apunkt/GPy
1
0
Fork 0
mirror of https://github.com/SheffieldML/GPy.git synced 2026-05-06 02:24:17 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions

add truncated linear kernel

Browse source
This commit is contained in:
Zhenwen Dai 2014-06-16 10:14:41 +01:00
parent c2a1ea9cbd
commit 0b75aa8b0f
4 changed files with 219 additions and 5 deletions
Download patch file Download diff file Expand all files Collapse all files

13
GPy/plotting/matplot_dep/visualize.py
View file

@ -280,8 +280,11 @@ class image_show(matplotlib_show):
:param preset_mean: the preset mean of a scaled image.
:type preset_mean: double
:param preset_std: the preset standard deviation of a scaled image.
:type preset_std: double"""
def __init__(self, vals, axes=None, dimensions=(16,16), transpose=False, order='C', invert=False, scale=False, palette=[], preset_mean=0., preset_std=1., select_image=0):
:type preset_std: double
:param cmap: the colormap for image visualization
:type cmap: matplotlib.cm"""
def __init__(self, vals, axes=None, dimensions=(16,16), transpose=False, order='C', invert=False, scale=False, palette=[], preset_mean=0., preset_std=1., select_image=0, cmap=None):
matplotlib_show.__init__(self, vals, axes)
self.dimensions = dimensions
self.transpose = transpose
@ -296,8 +299,10 @@ class image_show(matplotlib_show):
self.set_image(self.vals)
if not self.palette == []: # Can just show the image (self.set_image() took care of setting the palette)
self.handle = self.axes.imshow(self.vals, interpolation='nearest')
else: # Use a boring gray map.
self.handle = self.axes.imshow(self.vals, cmap=plt.cm.gray, interpolation='nearest') # @UndefinedVariable
elif cmap==None: # Use a jet map.
self.handle = self.axes.imshow(self.vals, cmap=plt.cm.jet, interpolation='nearest') # @UndefinedVariable
else: # Use the selected map.
self.handle = self.axes.imshow(self.vals, cmap=cmap, interpolation='nearest') # @UndefinedVariable
plt.show()
def modify(self, vals):