Quick start

Warning

This package is a wrapper for Java library, and requires Java Development Kit version 8 or later to be installed on the computer. Both Open JDK and Oracle implementations are supported.

If you don’t have JDK installed on your computer you can quickly set it up using install-jdk package.

pip install install-jdk

import jdk

jdk.install('11', jre=True)

Installation

pip install rulekit

To check if everything was installed correctly call:

import rulekit
rulekit.__version__

It should run without errors and print package version.

Package usage

Now we are finally ready to use rulekit package and its models.

from  sklearn import  datasets
from rulekit import RuleKit
from rulekit.classification import RuleClassifier

iris = datasets.load_iris()
X = iris.data
y = iris.target

classifier = RuleClassifier()
classifier.fit(X, y)

prediction = classifier.predict(X)

from sklearn.metrics import accuracy_score

print('Accuracy: ', accuracy_score(y, prediction))

As you may noticed, training and usage of rulekit models is the same as in scikit learn. This mean you easily can use scikit: metrics, cross-validation, hyper-parameters tuning etc.

For more examples head to Tutorials section.