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[plotting] added plotting for missing data

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mzwiessele 2016-03-10 13:14:25 +00:00
parent 29a81c72c1
commit 452c662084
1 changed files with 7 additions and 1 deletions
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8
GPy/plotting/gpy_plot/latent_plots.py
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@ -147,6 +147,7 @@ def _plot_magnification(self, canvas, which_indices, Xgrid,
def plot_function(x): def plot_function(x):
Xtest_full = np.zeros((x.shape[0], Xgrid.shape[1])) Xtest_full = np.zeros((x.shape[0], Xgrid.shape[1]))
Xtest_full[:, which_indices] = x Xtest_full[:, which_indices] = x
mf = self.predict_magnification(Xtest_full, kern=kern, mean=mean, covariance=covariance) mf = self.predict_magnification(Xtest_full, kern=kern, mean=mean, covariance=covariance)
return mf.reshape(resolution, resolution).T return mf.reshape(resolution, resolution).T
imshow_kwargs = update_not_existing_kwargs(imshow_kwargs, pl().defaults.magnification) imshow_kwargs = update_not_existing_kwargs(imshow_kwargs, pl().defaults.magnification)
@ -215,7 +216,12 @@ def _plot_latent(self, canvas, which_indices, Xgrid,
def plot_function(x): def plot_function(x):
Xtest_full = np.zeros((x.shape[0], Xgrid.shape[1])) Xtest_full = np.zeros((x.shape[0], Xgrid.shape[1]))
Xtest_full[:, which_indices] = x Xtest_full[:, which_indices] = x
mf = np.log(self.predict(Xtest_full, kern=kern)[1]) mf = self.predict(Xtest_full, kern=kern)[1]
if mf.shape[1]==self.output_dim:
mf = mf.sum(-1)
else:
mf *= self.output_dim
mf = np.log(mf)
return mf.reshape(resolution, resolution).T return mf.reshape(resolution, resolution).T
imshow_kwargs = update_not_existing_kwargs(imshow_kwargs, pl().defaults.latent) imshow_kwargs = update_not_existing_kwargs(imshow_kwargs, pl().defaults.latent)