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Rule Learning Python Packages

Python packages with the GitHub topic rule-learning. Sorted by relevance, with stars and monthly downloads.
csinva
imodels

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

52K 2K 138
mrapp-ke
mlrl-boomer

A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-Output Rules

8K 5 2
mrapp-ke
mlrl-common

A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-Output Rules

8K 5 2
mrapp-ke
mlrl-seco

A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-Output Rules

7K 5 2
xcsf-dev
xcsf

XCSF learning classifier system: rule-based online evolutionary machine learning

6K 36 13
linkedin
te2rules

Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.

908 66 8
mrapp-ke
mlrl-util

A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-Output Rules

678 5 2
mrapp-ke
mlrl-testbed

Provides utilities for the training and evaluation of machine learning algorithms

677 5 2
mrapp-ke
mlrl-testbed-sklearn

A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-Output Rules

519 5 2
mrapp-ke
mlrl-testbed-arff

A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-Output Rules

511 5 2
mrapp-ke
mlrl-testbed-slurm

Adds support for the Slurm Workload Manager to the package "mlrl-testbed"

367 5 2
KRLabsOrg
rulechef

Learn rule-based models from examples and LLM interactions

250 3 3
ParrotPrediction
pyalcs

Implementation of Anticipatory Learning Classifiers System (ALCS) in Python

94 10 18
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