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An implementation of MARS algorithm for Orange.

Project description

orangecontrib.earth provides a an implementation of Multivariate adaptive regression splines (MARS) for the Orange machine learning library. This implementation is based on the C code from R package earth by Stephen Milborrow.

Prerequisites

In order to use orangecontrib.earth you need to have already installed Orange (version 2.7 or latest).

If you are installing from source you will also need the a working C compiler tool-chain.

Installing

You can install it using pip or easy_install:

pip install orangecontrib.earth

or:

easy_install orangecontrib.earth

Project details


Release history Release notifications

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0.1.4

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0.1.3

This version
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0.1.2

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0.1.1

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0.1

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Filename, size & hash SHA256 hash help File type Python version Upload date
orangecontrib.earth-0.1.2-cp27-none-win32.whl (50.8 kB) Copy SHA256 hash SHA256 Wheel 2.7 Oct 16, 2013
orangecontrib.earth-0.1.2-py2.7-win32.egg (74.6 kB) Copy SHA256 hash SHA256 Egg 2.7 Oct 16, 2013
orangecontrib.earth-0.1.2.tar.gz (213.2 kB) Copy SHA256 hash SHA256 Source None Oct 16, 2013
orangecontrib.earth-0.1.2.win32-py2.7.exe (247.5 kB) Copy SHA256 hash SHA256 Windows Installer 2.7 Oct 16, 2013

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