[scikit-learn] API Discussion: Where shall we put the plotting functions?

[Trevor Stephens]

I think #1 if any of these... Plotting functions should hopefully be as
general as possible, so tagging with a specific type of estimator will, in
some scikit-learn utopia, be unnecessary.

If a general plotter is built, where does it live in other
estimator-specific namespace options? Feels awkward to put it under every
estimator's namespace.

Then again, there might be a #4 where there is no plot module and plotting
classes live under groups of utilities like introspection, cross-validation
or something?...

On Wed, Apr 3, 2019 at 8:54 PM Andrew Howe <ahowe42 at gmail.com> wrote:

> My preference would be for (1). I don't think the sub-namespace in (2) is
> necessary, and don't like (3), as I would prefer the plotting functions to
> be all in the same namespace sklearn.plot.
>
> Andrew
>
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>
> On Tue, Apr 2, 2019 at 3:40 PM Hanmin Qin <qinhanmin2005 at sina.com> wrote:
>
>> See https://github.com/scikit-learn/scikit-learn/issues/13448
>>
>> We've introduced several plotting functions (e.g., plot_tree and
>> plot_partial_dependence) and will introduce more (e.g.,
>> plot_decision_boundary) in the future. Consequently, we need to decide
>> where to put these functions. Currently, there're 3 proposals:
>>
>> (1) sklearn.plot.plot_YYY (e.g., sklearn.plot.plot_tree)
>>
>> (2) sklearn.plot.XXX.plot_YYY (e.g., sklearn.plot.tree.plot_tree)
>>
>> (3) sklearn.XXX.plot.plot_YYY (e.g., sklearn.tree.plot.plot_tree, note
>> that we won't support from sklearn.XXX import plot_YYY)
>>
>> Joel Nothman, Gael Varoquaux and I decided to post it on the mailing list
>> to invite opinions.
>>
>> Thanks
>>
>> Hanmin Qin
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