apunkt/GPy
1
0
Fork 0
mirror of https://github.com/SheffieldML/GPy.git synced 2026-05-04 17:22:39 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions

gaussian with identity link in tests

Browse source
This commit is contained in:
James Hensman 2014-03-18 18:01:20 +00:00
parent a307d528ef
commit d7eff18180
1 changed files with 2 additions and 2 deletions
Download patch file Download diff file Expand all files Collapse all files

4
GPy/testing/likelihood_tests.py
View file

@ -589,7 +589,8 @@ class LaplaceTests(unittest.TestCase):
self.var = np.random.rand(1)
self.stu_t = GPy.likelihoods.StudentT(deg_free=5, sigma2=self.var)
self.gauss = GPy.likelihoods.Gaussian(gp_link=link_functions.Log(), variance=self.var)
#TODO: gaussians with on Identity link. self.gauss = GPy.likelihoods.Gaussian(gp_link=link_functions.Log(), variance=self.var)
self.gauss = GPy.likelihoods.Gaussian(variance=self.var)
#Make a bigger step as lower bound can be quite curved
self.step = 1e-6
@ -613,7 +614,6 @@ class LaplaceTests(unittest.TestCase):
noise = np.random.randn(*self.X.shape)*self.real_std
self.Y = np.sin(self.X*2*np.pi) + noise
self.f = np.random.rand(self.N, 1)
self.gauss = GPy.likelihoods.Gaussian(variance=self.var)
dlogpdf_df = functools.partial(self.gauss.dlogpdf_df, y=self.Y)
d2logpdf_df2 = functools.partial(self.gauss.d2logpdf_df2, y=self.Y)