📄 iterativeclassifier.java
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/* * 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 2 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, write to the Free Software * Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA. *//* * IterativeClassifier.java * Copyright (C) 2001 Gabi Schmidberger, Bernhard Pfahringer * */package weka.classifiers;import weka.core.*;/** * Interface for classifiers that can induce models of growing * complexity one step at a time. * * @author Gabi Schmidberger (gabi@cs.waikato.ac.nz) * @author Bernhard Pfahringer (bernhard@cs.waikato.ac.nz) * @version $Revision: 1.1 $ */public interface IterativeClassifier { /** * Inits an iterative classifier. * * @param instances the instances to be used in induction * @exception Exception if the model cannot be initialized */ public void initClassifier(Instances instances) throws Exception; /** * Performs one iteration. * * @param iteration the index of the current iteration (0-based) * @exception Exception if this iteration fails */ public void next(int iteration) throws Exception; /** * Signal end of iterating, useful for any house-keeping/cleanup * * @exception Exception if cleanup fails */ public void done() throws Exception; /** * Performs a deep copy of the classifier, and a reference copy * of the training instances (or a deep copy if required). * * @return a clone of the classifier */ public Object clone() throws CloneNotSupportedException;}
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