logitboost 0.4

The LogitBoost Classification Algorithm

This is a Python implementation of the LogitBoost algorithm [1] built on top of scikit-learn.

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 survive
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, but it should work with Python 2.7 and earlier Python 3 versions.

References

[1]

Jerome Friedman, Trevor Hastie, and Robert Tibshirani. “Additive Logistic Regression: A Statistical View of Boosting”. The Annals of Statistics. Volume 28, Number 2 (2000), pp. 337–374. JSTOR. Project Euclid.