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gradient operations and cachong

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Max Zwiessele 2014-02-21 10:38:11 +00:00
parent 0c92fca31a
commit b19f9b9f33
8 changed files with 151 additions and 138 deletions
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11
GPy/core/parameterization/param.py
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@ -15,7 +15,7 @@ __precision__ = numpy.get_printoptions()['precision'] # numpy printing precision
__print_threshold__ = 5
######
class Param(ObservableArray, Constrainable, Gradcheckable, Indexable, Parentable):
class Param(Constrainable, ObservableArray, Gradcheckable, Indexable):
"""
Parameter object for GPy models.
@ -57,8 +57,8 @@ class Param(ObservableArray, Constrainable, Gradcheckable, Indexable, Parentable
obj._gradient_ = None
return obj
def __init__(self, name, input_array, default_constraint=None):
super(Param, self).__init__(name=name, default_constraint=default_constraint)
def __init__(self, name, input_array, default_constraint=None, *a, **kw):
super(Param, self).__init__(name=name, default_constraint=default_constraint, *a, **kw)
def __array_finalize__(self, obj):
# see InfoArray.__array_finalize__ for comments
@ -144,7 +144,10 @@ class Param(ObservableArray, Constrainable, Gradcheckable, Indexable, Parentable
return self.flat
def _collect_gradient(self, target):
target[:] = self.gradient.flat
target += self.gradient.flat
def _set_gradient(self, g):
self.gradient = g
#===========================================================================
# Array operations -> done