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changes to the hierarchical kernpart.

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Looks to work now.
This commit is contained in:
James Hensman 2013-07-08 15:29:37 +01:00
parent f19a26a006
commit 3ad48534c8
2 changed files with 10 additions and 9 deletions
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17
GPy/kern/parts/hierarchical.py
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@ -24,26 +24,26 @@ class Hierarchical(Kernpart):
return np.hstack([k._get_params() for k in self.parts])
def _set_params(self,x):
[k._set_params(x[start:stop]) for start, stop in zip(self.param_starts, self.param_stops)]
[k._set_params(x[start:stop]) for k, start, stop in zip(self.parts, self.param_starts, self.param_stops)]
def _get_param_names(self):
return self.k._get_param_names()
return sum([[str(i)+'_'+k.name+'_'+n for n in k._get_param_names()] for i,k in enumerate(self.parts)],[])
def _sort_slices(self,X,X2):
slices = [index_to_slices(x) for x in X[-self.levels:].T]
X = X[:-self.levels]
slices = [index_to_slices(x) for x in X[:,-self.levels:].T]
X = X[:,:-self.levels]
if X2 is None:
slices2 = slices
X2 = X
else:
slices2 = [index_to_slices(x) for x in X2[-self.levels:].T]
X2 = X2[:-self.levels]
slices2 = [index_to_slices(x) for x in X2[:,-self.levels:].T]
X2 = X2[:,:-self.levels]
return X, X2, slices, slices2
def K(self,X,X2,target):
X, X2, slices, slices2 = self._sort_slices(X,X2)
[[[k.K(X[s],X2[s2],target[s,s2]) for s in slices_i] for s2 in slices_j] for k,slices_i,slices_j in zip(self.parts,slices,slices2)]
[[[[k.K(X[s],X2[s2],target[s,s2]) for s in slices_i] for s2 in slices_j] for slices_i,slices_j in zip(slices_,slices2_)] for k, slices_, slices2_ in zip(self.parts,slices,slices2)]
def Kdiag(self,X,target):
raise NotImplementedError
@ -51,7 +51,8 @@ class Hierarchical(Kernpart):
#[[self.k.Kdiag(X[s],target[s]) for s in slices_i] for slices_i in slices]
def dK_dtheta(self,dL_dK,X,X2,target):
[[[k.dK_dtheta(dL_dK[s,s2],X[s],X2[s2],target[p_start:p_stop]) for s in slices_i] for s2 in slices_j] for k,slices_i,slices_j, p_start, p_stop in zip(self.parts, slices, slices2, self.param_starts, self.param_stops)]
X, X2, slices, slices2 = self._sort_slices(X,X2)
[[[[k.dK_dtheta(dL_dK[s,s2],X[s],X2[s2],target[p_start:p_stop]) for s in slices_i] for s2 in slices_j] for slices_i,slices_j in zip(slices_, slices2_)] for k, p_start, p_stop, slices_, slices2_ in zip(self.parts, self.param_starts, self.param_stops, slices, slices2)]
def dK_dX(self,dL_dK,X,X2,target):