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minor changes

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This commit is contained in:
Nicolo Fusi 2013-01-31 13:38:05 +00:00
parent d4a539a2d1
commit be8417315c
2 changed files with 4 additions and 4 deletions
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4
GPy/models/sparse_GP_regression.py
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@ -120,7 +120,7 @@ class sparse_GP_regression(GP_regression):
def _get_param_names(self):
return sum([['iip_%i_%i'%(i,j) for i in range(self.Z.shape[0])] for j in range(self.Z.shape[1])],[]) + ['noise_precision']+self.kern._get_param_names_transformed()
def log_likelihood(self):
""" Compute the (lower bound on the) log marginal likelihood """
sf2 = self.scale_factor**2
@ -132,7 +132,7 @@ class sparse_GP_regression(GP_regression):
def _log_likelihood_gradients(self):
return np.hstack([self.dL_dZ().flatten(), self.dL_dbeta(), self.dL_dtheta()])
def dL_dbeta(self):
"""
Compute the gradient of the log likelihood wrt beta.