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

predictive_mean changed to predictive_values

Browse source
This commit is contained in:
Ricardo Andrade 2013-01-31 14:43:32 +00:00
parent 451ff74015
commit 9feae765dc
2 changed files with 25 additions and 66 deletions
Download patch file Download diff file Expand all files Collapse all files

7
GPy/models/GP.py
View file

@ -215,11 +215,10 @@ class GP(model):
if self.X.shape[1]==1:
Xnew = np.linspace(xmin,xmax,resolution or 200)[:,None]
m,v,phi = self.predict(Xnew,slices=which_functions,full_cov=full_cov)
m,v = self.predict(Xnew,slices=which_functions,full_cov=full_cov)
if self.EP:
pb.subplot(211)
gpplot(Xnew,m,v)
if samples: #NOTE why don't we put samples as a parameter of gpplot
s = np.random.multivariate_normal(m.flatten(),np.diag(v.flatten()),samples)
pb.plot(Xnew.flatten(),s.T, alpha = 0.4, c='#3465a4', linewidth = 0.8)
@ -227,9 +226,7 @@ class GP(model):
pb.xlim(xmin,xmax)
if self.EP:
pb.subplot(212)
self.likelihood.plot(Xnew,m,v,phi,self.X,samples=samples)
pb.xlim(xmin,xmax)
phi_m, phi_v, phi_l, phi_u = self.likelihood.predictive_values(m,v)
elif self.X.shape[1]==2:
resolution = 50 or resolution