A set of useful tools for competitive data science.
To install Heamy, simply:
$ pip install -U heamy- Automatic caching (data preprocessing, predictions from models)
- Ensemble learning (stacking, blending, weighted average, etc.).
- Documentation: http://heamy.readthedocs.io/en/latest/
- Examples: https://github.com/rushter/heamy/tree/master/examples
- Ensemble learning guide http://mlwave.com/kaggle-ensembling-guide/