/*
* 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.
*/
/*
* ModelUpdateRule.java
* Copyright (C) 2009-2010 Aristotle University of Thessaloniki, Thessaloniki, Greece
*/
package mulan.classifier.neural;
import java.util.Map;
/**
* Represents an update rule, which can be used by a learner, to process an input
* example in learning phase and perform an update of a model when necessary.
*
* @author Jozef Vilcek
*/
/* REMARK: This might be generalized to the all learners, if distinguish between model and learner will be made in design of the learners */
public interface ModelUpdateRule {
/**
* Process the training example and performs a model update when suitable.
* The decision when to perform model update is carried by the update rule
* (e.g. when the model response is not within an acceptable boundaries from
* the true output for given example).
*
* @param example the input example
* @param params the additional parameters for an update.
* @return the error measure of the model response for given input pattern
* and specified true output.
*/
public double process(DataPair example, Map<String, Object> params);
}