apunkt/GPy
1
0
Fork 0
mirror of https://github.com/SheffieldML/GPy.git synced 2026-05-08 03:22:38 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions

likelihood is now parameterized

Browse source
This commit is contained in:
Max Zwiessele 2013-10-22 13:38:46 +01:00
parent e70203a1b2
commit 7f05dd4a43
1 changed files with 2 additions and 2 deletions
Download patch file Download diff file Expand all files Collapse all files

4
GPy/likelihoods/gaussian.py
View file

@ -14,6 +14,7 @@ class Gaussian(likelihood):
:type normalize: False|True :type normalize: False|True
""" """
def __init__(self, data, variance=1., normalize=False): def __init__(self, data, variance=1., normalize=False):
super(Gaussian, self).__init__()
self.is_heteroscedastic = False self.is_heteroscedastic = False
self.num_params = 1 self.num_params = 1
self.Z = 0. # a correction factor which accounts for the approximation made self.Z = 0. # a correction factor which accounts for the approximation made
@ -33,10 +34,9 @@ class Gaussian(likelihood):
self._variance = np.asarray(variance) + 1 self._variance = np.asarray(variance) + 1
self.variance = np.asarray(variance) self.variance = np.asarray(variance)
self.set_as_parameter(noise_variance=self.variance) self.set_as_parameter('noise_variance', self.variance, None)
# self._set_params(np.asarray(variance)) # self._set_params(np.asarray(variance))
super(Gaussian, self).__init__()
def set_data(self, data): def set_data(self, data):
self.data = data self.data = data