--- a/denoising_aa.py	Fri Jun 06 17:55:14 2008 -0400
+++ b/denoising_aa.py	Fri Jun 06 17:58:45 2008 -0400
@@ -106,11 +106,14 @@
         self.denoising_autoencoder_formula = corruption_formula + autoencoder.rename(x='corrupted_x')
         
     def __call__(self, training_set=None):
-        """ Allocate and optionnaly train a model"""
+        """ Allocate and optionnaly train a model
+
+        @TODO enables passing in training and valid sets, instead of cutting one set in 80/20
+        """
         model = DenoisingAutoEncoderModel(self)
         if training_set:
             print 'DenoisingAutoEncoder(): what do I do if training_set????'
-            # copied from mlp_factory_approach:
+            # copied from old mlp_factory_approach:
             if len(trainset) == sys.maxint:
                 raise NotImplementedError('Learning from infinite streams is not supported')
             nval = int(self.validation_portion * len(trainset))