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[randomize] adjusted parameters to go into random generator right

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mzwiessele 2014-06-18 08:39:40 -07:00
parent 47d10600d1
commit c62dd85418
1 changed files with 2 additions and 2 deletions
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4
GPy/core/parameterization/parameter_core.py
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@ -793,7 +793,7 @@ class OptimizationHandlable(Indexable):
#=========================================================================== #===========================================================================
# Randomizeable # Randomizeable
#=========================================================================== #===========================================================================
def randomize(self, rand_gen=np.random.normal, loc=0, scale=1, *args, **kwargs): def randomize(self, rand_gen=np.random.normal, *args, **kwargs):
""" """
Randomize the model. Randomize the model.
Make this draw from the prior if one exists, else draw from given random generator Make this draw from the prior if one exists, else draw from given random generator
@ -804,7 +804,7 @@ class OptimizationHandlable(Indexable):
:param args, kwargs: will be passed through to random number generator :param args, kwargs: will be passed through to random number generator
""" """
# first take care of all parameters (from N(0,1)) # first take care of all parameters (from N(0,1))
x = rand_gen(loc=loc, scale=scale, size=self._size_transformed(), *args, **kwargs) x = rand_gen(size=self._size_transformed(), *args, **kwargs)
# now draw from prior where possible # now draw from prior where possible
[np.put(x, ind, p.rvs(ind.size)) for p, ind in self.priors.iteritems() if not p is None] [np.put(x, ind, p.rvs(ind.size)) for p, ind in self.priors.iteritems() if not p is None]
self.optimizer_array = x # makes sure all of the tied parameters get the same init (since there's only one prior object...) self.optimizer_array = x # makes sure all of the tied parameters get the same init (since there's only one prior object...)