Hi Karthick,
This is a frequent request, and hopefully we will soon find consensus on an
API for it. Please see
https://github.com/scikit-learn/scikit-learn/issues/1850 and offer any
suggestions!
Cheers,
Joel
On Thu, Dec 5, 2013 at 1:17 AM, Karthick M <[email protected]> wrote:
> Hi,
> Is there any way to do GridSearch on multiple scoring functions without
> having to repeat the fit/predict process for each function?
>
> (e.g.: grid_search_digits.py - In this example, GridSearch is run twice,
> once each for precision and recall. )
>
> Possible Solution: Manual approach. Use IterGrid and take care of
> fit/predict/scoring manually.
> Problem: But this means I have to forego the library's builtin
> parallelization features which *really* speed things up. (n_jobs=-1 :) )
>
>
> Thanks,
> Karthick
> --
> A positive attitude may not solve all your problems, but it will annoy
> enough people to make it worth the effort.
>
>
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