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array core and bgplvm working > changes due to __i<op>__ will now be reported

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This commit is contained in:
Max Zwiessele 2014-02-11 16:54:33 +00:00
parent 4cfc13d5fc
commit 9d262936c6
10 changed files with 177 additions and 54 deletions
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10
GPy/models/bayesian_gplvm.py
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@ -71,17 +71,17 @@ class BayesianGPLVM(SparseGP, GPLVM):
def parameters_changed(self):
super(BayesianGPLVM, self).parameters_changed()
#self._log_marginal_likelihood -= self.KL_divergence()
self._log_marginal_likelihood -= self.KL_divergence()
dL_dmu, dL_dS = self.dL_dmuS()
# dL:
self.q.means.gradient = dL_dmu
self.q.variances.gradient = dL_dS
self.q.mean.gradient = dL_dmu
self.q.variance.gradient = dL_dS
# dKL:
#self.q.means.gradient -= self.X
#self.q.variances.gradient -= (1. - (1. / (self.X_variance))) * 0.5
self.q.mean.gradient -= self.X
self.q.variance.gradient -= (1. - (1. / (self.X_variance))) * 0.5
def plot_latent(self, plot_inducing=True, *args, **kwargs):
"""

2
GPy/models/sparse_gp_regression.py
View file

@ -32,7 +32,7 @@ class SparseGPRegression(SparseGP):
# kern defaults to rbf (plus white for stability)
if kernel is None:
kernel = kern.rbf(input_dim) + kern.white(input_dim, variance=1e-3)
kernel = kern.rbf(input_dim)# + kern.white(input_dim, variance=1e-3)
# Z defaults to a subset of the data
if Z is None: