Bayes and LogisticRegression aren't quite as interchangeable as suggested

[dsl101]

I've been trying to experiment with the results comparing the 2 classifiers, and the docs suggest one should be a direct replacement for the other (see opening para here). But I suspect they're not quite as interchangeable as the docs suggest. Bayes can return multiple categories, whereas I guess LR can only return true or false? But if you supply true and false to Bayes, they get converted to text strings in getClassifications(), so dealing with the return values becomes complex in code where switching classifiers is a configuration option.

Ideally I would like Bayes to deal with true and false as values rather than strings, but I'm not sure how easy it would be to allow Bayes to handle non-uniform types for the classifications. At least it should probably be pointed out on the docs page that they don't necessarily return the same data types.