Hello,
For my ML problem I am facing a bit of dilemma wrt my solution
Problem: Predict a category using a text-classifier for large number of
categories. Depending on the category predicted we need some post
processing [e.g. get document with URL] and try to predict again.
In the second prediction the original category is to be excluded.
--> To summarize is there a way to get a list of predicted categories (by
likelihood) so as to get the next best category? Or the best category
within a subset of original categories without training a separate
classifier. I am currently using OneVsRestClassifier(SGDClassifier) since I
need to utilize each category classifier.
[For solution I tried to send selective estimators to predict_proba_ovr,
that gives the list of prediction probabilities but results seemed to be
inconsistent with predict, or maybe I am approaching this the wrong way]
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