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[plotting] latent plotting had dimension mix up in it

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mzwiessele 2015-11-30 18:02:46 +00:00
parent 389b99f0ce
commit 51964aac39
12 changed files with 3 additions and 1 deletions
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4
GPy/testing/plotting_tests.py
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@ -311,7 +311,7 @@ def test_gplvm():
from ..examples.dimensionality_reduction import _simulate_matern
from ..kern import RBF
from ..models import GPLVM
np.random.seed(12345)
np.random.seed(1234)
matplotlib.rcParams.update(matplotlib.rcParamsDefault)
matplotlib.rcParams[u'figure.figsize'] = (4,3)
matplotlib.rcParams[u'text.usetex'] = False
@ -331,6 +331,7 @@ def test_gplvm():
k = RBF(Q, ARD=True, lengthscale=2) # + kern.white(Q, _np.exp(-2)) # + kern.bias(Q)
m = GPLVM(Y, Q, init="PCA", kernel=k)
m.kern.lengthscale[:] = [1./.3, 1./.1, 1./.7]
m.likelihood.variance = .001
#m.optimize(messages=0)
np.random.seed(111)
@ -367,6 +368,7 @@ def test_bayesian_gplvm():
k = RBF(Q, ARD=True, lengthscale=2) # + kern.white(Q, _np.exp(-2)) # + kern.bias(Q)
m = BayesianGPLVM(Y, Q, init="PCA", kernel=k)
m.kern.lengthscale[:] = [1./.3, 1./.1, 1./.7]
m.likelihood.variance = .001
#m.optimize(messages=0)
np.random.seed(111)