/* * Encog(tm) Core v2.5 - Java Version * http://www.heatonresearch.com/encog/ * http://code.google.com/p/encog-java/ * Copyright 2008-2010 Heaton Research, Inc. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * * For more information on Heaton Research copyrights, licenses * and trademarks visit: * http://www.heatonresearch.com/copyright */ package org.encog.mathutil.libsvm; /** * This class was taken from the libsvm package. We have made some * modifications for use in Encog. * * The libsvm Copyright/license is listed here. * * Copyright (c) 2000-2010 Chih-Chung Chang and Chih-Jen Lin * All rights reserved. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions * are met: * * 1. Redistributions of source code must retain the above copyright * notice, this list of conditions and the following disclaimer. * * 2. Redistributions in binary form must reproduce the above copyright * notice, this list of conditions and the following disclaimer in the * documentation and/or other materials provided with the distribution. * * 3. Neither name of copyright holders nor the names of its contributors * may be used to endorse or promote products derived from this software * without specific prior written permission. * * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS * ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR * A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE REGENTS OR * CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, * EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, * PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR * PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF * LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING * NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * */ public class svm_parameter implements Cloneable,java.io.Serializable { /* svm_type */ public static final int C_SVC = 0; public static final int NU_SVC = 1; public static final int ONE_CLASS = 2; public static final int EPSILON_SVR = 3; public static final int NU_SVR = 4; /* kernel_type */ public static final int LINEAR = 0; public static final int POLY = 1; public static final int RBF = 2; public static final int SIGMOID = 3; public static final int PRECOMPUTED = 4; public int svm_type; public int kernel_type; public int degree; // for poly public double gamma; // for poly/rbf/sigmoid public double coef0; // for poly/sigmoid // these are for training only public double cache_size; // in MB public double eps; // stopping criteria public double C; // for C_SVC, EPSILON_SVR and NU_SVR public int nr_weight; // for C_SVC public int[] weight_label; // for C_SVC public double[] weight; // for C_SVC public double nu; // for NU_SVC, ONE_CLASS, and NU_SVR public double p; // for EPSILON_SVR public int shrinking; // use the shrinking heuristics public int probability; // do probability estimates public int statIterations; public Object clone() { try { return super.clone(); } catch (CloneNotSupportedException e) { return null; } } }