package com.yahoo.labs.samoa.moa.classifiers.core.splitcriteria; /* * #%L * SAMOA * %% * Copyright (C) 2007 University of Waikato, Hamilton, New Zealand * %% * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * #L% */ import com.yahoo.labs.samoa.moa.options.OptionHandler; /** * Interface for computing splitting criteria. * with respect to distributions of class values. * The split criterion is used as a parameter on * decision trees and decision stumps. * The two split criteria most used are * Information Gain and Gini. * * @author Richard Kirkby (rkirkby@cs.waikato.ac.nz) * @version $Revision: 7 $ */ public interface SplitCriterion extends OptionHandler { /** * Computes the merit of splitting for a given * ditribution before the split and after it. * * @param preSplitDist the class distribution before the split * @param postSplitDists the class distribution after the split * @return value of the merit of splitting */ public double getMeritOfSplit(double[] preSplitDist, double[][] postSplitDists); /** * Computes the range of splitting merit * * @param preSplitDist the class distribution before the split * @return value of the range of splitting merit */ public double getRangeOfMerit(double[] preSplitDist); }