_libsvm.pxi

################################################################################
# Includes
from ..utils._typedefs cimport intp_t

cdef extern from "_svm_cython_blas_helpers.h":
    ctypedef double (*dot_func)(int, const double*, int, const double*, int)
    cdef struct BlasFunctions:
        dot_func dot


cdef extern from "svm.h":
    cdef struct svm_node
    cdef struct svm_model
    cdef struct svm_parameter:
        int svm_type
        int kernel_type
        int degree    # for poly
        double gamma  # for poly/rbf/sigmoid
        double coef0  # for poly/sigmoid

        # these are for training only
        double cache_size  # in MB
        double eps         # stopping criteria
        double C           # for C_SVC, EPSILON_SVR and NU_SVR
        int nr_weight      # for C_SVC
        int *weight_label  # for C_SVC
        double* weight     # for C_SVC
        double nu          # for NU_SVC, ONE_CLASS, and NU_SVR
        double p           # for EPSILON_SVR
        int shrinking      # use the shrinking heuristics
        int probability    # do probability estimates
        int max_iter       # ceiling on Solver runtime
        int random_seed    # seed for random generator in probability estimation

    cdef struct svm_problem:
        int l
        double *y
        svm_node *x
        double *W  # instance weights

    char *svm_check_parameter(svm_problem *, svm_parameter *)
    svm_model *svm_train(svm_problem *, svm_parameter *, int *, BlasFunctions *) nogil
    void svm_free_and_destroy_model(svm_model** model_ptr_ptr)
    void svm_cross_validation(svm_problem *, svm_parameter *, int nr_fold, double *target, BlasFunctions *) nogil


cdef extern from "libsvm_helper.c":
    # this file contains methods for accessing libsvm 'hidden' fields
    svm_node **dense_to_sparse (char *, intp_t *)
    void set_parameter (svm_parameter *, int , int , int , double, double ,
                        double , double , double , double,
                        double, int, int, int, char *, char *, int,
                        int)
    void set_problem (svm_problem *, char *, char *, char *, intp_t *, int)

    svm_model *set_model (svm_parameter *, int, char *, intp_t *,
                          char *, intp_t *, intp_t *, char *,
                          char *, char *, char *, char *)

    void copy_sv_coef   (char *, svm_model *)
    void copy_n_iter  (char *, svm_model *)
    void copy_intercept (char *, svm_model *, intp_t *)
    void copy_SV        (char *, svm_model *, intp_t *)
    int copy_support (char *data, svm_model *model)
    int copy_predict (char *, svm_model *, intp_t *, char *, BlasFunctions *) nogil
    int copy_predict_proba (char *, svm_model *, intp_t *, char *, BlasFunctions *) nogil
    int copy_predict_values(char *, svm_model *, intp_t *, char *, int, BlasFunctions *) nogil
    void copy_nSV     (char *, svm_model *)
    void copy_probA   (char *, svm_model *, intp_t *)
    void copy_probB   (char *, svm_model *, intp_t *)
    intp_t  get_l  (svm_model *)
    intp_t  get_nr (svm_model *)
    int  free_problem   (svm_problem *)
    int  free_model     (svm_model *)
    void set_verbosity(int)