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IterativeClassifier.java
Package: Weka-3-2.rar [view]
Upload User: rhdiban
Upload Date: 2013-08-09
Package Size: 15085k
Code Size: 2k
Category:
Windows Develop
Development Platform:
Java
- /*
- * 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;
- }