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renaming: posterior_variationa -> variational_posterior

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James Hensman 2014-02-24 19:31:13 +00:00
parent 17f9764a55
commit da4686dd3c
9 changed files with 58 additions and 63 deletions
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12
GPy/kern/_src/kern.py
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@ -26,11 +26,11 @@ class Kern(Parameterized):
raise NotImplementedError
def Kdiag(self, Xa):
raise NotImplementedError
def psi0(self,Z,posterior_variational):
def psi0(self,Z,variational_posterior):
raise NotImplementedError
def psi1(self,Z,posterior_variational):
def psi1(self,Z,variational_posterior):
raise NotImplementedError
def psi2(self,Z,posterior_variational):
def psi2(self,Z,variational_posterior):
raise NotImplementedError
def gradients_X(self, dL_dK, X, X2):
raise NotImplementedError
@ -49,16 +49,16 @@ class Kern(Parameterized):
self._collect_gradient(target)
self._set_gradient(target)
def update_gradients_variational(self, dL_dKmm, dL_dpsi0, dL_dpsi1, dL_dpsi2, Z, posterior_variational):
def update_gradients_variational(self, dL_dKmm, dL_dpsi0, dL_dpsi1, dL_dpsi2, Z, variational_posterior):
"""Set the gradients of all parameters when doing variational (M) inference with uncertain inputs."""
raise NotImplementedError
def gradients_Z_sparse(self, dL_dKmm, dL_dKnm, dL_dKdiag, X, Z):
grad = self.gradients_X(dL_dKmm, Z)
grad += self.gradients_X(dL_dKnm.T, Z, X)
return grad
def gradients_Z_variational(self, dL_dKmm, dL_dpsi0, dL_dpsi1, dL_dpsi2, Z, posterior_variational):
def gradients_Z_variational(self, dL_dKmm, dL_dpsi0, dL_dpsi1, dL_dpsi2, Z, variational_posterior):
raise NotImplementedError
def gradients_q_variational(self, dL_dKmm, dL_dpsi0, dL_dpsi1, dL_dpsi2, Z, posterior_variational):
def gradients_q_variational(self, dL_dKmm, dL_dpsi0, dL_dpsi1, dL_dpsi2, Z, variational_posterior):
raise NotImplementedError
def plot_ARD(self, *args, **kw):