svm.SVC use LibSVM under the hood. So you can take a look at the document
of LibSVM. It might be produced using Platt's calibration method, but I am
not sure.
On Mon, Jan 16, 2012 at 12:40 AM, traveller3141 <[email protected]>wrote:
> sklearn.svm.SVC has a parameter probability, which enables
> 'probability' estimates.
>
> How are these estimates calculated (% Right during training?
> Similarity to training data?) ?
> Thanks,
> Steven
>
>
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--
Best Wishes
--------------------------------------------
Meng Xinfan（蒙新泛）
Institute of Computational Linguistics
Department of Computer Science & Technology
School of Electronic Engineering & Computer Science
Peking University
Beijing, 100871
China
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