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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 the following class, which can be used out-of-the-box like any scikit-learn estimator:

LogitBoost([base_estimator, n_estimators, …]) A LogitBoost classifier.


[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.