3RNN/Lib/site-packages/sklearn/ensemble/_hist_gradient_boosting/common.pxd
2024-05-26 19:49:15 +02:00

44 lines
1.2 KiB
Cython

from ...utils._typedefs cimport float32_t, float64_t, intp_t, uint8_t, uint32_t
ctypedef float64_t X_DTYPE_C
ctypedef uint8_t X_BINNED_DTYPE_C
ctypedef float64_t Y_DTYPE_C
ctypedef float32_t G_H_DTYPE_C
ctypedef uint32_t BITSET_INNER_DTYPE_C
ctypedef BITSET_INNER_DTYPE_C[8] BITSET_DTYPE_C
cdef packed struct hist_struct:
# Same as histogram dtype but we need a struct to declare views. It needs
# to be packed since by default numpy dtypes aren't aligned
Y_DTYPE_C sum_gradients
Y_DTYPE_C sum_hessians
unsigned int count
cdef packed struct node_struct:
# Equivalent struct to PREDICTOR_RECORD_DTYPE to use in memory views. It
# needs to be packed since by default numpy dtypes aren't aligned
Y_DTYPE_C value
unsigned int count
intp_t feature_idx
X_DTYPE_C num_threshold
unsigned char missing_go_to_left
unsigned int left
unsigned int right
Y_DTYPE_C gain
unsigned int depth
unsigned char is_leaf
X_BINNED_DTYPE_C bin_threshold
unsigned char is_categorical
# The index of the corresponding bitsets in the Predictor's bitset arrays.
# Only used if is_categorical is True
unsigned int bitset_idx
cpdef enum MonotonicConstraint:
NO_CST = 0
POS = 1
NEG = -1