Giter Site home page Giter Site logo

copper's Introduction

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

copper's People

Contributors

danielfrg avatar littlea1 avatar

Watchers

 avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.