yes, I think that statement is imprecise, at least in the context of
nearest neighbours, and I think it is the kind of statement that is hard to
maintain consistent with the library in any case. No issue has been opened
to my knowledge. thanks for following up, and feel free to submit a PR even
What I meant was - The docstrings of sklearn/neighbours is incorrect.
As stated by jnothman - "it looks like those docs in nearest
neighbors are incorrect. When using ball tree and kdtree, the metrics
listed in dist_metrics.pyx are available, and they match many of those
offered in scipy, but are
I don't know what you're asking. The documentation at
http://scikit-learn.org/dev should request that pull request
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Hi,
So a few days ago I made a PR and after working around a bit it was
concluded that the docs of neighbours are incorrect.
Just wanted to know if an issue was opened for the incorrect docs or not.
More details about this issue -
https://github.com/scikit-learn/scikit-learn/pull/9727
