The Set Covering Machine algorithm
Project description
pySCM
A fast implementation of the Set Covering Machine algorithm using a dynamic programming algorithm to select the rules of greatest utility.
Marchand, M., & Taylor, J. S. (2003). The set covering machine. Journal of Machine Learning Research, 3, 723–746.
Installation
pip install pyscm-ml
or
python setup.py install
Running tests
python setup.py test
Contributors
- Alexandre Drouin (package maintainer)
- Francis Brochu
- Gaël Letarte St-Pierre
- Mazid Osseni
- Pier-Luc Plante
- Thibaud Godon
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pyscm-ml-1.0.3.tar.gz
(13.1 kB
view details)
Built Distribution
File details
Details for the file pyscm-ml-1.0.3.tar.gz.
File metadata
- Download URL: pyscm-ml-1.0.3.tar.gz
- Upload date:
- Size: 13.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | a4b10a0d77bfc807074297cb9b9b495aee8df885baba6c938172dd00f87d0c02 |
|
| MD5 | 81207caf1f89df92852d5252addc5a3b |
|
| BLAKE2b-256 | 7b0cf7fab775e1a2c01da5ff45d563d62021e878926decb04cb061047ccb144a |
File details
Details for the file pyscm_ml-1.0.3-cp37-cp37m-macosx_10_15_x86_64.whl.
File metadata
- Download URL: pyscm_ml-1.0.3-cp37-cp37m-macosx_10_15_x86_64.whl
- Upload date:
- Size: 30.3 kB
- Tags: CPython 3.7m, macOS 10.15+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | c5e2d0860da8ed2c4da48e2e9177cac0498f5f265b8c81f95e01d7da622bafcb |
|
| MD5 | 07ca1b98ce52747cb3b6a89d3e165fca |
|
| BLAKE2b-256 | cdc85d18bfbe73e4da74b8275a49d472214d9f1d04b400bd7459d742512da750 |
