/*
* 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.visualization.dependencies;
import Jama.Matrix;
import com.rapidminer.example.Attribute;
import com.rapidminer.example.ExampleSet;
import com.rapidminer.operator.IOObject;
import com.rapidminer.operator.Operator;
import com.rapidminer.operator.OperatorDescription;
import com.rapidminer.operator.OperatorException;
import com.rapidminer.tools.math.matrix.CovarianceMatrix;
/** This operator calculates the covariances between all attributes
* of the input example set and returns a covariance matrix object
* which can be visualized.
*
* @author Ingo Mierswa
* @version $Id: CovarianceMatrixOperator.java,v 1.1 2008/08/25 08:10:33 ingomierswa Exp $
*/
public class CovarianceMatrixOperator extends Operator {
public CovarianceMatrixOperator(OperatorDescription description) {
super(description);
}
@Override
public IOObject[] apply() throws OperatorException {
ExampleSet exampleSet = getInput(ExampleSet.class);
String[] columnNames = new String[exampleSet.getAttributes().size()];
int counter = 0;
for (Attribute attribute : exampleSet.getAttributes()) {
columnNames[counter++] = attribute.getName();
}
Matrix covarianceMatrix = CovarianceMatrix.getCovarianceMatrix(exampleSet);
return new IOObject[] { exampleSet, new SymmetricalMatrix("Covariance Matrix", columnNames, covarianceMatrix) };
}
@Override
public Class<?>[] getInputClasses() {
return new Class[] { ExampleSet.class };
}
@Override
public Class<?>[] getOutputClasses() {
return new Class[] { ExampleSet.class, SymmetricalMatrix.class };
}
}