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