#------------------------------------------------------------------------------ """ Dataset abstractions for sequential data access. WARNING: Do not edit .pxd file directly, it is generated from .pxd.tp """ cimport numpy as cnp # SequentialDataset and its two concrete subclasses are (optionally randomized) # iterators over the rows of a matrix X and corresponding target values y. cdef class SequentialDataset64: cdef int current_index cdef cnp.ndarray index cdef int *index_data_ptr cdef Py_ssize_t n_samples cdef cnp.uint32_t seed cdef void shuffle(self, cnp.uint32_t seed) nogil cdef int _get_next_index(self) nogil cdef int _get_random_index(self) nogil cdef void _sample(self, double **x_data_ptr, int **x_ind_ptr, int *nnz, double *y, double *sample_weight, int current_index) nogil cdef void next(self, double **x_data_ptr, int **x_ind_ptr, int *nnz, double *y, double *sample_weight) nogil cdef int random(self, double **x_data_ptr, int **x_ind_ptr, int *nnz, double *y, double *sample_weight) nogil cdef class ArrayDataset64(SequentialDataset64): cdef cnp.ndarray X cdef cnp.ndarray Y cdef cnp.ndarray sample_weights cdef Py_ssize_t n_features cdef cnp.npy_intp X_stride cdef double *X_data_ptr cdef double *Y_data_ptr cdef cnp.ndarray feature_indices cdef int *feature_indices_ptr cdef double *sample_weight_data cdef class CSRDataset64(SequentialDataset64): cdef cnp.ndarray X_data cdef cnp.ndarray X_indptr cdef cnp.ndarray X_indices cdef cnp.ndarray Y cdef cnp.ndarray sample_weights cdef double *X_data_ptr cdef int *X_indptr_ptr cdef int *X_indices_ptr cdef double *Y_data_ptr cdef double *sample_weight_data #------------------------------------------------------------------------------ """ Dataset abstractions for sequential data access. WARNING: Do not edit .pxd file directly, it is generated from .pxd.tp """ cimport numpy as cnp # SequentialDataset and its two concrete subclasses are (optionally randomized) # iterators over the rows of a matrix X and corresponding target values y. cdef class SequentialDataset32: cdef int current_index cdef cnp.ndarray index cdef int *index_data_ptr cdef Py_ssize_t n_samples cdef cnp.uint32_t seed cdef void shuffle(self, cnp.uint32_t seed) nogil cdef int _get_next_index(self) nogil cdef int _get_random_index(self) nogil cdef void _sample(self, float **x_data_ptr, int **x_ind_ptr, int *nnz, float *y, float *sample_weight, int current_index) nogil cdef void next(self, float **x_data_ptr, int **x_ind_ptr, int *nnz, float *y, float *sample_weight) nogil cdef int random(self, float **x_data_ptr, int **x_ind_ptr, int *nnz, float *y, float *sample_weight) nogil cdef class ArrayDataset32(SequentialDataset32): cdef cnp.ndarray X cdef cnp.ndarray Y cdef cnp.ndarray sample_weights cdef Py_ssize_t n_features cdef cnp.npy_intp X_stride cdef float *X_data_ptr cdef float *Y_data_ptr cdef cnp.ndarray feature_indices cdef int *feature_indices_ptr cdef float *sample_weight_data cdef class CSRDataset32(SequentialDataset32): cdef cnp.ndarray X_data cdef cnp.ndarray X_indptr cdef cnp.ndarray X_indices cdef cnp.ndarray Y cdef cnp.ndarray sample_weights cdef float *X_data_ptr cdef int *X_indptr_ptr cdef int *X_indices_ptr cdef float *Y_data_ptr cdef float *sample_weight_data