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[MRG] Add sparse input and sparse precomputed distances to sklearn/cluster/_optics.py #20802

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yskybloue
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Reference Issues/PRs

Fixes #11982 , Fixes #14736 (Continues work from stalled PR)

What does this implement/fix? Explain your changes.

Makes OPTICS.fit(self, X, y=None) support sparse matrix X of shape (n_samples,n_features) or (n_samples,n_samples) if precomputed distances.

@cmarmo
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cmarmo commented Nov 17, 2021

Hi @Clickedbigfoot, sorry your pull request went lost.
If you are still interested in this contribution, do you mind synchronizing with upstream?
This way documentation build and continuous integration will run again.
Thanks for your patience!

@JSchuerz
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JSchuerz commented Mar 6, 2022

Hi @cmarmo, if it is okay with you I will pick up this stalled PR and continue @Clickedbigfoot's work in order to fix #11982. I have merged his PR to (a new branch of) my fork and will continue working from there. When I'm done, which probably will take a while, I'll open a new PR. Do you agree? And how do I correctly cite his work?

@cmarmo
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cmarmo commented Mar 7, 2022

I have merged his PR to (a new branch of) my fork and will continue working from there. When I'm done, which probably will take a while, I'll open a new PR. Do you agree? And how do I correctly cite his work?

Hi @JSchuerz, please go ahead! :)
You will find here and here some documentation about how to take over stalled pull requests.

@cmarmo cmarmo added Superseded PR has been replace by a newer PR and removed help wanted labels Mar 30, 2022
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OPTICS should support sparse matrices and precomputed distances
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