posterior with one covariance per dimension and param gradient fix

This commit is contained in:
Max Zwiessele 2014-02-20 14:09:20 +00:00
parent 46f59f9f64
commit 52ab456bfe
3 changed files with 9 additions and 4 deletions

View file

@ -86,6 +86,9 @@ class Param(ObservableArray, Constrainable, Gradcheckable, Indexable, Parentable
if self._gradient_ is None:
self._gradient_ = numpy.zeros(self._realshape_)
return self._gradient_
@gradient.setter
def gradient(self, val):
self.gradient[:] = val
#===========================================================================
# Pickling operations