/**
* Copyright (C) 2001-2017 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 com.rapidminer.operator.learner.functions.kernel.rvm.kernel;
import java.io.Serializable;
/**
* A basis function for kernels.
*
* @author Piotr Kasprzak, Ingo Mierswa
*/
public class KernelBasisFunction implements Serializable {
private static final long serialVersionUID = 6468092358201066159L;
/** Dimension of the basis vector (= dimension of input vectors) */
protected int dim = 0;
/** Vector */
protected double[] y = null;
/** The kernel to be used as a basis */
protected Kernel kernel = null;
/** Constructor(s) */
public KernelBasisFunction(Kernel kernel, double[] y_vector) {
y = y_vector;
dim = y.length;
this.kernel = kernel;
}
public KernelBasisFunction(Kernel kernel) {
this.kernel = kernel;
}
/** Evaluate KernelBasisFunction */
public double eval(double[] x) {
return kernel.eval(x, y);
}
/** Get basis vector */
public double[] getBasisVector() {
return this.y;
}
}