JSX_TTS / sklearn /utils /_weight_vector.pxd
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# WARNING: Do not edit this .pyx file directly, it is generated from its .pyx.tp
cimport numpy as np
cdef class WeightVector64(object):
cdef readonly double[::1] w
cdef readonly double[::1] aw
cdef double *w_data_ptr
cdef double *aw_data_ptr
cdef double wscale
cdef double average_a
cdef double average_b
cdef int n_features
cdef double sq_norm
cdef void add(self, double *x_data_ptr, int *x_ind_ptr,
int xnnz, double c) nogil
cdef void add_average(self, double *x_data_ptr, int *x_ind_ptr,
int xnnz, double c, double num_iter) nogil
cdef double dot(self, double *x_data_ptr, int *x_ind_ptr,
int xnnz) nogil
cdef void scale(self, double c) nogil
cdef void reset_wscale(self) nogil
cdef double norm(self) nogil
cdef class WeightVector32(object):
cdef readonly float[::1] w
cdef readonly float[::1] aw
cdef float *w_data_ptr
cdef float *aw_data_ptr
cdef float wscale
cdef float average_a
cdef float average_b
cdef int n_features
cdef float sq_norm
cdef void add(self, float *x_data_ptr, int *x_ind_ptr,
int xnnz, float c) nogil
cdef void add_average(self, float *x_data_ptr, int *x_ind_ptr,
int xnnz, float c, float num_iter) nogil
cdef float dot(self, float *x_data_ptr, int *x_ind_ptr,
int xnnz) nogil
cdef void scale(self, float c) nogil
cdef void reset_wscale(self) nogil
cdef float norm(self) nogil