Given the method of determining the class predictions in the extreme
learning machine classifier:

   class_predictions = np.argmax(raw_predictions, axis=1)

   where raw_predictions are the (potentially negative) linear regression 
outputs
   (see https://gist.github.com/larsmans/2493300)

what is the best way of generating class probabilities for the predict_proba()
method (or is there a suitable example that I could examine)?

Thanks in advance for any help.

- David



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