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[SSGPLVM] support non-ARD rbf

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This commit is contained in:
Zhenwen Dai 2014-03-03 17:56:47 +00:00
parent 8b2ba52a8f
commit 0f6004034e
2 changed files with 12 additions and 13 deletions
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11
GPy/kern/_src/rbf.py
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@ -62,13 +62,18 @@ class RBF(Stationary):
#from psi1
self.variance.gradient += np.sum(dL_dpsi1 * _dpsi1_dvariance)
self.lengthscale.gradient = (dL_dpsi1[:,:,None]*_dpsi1_dlengthscale).reshape(-1,self.input_dim).sum(axis=0)
if self.ARD:
self.lengthscale.gradient = (dL_dpsi1[:,:,None]*_dpsi1_dlengthscale).reshape(-1,self.input_dim).sum(axis=0)
else:
self.lengthscale.gradient = (dL_dpsi1[:,:,None]*_dpsi1_dlengthscale).sum()
#from psi2
self.variance.gradient += (dL_dpsi2 * _dpsi2_dvariance).sum()
self.lengthscale.gradient += (dL_dpsi2[:,:,:,None] * _dpsi2_dlengthscale).reshape(-1,self.input_dim).sum(axis=0)
return
if self.ARD:
self.lengthscale.gradient += (dL_dpsi2[:,:,:,None] * _dpsi2_dlengthscale).reshape(-1,self.input_dim).sum(axis=0)
else:
self.lengthscale.gradient += (dL_dpsi2[:,:,:,None] * _dpsi2_dlengthscale).sum()
elif isinstance(variational_posterior, variational.NormalPosterior):