Scikit-learn-extra

Latest version: v0.3.0

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0.2.0

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*April 14, 2021*

- Add :class:`~sklearn_extra.robust.RobustWeightedClassifier`,
:class:`~sklearn_extra.robust.RobustWeightedRegressor` and
:class:`~sklearn_extra.robust.RobustWeightedKMeans` estimators that rely on
iterative reweighting of samples to be robust to
outliers. [`42 <https://github.com/scikit-learn-contrib/scikit-learn-extra/pull/42>`_].
- Added Common Nearest-Neighbors clustering estimator
:class:`~sklearn_extra.cluster.CommonNNClustering`
[`64 <https://github.com/scikit-learn-contrib/scikit-learn-extra/pull/64>`_]
- Added PAM algorithm to :class:`~sklearn_extra.cluster.KMedoids` with ``method="pam"`` parameter
which produces better solutions but at higher computational cost
[`73 <https://github.com/scikit-learn-contrib/scikit-learn-extra/pull/73>`_]
- Binary wheels were uploaded to PyPi, making the installation possible without a C compiler
[`66 <https://github.com/scikit-learn-contrib/scikit-learn-extra/pull/66>`_]

List of contributors (in alphabetical order)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Christos Aridas, Jan-Oliver Joswig, Timothée Mathieu, Roman Yurchak

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