apunkt/GPy
1
0
Fork 0
mirror of https://github.com/SheffieldML/GPy.git synced 2026-05-06 10:32:39 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions

parameterized now supports deleting of parameters

Browse source
This commit is contained in:
Max Zwiessele 2014-02-21 17:53:44 +00:00
parent 2da256fa93
commit 659643038f
12 changed files with 113 additions and 83 deletions
Download patch file Download diff file Expand all files Collapse all files

34
GPy/plotting/matplot_dep/kernel_plots.py
View file

@ -1,7 +1,6 @@
# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import sys
import numpy as np
import pylab as pb
import Tango
@ -29,22 +28,23 @@ def plot_ARD(kernel, fignum=None, ax=None, title='', legend=False):
xticklabels = []
bars = []
x0 = 0
for p in kernel._parameters_:
c = Tango.nextMedium()
if hasattr(p, 'ARD') and p.ARD:
if title is None:
ax.set_title('ARD parameters, %s kernel' % p.name)
else:
ax.set_title(title)
if isinstance(p, Linear):
ard_params = p.variances
else:
ard_params = 1. / p.lengthscale
x = np.arange(x0, x0 + len(ard_params))
bars.append(ax.bar(x, ard_params, align='center', color=c, edgecolor='k', linewidth=1.2, label=p.name.replace("_"," ")))
xticklabels.extend([r"$\mathrm{{{name}}}\ {x}$".format(name=p.name, x=i) for i in np.arange(len(ard_params))])
x0 += len(ard_params)
#for p in kernel._parameters_:
p = kernel
c = Tango.nextMedium()
if hasattr(p, 'ARD') and p.ARD:
if title is None:
ax.set_title('ARD parameters, %s kernel' % p.name)
else:
ax.set_title(title)
if isinstance(p, Linear):
ard_params = p.variances
else:
ard_params = 1. / p.lengthscale
x = np.arange(x0, x0 + len(ard_params))
from ...util.misc import param_to_array
bars.append(ax.bar(x, param_to_array(ard_params), align='center', color=c, edgecolor='k', linewidth=1.2, label=p.name.replace("_"," ")))
xticklabels.extend([r"$\mathrm{{{name}}}\ {x}$".format(name=p.name, x=i) for i in np.arange(len(ard_params))])
x0 += len(ard_params)
x = np.arange(x0)
transOffset = offset_copy(ax.transData, fig=fig,
x=0., y= -2., units='points')