8000 DOC/MNT remove sklearn-evaluation and py-earth by lorentzenchr · Pull Request #30997 · scikit-learn/scikit-learn · GitHub
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merged 2 commits into from
Mar 15, 2025
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DOC/MNT remove sklearn-evaluation and py-earth #30997

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MNT remove sklearn-evaluation
lorentzenchr Mar 15, 2025
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MNT remove py-earth
lorentzenchr Mar 15, 2025
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12 changes: 2 additions & 10 deletions doc/related_projects.rst
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Expand Up @@ -47,7 +47,7 @@ enhance the functionality of scikit-learn's estimators.
the objects that EvalML creates use an sklearn-compatible API.

- `MLJAR AutoML <https://github.com/mljar/mljar-supervised>`_
Python package for AutoML on Tabular Data with Feature Engineering,
Python package for AutoML on Tabular Data with Feature Engineering,
Hyper-Parameters Tuning, Explanations and Automatic Documentation.

**Experimentation and model registry frameworks**
Expand All @@ -74,11 +74,6 @@ enhance the functionality of scikit-learn's estimators.
- `dtreeviz <https://github.com/parrt/dtreeviz/>`_ A python library for
decision tree visualization and model interpretation.

- `sklearn-evaluation <https://github.com/ploomber/sklearn-evaluation>`_
Machine learning model evaluation made easy: plots, tables, HTML reports,
experiment tracking and Jupyter notebook analysis. Visual analysis, model
selection, evaluation and diagnostics.

- `yellowbrick <https://github.com/DistrictDataLabs/yellowbrick>`_ A suite of
custom matplotlib visualizers for scikit-learn estimators to support visual feature
analysis, model selection, evaluation, and diagnostics.
Expand Down Expand Up @@ -121,7 +116,7 @@ enhance the functionality of scikit-learn's estimators.

- `BiocSklearn <https://bioconductor.org/packages/BiocSklearn>`_
Exposes a small number of dimension reduction facilities as an illustration
of the basilisk protocol for interfacing python with R. Intended as a
of the basilisk protocol for interfacing python with R. Intended as a
springboard for more complete interop.


Expand Down Expand Up @@ -206,9 +201,6 @@ Note scikit-learn own modern gradient boosting estimators

**Other regression and classification**

- `py-earth <https://github.com/scikit-learn-contrib/py-earth>`_ Multivariate
adaptive regression splines

- `gplearn <https://github.com/trevorstephens/gplearn>`_ Genetic Programming
for symbolic regression tasks.

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