Re: [Scikit-learn-general] Combine probabilities

There are some algorithms described in the wikipedia: http://en.wikipedia.org/wiki/Ensemble_learning One way for ensemble is to combine the predictions using the accuracy and the training data size of each model, e.g., bayesian model averaging. Much simpler to implement, but effective, method is

[Scikit-learn-general] Using TFxIDF with HashingVectorizer

to use the IDF table, but it's currently tied to a function named 'normalize'. Has anyone tried similar approach? If no one is, what is the reason? Is it because TFxIDF is not useful for document classif