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/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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