orangecontrib.earth

An implementation of MARS algorithm for Orange.

These details have not been verified by PyPI

Project links

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.

On Windows install the free Microsoft Visual C++ 2008 Express (direct download link)
On Linux use you distribution’s package management tools to install gcc
On Mac OSX install the XCode developer tools

Installing

You can install it using pip or easy_install:

pip install orangecontrib.earth

or:

easy_install orangecontrib.earth

Project details

These details have not been verified by PyPI

Project links

Release history Release notifications | RSS feed

0.1.4

Mar 31, 2016

0.1.3

Mar 31, 2014

0.1.2

Oct 16, 2013

This version

0.1.1

Sep 16, 2013

0.1

Sep 9, 2013

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

orangecontrib.earth-0.1.1.tar.gz (213.1 kB view details)

Uploaded Sep 16, 2013 Source

Built Distributions

orangecontrib.earth-0.1.1.win32-py2.7.exe (293.2 kB view details)

Uploaded Sep 16, 2013 Source

orangecontrib.earth-0.1.1-py2.7-win32.egg (144.4 kB view details)

Uploaded Sep 16, 2013 Source

orangecontrib.earth-0.1.1-cp27-none-win32.whl (96.7 kB view details)

Uploaded Sep 16, 2013 CPython 2.7 Windows x86

File details

Details for the file orangecontrib.earth-0.1.1.tar.gz.

File metadata

Download URL: orangecontrib.earth-0.1.1.tar.gz
Upload date: Sep 16, 2013
Size: 213.1 kB
Tags: Source
Uploaded using Trusted Publishing? No

File hashes

Hashes for orangecontrib.earth-0.1.1.tar.gz
Algorithm	Hash digest
SHA256	`60e368533656dd3956fb8f275a75b02351dbb53ec58d6f0ba8f37f14e9464cbf`
MD5	`35dde4d4ea1eebf45cbff4514e4926df`
BLAKE2b-256	`5040bebcafe1c76fd8f9b7d5182a82e265b1b882061ed7f3d0d1f26637a7317a`

See more details on using hashes here.

File details

Details for the file orangecontrib.earth-0.1.1.win32-py2.7.exe.

File metadata

Download URL: orangecontrib.earth-0.1.1.win32-py2.7.exe
Upload date: Sep 16, 2013
Size: 293.2 kB
Tags: Source
Uploaded using Trusted Publishing? No

File hashes

Hashes for orangecontrib.earth-0.1.1.win32-py2.7.exe
Algorithm	Hash digest
SHA256	`db4e38dead6f712dd2e716adfdd111206df08721ad68d326f21094bd71ae6d35`
MD5	`5b81b0a3a42bfa98a8de4c0e7c17d697`
BLAKE2b-256	`1060bc1dda9a420f1459a37aaf11e691f6ead9124187361ca1c2157b8cda2811`

See more details on using hashes here.

File details

Details for the file orangecontrib.earth-0.1.1-py2.7-win32.egg.

File metadata

Download URL: orangecontrib.earth-0.1.1-py2.7-win32.egg
Upload date: Sep 16, 2013
Size: 144.4 kB
Tags: Source
Uploaded using Trusted Publishing? No

File hashes

Hashes for orangecontrib.earth-0.1.1-py2.7-win32.egg
Algorithm	Hash digest
SHA256	`0ce013e8d68ab8976b2fd5c5ce4d994462c627249e2b33c3cf9568caafb93d9c`
MD5	`4e1d1329c5db40ee0667eda21293ac6c`
BLAKE2b-256	`5b5b5e5d433216357f20ac43fadaa83c5d438a6adc5dc6aba9dabe6a44fcca05`

See more details on using hashes here.

File details

Details for the file orangecontrib.earth-0.1.1-cp27-none-win32.whl.

File metadata

Download URL: orangecontrib.earth-0.1.1-cp27-none-win32.whl
Upload date: Sep 16, 2013
Size: 96.7 kB
Tags: CPython 2.7, Windows x86
Uploaded using Trusted Publishing? No

File hashes

Hashes for orangecontrib.earth-0.1.1-cp27-none-win32.whl
Algorithm	Hash digest
SHA256	`0219234bea4aff8604d1a561aaa82f8ebe065a243c6345bbe309a556e8904af9`
MD5	`cd0269daa3ffe8e3557eeb830b64478d`
BLAKE2b-256	`45c93d3779171031b274e31b7d36b76ad78c159cf11d2ed06769713270fec7b9`