/*
* RapidMiner
*
* Copyright (C) 2001-2008 by Rapid-I and the contributors
*
* Complete list of developers available at our web site:
*
* http://rapid-i.com
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU Affero 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 Affero General Public License for more details.
*
* You should have received a copy of the GNU Affero General Public License
* along with this program. If not, see http://www.gnu.org/licenses/.
*/
package com.rapidminer.operator.learner.meta;
import java.io.Serializable;
import com.rapidminer.operator.Model;
/**
* Stores a base model together with its contingency matrix, which offerers a
* more convenient access in the context of ensemble classification.
*
* @author Martin Scholz
* @version $Id: BayBoostBaseModelInfo.java,v 1.3 2006/04/14 15:04:22
* ingomierswa Exp $
*/
public class BayBoostBaseModelInfo implements Serializable {
private static final long serialVersionUID = 2818741267629650262L;
// all fields are final, in particular ContingencyMatrix returns clones of
// the original matrix
private final Model model;
private final ContingencyMatrix matrix;
public BayBoostBaseModelInfo(Model model, ContingencyMatrix matrix) {
this.model = model;
this.matrix = matrix;
}
public Model getModel() {
return this.model;
}
public ContingencyMatrix getContingencyMatrix() {
return this.matrix;
}
public double getLiftRatio(int trueLabel, int predictedLabel) {
return matrix.getLiftRatio(trueLabel, predictedLabel);
}
}