Repository /Rseslib/rseslib-3.0.2.jar:rseslib.processing.classification.svm.PolynomialKernelFunction

/*
 * $RCSfile: Headerable.java,v $
 * $Revision: 1.10 $
 * $Date: 2006/07/29 12:39:52 $
 * $Author: wojna $
 * 
 * Copyright (C) 2002 - 2007 Logic Group, Institute of Mathematics, Warsaw University
 * 
 *  This file is part of Rseslib.
 *
 *  Rseslib is free software; you can redistribute it and/or modify
 *  it under the terms of the GNU General Public License as published by
 *  the Free Software Foundation; either version 3 of the License, or
 *  (at your option) any later version.
 *
 *  Rseslib 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 General Public License for more details.
 *
 *  You should have received a copy of the GNU General Public License
 *  along with this program.  If not, see <http://www.gnu.org/licenses/>.
 */


package rseslib.processing.classification.svm;

import rseslib.structure.attribute.Header;
import rseslib.structure.data.DoubleData;
import rseslib.structure.table.DoubleDataTable;

/**
 * Class realizing polynomial kernel function
 */
public class PolynomialKernelFunction implements KernelFunction {

    /** Information about attributes. */
    private Header m_Attributes;
    /**
     * Degree of the polynomial function.
     */
    private int degree;
    /**
     * Additive of polynomial function.
     */
    private int add;

    /**
     *  Polynomial function  (x*y+a)^d.
     * @param tab
     * @param d
     * @param a
     */
    public PolynomialKernelFunction(DoubleDataTable tab,int d,int a) {
        m_Attributes = (Header)tab.attributes();
        degree = d;
        add = a;
    }

    /**
     * kernel function K
     * @param dObj1 data object 1
     * @param dObj2 data object 2
     * @return kernel function value for given parameters
     */
    public double K(DoubleData dObj1, DoubleData dObj2) {
       double result = 0;
        for (int att = 0; att < dObj1.attributes().noOfAttr(); att++)
            if (m_Attributes.isConditional(att))
                result+=dObj1.get(att)*dObj2.get(att);
        result+=add;
        result = Math.pow(result,degree);
        return result;
    }

}