/*
 *  RapidMiner
 *
 *  Copyright (C) 2001-2011 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.lazy;

import com.rapidminer.example.Attribute;
import com.rapidminer.example.Example;
import com.rapidminer.example.ExampleSet;
import com.rapidminer.operator.OperatorException;
import com.rapidminer.operator.UserError;
import com.rapidminer.operator.learner.PredictionModel;

/**
 * This variant of the DefaultModel sets the prediction according 
 * to another attribute given during learn time.
 * @author Sebastian Land
 *
 */
public class AttributeDefaultModel extends PredictionModel {

	private static final long serialVersionUID = 3987661566241516287L;

	private String sourceAttributeName;

	protected AttributeDefaultModel(ExampleSet trainingExampleSet, String sourceAttribute) {
		super(trainingExampleSet);
		this.sourceAttributeName = sourceAttribute;
	}



	@Override
	public ExampleSet performPrediction(ExampleSet exampleSet, Attribute predictedLabel) throws OperatorException {
		Attribute label = getLabel();
		Attribute sourceAttribute = exampleSet.getAttributes().get(sourceAttributeName);
		if (sourceAttribute != null) {
			if (label.isNominal() && !sourceAttribute.isNominal()) {
				throw new UserError(null, 120, sourceAttributeName, "numerical", "nominal");
			}
			if (!label.isNominal() && sourceAttribute.isNominal()) {
				throw new UserError(null, 120, sourceAttributeName, "nominal", "numerical");
			}
			for (Example example: exampleSet) {
				String classValue = example.getValueAsString(sourceAttribute);
				example.setValue(predictedLabel, classValue);
				if (label.isNominal()) {
					example.setConfidence(classValue, 1);
				}
			}
		} else {
			throw new UserError(null, 111, sourceAttributeName);
		}
		return exampleSet;
	}

}