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cimport numpy as np
cdef extern from "src/liblinear/linear.h":
cdef struct feature_node
cdef struct problem
cdef struct model
cdef struct parameter
char *check_parameter (problem *prob, parameter *param)
model *train (problem *prob, parameter *param)
int get_nr_feature (model *model)
int get_nr_class (model *model)
void free_and_destroy_model (model **)
void destroy_param (parameter *)
cdef extern from "src/liblinear/liblinear_helper.c":
void copy_w(char *, model *, int)
parameter *set_parameter (int, double, double, int,
char *, char *)
problem *set_problem (char *, char *, np.npy_intp *, double)
problem *csr_set_problem (char *values, np.npy_intp *n_indices,
char *indices, np.npy_intp *n_indptr, char *indptr, char *Y,
np.npy_intp n_features, double bias)
parameter *set_parameter(int, double, double, int, char *, char *)
model *set_model(parameter *, char *, np.npy_intp *, char *, double)
int copy_predict(char *, model *, np.npy_intp *, char *)
int csr_copy_predict(
np.npy_intp n_features, np.npy_intp *data_size, char *data,
np.npy_intp *index_size, char *index, np.npy_intp
*intptr_size, char *intptr, model *model, char *dec_values)
int csr_copy_predict_values(
np.npy_intp n_features, np.npy_intp *data_size, char *data, np.npy_intp
*index_size, char *index, np.npy_intp *indptr_shape, char
*intptr, model *model_, char *dec_values, int nr_class)
int csr_copy_predict_proba(
np.npy_intp n_features, np.npy_intp *data_size, char *data,
np.npy_intp *index_size, char *index, np.npy_intp
*indptr_shape, char *indptr, model *model_, char *dec_values)
int copy_prob_predict(char *, model *, np.npy_intp *, char *)
int copy_predict_values(char *, model *, np.npy_intp *, char *, int)
int copy_label(char *, model *, int)
double get_bias(model *)
void free_problem (problem *)
void free_parameter (parameter *)
void set_verbosity(int)
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