2013/5/7 Lars Buitinck <[email protected]>
> 2013/5/7 Peter Prettenhofer <[email protected]>:
> > Do you need probabilities? You could just use the signed distance to each
> > OVA hyperplane (via ``clf.decision_function()``) to rank the classes.
> Maybe
> > the platt-scaling screws up here...
>
> The more I find out about Platt scaling in LibSVM, the more I'm
> inclined to stay away from it.
>
> > You could also look at Mathieu's "lightning" project
> > https://github.com/mblondel/lightning - it features multinomial
> logistic
> > regression which might give better calibrated probabilities than platt
> > scaling...
>
> Or our own LogisticRegression. It cuts some corners, but sometimes
> it's good enough.
>
Right, it should give you the same ordering as ``decision_function`` (just
normalized).
>
> --
> Lars Buitinck
> Scientific programmer, ILPS
> University of Amsterdam
>
>
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--
Peter Prettenhofer
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