README.md in yanbi-ml-0.2.3 vs README.md in yanbi-ml-0.2.4

@@ -199,11 +199,22 @@
 #actually, the 'odd' category is especially noisy, so let's make
 #that two dozen for odd items
 
 classifier.set_significance(24, :odd)
 ```
+Additionally, you can call the scores (for word bags) and scores_raw methods to get a hash of the raw numerical category scores for a document:
 
+```ruby
+classifier = Yanbi.default(:even, :odd)
+
+#...tons of training happens here...
+
+classifier.scores_raw('one two three') => {:even => -4.18383, :odd => -2.12391}
+```
+
+Raw numerical scores are useful for those instances where you want to set a threshold for valid classification scores, or implement a minimal difference in scores for a valid classification, or for tie breaking.
+
 ## Persisting
 
 After going to all of the trouble of training a classifier on a large corpus, it would be very useful to save it to disk for later use.  You can do just that with the appropriately named save and load functions:
 
 ```ruby
@@ -269,5 +280,6 @@
 
 
 ## License
 
 The gem is available as open source under the terms of the [MIT License](http://opensource.org/licenses/MIT).
+