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adjusted gaussian likelihood to new parameterization

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Max Zwiessele 2013-10-22 16:18:04 +01:00
parent 5ab7303226
commit e1bee4536a
1 changed files with 7 additions and 4 deletions
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11
GPy/likelihoods/gaussian.py
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@ -1,6 +1,7 @@
import numpy as np import numpy as np
from likelihood import likelihood from likelihood import likelihood
from ..util.linalg import jitchol from ..util.linalg import jitchol
from ..core.parameter import Param
class Gaussian(likelihood): class Gaussian(likelihood):
@ -32,9 +33,11 @@ class Gaussian(likelihood):
self.set_data(data) self.set_data(data)
self._variance = np.asarray(variance) + 1 self.variance = Param('noise_variance', variance, None)
self.variance = np.asarray(variance) self.set_as_parameters(self.variance)
self.set_as_parameter('noise_variance', self.variance, None)
self._variance = variance + 1
# self._set_params(np.asarray(variance)) # self._set_params(np.asarray(variance))
@ -69,7 +72,7 @@ class Gaussian(likelihood):
self.V = (self.precision) * self.Y self.V = (self.precision) * self.Y
self.VVT_factor = self.precision * self.YYT_factor self.VVT_factor = self.precision * self.YYT_factor
self.covariance_matrix = np.eye(self.N) * self.variance self.covariance_matrix = np.eye(self.N) * self.variance
self._variance = self.variance self._variance = self.variance.copy()
def predictive_values(self, mu, var, full_cov): def predictive_values(self, mu, var, full_cov):
""" """