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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);
}