feature engineering in machine learning, with Numpy arrays as the data type.
Use Megatron if you want to:
- Do feature engineering in a modular and functional way, building up features one step at a time
- Use disk space to save time by caching feature sets for easy reloading
- Train feature engineering modules on training data and apply them to testing data
- Write custom functions for complex transformations, but access built-in functions for quick and common transformations
- Build feature engineering like you build Keras models (the API is heavily inspired by Keras)
Or any combination of these.
Megatron is distributed under the MIT license.
2 maintainers
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2 maintainers
Release files for Megatron 0.5.1
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| File | Size | Uploaded | Provenance | Actions |
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| Megatron-0.5.1.tar.gz | 21.3 kB | Without provenance | Details for Megatron-0.5.1.tar.gz |
Release files / Megatron-0.5.1.tar.gz
| Download URL | Megatron-0.5.1.tar.gz |
|---|---|
| Size | 21.3 kB |
| Tags | Source |
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twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.25.0 CPython/3.7.2
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