# HG changeset patch
# User Olivier Delalleau <delallea@iro>
# Date 1243000990 14400
# Node ID f8bf9533f6b34a330d6f70d5c6de11eee2009b6f
# Parent  521c04f8d2b349edbb964d825662a9275b9c3f83
Renamed Alloc into alloc

diff -r 521c04f8d2b3 -r f8bf9533f6b3 pylearn/algorithms/sandbox/DAA_inputs_groups.py
--- a/pylearn/algorithms/sandbox/DAA_inputs_groups.py	Thu May 21 12:54:41 2009 -0400
+++ b/pylearn/algorithms/sandbox/DAA_inputs_groups.py	Fri May 22 10:03:10 2009 -0400
@@ -478,7 +478,7 @@
 		self.representation[-1] = theano.Method(self.inputs[-2],self.daaig[-1].argmax_standalone)
 	
 	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
@@ -487,8 +487,8 @@
 		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