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working on psi cross terms

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This commit is contained in:
Nicolo Fusi 2013-03-11 14:03:23 +00:00
parent 84119a19b3
commit 05ca5cfe6d
3 changed files with 30 additions and 6 deletions
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8
GPy/kern/kern.py
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@ -444,9 +444,9 @@ class kern(parameterised):
pass
#rbf X bias
elif p1.name=='bias' and p2.name=='rbf':
target += p2.dpsi1_dX(dL_dpsi2.sum(1)*p1.variance,Z,mu,S,target)
p2.dpsi1_dX(dL_dpsi2.sum(1)*p1.variance,Z,mu,S,target)
elif p2.name=='bias' and p1.name=='rbf':
target += p1.dpsi1_dZ(dL_dpsi2.sum(2)*p2.variance,Z,mu,S,target)
p1.dpsi1_dZ(dL_dpsi2.sum(2)*p2.variance,Z,mu,S,target)
#rbf X linear
elif p1.name=='linear' and p2.name=='rbf':
raise NotImplementedError #TODO
@ -471,9 +471,9 @@ class kern(parameterised):
pass
#rbf X bias
elif p1.name=='bias' and p2.name=='rbf':
target += p2.dpsi1_dmuS(partial.sum(1)*p1.variance,Z,mu,S,target_mu,target_S)
p2.dpsi1_dmuS(partial.sum(1)*p1.variance,Z,mu,S,target_mu,target_S)
elif p2.name=='bias' and p1.name=='rbf':
target += p1.dpsi1_dmuS(partial.sum(2)*p2.variance,Z,mu,S,target_mu,target_S)
p1.dpsi1_dmuS(partial.sum(2)*p2.variance,Z,mu,S,target_mu,target_S)
#rbf X linear
elif p1.name=='linear' and p2.name=='rbf':
raise NotImplementedError #TODO