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Merge branch 'devel' of https://github.com/SheffieldML/GPy into devel

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Neil Lawrence 2014-05-13 05:23:43 +01:00
commit c138ee868f
10 changed files with 114 additions and 45 deletions
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15
GPy/plotting/matplot_dep/visualize.py
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@ -74,13 +74,16 @@ class vector_show(matplotlib_show):
"""
def __init__(self, vals, axes=None):
matplotlib_show.__init__(self, vals, axes)
self.handle = self.axes.plot(np.arange(0, len(vals))[:, None], self.vals)
#assert vals.ndim == 2, "Please give a vector in [n x 1] to plot"
#assert vals.shape[1] == 1, "only showing a vector in one dimension"
self.size = vals.size
self.handle = self.axes.plot(np.arange(0, vals.size)[:, None], vals)[0]
def modify(self, vals):
self.vals = vals.copy()
for handle, vals in zip(self.handle, self.vals.T):
xdata, ydata = handle.get_data()
handle.set_data(xdata, vals)
xdata, ydata = self.handle.get_data()
assert vals.size == self.size, "values passed into modify changed size! vals.size:{} != in.size:{}".format(vals.size, self.size)
self.handle.set_data(xdata, self.vals)
self.axes.figure.canvas.draw()
@ -94,12 +97,12 @@ class lvm(matplotlib_show):
:type data_visualize: visualize.data_show type.
:param latent_axes: the axes where the latent visualization should be plotted.
"""
if vals == None:
if vals is None:
if isinstance(model.X, VariationalPosterior):
vals = param_to_array(model.X.mean)
else:
vals = param_to_array(model.X)
vals = param_to_array(vals)
matplotlib_show.__init__(self, vals, axes=latent_axes)