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allowed GP models to plot multiple outputs (in 1D at least)

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James Hensman 2013-05-14 15:59:10 +01:00
parent 4bbf31eb1d
commit 8dcd197436
1 changed files with 3 additions and 2 deletions
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5
GPy/models/GP.py
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@ -253,8 +253,9 @@ class GP(model):
Xnew, xmin, xmax = x_frame1D(Xu, plot_limits=plot_limits) Xnew, xmin, xmax = x_frame1D(Xu, plot_limits=plot_limits)
m, var, lower, upper = self.predict(Xnew, which_parts=which_parts) m, var, lower, upper = self.predict(Xnew, which_parts=which_parts)
gpplot(Xnew, m, lower, upper) for d in range(m.shape[1]):
pb.plot(Xu[which_data], self.likelihood.data[which_data], 'kx', mew=1.5) gpplot(Xnew, m[:,d], lower[:,d], upper[:,d])
pb.plot(Xu[which_data], self.likelihood.data[which_data,d], 'kx', mew=1.5)
if self.has_uncertain_inputs: if self.has_uncertain_inputs:
pb.errorbar(Xu[which_data, 0], self.likelihood.data[which_data, 0], pb.errorbar(Xu[which_data, 0], self.likelihood.data[which_data, 0],
xerr=2 * np.sqrt(self.X_variance[which_data, 0]), xerr=2 * np.sqrt(self.X_variance[which_data, 0]),