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