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corrected bugs in learn-pois.py
author Nicolas Saunier <nicolas.saunier@polymtl.ca>
date Wed, 28 Jun 2017 23:43:52 -0400
parents 1cd878812529
children 13434f5017dd
comparison
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913:1cd878812529 914:f228fd649644
272 if fig is None: 272 if fig is None:
273 fig = plt.figure() 273 fig = plt.figure()
274 tmpDataset = dataset/nUnitsPerPixel 274 tmpDataset = dataset/nUnitsPerPixel
275 for i in xrange(model.n_components): 275 for i in xrange(model.n_components):
276 mean = model.means_[i]/nUnitsPerPixel 276 mean = model.means_[i]/nUnitsPerPixel
277 covariance = model.covars_[i]/nUnitsPerPixel 277 covariance = model.covariances_[i]/nUnitsPerPixel
278 if dataset is not None: 278 if dataset is not None:
279 plt.scatter(tmpDataset[labels == i, 0], tmpDataset[labels == i, 1], .8, color=colors[i]) 279 plt.scatter(tmpDataset[labels == i, 0], tmpDataset[labels == i, 1], .8, color=colors[i])
280 plt.annotate(str(i), xy=(mean[0]+1, mean[1]+1)) 280 plt.annotate(str(i), xy=(mean[0]+1, mean[1]+1))
281 281
282 # Plot an ellipse to show the Gaussian component 282 # Plot an ellipse to show the Gaussian component