Package com.gregdennis.drej

Source Code of com.gregdennis.drej.Representer

/*
* Drej
* Copyright (c) 2005 Greg Dennis
*
* This program 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 2
* 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 General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA  02111-1307, USA.
*/

package com.gregdennis.drej;

import javax.vecmath.GMatrix;
import javax.vecmath.GVector;
import javax.vecmath.MismatchedSizeException;

/**
* A representer function with a kernel K(x1, x2), a set of training
* data points (d1, d2, …, dn), and a vector (c1, c2, …, cn)
* of coefficients.
*
* <blockquote>
* &fnof;(x) = &sum; c<sub>i</sub>K(d<sub>i</sub>, x)
* </blockquote>
*
* @author Greg Dennis (gdennis@mit.edu)
*/
public final class Representer implements Function {
   
    private final Kernel kernel;
    private final GVector[] points;
    private final GVector coeffs;
    /** for returning to avoid rep exposure. */
    private final GVector copyCoeffs;

    /**
     * Constructs a new representer with the specified kernel,
     * data matrix, and coefficients. The data matrix is expected
     * to contain one data point in each column.
     *
     * @throws MismatchedSizeException
     *   if number of data columns differs from number of coefficients.
     */
    public Representer(Kernel kernel, GMatrix data, GVector coeffs) {
        if (kernel == null) throw new NullPointerException("kernel");
        if (data.getNumCol() != coeffs.getSize()) {
            throw new MismatchedSizeException();
        }
       
        this.kernel = kernel;
        this.points = new GVector[data.getNumCol()];
        this.coeffs = new GVector(coeffs);
        this.copyCoeffs = new GVector(coeffs);
       
        for(int i = 0; i < data.getNumCol(); i++) {
            this.points[i] = new GVector(data.getNumRow());
            data.getColumn(i, points[i]);
        }
    }
   
    /**
     * Returns a copy of the vector of coefficients.
     */
    public GVector coeffs() {
        return copyCoeffs;
    }
   
    public double eval(GVector x) {
        double sum = 0;
        for(int i = 0; i < coeffs.getSize(); i++) {
            sum += coeffs.getElement(i) * kernel.eval(points[i], x);
        }
        return sum;
    }

}
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