Mercurial > pylearn

changeset 708:53a247cfee84

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Merged
author Olivier Delalleau <delallea@iro>
date Fri, 22 May 2009 10:03:29 -0400
parents f8bf9533f6b3 (diff) 2b54c38e2c60 (current diff)
children 55f77c7c3075
files pylearn/algorithms/sandbox/DAA_inputs_groups.py
diffstat 1 files changed, 3 insertions(+), 3 deletions(-) [+]
line wrap: on
line diff
--- a/pylearn/algorithms/sandbox/DAA_inputs_groups.py	Thu May 21 19:52:46 2009 -0400
+++ b/pylearn/algorithms/sandbox/DAA_inputs_groups.py	Fri May 22 10:03:29 2009 -0400
@@ -522,7 +522,7 @@
 						theano.Method(self.inputs[-1],self.totalgradients[-1][0]+self.totalgradients[-1][1])
 	
 	def _instance_initialize(self,inst,unsup_lr = 0.1, sup_lr = 0.01, reg_coef = 0,
-								noise_level = 0 , noise_level_group = 0, seed = 1, Alloc = True,**init):
+								noise_level = 0 , noise_level_group = 0, seed = 1, alloc = True,**init):
 		super(StackedDAAig, self)._instance_initialize(inst, **init)
 		
 		inst.unsup_lr = unsup_lr
@@ -531,8 +531,8 @@
 		for i in range(self.depth):
 			print '\tLayer = ', i+1
 			inst.daaig[i].initialize(reg_coef = reg_coef, noise_level = noise_level,\
-					noise_level_group = noise_level_group, seed = seed, Alloc = Alloc)
+					noise_level_group = noise_level_group, seed = seed, alloc = alloc)
 		print '\tLayer supervised'
 		inst.daaig[-1].initialize()
 		inst.daaig[-1].l1 = 0
-		inst.daaig[-1].l2 = reg_coef #only l2 norm for regularisation to be consitent with the unsup regularisation
\ No newline at end of file
+		inst.daaig[-1].l2 = reg_coef #only l2 norm for regularisation to be consitent with the unsup regularisation