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 * Copyright (c) 2010-2020 Haifeng Li. All rights reserved.
 *
 * Smile is free software: you can redistribute it and/or modify
 * it under the terms of the GNU Lesser General Public License as
 * published by the Free Software Foundation, either version 3 of
 * the License, or (at your option) any later version.
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 * Smile is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
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 * GNU Lesser General Public License for more details.
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 * along with Smile.  If not, see .
 ******************************************************************************/

package smile.math.kernel;

import smile.math.MathEx;

/**
 * The Thin Plate Spline kernel on binary sparse data.
 * 

*

 *     k(u, v) = (||u-v|| / σ)2 log (||u-v|| / σ)
 * 
* where σ > 0 is the scale parameter of the kernel. * The kernel can work on sparse binary array as int[], which are the * indices of nonzero elements. * * @author Haifeng Li */ public class BinarySparseThinPlateSplineKernel extends ThinPlateSpline implements MercerKernel { /** * Constructor. * @param sigma The length scale of kernel. */ public BinarySparseThinPlateSplineKernel(double sigma) { this(sigma, 1E-05, 1E5); } /** * Constructor. * @param sigma The length scale of kernel. * @param lo The lower bound of length scale for hyperparameter tuning. * @param hi The upper bound of length scale for hyperparameter tuning. */ public BinarySparseThinPlateSplineKernel(double sigma, double lo, double hi) { super(sigma, lo, hi); } @Override public double k(int[] x, int[] y) { return k(MathEx.distance(x, y)); } @Override public double[] kg(int[] x, int[] y) { return kg(MathEx.distance(x, y)); } @Override public BinarySparseThinPlateSplineKernel of(double[] params) { return new BinarySparseThinPlateSplineKernel(params[0], lo, hi); } @Override public double[] hyperparameters() { return new double[] { sigma }; } @Override public double[] lo() { return new double[] { lo }; } @Override public double[] hi() { return new double[] { hi }; } }




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