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/**
* @file gensvm_kernel.h
* @author G.J.J. van den Burg
* @date 2014-01-07
* @brief Header file for gensvm_kernel.c
*
* @details
* Contains function declarations for computing the kernel matrix
* in nonlinear MSVMGen. Additional kernel functions should be
* included here and in gensvm_kernel.c
*
* @copyright
Copyright 2016, G.J.J. van den Burg.
This file is part of GenSVM.
GenSVM 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.
GenSVM 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 GenSVM. If not, see <http://www.gnu.org/licenses/>.
*/
#ifndef GENSVM_KERNEL_H
#define GENSVM_KERNEL_H
// includes
#include "gensvm_base.h"
// function declarations
void gensvm_kernel_copy_kernelparam_to_data(struct GenModel *model,
struct GenData *data);
void gensvm_kernel_preprocess(struct GenModel *model, struct GenData *data);
void gensvm_kernel_postprocess(struct GenModel *model,
struct GenData *traindata, struct GenData *testdata);
void gensvm_kernel_compute(struct GenModel *model, struct GenData *data,
double *K);
long gensvm_kernel_eigendecomp(double *K, long n, double cutoff,
double **P_ret, double **Sigma_ret);
double *gensvm_kernel_cross(struct GenModel *model, struct GenData *data_train,
struct GenData *data_test);
void gensvm_kernel_trainfactor(struct GenData *data, double *P, double *Sigma,
long r);
void gensvm_kernel_testfactor(struct GenData *testdata,
struct GenData *traindata, double *K2);
double gensvm_kernel_dot_rbf(double *x1, double *x2, long n, double gamma);
double gensvm_kernel_dot_poly(double *x1, double *x2, long n, double gamma,
double coef, double degree);
double gensvm_kernel_dot_sigmoid(double *x1, double *x2, long n, double gamma,
double coef);
int dsyevx(char JOBZ, char RANGE, char UPLO, int N, double *A, int LDA,
double VL, double VU, int IL, int IU, double ABSTOL,
int *M, double *W, double *Z, int LDZ, double *WORK, int LWORK,
int *IWORK, int *IFAIL);
double dlamch(char CMACH);
#endif
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