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Added ability to pass the gradient function to Adadelta #24

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Added ability to pass the gradient function to Adadelta #24

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6 changes: 5 additions & 1 deletion paramz/optimization/optimization.py
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Original file line number Diff line number Diff line change
Expand Up @@ -251,6 +251,7 @@ def _check_for_climin():

class Opt_Adadelta(Optimizer):
def __init__(self, step_rate=0.1, decay=0.9, momentum=0, *args, **kwargs):
self.fp = kwargs.pop('fp', None)
Optimizer.__init__(self, *args, **kwargs)
self.opt_name = "Adadelta (climin)"
self.step_rate=step_rate
Expand All @@ -261,7 +262,10 @@ def __init__(self, step_rate=0.1, decay=0.9, momentum=0, *args, **kwargs):


def opt(self, x_init, f_fp=None, f=None, fp=None):
assert not fp is None
if self.fp is not None:
fp = self.fp
else:
assert not fp is None

import climin

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