A set of useful tools for competitive data science.
Installation
To install Heamy, simply:
$ pip install -U heamy
Features
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
Metadata
Release files for heamy 0.0.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| heamy-0.0.7.tar.gz | 30.5 kB | Details |
Release files / heamy-0.0.7.tar.gz
| Download URL | heamy-0.0.7.tar.gz |
|---|---|
| Size | 30.5 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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