/*
* 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.tools;
import com.rapidminer.operator.learner.LearnerCapability;
import weka.classifiers.Classifier;
import weka.classifiers.UpdateableClassifier;
import weka.core.Capabilities;
import weka.core.WeightedInstancesHandler;
/**
* Checks if a given classifier supports the desired capability.
*
* @author Ingo Mierswa
* @version $Id: WekaLearnerCapabilities.java,v 1.6 2006/04/12 11:17:42
* ingomierswa Exp $
*/
public class WekaLearnerCapabilities {
public static boolean supportsCapability(Classifier classifier, LearnerCapability lc) {
Capabilities capabilities = classifier.getCapabilities();
if (lc == LearnerCapability.POLYNOMINAL_ATTRIBUTES) {
return capabilities.handles(Capabilities.Capability.NOMINAL_ATTRIBUTES);
} else if (lc == LearnerCapability.BINOMINAL_ATTRIBUTES) {
return capabilities.handles(Capabilities.Capability.BINARY_ATTRIBUTES);
} else if (lc == LearnerCapability.NUMERICAL_ATTRIBUTES) {
return capabilities.handles(Capabilities.Capability.NUMERIC_ATTRIBUTES);
} else if (lc == LearnerCapability.POLYNOMINAL_CLASS) {
return capabilities.handles(Capabilities.Capability.NOMINAL_CLASS);
} else if (lc == LearnerCapability.BINOMINAL_CLASS) {
return capabilities.handles(Capabilities.Capability.BINARY_CLASS);
} else if (lc == LearnerCapability.NUMERICAL_CLASS) {
return capabilities.handles(Capabilities.Capability.NUMERIC_CLASS);
} else if (lc == LearnerCapability.UPDATABLE) {
return (classifier instanceof UpdateableClassifier);
} else if (lc == LearnerCapability.WEIGHTED_EXAMPLES) {
return (classifier instanceof WeightedInstancesHandler);
}
return false;
}
}