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ODE_UY gradient checks now kernel unit

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Max Zwiessele 2014-03-21 10:55:34 +00:00
parent bf6cdf5d31
commit 92bfb3784c
3 changed files with 30 additions and 19 deletions
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4
GPy/kern/_src/add.py
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@ -23,7 +23,7 @@ class Add(CombinationKernel):
If a list of parts (of this kernel!) `which_parts` is given, only
the parts of the list are taken to compute the covariance.
"""
assert X.shape[1] == self.input_dim
assert X.shape[1] > max(np.r_[self.active_dims])
if which_parts is None:
which_parts = self.parts
elif not isinstance(which_parts, (list, tuple)):
@ -33,7 +33,7 @@ class Add(CombinationKernel):
@Cache_this(limit=2, force_kwargs=['which_parts'])
def Kdiag(self, X, which_parts=None):
assert X.shape[1] == self.input_dim
assert X.shape[1] > max(np.r_[self.active_dims])
if which_parts is None:
which_parts = self.parts
elif not isinstance(which_parts, (list, tuple)):