Re: [Scikit-learn-general] Suggestions for the model selection module

Shouldn't these be improvements to scipy, rather than live in scikit-learn? Gaël On Mon, May 09, 2016 at 09:47:59AM +0200, Matthias Feurer wrote: > Hi Andy, > Having distributions objects would be useful for several reasons: > 1. Having a uniform way to programatically access the parameters of

Re: [Scikit-learn-general] Suggestions for the model selection module

Hi Andy, Having distributions objects would be useful for several reasons: 1. Having a uniform way to programatically access the parameters of all kinds of distribution objects. Currently, I could parse the 'args' item in 'distribution.__dict__'. I don't know how important this is for

Re: [Scikit-learn-general] Suggestions for the model selection module

Respected sir, on which project should i work on to increase my chances for gsoc 2017 .please,i need some guidance. On Sun, May 8, 2016 at 2:49 PM, Andreas Mueller wrote: > Hi Matthias. > Can you explain this point again? > Is it about the bad __repr__ ?

Re: [Scikit-learn-general] Suggestions for the model selection module

Hi Matthias. Can you explain this point again? Is it about the bad __repr__ ? Thanks, Andy On 05/07/2016 08:56 AM, Matthias Feurer wrote: Dear Joel, Thank you for taking the time to answer my email. I didn't see the PR on this topic, thanks for pointing me to that. I can see your points

Re: [Scikit-learn-general] Suggestions for the model selection module

Dear Joel, Thank you for taking the time to answer my email. I didn't see the PR on this topic, thanks for pointing me to that. I can see your points with regards to the get_params() method and it might be better if I write more serialization code on my side (although for example

Re: [Scikit-learn-general] Suggestions for the model selection module

On 7 May 2016 at 19:12, Matthias Feurer wrote: > 1. Return the fit and predict time in `grid_scores_` > This has been proposed for many years as part of an overhaul of grid_scores_. The latest attempt is currently underway at

[Scikit-learn-general] Suggestions for the model selection module

Dear scikit-learn team, First of all, the model selection module is really easy to use and has a nice and clean interface, I really like that. Nevertheless, while using it for benchmarks I found some shortcomings where I think the module could be improved. 1. Return the fit and predict time