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checkgrad now global and callable from any parameter

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Max Zwiessele 2014-02-10 16:01:55 +00:00
parent 6a068775f5
commit 826d2f04ff
4 changed files with 27 additions and 14 deletions
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11
GPy/core/parameterization/param.py
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@ -3,8 +3,8 @@
import itertools
import numpy
from parameter_core import Constrainable, adjust_name_for_printing
from array_core import ObservableArray
from parameter_core import Constrainable, Gradcheckable, adjust_name_for_printing
from array_core import ObservableArray, ParamList
###### printing
__constraints_name__ = "Constraint"
@ -20,7 +20,7 @@ class Float(numpy.float64, Constrainable):
self._base = base
class Param(ObservableArray, Constrainable):
class Param(ObservableArray, Constrainable, Gradcheckable):
"""
Parameter object for GPy models.
@ -547,6 +547,11 @@ class ParamConcatenation(object):
def untie(self, *ties):
[param.untie(*ties) for param in self.params]
def checkgrad(self, verbose=0, step=1e-6, tolerance=1e-3):
return self.params[0]._highest_parent_._checkgrad(self, verbose, step, tolerance)
#checkgrad.__doc__ = Gradcheckable.checkgrad.__doc__
__lt__ = lambda self, val: self._vals() < val
__le__ = lambda self, val: self._vals() <= val
__eq__ = lambda self, val: self._vals() == val