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The LogitBoost algorithm

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This is a Python implementation of the LogitBoost classification algorithm [1] built on top of scikit-learn. It supports both binary and multiclass classification; see the examples.

This package provides a single class, LogitBoost, which can be used out-of-the-box like any sciki-learn estimator.

Documentation website:


The latest version of LogitBoost can be installed directly after cloning from GitHub.

git clone
cd logitboost
make install

Moreover, LogitBoost is on the Python Package Index (PyPI), so a recent version of it can be installed with the pip tool.

python -m pip install logitboost

This project was developed in Python 3.7, and it is tested to also work with Python 3.6.


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