Thanks for the feedback Satraijit,
I'll make an optional ad-don once I've tidied the mess :)
Kind Regards
2012/10/29 Satrajit Ghosh <[email protected]>
> hey jaques,
>
> this is really great! one useful thing to add, if possible, would be to
> scrape the description of the parameter from the docstring.
>
> aside: if at some point in time, sklearn starts caring about provenance
> [1], this is a really good start at simply collecting terms.
>
> cheers,
>
> satra
>
> [1]
> http://dvcs.w3.org/hg/prov/raw-file/default/mhhttp://www.youtube.com/watch?v=s5F3EI21RTY&feature=g-vrechttp://www.youtube.com/watch?v=s5F3EI21RTY&feature=g-vrecttp://www.youtube.com/watch?v=s5F3EI21RTY&feature=g-vrecodel/prov-dm.html<http://dvcs.w3.org/hg/prov/raw-file/default/model/prov-dm.html>
>
> On Mon, Oct 29, 2012 at 9:26 AM, Jaques Grobler
> <[email protected]>wrote:
>
>> Hi everyone.
>>
>> I've put up a gist with a list of all the parameters, how many times and
>> where they occur, as well as for all the attributes.
>> The script that generates it is also in the gist - just know it's not the
>> prettiest due to borrowing data-gen code from tests and debugging things-
>> I'm still making it prettier - but I thought I'd just put this one up for
>> now for in case people wanted to see where
>> the numbers come from - this version of the script is pretty dogmatic and
>> fat but it reads easily enough and gets the job done.
>> The more important thing is the actual list anyway.
>> Obviously it's pretty difficult to doublecheck these numbers manually, so
>> if you see something fishy, let me know - there's a good chance
>> theres a mistake somewhere or a forgotten estimator or two that I didn't
>> see.
>>
>> Hopefully it can be used regarding API decisions etc.
>> Have a look:
>>
>> gist:https://gist.github.com/3973308
>>
>> Note that GIST displays the script first for some reason, so just scroll
>> past
>>
>>
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