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added gplbm and sparse gp to new parameterized structure
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13 changed files with 106 additions and 96 deletions
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@ -36,7 +36,7 @@ class GPLVM(GP):
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likelihood = Gaussian(Y, normalize=normalize_Y, variance=np.exp(-2.))
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GP.__init__(self, X, likelihood, kernel, normalize_X=False)
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self.X = Param('q_mean', self.X)
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self.add_parameter(self.X, self.dL_dK, 0)
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self.add_parameter(self.X, self.dK_dX, 0)
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#self.set_prior('.*X', Gaussian_prior(0, 1))
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self.ensure_default_constraints()
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