/*
* 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.util.List;
import com.rapidminer.operator.Operator;
import com.rapidminer.operator.OperatorDescription;
import com.rapidminer.parameter.ParameterType;
import com.rapidminer.parameter.ParameterTypeBoolean;
/**
* This class uses n+1 inner learners and generates n different models
* by using the last n learners. The predictions of these n models are
* taken to create n new features for the example set, which is finally
* used to serve as an input of the first inner learner.
*
* @author Ingo Mierswa, Helge Homburg
* @version $Id: Stacking.java,v 1.4 2008/05/09 19:22:46 ingomierswa Exp $
*/
public class Stacking extends AbstractStacking {
public static final String PARAMETER_KEEP_ALL_ATTRIBUTES = "keep_all_attributes";
public Stacking(OperatorDescription description) {
super(description);
}
public String getModelName() {
return "Stacking Model";
}
public int getFirstBaseModelLearnerIndex() {
return 1;
}
public int getLastBaseModelLearnerIndex() {
return getNumberOfOperators() - 1;
}
public Operator getStackingLearner() {
return getOperator(0);
}
public boolean keepOldAttributes() {
return getParameterAsBoolean(PARAMETER_KEEP_ALL_ATTRIBUTES);
}
public int getMinNumberOfInnerOperators() {
return 2;
}
public List<ParameterType> getParameterTypes() {
List<ParameterType> types = super.getParameterTypes();
types.add(new ParameterTypeBoolean(PARAMETER_KEEP_ALL_ATTRIBUTES,
"Indicates if all attributes (including the original ones) in order to learn the stacked model.", true));
return types;
}
}