smile.math.kernel.SparseThinPlateSplineKernel Maven / Gradle / Ivy
/*******************************************************************************
* 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.
*
* Smile 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 Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public License
* along with Smile. If not, see .
******************************************************************************/
package smile.math.kernel;
import smile.math.MathEx;
import smile.util.SparseArray;
/**
* The Thin Plate Spline kernel on sparse data.
*
*
* k(u, v) = (||u-v|| / σ)2 log (||u-v|| / σ)
*
* where σ > 0
is the scale parameter of the kernel.
*
* @author Haifeng Li
*/
public class SparseThinPlateSplineKernel extends ThinPlateSpline implements MercerKernel {
/**
* Constructor.
* @param sigma The length scale of kernel.
*/
public SparseThinPlateSplineKernel(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 SparseThinPlateSplineKernel(double sigma, double lo, double hi) {
super(sigma, lo, hi);
}
@Override
public double k(SparseArray x, SparseArray y) {
return k(MathEx.distance(x, y));
}
@Override
public double[] kg(SparseArray x, SparseArray y) {
return kg(MathEx.distance(x, y));
}
@Override
public SparseThinPlateSplineKernel of(double[] params) {
return new SparseThinPlateSplineKernel(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 };
}
}