![JAR search and dependency download from the Maven repository](/logo.png)
smile.math.kernel.ThinPlateSpline 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;
/**
* The Thin Plate Spline kernel.
*
*
* 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 ThinPlateSpline implements IsotropicKernel {
private static final long serialVersionUID = 2L;
/**
* The length scale of the kernel.
*/
final double sigma;
/** The lower bound of length scale for hyperparameter tuning. */
final double lo;
/** The upper bound of length scale for hyperparameter tuning. */
final double hi;
/**
* 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 ThinPlateSpline(double sigma, double lo, double hi) {
if (sigma <= 0) {
throw new IllegalArgumentException("sigma is not positive: " + sigma);
}
this.sigma = sigma;
this.lo = lo;
this.hi = hi;
}
/** Returns the length scale of kernel. */
public double scale() {
return sigma;
}
@Override
public String toString() {
return String.format("ThinPlateSplineKernel(%.4f)", sigma);
}
@Override
public double k(double dist) {
double d = dist / sigma;
return d * d * Math.log(d);
}
@Override
public double[] kg(double dist) {
double[] g = new double[2];
double d = dist / sigma;
double k = d * d * Math.log(d);
g[0] = k;
g[1] = -d * d * (2.0 * Math.log(d) + 1.0) / sigma;
return g;
}
}
© 2015 - 2025 Weber Informatics LLC | Privacy Policy