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📄 intervalestimator.java

📁 Java 编写的多种数据挖掘算法 包括聚类、分类、预处理等
💻 JAVA
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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. *//* *    IntervalEstimator.java *    Copyright (C) 2005 Kurt Driessens * */package weka.classifiers;import weka.core.Instance;/**  * Interface for classifiers that can output confidence intervals * * @author Kurt Driessens (kurtd@cs.waikato.ac.nz) * @version $Revision: 1.1 $ */public interface IntervalEstimator {  /**   * Returns an N*2 array, where N is the number of possible classes, that estimate    * the boundaries for the confidence interval with a confidence level specified by   * the second parameter. Every row of the returned array gives the probability estimates    * for a single class.  In the case of numeric predictions, a single confidance interval    * will be returned.   *   * @param inst the instance to make the prediction for.   * @param confidenceLevel the percentage of cases that the interval should cover.   * @return an array of confidance intervals (one for each class)   * @exception Exception if the intervals can't be computed   */  double[][] predictInterval(Instance inst, double confidenceLevel) throws Exception;}

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