8000 Path to HDBSCAN Inclusion · Issue #24686 · scikit-learn/scikit-learn · GitHub
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Micky774 opened this issue Oct 17, 2022 · 5 comments
Closed
13 tasks done

Path to HDBSCAN Inclusion #24686

Micky774 opened this issue Oct 17, 2022 · 5 comments
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module:cluster New Feature

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@Micky774
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Micky774 commented Oct 17, 2022 •
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Introduction

The HDBSCAN estimator implementation from scikit-learn-contrib/hdbscan has been adopted, modified and refactored to conform to scikit-learn API and is now merged into the hdbscan feature branch. There are still several changes to be made both before and after merging hdbscan-->main, and the goal of this issue is to serve as a tracker for the remaining changes, as well as to host meta discussion regarding the estimator as a whole as needed.

In particular, I would encourage discussion regarding:

  1. What other tasks may be relevant/necessary for HDBSCAN overall.
  2. What tasks should be promoted from follow-up work to mandatory work before merging into main.

To do for merger into main

Mandatory work before consideration for final merger

Follow-up after merger into main

Discussion regarding follow-up tasks has been moved to #26801

CC: @thomasjpfan @jjerphan @glemaitre
@github-actions github-actions bot added the Needs Triage Issue requires triage label Oct 17, 2022
@Micky774 Micky774 moved this from Todo📬 to In Progress🏗 in Quansight's scikit-learn Project Board Oct 17, 2022
@Micky774 Micky774 added New Feature module:cluster and removed Needs Triage Issue requires triage labels Oct 17, 2022
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@ion-elgreco
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@Micky774 is HDBSCAN already available? Or are there still some things pending?

@Micky774
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Micky774 commented Jun 29, 2023 •
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@Micky774 is HDBSCAN already available? Or are there still some things pending?

It is currently available on main and will be included in the 1.3.0 release (see docs) 😄

@ion-elgreco
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@Micky774 is HDBSCAN already available? Or are there still some things pending?

It is currently available on main and will be included in the 1.3.0 release (see docs) 😄

Ah awesome!

@jjerphan
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You can try the release candidate by installing it from PyPi with:

pip install scikit-learn==1.3.0rc1

You can also install it from conda-forge with:

mamba install -c conda-forge/label/scikit-learn_rc scikit-learn==1.3.0rc1

@Micky774
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Micky774 commented Jul 7, 2023

Closing due to inclusion in 1.3.0

For discussion regarding follow-up work, please see #26801

Thanks again to everyone involved 😄

@Micky774 Micky774 closed this as completed Jul 7, 2023
@github-project-automation github-project-automation bot moved this from In Progress🏗 to Done🚀 in Quansight's scikit-learn Project Board Jul 7, 2023
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