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visual?

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Max Zwiessele 2013-08-02 16:38:34 +01:00
parent f690da943a
commit d66a8e02a5
1 changed files with 6 additions and 6 deletions
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12
GPy/util/visualize.py
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@ -5,7 +5,7 @@ import numpy as np
import matplotlib as mpl
import time
import Image
#import visual
# import visual
class data_show:
"""
@ -148,15 +148,15 @@ class lvm(matplotlib_show):
# A click in the bar chart axis for selection a dimension.
if self.sense_axes != None:
self.sense_axes.cla()
self.sense_axes.bar(np.arange(self.model.input_dim),1./self.model.input_sensitivity(),color='b')
self.sense_axes.bar(np.arange(self.model.input_dim), self.model.input_sensitivity(), color='b')
if self.latent_index[1] == self.latent_index[0]:
self.sense_axes.bar(np.array(self.latent_index[0]),1./self.model.input_sensitivity()[self.latent_index[0]],color='y')
self.sense_axes.bar(np.array(self.latent_index[1]),1./self.model.input_sensitivity()[self.latent_index[1]],color='y')
self.sense_axes.bar(np.array(self.latent_index[0]), self.model.input_sensitivity()[self.latent_index[0]], color='y')
self.sense_axes.bar(np.array(self.latent_index[1]), self.model.input_sensitivity()[self.latent_index[1]], color='y')
else:
self.sense_axes.bar(np.array(self.latent_index[0]),1./self.model.input_sensitivity()[self.latent_index[0]],color='g')
self.sense_axes.bar(np.array(self.latent_index[1]),1./self.model.input_sensitivity()[self.latent_index[1]],color='r')
self.sense_axes.bar(np.array(self.latent_index[0]), self.model.input_sensitivity()[self.latent_index[0]], color='g')
self.sense_axes.bar(np.array(self.latent_index[1]), self.model.input_sensitivity()[self.latent_index[1]], color='r')
self.sense_axes.figure.canvas.draw()