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student t noise now called t_scale2

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Max Zwiessele 2014-03-31 13:01:16 +01:00
parent 89cdd1f6d9
commit dda9b3dd73
1 changed files with 16 additions and 16 deletions
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32
GPy/testing/likelihood_tests.py
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@ -112,7 +112,7 @@ class TestNoiseModels(object):
self.f = None
self.X = None
def test_noise_models(self):
def test_scale2_models(self):
self.setUp()
####################################################
@ -150,64 +150,64 @@ class TestNoiseModels(object):
noise_models = {"Student_t_default": {
"model": GPy.likelihoods.StudentT(deg_free=5, sigma2=self.var),
"grad_params": {
"names": [".*t_noise"],
"names": [".*t_scale2"],
"vals": [self.var],
"constraints": [(".*t_noise", constrain_positive), (".*deg_free", constrain_fixed)]
#"constraints": [("t_noise", constrain_positive), ("deg_free", partial(constrain_fixed, value=5))]
"constraints": [(".*t_scale2", constrain_positive), (".*deg_free", constrain_fixed)]
#"constraints": [("t_scale2", constrain_positive), ("deg_free", partial(constrain_fixed, value=5))]
},
"laplace": True
},
"Student_t_1_var": {
"model": GPy.likelihoods.StudentT(deg_free=5, sigma2=self.var),
"grad_params": {
"names": [".*t_noise"],
"names": [".*t_scale2"],
"vals": [1.0],
"constraints": [(".*t_noise", constrain_positive), (".*deg_free", constrain_fixed)]
"constraints": [(".*t_scale2", constrain_positive), (".*deg_free", constrain_fixed)]
},
"laplace": True
},
"Student_t_small_deg_free": {
"model": GPy.likelihoods.StudentT(deg_free=1.5, sigma2=self.var),
"grad_params": {
"names": [".*t_noise"],
"names": [".*t_scale2"],
"vals": [self.var],
"constraints": [(".*t_noise", constrain_positive), (".*deg_free", constrain_fixed)]
"constraints": [(".*t_scale2", constrain_positive), (".*deg_free", constrain_fixed)]
},
"laplace": True
},
"Student_t_small_var": {
"model": GPy.likelihoods.StudentT(deg_free=5, sigma2=self.var),
"grad_params": {
"names": [".*t_noise"],
"names": [".*t_scale2"],
"vals": [0.001],
"constraints": [(".*t_noise", constrain_positive), (".*deg_free", constrain_fixed)]
"constraints": [(".*t_scale2", constrain_positive), (".*deg_free", constrain_fixed)]
},
"laplace": True
},
"Student_t_large_var": {
"model": GPy.likelihoods.StudentT(deg_free=5, sigma2=self.var),
"grad_params": {
"names": [".*t_noise"],
"names": [".*t_scale2"],
"vals": [10.0],
"constraints": [(".*t_noise", constrain_positive), (".*deg_free", constrain_fixed)]
"constraints": [(".*t_scale2", constrain_positive), (".*deg_free", constrain_fixed)]
},
"laplace": True
},
"Student_t_approx_gauss": {
"model": GPy.likelihoods.StudentT(deg_free=1000, sigma2=self.var),
"grad_params": {
"names": [".*t_noise"],
"names": [".*t_scale2"],
"vals": [self.var],
"constraints": [(".*t_noise", constrain_positive), (".*deg_free", constrain_fixed)]
"constraints": [(".*t_scale2", constrain_positive), (".*deg_free", constrain_fixed)]
},
"laplace": True
},
"Student_t_log": {
"model": GPy.likelihoods.StudentT(gp_link=link_functions.Log(), deg_free=5, sigma2=self.var),
"grad_params": {
"names": [".*t_noise"],
"names": [".*t_scale2"],
"vals": [self.var],
"constraints": [(".*t_noise", constrain_positive), (".*deg_free", constrain_fixed)]
"constraints": [(".*t_scale2", constrain_positive), (".*deg_free", constrain_fixed)]
},
"laplace": True
},