https://github.com/danielfrg/copper

Fast, easy and intuitive machine learning prototyping.
https://github.com/danielfrg/copper

Last synced: 11 months ago
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Fast, easy and intuitive machine learning prototyping.

• Host: GitHub
• URL: https://github.com/danielfrg/copper
• Owner: danielfrg
• License: other
• Archived: true
• Created: 2013-01-16T18:56:37.000Z (over 13 years ago)
• Default Branch: master
• Last Pushed: 2014-06-03T00:41:10.000Z (about 12 years ago)
• Last Synced: 2024-11-27T06:36:35.648Z (over 1 year ago)
• Language: Python
• Homepage:
• Size: 39.3 MB
• Stars: 124
• Watchers: 14
• Forks: 26
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGES.txt
  • License: LICENSE.txt

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README

          
Copper ![Travis CI](https://api.travis-ci.org/danielfrg/copper.png)

======

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](http://nbviewer.ipython.org/urls/raw.github.com/danielfrg/copper/master/docs/examples/iris/iris.ipynb)

More information on: [copper.readthedocs.com](http://copper.readthedocs.org/en/latest/)

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](http://docs.continuum.io/anaconda/index.html)

Install

-------

`pip install copper`

TODO

----

Better tests for Model Comparison

Add missing metrics to Model Comparison