Here you can find the source of normalizeFromRealSpace(final double[] array)
Parameter | Description |
---|---|
array | the array to be normalized |
public static double[] normalizeFromRealSpace(final double[] array)
//package com.java2s; /*/*from www. j a va 2 s . co m*/ * Copyright (c) 2017 NCIC, Institute of Computing Technology, Chinese Academy of Sciences * * Permission is hereby granted, free of charge, to any person obtaining a copy * of this software and associated documentation files (the "Software"), to deal * in the Software without restriction, including without limitation the rights * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell * copies of the Software, and to permit persons to whom the Software is * furnished to do so, subject to the following conditions: * * The above copyright notice and this permission notice shall be included in * all copies or substantial portions of the Software. * * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN * THE SOFTWARE. */ import java.util.*; public class Main { /** * normalizes the real-space probability array. * * Does not assume anything about the values in the array, beyond that no elements are below 0. It's ok * to have values in the array of > 1, or have the sum go above 0. * * @param array the array to be normalized * @return a newly allocated array corresponding the normalized values in array */ public static double[] normalizeFromRealSpace(final double[] array) { if (array.length == 0) return array; final double sum = sum(array); final double[] normalized = new double[array.length]; if (sum < 0.0) throw new IllegalArgumentException("Values in probability array sum to a negative number " + sum); for (int i = 0; i < array.length; i++) { normalized[i] = array[i] / sum; } return normalized; } public static double sum(final double[] values) { double s = 0.0; for (double v : values) s += v; return s; } public static long sum(final int[] x) { long total = 0; for (int v : x) total += v; return total; } public static int sum(final byte[] x) { int total = 0; for (byte v : x) total += (int) v; return total; } public static int sum(final List<Integer> list) { int sum = 0; for (Integer i : list) { sum += i; } return sum; } }