scikit-learn-contrib/scikit-learn-extra

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scikit-learn-contrib/scikit-learn-extra

scikit-learn-contrib

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scikit-learn contrib estimators

scikit-learn-extra - A set of useful tools compatible with scikit-learn

scikit-learn-extra is a Python module for machine learning that extends scikit-learn. It includes algorithms that are useful but do not satisfy the scikit-learn inclusion criteria, for instance due to their novelty or lower citation number.

Installation

Dependencies

scikit-learn-extra requires,

Python (>=3.7)
scikit-learn (>=0.24), and its dependencies

Installation

Latest release can be installed with conda,

conda install -c conda-forge scikit-learn-extra

or from PyPi with,

pip install scikit-learn-extra

License

This package is released under the 3-Clause BSD license.

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A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

sklearn-pandas

Pandas integration with sklearn

hdbscan

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category_encoders

A library of sklearn compatible categorical variable encoders

lightning

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boruta_py

Python implementations of the Boruta all-relevant feature selection method.

metric-learn

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MAPIE

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skope-rules

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DESlib

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A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines

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project-template

A template for scikit-learn extensions

forest-confidence-interval

Confidence intervals for scikit-learn forest algorithms

polylearn

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stability-selection

scikit-learn compatible implementation of stability selection.

skglm

Fast and modular sklearn replacement for generalized linear models

qolmat

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hiclass

A python library for hierarchical classification compatible with scikit-learn

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scikit-matter

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skdag

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denmune-clustering-algorithm

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Jupyter Notebook

mimic

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sklearn-ann

Integration with (approximate) nearest neighbors libraries for scikit-learn + clustering based on with kNN-graphs.

scikit-learn-contrib.github.io

Project webpage