I'd be interested in the linear models, Gaussian processes, trees, KNN and SVMs.

To be honest, I did not try them all out recently (last time november
or so), I just skimmed the docs and checked whether anything changed.



On 30 April 2012 12:23, Andreas Mueller <[email protected]> wrote:
> Hi Justin.
> Some regressors already support multiple outputs.
> I think it would be best if all did.
> Which one are you using that doesn't support it?
> For SVC and forests, I guess the best would be to have
> a meta-estimator for the moment.
>
> This would certainly be a helpful feature.
>
> Cheers,
> Andy
>
> Am 30.04.2012 12:20, schrieb Justin Bayer:
>> Hi,
>>
>> I have a regression problem where I map a set of inputs X to a set of
>> outputs y_1, y_2, .. y_k. From what I see, the current models support
>> fitting with a single response variable, but not with more. From a
>> programming perspective this is rather tedious, since I have to treat
>> those in an outer loop and somehow put them together in a joint array
>> afterwards again. To be honest, I have not made up my mind what the
>> best way to deal with this is. I'd probably write some kind of wrapper
>> class.
>>
>> I wonder what the best practice is to do this with sklearn.
>>
>>
>> Best,
>> -Justin
>>
>
>
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-- 
Dipl. Inf. Justin Bayer
Lehrstuhl für Robotik und Echtzeitsysteme, Technische Universität München
http://www6.in.tum.de/Main/Bayerj

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