distributionsequentialclassifier.java

来自「把 sequential 有导师学习问题转化为传统的有导师学习问题」· Java 代码 · 共 64 行

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/* *    This program is free software; you can redistribute it and/or modify *    it under the terms of the GNU General Public License as published by *    the Free Software Foundation; either version 2 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 General Public License for more details. * *    You should have received a copy of the GNU General Public License *    along with this program; if not, write to the Free Software *    Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA. *//* *    DistributionSequentialClassifier.java *    Copyright (C) 2003 University Of Waikato * */package weka.classifiers;import weka.classifiers.*;import weka.core.*;/**  * Abstract sequential classification model that produces (for each element in sequence) * an estimate of the membership in each class (ie. a probability distribution). * * @author Saket Joshi (joshi@cs.orst.edu) * @author Richard Kirkby (rkirkby@cs.waikato.ac.nz) * @version $Revision: 1.1 $ */public abstract class DistributionSequentialClassifier extends SequentialClassifier{  /**   * Classifies a given sequence, with class membership probabilities for the output sequence.   *   * @param insts the instances to be classified   * @return the probabilities of the predicted sequence, as a double array of memberships   */    public abstract double[][] distributionForSequence(Instances insts) throws Exception;  /**   * Classifies a given sequence.   *   * @param insts the instances to be classified   * @return the predicted sequence, as an array of class labels   */      public double[] classifySequence(Instances insts) throws Exception {    double [] result = new double[insts.numInstances()];    double [][] dist = distributionForSequence(insts);    for(int i = 0; i<result.length; i++) {      result[i] = Utils.maxIndex(dist[i]);    }    return result;  }}

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