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Fast, easy and intuitive machine learning prototyping.
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README.md

Copper Travis CI

Copper objective is to make machine learning prototyping on python as fast and intuitive as possible. To do so connects via the Dataset and Model Comparison classes the pandas and scikit-learn projects.

Examples

  1. Iris classification

More information on: copper.readthedocs.com

Requirements

  1. pandas
  2. scikit-learn

Note: The package is currently developed for Python 2.7 because scikit-learn does not support python 3 yet. When scikit-learn supports python 3 this project will drop support for python 2 becuase all requirements will support python 3.

I recommend using the Anaconda python distribution

Install

pip install copper

TODO

Better tests for Model Comparison Add missing metrics to Model Comparison

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