/*
* File: SupervisedLearnerValidationExperiment.java
* Authors: Justin Basilico
* Company: Sandia National Laboratories
* Project: Cognitive Foundry
*
* Copyright December 18, 2007, Sandia Corporation.
* Under the terms of Contract DE-AC04-94AL85000, there is a non-exclusive
* license for use of this work by or on behalf of the U.S. Government. Export
* of this program may require a license from the United States Government.
* See CopyrightHistory.txt for complete details.
*
*
*/
package gov.sandia.cognition.learning.experiment;
import gov.sandia.cognition.evaluator.Evaluator;
import gov.sandia.cognition.learning.data.InputOutputPair;
import gov.sandia.cognition.learning.performance.PerformanceEvaluator;
import gov.sandia.cognition.util.Summarizer;
import java.util.Collection;
/**
* The {@code SupervisedLearnerValidationExperiment} class extends the
* {@code LearnerValidationExperiment} class to provide a easy way to create
* a learner validation experiment for supervised learning.
*
* @param <InputType> The type of the input data for supervised learning.
* @param <OutputType> The type of the output data for supervised learning.
* @param <StatisticType> The type of the statistic generated by the
* performance evaluator on the learned object for each fold. It is
* created by passing the learned object plus the test data for the
* fold into the performance evaluator.
* @param <SummaryType> The type produced by the summarizer at the end of
* the experiment from a collection of the given statistics (one for
* each fold). This represents the performance result for the learning
* algorithm for the whole experiment.
* @author Justin Basilico
* @since 2.0
*/
public class SupervisedLearnerValidationExperiment<InputType, OutputType, StatisticType, SummaryType>
extends LearnerValidationExperiment<InputOutputPair<InputType, OutputType>, InputOutputPair<InputType, OutputType>, Evaluator<? super InputType, OutputType>, StatisticType, SummaryType>
{
/**
* Creates a new instance of {@code SupervisedLearnerValidationExperiment}.
*/
public SupervisedLearnerValidationExperiment()
{
this(null, null, null);
}
/**
* Creates a new instance of {@code SupervisedLearnerValidationExperiment}.
*
* @param foldCreator The object to use for creating the folds.
* @param performanceEvaluator The evaluator to use to compute the
* performance of the learned object on each fold.
* @param summarizer The summarizer for summarizing the result of the
* performance evaluator from all the folds.
*/
public SupervisedLearnerValidationExperiment(
final ValidationFoldCreator<InputOutputPair<InputType, OutputType>, InputOutputPair<InputType, OutputType>> foldCreator,
final PerformanceEvaluator<? super Evaluator<? super InputType, ? extends OutputType>, ? super Collection<? extends InputOutputPair<InputType, OutputType>>, ? extends StatisticType> performanceEvaluator,
final Summarizer<? super StatisticType, ? extends SummaryType> summarizer)
{
super(foldCreator, performanceEvaluator, summarizer);
}
}