Mercurial > pylearn
changeset 491:180d125dc7e2
made logistic_regression classes compatible with stacker
author | Olivier Breuleux <breuleuo@iro.umontreal.ca> |
---|---|
date | Tue, 28 Oct 2008 11:39:27 -0400 |
parents | 2c4738e5e4b2 |
children | 6dfdcee64e9b |
files | algorithms/logistic_regression.py |
diffstat | 1 files changed, 4 insertions(+), 2 deletions(-) [+] |
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line diff
--- a/algorithms/logistic_regression.py Tue Oct 28 00:23:53 2008 -0400 +++ b/algorithms/logistic_regression.py Tue Oct 28 11:39:27 2008 -0400 @@ -18,7 +18,7 @@ self.lr = 0.01 self.__hide__ = ['params'] - def __init__(self, x=None, targ=None, w=None, b=None, lr=None): + def __init__(self, x=None, targ=None, w=None, b=None, lr=None, regularize=False): super(Module_Nclass, self).__init__() #boilerplate self.x = x if x is not None else T.matrix() @@ -36,6 +36,7 @@ self.y = y self.sum_xent = sum_xent + self.cost = sum_xent #define the apply method self.pred = T.argmax(T.dot(self.x, self.w) + self.b, axis=1) @@ -57,7 +58,7 @@ self.lr = 0.01 self.__hide__ = ['params'] - def __init__(self, x=None, targ=None, w=None, b=None, lr=None): + def __init__(self, x=None, targ=None, w=None, b=None, lr=None, regularize=False): super(Module, self).__init__() #boilerplate self.x = x if x is not None else T.matrix() @@ -76,6 +77,7 @@ self.y = y self.xent = xent self.sum_xent = sum_xent + self.cost = sum_xent #define the apply method self.pred = (T.dot(self.x, self.w) + self.b) > 0.0