Java tutorial
/* * 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 <http://www.gnu.org/licenses/>. */ /* * 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 (eibe@cs.waikato.ac.nz) * @version $Revision$ */ 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"); } }