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 ;)
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 ;) Cheers, Andy ------------------------------------------------------------------------------ See everything from the browser to the database with AppDynamics Get end-to-end visibility with application monitoring from AppDynamics Isolate bottlenecks and diagnose root cause in seconds. Start your free trial of AppDynamics Pro today! http://pubads.g.doubleclick.net/gampad/clk?id=48808831&iu=/4140/ostg.clktrk _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
