/* * 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/>. */ /* * IterativeClassifier.java * Copyright (C) 2001-2012 University of Waikato, Hamilton, New Zealand * */ package weka.classifiers; import weka.core.Instances; /** * 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: 8034 $ */ public interface IterativeClassifier { /** * Inits an iterative classifier. * * @param instances the instances to be used in induction * @exception Exception if the model cannot be initialized */ 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 */ void next(int iteration) throws Exception; /** * Signal end of iterating, useful for any house-keeping/cleanup * * @exception Exception if cleanup fails */ 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 */ Object clone() throws CloneNotSupportedException; }