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Made openmp switch in only dependent on potion in rbf.py and linear.py

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This commit is contained in:
Neil Lawrence 2014-05-13 05:23:36 +01:00
parent 169e81702d
commit 2256127130
7 changed files with 122 additions and 48 deletions
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2
GPy/plotting/matplot_dep/dim_reduction_plots.py
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@ -97,7 +97,7 @@ def plot_latent(model, labels=None, which_indices=None,
elif type(ul) is np.int64:
this_label = 'class %i' % ul
else:
this_label = 'class %i' % i
this_label = unicode(i)
m = marker.next()
index = np.nonzero(labels == ul)[0]

4
GPy/plotting/matplot_dep/models_plots.py
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@ -14,7 +14,7 @@ def plot_fit(model, plot_limits=None, which_data_rows='all',
which_data_ycols='all', fixed_inputs=[],
levels=20, samples=0, fignum=None, ax=None, resolution=None,
plot_raw=False,
linecol=Tango.colorsHex['darkBlue'],fillcol=Tango.colorsHex['lightBlue'], Y_metadata=None):
linecol=Tango.colorsHex['darkBlue'],fillcol=Tango.colorsHex['lightBlue'], Y_metadata=None, data_symbol='kx'):
"""
Plot the posterior of the GP.
- In one dimension, the function is plotted with a shaded region identifying two standard deviations.
@ -97,7 +97,7 @@ def plot_fit(model, plot_limits=None, which_data_rows='all',
for d in which_data_ycols:
plots['gpplot'] = gpplot(Xnew, m[:, d], lower[:, d], upper[:, d], ax=ax, edgecol=linecol, fillcol=fillcol)
plots['dataplot'] = ax.plot(X[which_data_rows,free_dims], Y[which_data_rows, d], 'kx', mew=1.5)
plots['dataplot'] = ax.plot(X[which_data_rows,free_dims], Y[which_data_rows, d], data_symbol, mew=1.5)
#optionally plot some samples
if samples: #NOTE not tested with fixed_inputs