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1D inducing inputs modified for coregionalized models

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Ricardo 2014-03-18 16:04:01 +00:00
parent 1a0e16a6f3
commit 31ad9b73bf
1 changed files with 2 additions and 0 deletions
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GPy/plotting/matplot_dep/models_plots.py
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@ -123,6 +123,8 @@ def plot_fit(model, plot_limits=None, which_data_rows='all',
#add inducing inputs (if a sparse model is used)
if hasattr(model,"Z"):
#Zu = model.Z[:,free_dims] * model._Xscale[:,free_dims] + model._Xoffset[:,free_dims]
if isinstance(model,SparseGPCoregionalizedRegression):
Z = Z[Z[:,-1] == Y_metadata['output_index'],:]
Zu = Z[:,free_dims]
z_height = ax.get_ylim()[0]
plots['inducing_inputs'] = ax.plot(Zu, np.zeros_like(Zu) + z_height, 'r|', mew=1.5, markersize=12)