--- a/pylearn/algorithms/stopper.py	Fri May 15 17:47:53 2009 -0400
+++ b/pylearn/algorithms/stopper.py	Fri May 15 17:51:33 2009 -0400
@@ -123,26 +123,3 @@
     return ICML08Stopper(hard_limit, v_int, 1.0, 1.0, hard_limit)
 
 
-class NIPS09Stopper(Stopper):
-    """This stoppers stops if...
-        n_iter_max iterations have happened since the beginning,
-        OR (training error is below train_error_min
-            AND (n_iter_max * patience iterations have happened since last minimum
-                OR validation error gets higher than its minimum * valid_aumentation_max))
-    """
-
-    def __init__(self, n_iter_max, train_error_min=float('inf'), patience=0.1,
-            valid_augmentation_max=1.1, set_score_interval=1):
-        self.n_iter_max = n_iter_max
-        self.train_error_min = train_error_min
-        self.patience = patience
-        self.valid_augmentation_max = valid_augmentation_max
-        self.set_score_interval = set_score_interval
-
-        self.best_train = float('inf')
-        self.best_valid = float('inf')
-        self.best_valid_iter = -1
-
-        self.set_score = False
-        self.score = None
-