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[kernel] plotting ard for prod and covariance plots added

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mzwiessele 2015-10-12 13:12:03 +01:00
parent 59ba858aba
commit 12dba962f1
13 changed files with 130 additions and 116 deletions
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11
GPy/testing/plotting_tests.py
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@ -143,13 +143,16 @@ def test_kernel():
matplotlib.rcParams.update(matplotlib.rcParamsDefault)
matplotlib.rcParams[u'figure.figsize'] = (4,3)
matplotlib.rcParams[u'text.usetex'] = False
k = GPy.kern.RBF(5, ARD=True) + GPy.kern.Linear(3, active_dims=[0,2,4], ARD=True) + GPy.kern.Bias(2)
k = GPy.kern.RBF(5, ARD=True) * GPy.kern.Linear(3, active_dims=[0,2,4], ARD=True) + GPy.kern.Bias(2)
k.randomize()
k2 = GPy.kern.RBF(5, ARD=True) + GPy.kern.Linear(3, active_dims=[0,2,4], ARD=True) + GPy.kern.Bias(2) + GPy.kern.White(4)
k2 = GPy.kern.RBF(5, ARD=True) * GPy.kern.Linear(3, active_dims=[0,2,4], ARD=True) + GPy.kern.Bias(2) + GPy.kern.White(4)
k2[:-1] = k[:]
k2.plot_ARD([_.name for _ in k.parts], legend=True)
k2.plot_ARD(['rbf', 'linear', 'bias'], legend=True)
k2.plot_covariance(visible_dims=[0, 3], plot_limits=(-1,3))
k2.plot_covariance(visible_dims=[2], plot_limits=(-1, 3))
k2.plot_covariance(visible_dims=[2, 4], plot_limits=((-1, 0), (5, 3)), projection='3d')
for do_test in _image_comparison(
baseline_images=['kern_{}'.format(sub) for sub in ["ARD",]],
baseline_images=['kern_{}'.format(sub) for sub in ["ARD", 'cov_2d', 'cov_1d', 'cov_3d']],
extensions=extensions):
yield (do_test, )