/*
* 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.
*/
/*
* ActiveLearner.java
* Copyright (C) 2003 Prem Melville
*
*/
package weka.classifiers;
import weka.core.*;
/**
* Interface to permit a classifier to perform selective sampling. A
* classifier that implements this interface can actively select
* training examples from a given set of unlabeled examples.
*
* @author Prem Melville (melville@cs.utexas.edu)
* @version
*/
public interface ActiveLearner {
/**
* Given a set of unlabeled examples, select a specified number of examples to be labeled.
* @param unlabeledActivePool pool of unlabeled examples
* @param num number of examples to selcted for labeling
* @exception Exception if selective sampling fails
*/
int [] selectInstances(Instances unlabeledActivePool,int num) throws Exception;
}