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Merge branch 'params' of github.com:SheffieldML/GPy into params

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Max Zwiessele 2014-03-18 16:48:59 +00:00
commit ff1d0fd09b
11 changed files with 193 additions and 201 deletions
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38
GPy/testing/likelihood_tests.py
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@ -255,25 +255,25 @@ class TestNoiseModels(object):
"Y": self.binary_Y,
"ep": False # FIXME: Should be True when we have it working again
},
#"Exponential_default": {
#"model": GPy.likelihoods.exponential(),
#"link_f_constraints": [constrain_positive],
#"Y": self.positive_Y,
#"laplace": True,
#},
#"Poisson_default": {
#"model": GPy.likelihoods.poisson(),
#"link_f_constraints": [constrain_positive],
#"Y": self.integer_Y,
#"laplace": True,
#"ep": False #Should work though...
#},
#"Gamma_default": {
#"model": GPy.likelihoods.gamma(),
#"link_f_constraints": [constrain_positive],
#"Y": self.positive_Y,
#"laplace": True
#}
"Exponential_default": {
"model": GPy.likelihoods.Exponential(),
"link_f_constraints": [constrain_positive],
"Y": self.positive_Y,
"laplace": True,
},
"Poisson_default": {
"model": GPy.likelihoods.Poisson(),
"link_f_constraints": [constrain_positive],
"Y": self.integer_Y,
"laplace": True,
"ep": False #Should work though...
},
"Gamma_default": {
"model": GPy.likelihoods.Gamma(),
"link_f_constraints": [constrain_positive],
"Y": self.positive_Y,
"laplace": True
}
}
for name, attributes in noise_models.iteritems():