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.
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Metadata
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Release files for logitboost 0.7
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| logitboost-0.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 18.3 kB
Release files / logitboost-0.7.tar.gz
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| Tags | Python 3 |
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