2013/7/12 Andreas Mueller <amuel...@ais.uni-bonn.de>
> On 07/12/2013 01:26 AM, Robert Layton wrote:
> > Structured prediction in sklearn was one of the outcomes from the survey.
> > Would it be a better idea to send people to pystruct, rather than
> > implement it here?
> >
> I think so. We decided that structured prediction was out of scope for
> sklearn, right?
> I tried a simple approach for encoding the inputs - which is basically
> tuples of nd-arrays for each instance -
> but I'm not sure that will really scale. I might need custom classes to
> encode the input.
> Also, the project moves way faster than sklearn does currently.
> Rob Zinkov asked me when pystruct will be included in scikit-learn. My
> answer was: never ;)
>
I think its much better to have it as a separate project - this way you can
iron out the API much faster
>
> Of course you can try to convince me otherwise once pystruct is more
> mature, but I think
> the difference in target group and input format is quite big. Also, the
> project has a ton of requirements
> - we are working to make this more manageable but having cvxopt as a
> hard requirement
> is probably necessary.
>
> About naming it scikit-struct: is there any requirement to become a scikit?
> Also: is there much benefit - pandas seems to be doing quite well
> without the brand ;)
>
totally agree
>
> Cheers,
> Andy
>
>
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