32 #ifndef GENSVM_KERNEL_H 33 #define GENSVM_KERNEL_H 47 double **P_ret,
double **Sigma_ret);
53 struct GenData *traindata,
double *K2);
56 double coef,
double degree);
59 int dsyevx(
char JOBZ,
char RANGE,
char UPLO,
int N,
double *A,
int LDA,
60 double VL,
double VU,
int IL,
int IU,
double ABSTOL,
61 int *M,
double *W,
double *Z,
int LDZ,
double *WORK,
int LWORK,
62 int *IWORK,
int *IFAIL);
void gensvm_kernel_copy_kernelparam_to_data(struct GenModel *model, struct GenData *data)
Copy the kernelparameters from GenModel to GenData.
double gensvm_kernel_dot_rbf(double *x1, double *x2, long n, double gamma)
Compute the RBF kernel between two vectors.
void gensvm_kernel_compute(struct GenModel *model, struct GenData *data, double *K)
Compute the kernel matrix.
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)
Compute the eigenvalues and optionally the eigenvectors of a symmetric matrix.
A structure to represent the data.
A structure to represent a single GenSVM model.
double * gensvm_kernel_cross(struct GenModel *model, struct GenData *data_train, struct GenData *data_test)
Compute the kernel crossproduct between two datasets.
long gensvm_kernel_eigendecomp(double *K, long n, double cutoff, double **P_ret, double **Sigma_ret)
Find the (reduced) eigendecomposition of a kernel matrix.
void gensvm_kernel_testfactor(struct GenData *testdata, struct GenData *traindata, double *K2)
Calculate the matrix product for the testfactor.
double dlamch(char CMACH)
Determine double precision machine parameters.
void gensvm_kernel_trainfactor(struct GenData *data, double *P, double *Sigma, long r)
Compute the training factor as part of kernel preprocessing.
double gensvm_kernel_dot_sigmoid(double *x1, double *x2, long n, double gamma, double coef)
Compute the sigmoid kernel between two vectors.
void gensvm_kernel_postprocess(struct GenModel *model, struct GenData *traindata, struct GenData *testdata)
Compute the kernel postprocessing factor.
Header file for gensvm_base.c.
double gensvm_kernel_dot_poly(double *x1, double *x2, long n, double gamma, double coef, double degree)
Compute the polynomial kernel between two vectors.
void gensvm_kernel_preprocess(struct GenModel *model, struct GenData *data)
Do the preprocessing steps needed to perform kernel GenSVM.
