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[newest patch updates, cleaned interfaces and mean_function addidtions]

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mzwiessele 2015-09-30 14:43:04 +01:00
parent 75ccd468ef
commit 71bc90bf98
6 changed files with 28 additions and 18 deletions
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14
GPy/plotting/matplot_dep/models_plots.py
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@ -230,10 +230,16 @@ def plot_fit(model, plot_limits=None, which_data_rows='all',
ecolor='k', fmt=None, elinewidth=.5, alpha=.5)
#set the limits of the plot to some sensible values
ymin, ymax = min(np.append(Y[which_data_rows, which_data_ycols].flatten(), lower)), max(np.append(Y[which_data_rows, which_data_ycols].flatten(), upper))
ymin, ymax = ymin - 0.1 * (ymax - ymin), ymax + 0.1 * (ymax - ymin)
ax.set_xlim(xmin, xmax)
ax.set_ylim(ymin, ymax)
try:
ymin, ymax = min(np.append(Y[which_data_rows, which_data_ycols].flatten(), lower)), max(np.append(Y[which_data_rows, which_data_ycols].flatten(), upper))
if ymin != ymax:
ymin, ymax = ymin - 0.1 * (ymax - ymin), ymax + 0.1 * (ymax - ymin)
ax.set_xlim(xmin, xmax)
ax.set_ylim(ymin, ymax)
except:
# do nothing
# No training data on model
pass
#add inducing inputs (if a sparse model is used)
if hasattr(model,"Z"):