apunkt/GPy
1
0
Fork 0
mirror of https://github.com/SheffieldML/GPy.git synced 2026-05-10 12:32:40 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions

Merge branch 'devel' of github.com:SheffieldML/GPy into devel

Browse source
This commit is contained in:
Andreas 2013-07-17 18:18:07 +01:00
commit 3de342506f
3 changed files with 67 additions and 11 deletions
Download patch file Download diff file Expand all files Collapse all files

4
GPy/examples/dimensionality_reduction.py
View file

@ -161,7 +161,7 @@ def BGPLVM_oil(optimize=True, N=200, Q=10, num_inducing=15, max_iters=150, plot=
# optimize
if optimize:
m.constrain_fixed('noise')
m.optimize('scg', messages=1, max_iters=100, gtol=.05)
m.optimize('scg', messages=1, max_iters=200, gtol=.05)
m.constrain_positive('noise')
m.optimize('scg', messages=1, max_iters=max_iters, gtol=.05)
@ -277,7 +277,6 @@ def bgplvm_simulation(optimize='scg',
from GPy import kern
reload(mrd); reload(kern)
Y = Ylist[0]
k = kern.linear(Q, ARD=True) + kern.bias(Q, np.exp(-2)) + kern.white(Q, np.exp(-2)) # + kern.bias(Q)
@ -286,7 +285,6 @@ def bgplvm_simulation(optimize='scg',
# m.constrain('variance|noise', logexp_clipped())
m['noise'] = Y.var() / 100.
if optimize:
print "Optimizing model:"
m.optimize(optimize, max_iters=max_iters,