/*
* RapidMiner
*
* Copyright (C) 2001-2014 by RapidMiner and the contributors
*
* Complete list of developers available at our web site:
*
* http://rapidminer.com
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU Affero General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU Affero General Public License for more details.
*
* You should have received a copy of the GNU Affero General Public License
* along with this program. If not, see http://www.gnu.org/licenses/.
*/
package libsvm;
public class svm_model implements java.io.Serializable {
private static final long serialVersionUID = 7974831813044169852L;
public svm_parameter param; // parameter
public int nr_class; // number of classes, = 2 in regression/one class svm
public int l; // total #SV
public svm_node[][] SV; // SVs (SV[l])
public double[][] sv_coef; // coefficients for SVs in decision functions (sv_coef[k-1][l])
public double[] rho; // constants in decision functions (rho[k*(k-1)/2])
public double[] probA; // pariwise probability information
public double[] probB;
// for classification only
public int[] label; // label of each class (label[k])
public int[] nSV; // number of SVs for each class (nSV[k])
// nSV[0] + nSV[1] + ... + nSV[k-1] = l
public double[] labelValues; // actual label values for all support vectors (only used for displaying)
}