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minor bugfixes in plotting: quantiles are now computed using predict_kw

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correctly
This commit is contained in:
James Hensman 2015-08-18 08:00:47 +01:00
parent 097b048100
commit ea3bfbb597
4 changed files with 9 additions and 5 deletions
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3
GPy/plotting/matplot_dep/models_plots.py
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@ -110,7 +110,8 @@ def plot_fit(model, plot_limits=None, which_data_rows='all',
else:
Y_metadata['output_index'] = extra_data
m, v = model.predict(Xgrid, full_cov=False, Y_metadata=Y_metadata, **predict_kw)
lower, upper = model.predict_quantiles(Xgrid, Y_metadata=Y_metadata)
fmu, fv = model._raw_predict(Xgrid, full_cov=False, **predict_kw)
lower, upper = model.likelihood.predictive_quantiles(fmu, fv, (2.5, 97.5), Y_metadata=Y_metadata)
for d in which_data_ycols: