apunkt/GPy
1
0
Fork 0
mirror of https://github.com/SheffieldML/GPy.git synced 2026-05-30 14:35:15 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions

Used scipy.log1p since it gives more consistent results cross-platform

Browse source
This commit is contained in:
Mike Croucher 2015-09-07 16:23:10 +01:00
parent b837525baa
commit fb444d8933
1 changed files with 3 additions and 2 deletions
Download patch file Download diff file Expand all files Collapse all files

5
GPy/likelihoods/link_functions.py
View file

@ -2,6 +2,7 @@
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import numpy as np
import scipy
from ..util.univariate_Gaussian import std_norm_cdf, std_norm_pdf
import scipy as sp
from ..util.misc import safe_exp, safe_square, safe_cube, safe_quad, safe_three_times
@ -67,7 +68,7 @@ class Probit(GPTransformation):
.. math::
g(f) = \\Phi^{-1} (mu)
"""
def transf(self,f):
return std_norm_cdf(f)
@ -140,7 +141,7 @@ class Log_ex_1(GPTransformation):
"""
def transf(self,f):
return np.log1p(safe_exp(f))
return scipy.log1p(safe_exp(f))
def dtransf_df(self,f):
ef = safe_exp(f)