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psi stat expectations with slices

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Max Zwiessele 2014-03-12 12:03:25 +00:00
parent 02bce95c41
commit dfb63860ca
1 changed files with 5 additions and 4 deletions
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9
GPy/testing/psi_stat_expectation_tests.py
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@ -34,10 +34,11 @@ class Test(unittest.TestCase):
def setUp(self):
self.kerns = (
GPy.kern.RBF([0,1,2], ARD=True)+GPy.kern.Bias(self.input_dim)+GPy.kern.White(self.input_dim),
GPy.kern.RBF(self.input_dim)+GPy.kern.Bias(self.input_dim)+GPy.kern.White(self.input_dim),
GPy.kern.Linear(self.input_dim) + GPy.kern.Bias(self.input_dim) + GPy.kern.White(self.input_dim),
GPy.kern.Linear(self.input_dim, ARD=True) + GPy.kern.Bias(self.input_dim) + GPy.kern.White(self.input_dim),
#GPy.kern.RBF([0,1,2], ARD=True)+GPy.kern.Bias(self.input_dim)+GPy.kern.White(self.input_dim),
#GPy.kern.RBF(self.input_dim)+GPy.kern.Bias(self.input_dim)+GPy.kern.White(self.input_dim),
#GPy.kern.Linear(self.input_dim) + GPy.kern.Bias(self.input_dim) + GPy.kern.White(self.input_dim),
#GPy.kern.Linear(self.input_dim, ARD=True) + GPy.kern.Bias(self.input_dim) + GPy.kern.White(self.input_dim),
GPy.kern.Linear([1,3,6,7], ARD=True) + GPy.kern.RBF([0,5,8], ARD=True) + GPy.kern.White(self.input_dim),
)
self.q_x_mean = np.random.randn(self.input_dim)[None]
self.q_x_variance = np.exp(.5*np.random.randn(self.input_dim))[None]