apunkt/GPy
1
0
Fork 0
mirror of https://github.com/SheffieldML/GPy.git synced 2026-05-24 14:15:14 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions

bug fix (kernel copy) in mrd

Browse source
This commit is contained in:
Max Zwiessele 2013-05-22 17:39:27 +01:00
parent 3e7b833d0f
commit 8f5d577bbb
4 changed files with 12 additions and 12 deletions
Download patch file Download diff file Expand all files Collapse all files

6
GPy/examples/dimensionality_reduction.py
View file

@ -278,7 +278,7 @@ def bgplvm_simulation(optimize='scg',
return m
def mrd_simulation(optimize=True, plot_sim=False, **kw):
D1, D2, D3, N, M, Q = 15, 8, 8, 100, 3, 7
D1, D2, D3, N, M, Q = 150, 200, 400, 700, 3, 7
slist, Slist, Ylist = _simulate_sincos(D1, D2, D3, N, M, Q, plot_sim)
from GPy.models import mrd
@ -288,12 +288,12 @@ def mrd_simulation(optimize=True, plot_sim=False, **kw):
reload(mrd); reload(kern)
k = kern.linear(Q, [0.01] * Q, True) + kern.bias(Q, np.exp(-2)) + kern.white(Q, np.exp(-2))
m = mrd.MRD(Ylist, Q=Q, M=M, kernel=k, initx="concat", initz='permute', **kw)
m = mrd.MRD(Ylist, Q=Q, M=M, kernels=k, initx="concat", initz='permute', **kw)
for i, Y in enumerate(Ylist):
m['{}_noise'.format(i + 1)] = Y.var() / 100.
m.constrain('variance|noise', logexp_clipped())
# m.constrain('variance|noise', logexp_clipped(1e-6))
m.ensure_default_constraints()
# DEBUG