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.
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
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distributions
Hashes for orangecontrib.earth-0.1.win32-py2.7.exe
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 448fce5ce39655a86dc62b71476ba08d152681176dac83d234f7429fcf5af119 |
|
| MD5 | 8ba92996aa201c4f01b1f55790c14652 |
|
| BLAKE2b-256 | 318276efd84129824cef7e39c75fcb78ba496ece845626d7f619412e3f171b55 |
Hashes for orangecontrib.earth-0.1-py2.7-win32.egg
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | f0dd61abe9ba8b1f8067fd713205d1091f798b9174c7bc877b5596607eb5808e |
|
| MD5 | 9969a82ac3e0466937d5702afde20a7b |
|
| BLAKE2b-256 | 3af65dda76d2a33b32b0a6e0e326560b31200b91a8f011a193d6b2eecfaa6d4e |
Hashes for orangecontrib.earth-0.1-cp27-none-win32.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | b7b8a279d056b93a557d95a8425414ca8d9f57f1c92a7a964f7a929786db7877 |
|
| MD5 | 88bd195762304f60cbf718df2b5d9262 |
|
| BLAKE2b-256 | f6776ac2778ca50f5dfd7ad5980efdef66d379c69fc8e9b21fb029c74eb3af5d |
