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Online machine learning methods

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# onelearn: Online learning in Python

[Documentation](https://onelearn.readthedocs.io) | [Reproduce experiments](https://onelearn.readthedocs.io/en/latest/experiments.html) |

onelearn stands for ONE-shot LEARNning. It is a small python package for **online learning** 
with Python. It provides :

- **online** (or **one-shot**) learning algorithms: each sample is processed **once**, only a 
  single pass is performed on the data
- including **multi-class classification** and regression algorithms
- For now, only *ensemble* methods, namely **Random Forests**

## Installation

The easiest way to install onelearn is using pip

pip install onelearn

But you can also use the latest development from github directly with

pip install git+https://github.com/onelearn/onelearn.git

## References

@article{mourtada2019amf,
      title={AMF: Aggregated Mondrian Forests for Online Learning},
      author={Mourtada, Jaouad and Ga{\"\i}ffas, St{\'e}phane and Scornet, Erwan},
      journal={arXiv preprint arXiv:1906.10529},
      year={2019}
    }

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