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The Waikato Environment for Knowledge Analysis (WEKA), a machine
learning workbench. This is the stable version. Apart from bugfixes, this version
does not receive any other updates.
/*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see .
*/
/*
* ModelSelection.java
* Copyright (C) 1999-2012 University of Waikato, Hamilton, New Zealand
*
*/
package weka.classifiers.trees.j48;
import java.io.Serializable;
import weka.core.Instances;
import weka.core.RevisionHandler;
/**
* Abstract class for model selection criteria.
*
* @author Eibe Frank ([email protected])
* @version $Revision: 8034 $
*/
public abstract class ModelSelection
implements Serializable, RevisionHandler {
/** for serialization */
private static final long serialVersionUID = -4850147125096133642L;
/**
* Selects a model for the given dataset.
*
* @exception Exception if model can't be selected
*/
public abstract ClassifierSplitModel selectModel(Instances data) throws Exception;
/**
* Selects a model for the given train data using the given test data
*
* @exception Exception if model can't be selected
*/
public ClassifierSplitModel selectModel(Instances train, Instances test)
throws Exception {
throw new Exception("Model selection method not implemented");
}
}