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Ricardo 2013-04-15 08:14:01 +01:00
parent 11a9e53059
commit f3ea01f76d
1 changed files with 6 additions and 5 deletions
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11
GPy/models/sparse_GP.py
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@ -185,11 +185,12 @@ class sparse_GP(GP):
self.likelihood._set_params(p[self.Z.size+self.kern.Nparam:])
self._compute_kernel_matrices()
if self.auto_scale_factor:
if self.likelihood.is_heteroscedastic:
self.scale_factor = max(100.,(self.psi2_beta_scaled.sum(0).max()))
print self.scale_factor
else:
self.scale_factor = np.sqrt(self.psi2.sum(0).mean()*self.likelihood.precision)
self.scale_factor = np.sqrt(self.psi2.sum(0).mean()*self.likelihood.precision)
#if self.auto_scale_factor:
# if self.likelihood.is_heteroscedastic:
# self.scale_factor = max(1,np.sqrt(self.psi2_beta_scaled.sum(0).mean()))
# else:
# self.scale_factor = np.sqrt(self.psi2.sum(0).mean()*self.likelihood.precision)
self._computations()
def _get_params(self):