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.).

• API reference: https://heamy.readthedocs.io/en/latest/
• Examples: https://github.com/rushter/heamy/tree/master/examples
• Ensemble learning guide https://mlwave.com/kaggle-ensembling-guide/