Or perhaps the docs should consider including a glossary that translates
some of these meanings and specifies what is preferred for sklearn
development/documentation.
On Thu, Jun 6, 2013 at 2:17 AM, Andreas Mueller <amuel...@ais.uni-bonn.de>wrote:
> On 06/04/2013 08:27 PM, Tom Fawcett wrote:
> > On Jun 4, 2013, at 2:38 AM, Lars Buitinck <l.j.buiti...@uva.nl> wrote:
> >
> >> 2013/6/4 Joel Nothman <jnoth...@student.usyd.edu.au>:
> >>> NLP folks pass the blame to IR folks :P
> >> ... and IR folks always mean absolute frequency, unless stated
> otherwise.
> > Coming from ML, I’ve seen it used as both absolute and relative.
> >
> > ML (and sklearn) is at the junction of several fields, and there are
> numerous terms (bias, convex, confidence, support, frequency, decision
> tree) with conflicting meanings. I suggest where there is a chance for
> confusion the documentation should make meanings explicit.
> >
> Sure. If you see anything that can be improved, open an issue or do a
> pull-request.
> Simple documentation improvements are very welcome!
> (when is convex confusing btw?)
>
>
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