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]




------------------------------------------------------------------------------
Get 100% visibility into Java/.NET code with AppDynamics Lite!
It's a free troubleshooting tool designed for production.
Get down to code-level detail for bottlenecks, with <2% overhead. 
Download for free and get started troubleshooting in minutes. 
http://pubads.g.doubleclick.net/gampad/clk?id=48897031&iu=/4140/ostg.clktrk
_______________________________________________
Scikit-learn-general mailing list
Scikit-learn-general@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general

Reply via email to