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passing psi statistics

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This commit is contained in:
Alan Saul 2015-08-30 22:22:27 +03:00
parent 1a2b194aa2
commit c83f56723e
1 changed files with 16 additions and 10 deletions
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24
GPy/models/sparse_gp_minibatch.py
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@ -167,21 +167,27 @@ class SparseGPMiniBatch(SparseGP):
dL_dKmm = full_values['dL_dKmm']
self.kern.update_gradients_full(dL_dKmm, self.Z, None)
full_values['kerngrad'] = self.kern.gradient.copy()
self.kern.update_gradients_expectations(variational_posterior=self.X,
Z=self.Z,
dL_dpsi0=full_values['dL_dpsi0'],
self.kern.update_gradients_expectations(
variational_posterior=self.X,
Z=self.Z, dL_dpsi0=full_values['dL_dpsi0'],
dL_dpsi1=full_values['dL_dpsi1'],
dL_dpsi2=full_values['dL_dpsi2'])
dL_dpsi2=full_values['dL_dpsi2'],
psi0=self.psi0, psi1=self.psi1, psi2=self.psi2)
#self.kern.update_gradients_expectations(variational_posterior=self.X,
#Z=self.Z,
#dL_dpsi0=full_values['dL_dpsi0'],
#dL_dpsi1=full_values['dL_dpsi1'],
#dL_dpsi2=full_values['dL_dpsi2'])
full_values['kerngrad'] += self.kern.gradient
#gradients wrt Z
full_values['Zgrad'] = self.kern.gradients_X(dL_dKmm, self.Z)
full_values['Zgrad'] += self.kern.gradients_Z_expectations(
full_values['dL_dpsi0'],
full_values['dL_dpsi1'],
full_values['dL_dpsi2'],
Z=self.Z,
variational_posterior=self.X)
variational_posterior=self.X,
Z=self.Z, dL_dpsi0=full_values['dL_dpsi0'],
dL_dpsi1=full_values['dL_dpsi1'],
dL_dpsi2=full_values['dL_dpsi2'],
psi0=self.psi0, psi1=self.psi1, psi2=self.psi2)
else:
#gradients wrt kernel
self.kern.update_gradients_diag(full_values['dL_dKdiag'], self.X)