📄 baggingclassifier.java
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/* Copyright (C) 2002 Univ. of Massachusetts Amherst, Computer Science Dept. This file is part of "MALLET" (MAchine Learning for LanguagE Toolkit). http://www.cs.umass.edu/~mccallum/mallet This software is provided under the terms of the Common Public License, version 1.0, as published by http://www.opensource.org. For further information, see the file `LICENSE' included with this distribution. */package edu.umass.cs.mallet.base.classify;import edu.umass.cs.mallet.base.pipe.*;import edu.umass.cs.mallet.base.types.*;/** @author Andrew McCallum <a href="mailto:mccallum@cs.umass.edu">mccallum@cs.umass.edu</a> */public class BaggingClassifier extends Classifier{ Classifier[] baggedClassifiers; double[] weights; // Not yet implemented! public BaggingClassifier (Pipe instancePipe, Classifier[] baggedClassifiers) { super (instancePipe); this.baggedClassifiers = baggedClassifiers; } public Classification classify (Instance inst) { int numClasses = getLabelAlphabet().size(); double[] scores = new double[numClasses]; int bestIndex; double sum = 0; for (int i = 0; i < baggedClassifiers.length; i++) { Labeling labeling = baggedClassifiers[i].classify(inst).getLabeling(); labeling.addTo (scores); } DenseVector.normalize (scores); return new Classification (inst, this, new LabelVector (getLabelAlphabet(), scores)); }}
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