Chris
I would like that
--Thanks,
Ronnie
On 10 December 2012 02:41, Andreas Mueller <[email protected]> wrote:
> Hi Chris.
> Thanks for your offer to contribute.
> I'm not familiar with the paper. Is this a generic way to do the
> multiclass -> binary transformation?
> Then this might be a good addition to the OneVsRestClassifier.
>
> I can not judge how relevant the technique is in practice, though.
> Do you (or anyone else) have any experience?
>
> Best,
> Andy
>
>
>
> On 12/06/2012 03:22 PM, Chris Brew wrote:
>
> Would people be interested in having the cost-sensitive one-versus-all
> reduction from Vowpal Wabbit in sklearn,multiclass?
>
> cf. http://hunch.net/~beygel/woa.pdf
>
> It looks to me like a feasible thing to implement, given the description
> in the paper, the implementation in vw and the existing code in sklearn, To
> do this I would use the sample_weight parameter to the fit method on the
> underlying binary classifier, which would limit applicability to the
> classifiers that support that.
>
>
> I would be a first-time contributor, so I might be underestimating what
> is involved. What do people think?
>
> Chris
> --
> Chris Brew, Educational Testing Service
>
>
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