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#cython: boundscheck=False
#cython: cdivision=True
#cython: wraparound=False
from libc.math cimport log, exp
import numpy as np
cimport numpy as np
ctypedef np.float64_t DTYPE_t
cdef DTYPE_t _inner_log_logistic_sigmoid(DTYPE_t x):
"""Log of the logistic sigmoid function log(1 / (1 + e ** -x))"""
if x > 0:
return -log(1 + exp(-x))
else:
return x - log(1 + exp(x))
def _log_logistic_sigmoid(int n_samples, int n_features,
np.ndarray[DTYPE_t, ndim=2] X,
np.ndarray[DTYPE_t, ndim=2] out):
for i in range(n_samples):
for j in range(n_features):
out[i, j] = _inner_log_logistic_sigmoid(X[i, j])
return out
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