I am using the nltk.classify.MaxEntClassifier. This object has a set of labels,
and a set of probabilities: P(label | features). It modifies this probability
given data. SO for example, if you tell this object that the label L appears
60% of the time with the feature F, then P(L | F) = 0.6.
The point is, there is no way to access the probabilities directly. The
object's 'classify' method uses these probabilities, but you can't call them as
an object property.
In order to adjust probabilities, you have to call the object's 'train' method,
and feed classified data in.
So is there any way to save a MaxEntClassifier object, with its classification
probabilities, without having to call the 'train' method?
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