In some cases, you can get more information from
classifier.decision_function(). The output will not be a probability but
can still be more useful than the binary result -- I'm thinking of
meta-classifiers or classifier evaluation. Caveat: there are likely gotchas
in going this direction if you don't know how the classifier works.
On Mon, Jul 28, 2014 at 11:14 AM, Lars Buitinck <[email protected]> wrote:
> 2014-07-28 18:39 GMT+02:00 Sheila the angel <[email protected]>:
> > For the classifier which do not provide probability estimate of the class
> > (gives error 'object has no attribute predict_proba " ), is there any
> easy
> > way to calculate the posterior probability?
>
> No. If there were, we would have implemented predict_proba.
>
> (Or yes, but it's always zero or one.)
>
>
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