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