Better docs

bayes.py

@@ -34,9 +34,9 @@ def train(dataset):
 """
 TODO - Implement the following functions.
 In each of these functions, you can use the MODEL variable which is a dictionary which has three members:
-    MODEL['count_of_word_by_outcome'][outcome][word] = count_of_word_in_all_documents
-    MODEL['num_data_points'] = number_of_documents_in_the_dataset
-    MODEL['count_of_data_points_with_outcome'][outcome] = number_of_documents_in_the_data_set_which_have_the_correct_outcome_as_outcome
+    MODEL['count_of_word_by_outcome'][outcome][word] = Total number of documents in the category 'outcome' in which this word appears
+    MODEL['num_data_points'] = Total number of documents in the data set
+    MODEL['count_of_data_points_with_outcome'][outcome] = Total number of documents in the category 'outcome'
 """
 @cache
 def pr_outcome(outcome : str) : # Pr(outcome)