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Status](https://readthedocs.org/projects/onelearn/badge/?version=latest)](https://onelearn.readthedocs.io/en/latest/?badge=latest)\n![PyPI - Python Version](https://img.shields.io/pypi/pyversions/onelearn)\n![PyPI - Wheel](https://img.shields.io/pypi/wheel/onelearn)\n[![GitHub stars](https://img.shields.io/github/stars/onelearn/onelearn)](https://github.com/onelearn/onelearn/stargazers)\n[![GitHub issues](https://img.shields.io/github/issues/onelearn/onelearn)](https://github.com/onelearn/onelearn/issues)\n[![GitHub license](https://img.shields.io/github/license/onelearn/onelearn)](https://github.com/onelearn/onelearn/blob/master/LICENSE)\n[![Coverage Status](https://coveralls.io/repos/github/onelearn/onelearn/badge.svg?branch=master)](https://coveralls.io/github/onelearn/onelearn?branch=master)\n\n# onelearn: Online learning in Python\n\n[Documentation](https://onelearn.readthedocs.io) | [Reproduce experiments](https://onelearn.readthedocs.io/en/latest/experiments.html) |\n\nonelearn stands for ONE-shot LEARNning. It is a small python package for **online learning** \nwith Python. It provides :\n\n- **online** (or **one-shot**) learning algorithms: each sample is processed **once**, only a \n  single pass is performed on the data\n- including **multi-class classification** and regression algorithms\n- For now, only *ensemble* methods, namely **Random Forests**\n\n## Installation\n\nThe easiest way to install onelearn is using pip\n\n    pip install onelearn\n\n\nBut you can also use the latest development from github directly with\n\n    pip install git+https://github.com/onelearn/onelearn.git\n\n## References\n\n    @article{mourtada2019amf,\n      title={AMF: Aggregated Mondrian Forests for Online Learning},\n      author={Mourtada, Jaouad and Ga{\\\"\\i}ffas, St{\\'e}phane and Scornet, Erwan},\n      journal={arXiv preprint arXiv:1906.10529},\n      year={2019}\n    }\n ","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fonelearn%2Fonelearn","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fonelearn%2Fonelearn","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fonelearn%2Fonelearn/lists"}