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fixed the posterior prediction for laplace

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The mis-match between the woodbury vector and KIf is still a bit of a
mystery
This commit is contained in:
James Hensman 2014-03-13 16:03:19 +00:00
parent b7508ce12b
commit f0d97f5b84
2 changed files with 5 additions and 3 deletions
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4
GPy/likelihoods/student_t.py
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@ -27,9 +27,9 @@ class StudentT(Likelihood):
super(StudentT, self).__init__(gp_link, name='Student_T')
self.sigma2 = Param('t_noise', float(sigma2))
self.sigma2 = Param('t_noise', float(sigma2), Logexp())
self.v = Param('deg_free', float(deg_free))
self.add_parameter(self.sigma2, Logexp())
self.add_parameter(self.sigma2)
self.add_parameter(self.v)
self.v.constrain_fixed()