Is there a bug in the train function? Using 'lambda: 1' for the default dict along with '+=' means that the first time a feature is encountered, the value is set to 2.
In [1]: from collections import defaultdict
In [2]: d = defaultdict(lambda: 1)
In [3]: d['foo'] += 1
In [4]: d['foo']
Out[4]: 2
