apunkt/GPy
1
0
Fork 0
mirror of https://github.com/SheffieldML/GPy.git synced 2026-05-18 13:55:14 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions

Sparse GP with EP is working now

Browse source
This commit is contained in:
Ricardo Andrade 2013-03-06 15:43:58 +00:00
parent f2ce47d96e
commit c6f2082839
4 changed files with 78 additions and 46 deletions
Download patch file Download diff file Expand all files Collapse all files

4
GPy/likelihoods/likelihood_functions.py
View file

@ -37,8 +37,8 @@ class probit(likelihood_function):
:param tau_i: precision of the cavity distribution (float)
:param v_i: mean/variance of the cavity distribution (float)
"""
# TODO: some version of assert np.sum(np.abs(Y)-1) == 0, "Output values must be either -1 or 1"
if data_i == 0: data_i = -1 #NOTE Binary classification works better classes {-1,1}, 1D-plotting works better with classes {0,1}.
if data_i == 0: data_i = -1 #NOTE Binary classification algorithm works better with classes {-1,1}, 1D-plotting works better with classes {0,1}.
# TODO: some version of assert
z = data_i*v_i/np.sqrt(tau_i**2 + tau_i)
Z_hat = stats.norm.cdf(z)
phi = stats.norm.pdf(z)