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Feature Engineering Transformer Set

Project description

FETS

[![pipeline status](https://gitlab.com/redsharpbyte/fets/badges/master/pipeline.svg)](https://gitlab.com/redsharpbyte/fets/commits/master) [![coverage report](https://gitlab.com/redsharpbyte/fets/badges/master/coverage.svg)](https://gitlab.com/redsharpbyte/fets/commits/master)

Set of ready-to-use transformers for your feature engineering pipelines in scikit-learn.

Inspired by the number of times I had to rewrite transformers and by the number of times we all did exactly the same.

How-To

TODO

Main requirements

Installation

TODO ` red@spaceport# pip install fets `

Testing

` red@spaceport# pytest -v tests `

Project details


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Filename, size & hash SHA256 hash help File type Python version Upload date
fets-0.0.4-py2.py3-none-any.whl (7.4 kB) Copy SHA256 hash SHA256 Wheel py2.py3 Jun 13, 2018

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