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an afternoon's work on the laplace approximation

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This commit is contained in:
James Hensman 2014-02-05 16:23:35 +00:00
parent 2ff7e286ee
commit f653bc430e
6 changed files with 120 additions and 225 deletions
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4
GPy/core/parameterization/parameterized.py
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@ -74,6 +74,7 @@ class Parameterized(Constrainable, Pickleable, Observable):
self.size = sum(p.size for p in self._parameters_)
if not self._has_fixes():
self._fixes_ = None
self._param_slices_ = []
self._connect_parameters()
self._added_names_ = set()
del self._in_init_
@ -213,7 +214,6 @@ class Parameterized(Constrainable, Pickleable, Observable):
return
i = 0
sizes = [0]
self._param_slices_ = []
for p in self._parameters_:
p._direct_parent_ = self
p._highest_parent_ = self
@ -315,7 +315,7 @@ class Parameterized(Constrainable, Pickleable, Observable):
return n
def _get_params(self):
# don't overwrite this anymore!
return numpy.hstack([x._get_params() for x in self._parameters_])
return numpy.hstack([x._get_params() for x in self._parameters_ if x.size>0])
def _set_params(self, params, update=True):
# don't overwrite this anymore!
[p._set_params(params[s], update=update) for p,s in itertools.izip(self._parameters_,self._param_slices_)]