A SAT-based toolkit for learning optimal decision sets
Project description
minds is a Python toolkit, which can be used for computing minimum size decisions sets, i.e. unordered sets of if-then rules. The toolkit represents a set of pure Python modules, which can be used in a Python script in the standard way through the provided API. Additionally, it contains an executable mds.py, which can be applied for constructing a smallest size decision set for a training dataset in CSV.
Details can be found at https://github.com/alexeyignatiev/minds.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
minds-kit-0.0.1.dev2.tar.gz
(36.4 kB
view details)
File details
Details for the file minds-kit-0.0.1.dev2.tar.gz.
File metadata
- Download URL: minds-kit-0.0.1.dev2.tar.gz
- Upload date:
- Size: 36.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.0 setuptools/51.1.1 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.9.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
34faab12458b3b3454e81beb27840fa01cce730f110c7c4934c473f512586422
|
|
| MD5 |
c645f8af449a78310a314e52cc0ccf26
|
|
| BLAKE2b-256 |
4e91bfbffffe8c4ca96f4f9a6bcf109fe50ed3bca881c0647fd375c18d8f7a32
|
