DOC Fix typo in Multinomial Naive Bayes online guide
@@ -125,7 +125,7 @@ version of maximum likelihood, i.e. relative frequency counting:
where :math:`N_{yi} = \sum_{x \in T} x_i` is
the number of times feature :math:`i` appears in a sample of class :math:`y`
in the training set :math:`T`,
-and :math:`N_{y} = \sum_{i=1}^{|T|} N_{yi}` is the total count of
+and :math:`N_{y} = \sum_{i=1}^{n} N_{yi}` is the total count of
all features for class :math:`y`.
The smoothing priors :math:`\alpha \ge 0` accounts for
