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[variational] posterior object copies adjusted

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mzwiessele 2014-05-13 08:35:25 +01:00
parent 4590a05d0f
commit 4f627c904f
2 changed files with 16 additions and 3 deletions
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16
GPy/core/parameterization/param.py
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@ -89,6 +89,13 @@ class Param(OptimizationHandlable, ObsAr):
def param_array(self):
return self
@property
def values(self):
"""
Return self as numpy array view
"""
return self.view(np.ndarray)
@property
def gradient(self):
"""
@ -99,11 +106,11 @@ class Param(OptimizationHandlable, ObsAr):
"""
if getattr(self, '_gradient_array_', None) is None:
self._gradient_array_ = numpy.empty(self._realshape_, dtype=numpy.float64)
return self._gradient_array_[self._current_slice_]
return self._gradient_array_#[self._current_slice_]
@gradient.setter
def gradient(self, val):
self._gradient_array_[self._current_slice_] = val
self._gradient_array_[:] = val
#===========================================================================
# Array operations -> done
@ -114,7 +121,10 @@ class Param(OptimizationHandlable, ObsAr):
#if not reduce(lambda a, b: a or numpy.any(b is Ellipsis), s, False) and len(s) <= self.ndim:
# s += (Ellipsis,)
new_arr = super(Param, self).__getitem__(s, *args, **kwargs)
try: new_arr._current_slice_ = s; new_arr._original_ = self.base is new_arr.base
try:
new_arr._current_slice_ = s
new_arr._gradient_array_ = self.gradient[s]
new_arr._original_ = self.base is new_arr.base
except AttributeError: pass # returning 0d array or float, double etc
return new_arr