rulekit 1.7.3

Comprehensive suite for rule-based learning

Rulekit

This package is python wrapper for RuleKit library - a versatile tool for rule learning.

Based on a sequential covering induction algorithm, it is suitable for classification, regression, and survival problems.

Installation

NOTE: This package is a wrapper for Java library, it requires Java (version 1.8.0 tested) to be installed on the computer. Both Open JDK and Oracle implementations are supported.

pip install rulekit
 
# after installation
python -m rulekit download_jar

The second command will fetch the latest RuleKit library jar file from its Github releases page. It is required to use this package.

Running tests

If you're running tests for the first time (or you want to update existing tests resources) you need to download tests resources from RuleKit repository. You can do it by running:

python tests/resources.py download

Runing tests:
In directory where setup.py file exists.

python -m unittest discover ./tests

Sample usage

from rulekit import RuleKit
from rulekit.classification import RuleClassifier
from sklearn.datasets import load_iris
 
X, y = load_iris(return_X_y=True)
 
clf = RuleClassifier()
clf.fit(X, y)
prediction = clf.predict(X)
 
print(prediction)

Documentation

Full documentation is available here