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[psi2n] added psi2n for static kernels

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Max Zwiessele 2015-09-04 13:52:31 +01:00
parent 8fa5b67089
commit d28483807d
1 changed files with 11 additions and 0 deletions
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11
GPy/kern/_src/static.py
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@ -66,6 +66,9 @@ class White(Static):
def psi2(self, Z, variational_posterior):
return np.zeros((Z.shape[0], Z.shape[0]), dtype=np.float64)
def psi2n(self, Z, variational_posterior):
return np.zeros((1, Z.shape[0], Z.shape[0]), dtype=np.float64)
def update_gradients_full(self, dL_dK, X, X2=None):
if X2 is None:
self.variance.gradient = np.trace(dL_dK)
@ -99,6 +102,11 @@ class Bias(Static):
ret[:] = self.variance*self.variance*variational_posterior.shape[0]
return ret
def psi2n(self, Z, variational_posterior):
ret = np.empty((1, Z.shape[0], Z.shape[0]), dtype=np.float64)
ret[:] = self.variance*self.variance
return ret
def update_gradients_expectations(self, dL_dpsi0, dL_dpsi1, dL_dpsi2, Z, variational_posterior):
self.variance.gradient = dL_dpsi0.sum() + dL_dpsi1.sum() + 2.*self.variance*dL_dpsi2.sum()*variational_posterior.shape[0]
@ -127,6 +135,9 @@ class Fixed(Static):
def psi2(self, Z, variational_posterior):
return np.zeros((Z.shape[0], Z.shape[0]), dtype=np.float64)
def psi2n(self, Z, variational_posterior):
return np.zeros((1, Z.shape[0], Z.shape[0]), dtype=np.float64)
def update_gradients_expectations(self, dL_dpsi0, dL_dpsi1, dL_dpsi2, Z, variational_posterior):
self.variance.gradient = dL_dpsi0.sum()