001/** 002 * Copyright (C) 2007 - 2016, Jens Lehmann 003 * 004 * This file is part of DL-Learner. 005 * 006 * DL-Learner is free software; you can redistribute it and/or modify 007 * it under the terms of the GNU General Public License as published by 008 * the Free Software Foundation; either version 3 of the License, or 009 * (at your option) any later version. 010 * 011 * DL-Learner is distributed in the hope that it will be useful, 012 * but WITHOUT ANY WARRANTY; without even the implied warranty of 013 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 014 * GNU General Public License for more details. 015 * 016 * You should have received a copy of the GNU General Public License 017 * along with this program. If not, see <http://www.gnu.org/licenses/>. 018 */ 019package org.dllearner.algorithms.decisiontrees.utils; 020 021import org.apache.commons.math3.stat.StatUtils; 022 023/** 024 * Utils to compute statistics for classifier performance 025 * @author Utente 026 * 027 */ 028public class MathUtils { 029 private static double mean; 030 private static double stddev; 031 public static double avg(double[] population) { 032 mean = StatUtils.mean(population); 033 return mean; 034 } 035 036 public static double variance(double[] population) { 037 stddev = StatUtils.variance(population); 038 return stddev; 039 } 040// public double[] sampling (int dimSample) { 041// 042// RandomDataGenerator randomData = new RandomDataGenerator(); 043// randomData.reSeed(2); 044// for (int i = 0; i < dimSample; i++) { 045// double value = randomData.nextLong(1, 1000000); 046// } 047// return null; 048// } 049 050 public static double stdDeviation(double[] population) { 051 stddev = StatUtils.variance(population); 052 return Math.sqrt(stddev); 053 } 054 055 056 057 058}