The LogitBoost algorithm
Project description
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: https://logitboost.readthedocs.io
Installation
The latest version of LogitBoost can be installed directly after cloning from GitHub.
git clone https://github.com/artemmavrin/logitboost.git
cd logitboost
make installMoreover, 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 logitboostThis project was developed in Python 3.7, and it is tested to also work with Python 3.6.
References
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
