mablars: Markov blanket rule generation frameworks in Python
Mablars is a Python package to generate causal rules for fuzzy systems.
The package is actively being developed. Feedbacks (issues, suggestions, etc.) are highly encouraged.
Package Overview
-
Markov blanket rule generation framework (MABLAR) (paper:https://ieeexplore.ieee.org/abstract/document/9659303)
-
MABLAR-Causal Direction (MABLAR-CD) (paper:https://ieeexplore.ieee.org/abstract/document/10309808)
Install
Mablars needs the following packages to be installed beforehand:
- python 3.8
- matplotlib
- numpy
- causal-learn
- scikit-learn
- python-weka-wrapper3
To use mablars, we could install it using pip:
pip install mablars
HTML Documentation:
You can find detailed documentation on a browsable site in the following directory:
mablars/docs/_build/html/index.html
1 maintainer
Metadata
1 maintainer
Release files for mablars 0.1.9
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| mablars-0.1.9.tar.gz | 8.9 kB | Without provenance | Details for mablars-0.1.9.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| mablars-0.1.9-py3-none-any.whl | Python 3 | none | any | Details for mablars-0.1.9-py3-none-any.whl |
Total release size: 22.2 kB
Release files / mablars-0.1.9.tar.gz
| Download URL | mablars-0.1.9.tar.gz |
|---|---|
| Size | 8.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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twine/5.1.1 CPython/3.8.15
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Release files / mablars-0.1.9-py3-none-any.whl
| Download URL | mablars-0.1.9-py3-none-any.whl |
|---|---|
| Size | 13.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.8.15
|
Security for mablars 0.1.9
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