/*
* 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.preprocessing.filter;
import java.util.List;
import com.rapidminer.example.ExampleSet;
import com.rapidminer.operator.Model;
import com.rapidminer.operator.OperatorDescription;
import com.rapidminer.operator.OperatorException;
import com.rapidminer.operator.preprocessing.PreprocessingModel;
import com.rapidminer.operator.preprocessing.PreprocessingOperator;
import com.rapidminer.parameter.ParameterType;
import com.rapidminer.parameter.ParameterTypeBoolean;
/**
* This operator maps the values of all nominal values to binary attributes. For example,
* if a nominal attribute with name "costs" and possible nominal values
* "low", "moderate", and "high" is transformed, the result
* is a set of three binominal attributes "costs = low", "costs = moderate",
* and "costs = high". Only one of the values of each attribute is true for a specific
* example, the other values are false.
*
* @author Sebastian Land, Ingo Mierswa
* @version $Id: NominalToBinominal.java,v 1.7 2008/05/09 19:22:58 ingomierswa Exp $
*/
public class NominalToBinominal extends PreprocessingOperator {
public static final String PARAMETER_USE_UNDERSCORE_IN_NAME = "use_underscore_in_name";
public static final String PARAMETER_TRANSFORM_BINOIMINAL = "transform_binominal";
public NominalToBinominal(OperatorDescription description) {
super(description);
}
public Model createPreprocessingModel(ExampleSet exampleSet) throws OperatorException {
PreprocessingModel model = new NominalToBinominalModel(exampleSet, getParameterAsBoolean(PARAMETER_TRANSFORM_BINOIMINAL), getParameterAsBoolean(PARAMETER_USE_UNDERSCORE_IN_NAME));
return model;
}
public List<ParameterType> getParameterTypes() {
List<ParameterType> types = super.getParameterTypes();
types.add(new ParameterTypeBoolean(PARAMETER_TRANSFORM_BINOIMINAL, "Indicates if attributes which are already binominal should be transformed.", true));
types.add(new ParameterTypeBoolean(PARAMETER_USE_UNDERSCORE_IN_NAME, "Indicates if underscores should be used in the new attribute names instead of empty spaces and '='. Although the resulting names are harder to read for humans it might be more appropriate to use these if the data should be written into a database system.", false));
return types;
}
}