Metadata-Version: 2.1
Name: realkd
Version: 0.2.0
Summary: Methods for knowledge discovery and interpretable machine learning.
Home-page: https://github.com/marioboley/realkd.py
Author: Mario Boley
Author-email: mario.boley@gmail.com
License: MIT
Description: # realkd.py
        
        Methods for knowledge discovery from data and interpretable machine learning.
        Currently, package contains primarily rule ensembles learners.
        
        ```
         >>> import pandas as pd
         >>> titanic = pd.read_csv('../datasets/titanic/train.csv')
         >>> survived = titanic.Survived
         >>> titanic.drop(columns=['PassengerId', 'Name', 'Ticket', 'Cabin', 'Survived'], inplace=True)
         >>> re = GradientBoostingRuleEnsemble(loss=logistic_loss)
         >>> re.fit(titanic, survived.replace(0, -1), verbose=0) 
            -1.4248 if Pclass>=2 & Sex==male
            +1.7471 if Pclass<=2 & Sex==female
            +2.5598 if Age<=19.0 & Fare>=7.8542 & Parch>=1.0 & Sex==male & SibSp<=1.0
        ```
        
        See the full [documentation](https://realkdpy.readthedocs.io/en/latest/index.html).
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.6
Description-Content-Type: text/markdown
