--- a/learner.py	Sat May 03 14:29:56 2008 -0400
+++ b/learner.py	Sat May 03 21:59:26 2008 -0400
@@ -30,8 +30,10 @@
         on-line setting or the sequential (Bayesian or not) settings.
         The result is a function that can be applied on data, with the same
         semantics of the Learner.use method.
+
         The user may optionally provide a training StatsCollector that is used to record
-        some statistics of the outputs computed during training.
+        some statistics of the outputs computed during training. It is update(d) during
+        training.
         """
         return self.use # default behavior is 'non-adaptive', i.e. update does not do anything
     
@@ -51,6 +53,6 @@
         If output_fields is specified, it may be use to indicate which fields should
         be constructed in the output DataSet (for example ['output','classification_error']).
         Optionally, if copy_inputs, the input fields (of the input_dataset) can be made
-        visible in the output DataSet returned by this function.
+        visible in the output DataSet returned by this method.
         """
         raise NotImplementedError