package org.lambda3.indra.relatedness; /*- * ==========================License-Start============================= * Indra Core Module * -------------------------------------------------------------------- * Copyright (C) 2016 - 2017 Lambda^3 * -------------------------------------------------------------------- * 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. * ==========================License-End=============================== */ import org.apache.commons.math3.linear.RealVector; import org.lambda3.indra.relatedness.RelatednessFunction; public class Jaccard2RelatednessFunction implements RelatednessFunction { @Override public double sim(RealVector r1, RealVector r2, boolean sparse) { if (r1.getDimension() != r2.getDimension()) { return 0; } double min = 0.0; double max = 0.0; for (int i = 0; i <r1.getDimension(); ++i) { if (r1.getEntry(i) > r2.getEntry(i)) { min +=r2.getEntry(i); max += r1.getEntry(i); } else { min += r1.getEntry(i); max += r2.getEntry(i); } } if (max == 0) { return 0; } return Math.abs(min / max); } }