peacock-data-public-datasets-idc-cronscript
/
venv
/lib
/python3.10
/site-packages
/sklearn
/utils
/_seq_dataset.pxd
| # WARNING: Do not edit this file directly. | |
| # It is automatically generated from 'sklearn/utils/_seq_dataset.pxd.tp'. | |
| # Changes must be made there. | |
| """Dataset abstractions for sequential data access.""" | |
| 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 int[::1] 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) noexcept nogil | |
| cdef int _get_next_index(self) noexcept nogil | |
| cdef int _get_random_index(self) noexcept nogil | |
| cdef void _sample(self, double **x_data_ptr, int **x_ind_ptr, | |
| int *nnz, double *y, double *sample_weight, | |
| int current_index) noexcept nogil | |
| cdef void next(self, double **x_data_ptr, int **x_ind_ptr, | |
| int *nnz, double *y, double *sample_weight) noexcept nogil | |
| cdef int random(self, double **x_data_ptr, int **x_ind_ptr, | |
| int *nnz, double *y, double *sample_weight) noexcept nogil | |
| cdef class ArrayDataset64(SequentialDataset64): | |
| cdef const double[:, ::1] X | |
| cdef const double[::1] Y | |
| cdef const double[::1] 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 const int[::1] feature_indices | |
| cdef int *feature_indices_ptr | |
| cdef double *sample_weight_data | |
| cdef class CSRDataset64(SequentialDataset64): | |
| cdef const double[::1] X_data | |
| cdef const int[::1] X_indptr | |
| cdef const int[::1] X_indices | |
| cdef const double[::1] Y | |
| cdef const double[::1] 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 | |
| #------------------------------------------------------------------------------ | |
| cdef class SequentialDataset32: | |
| cdef int current_index | |
| cdef int[::1] 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) noexcept nogil | |
| cdef int _get_next_index(self) noexcept nogil | |
| cdef int _get_random_index(self) noexcept nogil | |
| cdef void _sample(self, float **x_data_ptr, int **x_ind_ptr, | |
| int *nnz, float *y, float *sample_weight, | |
| int current_index) noexcept nogil | |
| cdef void next(self, float **x_data_ptr, int **x_ind_ptr, | |
| int *nnz, float *y, float *sample_weight) noexcept nogil | |
| cdef int random(self, float **x_data_ptr, int **x_ind_ptr, | |
| int *nnz, float *y, float *sample_weight) noexcept nogil | |
| cdef class ArrayDataset32(SequentialDataset32): | |
| cdef const float[:, ::1] X | |
| cdef const float[::1] Y | |
| cdef const float[::1] 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 const int[::1] feature_indices | |
| cdef int *feature_indices_ptr | |
| cdef float *sample_weight_data | |
| cdef class CSRDataset32(SequentialDataset32): | |
| cdef const float[::1] X_data | |
| cdef const int[::1] X_indptr | |
| cdef const int[::1] X_indices | |
| cdef const float[::1] Y | |
| cdef const float[::1] 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 | |