/* * 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; }