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.
Documentation: http://pythonhosted.org/orangecontrib.earth/
3 maintainers
Release files for orangecontrib.earth 0.1.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| orangecontrib.earth-0.1.4.tar.gz | 213.0 kB | Details |
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| orangecontrib.earth-0.1.4-py2.7-macosx-10.6-intel.egg | Legacy Egg format | - | - | Details |
| orangecontrib.earth-0.1.4-cp27-cp27m-macosx_10_6_intel.whl | CPython 2.7 | CPython 2.7 pymalloc | macOS 10.6+ Intel (x86-64, i386) | Details |
Total release size: 385.4 kB
Release files / orangecontrib.earth-0.1.4.tar.gz
| Download URL | orangecontrib.earth-0.1.4.tar.gz |
|---|---|
| Size | 213.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / orangecontrib.earth-0.1.4-py2.7-macosx-10.6-intel.egg
| Download URL | orangecontrib.earth-0.1.4-py2.7-macosx-10.6-intel.egg |
|---|---|
| Size | 98.2 kB |
| Tags | Egg |
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SHA-256 checksum How to use checksums |
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Release files / orangecontrib.earth-0.1.4-cp27-cp27m-macosx_10_6_intel.whl
| Download URL | orangecontrib.earth-0.1.4-cp27-cp27m-macosx_10_6_intel.whl |
|---|---|
| Size | 74.2 kB |
| Tags | CPython 2.7 CPython 2.7 pymalloc macOS 10.6+ Intel (x86-64, i386) |
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SHA-256 checksum How to use checksums |
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