added gplbm and sparse gp to new parameterized structure

This commit is contained in:
Max Zwiessele 2013-11-06 11:40:54 +00:00
parent c8eac84d55
commit 3316d29341
13 changed files with 106 additions and 96 deletions

View file

@ -36,7 +36,7 @@ class GPLVM(GP):
likelihood = Gaussian(Y, normalize=normalize_Y, variance=np.exp(-2.))
GP.__init__(self, X, likelihood, kernel, normalize_X=False)
self.X = Param('q_mean', self.X)
self.add_parameter(self.X, self.dL_dK, 0)
self.add_parameter(self.X, self.dK_dX, 0)
#self.set_prior('.*X', Gaussian_prior(0, 1))
self.ensure_default_constraints()