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global gradient test done and some parameterized fixes

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Max Zwiessele 2014-02-28 16:58:24 +00:00
parent eae3c28dc0
commit 20e02e63a9
7 changed files with 39 additions and 93 deletions
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9
GPy/core/parameterization/param.py
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@ -50,7 +50,7 @@ class Param(OptimizationHandlable, ObservableArray, Gradcheckable):
obj._realsize_ = obj.size
obj._realndim_ = obj.ndim
obj._updated_ = False
from index_operations import SetDict
from lists_and_dicts import SetDict
obj._tied_to_me_ = SetDict()
obj._tied_to_ = []
obj._original_ = True
@ -232,7 +232,8 @@ class Param(OptimizationHandlable, ObservableArray, Gradcheckable):
#===========================================================================
@property
def is_fixed(self):
return self._highest_parent_._is_fixed(self)
from transformations import __fixed__
return self.constraints[__fixed__].size == self.size
#def round(self, decimals=0, out=None):
# view = super(Param, self).round(decimals, out).view(Param)
# view.__array_finalize__(self)
@ -347,8 +348,8 @@ class ParamConcatenation(object):
See :py:class:`GPy.core.parameter.Param` for more details on constraining.
"""
# self.params = params
from lists_and_dicts import ParamList
self.params = ParamList([])
from lists_and_dicts import ArrayList
self.params = ArrayList([])
for p in params:
for p in p.flattened_parameters:
if p not in self.params: