Java tutorial
/* * Copyright (c) [2016-2017] [University of Minnesota] * * 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. */ package org.grouplens.samantha.modeler.solver; import org.apache.commons.math3.linear.RealVector; import java.util.List; public class L1Regularizer implements Regularizer { public L1Regularizer() { } public double getValue(double var) { return Math.abs(var); } public double getGradient(double var) { if (var > 0) { return 1; } else if (var < 0) { return -1; } else { return 0; //sub gradient: any one in [-1, 1] } } public double getObjective(double l1coef, RealVector var) { double l1norm = var.getL1Norm(); return l1coef * l1norm; } public double getObjective(double l1coef, List<RealVector> vars) { double objVal = 0.0; for (RealVector realVector : vars) { double l1norm = realVector.getL1Norm(); objVal += l1norm; } return objVal * l1coef; } }