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added Brownian motion

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This commit is contained in:
James Hensman 2014-02-21 12:25:36 +00:00
parent 0dc9a32ba3
commit 365bc42140
6 changed files with 65 additions and 83 deletions
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8
GPy/plotting/matplot_dep/models_plots.py
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@ -92,11 +92,11 @@ def plot_fit(model, plot_limits=None, which_data_rows='all',
ax.plot(Xnew, yi[:,None], Tango.colorsHex['darkBlue'], linewidth=0.25)
#ax.plot(Xnew, yi[:,None], marker='x', linestyle='--',color=Tango.colorsHex['darkBlue']) #TODO apply this line for discrete outputs.
#add error bars for uncertain (if input uncertainty is being modelled)
if hasattr(model,"has_uncertain_inputs"):
ax.errorbar(model.X[which_data, free_dims], model.likelihood.data[which_data, 0],
xerr=2 * np.sqrt(model.X_variance[which_data, free_dims]),
if hasattr(model,"has_uncertain_inputs") and model.has_uncertain_inputs():
ax.errorbar(model.X[which_data_rows, free_dims], model.Y[which_data_rows, which_data_ycols],
xerr=2 * np.sqrt(model.X_variance[which_data_rows, free_dims]),
ecolor='k', fmt=None, elinewidth=.5, alpha=.5)