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changes for coregionalized models

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This commit is contained in:
Ricardo 2014-03-12 12:45:53 +00:00
parent 272afabda7
commit e858a0bdc3
1 changed files with 10 additions and 3 deletions
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13
GPy/plotting/matplot_dep/models_plots.py
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@ -56,8 +56,8 @@ def plot_fit(model, plot_limits=None, which_data_rows='all',
if ax is None:
fig = pb.figure(num=fignum)
ax = fig.add_subplot(111)
if hasattr(model, 'has_uncertain_inputs') and model.has_uncertain_inputs():
if hasattr(model, 'has_uncertain_inputs') and model.has_uncertain_inputs():
X = model.X.mean
X_variance = param_to_array(model.X.variance)
else:
@ -86,7 +86,14 @@ def plot_fit(model, plot_limits=None, which_data_rows='all',
upper = m + 2*np.sqrt(v)
Y = Y
else:
m, v, lower, upper = model.predict(Xgrid)
if 'noise_index' in model.Y_metadata.keys():
if np.unique(model.Y_metadata['noise_index'][which_data_rows]).size > 1:
print "Data slices choosen have different noise models. Just one will be used."
noise_index = np.repeat(model.Y_metadata['noise_index'][which_data_rows][0], Xgrid.shape[0])[:,None]
m, v, lower, upper = model.predict(Xgrid,full_cov=False,noise_index=noise_index)
else:
noise_index = None
m, v, lower, upper = model.predict(Xgrid,full_cov=False)
Y = Y
for d in which_data_ycols:
gpplot(Xnew, m[:, d], lower[:, d], upper[:, d], ax=ax, edgecol=linecol, fillcol=fillcol)