Mosaic

Mosaic is a Python library for pipeline optimization. This library implements Monte-Carlo Tree Search algorithm in order to find optimal pipeline.

Documentation

Installation

Requirements

• Python >= 3.5.6
• pygraphviz: necessary to generate dot image files (optional)

conda install graphviz
pip install pygraphviz

Install via Github:

pip install git+https://github.com/herilalaina/mosaic

Example of usage: machine learning

A simple example of using mosaic to configure machine learning pipeline made with PCA and SVM classifier.

python examples/machine_learning.py

Citation

If you are using mosaic in a academic presentation, we would appreciate citation

@inproceedings{ijcai2019-457,
  title     = {Automated Machine Learning with Monte-Carlo Tree Search},
  author    = {Rakotoarison, Herilalaina and Schoenauer, Marc and Sebag, Michèle},
  booktitle = {Proceedings of the Twenty-Eighth International Joint Conference on
               Artificial Intelligence, {IJCAI-19}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},             
  pages     = {3296--3303},
  year      = {2019},
  month     = {7},
  doi       = {10.24963/ijcai.2019/457},
  url       = {https://doi.org/10.24963/ijcai.2019/457},
}