smile.base.svm.SupportVector Maven / Gradle / Ivy
/*
* Copyright (c) 2010-2021 Haifeng Li. All rights reserved.
*
* Smile 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 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 General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with Smile. If not, see implements Serializable {
private static final long serialVersionUID = 2L;
/**
* The index of support vector in training samples.
*/
final int i;
/**
* Support vector.
*/
final T x;
/**
* Lagrangian multiplier of support vector.
*/
double alpha;
/**
* Gradient y - Kα.
*/
double g;
/**
* Lower bound of alpha.
*/
final double cmin;
/**
* Upper bound of alpha.
*/
final double cmax;
/**
* Kernel value k(x, x)
*/
final double k;
/**
* Constructor.
* @param i the index of support vector.
* @param x the support vector.
* @param y the class label.
* @param alpha Lagrangian multiplier of support vector.
* @param g the gradient.
* @param Cp the bound on positive samples.
* @param Cn the bound on negative samples.
* @param k the kernel value k(x, x).
*/
public SupportVector(int i, T x, int y, double alpha, double g, double Cp, double Cn, double k) {
this.i = i;
this.x = x;
this.alpha = alpha;
this.g = g;
this.k = k;
if (y > 0) {
cmin = 0;
cmax = Cp;
} else {
cmin = -Cn;
cmax = 0;
}
}
}