Metadata-Version: 2.1
Name: hierarchical-bay-cat-encoder
Version: 0.4.5
Summary: Bayesian target encoder with the capacity to encode classes derived from categorical features that relate to one another in a hierarchical structure.
Home-page: https://github.com/libinruan/hierarchical_bayesian_target_encoder
Author: Li-Pin Juan
Author-email: lipin.juan02@gmail.com
License: UNKNOWN
Description: 
        # Hierarichcial Bayesian Target Encoder
        `hierarchical-bay-cat-encoder` is a Python library for encoding classes of cross features derived from categorical features that relate to one another in a herarchival structure. It facilitates the process of converting categorical features into continuous variables based on the information with respect to target responses, a data preprocessing practice that often improves model performnace in machine learning and is one of well adopted winner techiniques in Kaggle competitions for tabular/structured data.
        
        
        
        [![license](https://img.shields.io/badge/license-MIT-blue.svg)](/LICENSE)
        ![python version](https://img.shields.io/badge/python-3.6%2C3.7%2C3.8-blue?logo=python)
        
        
        
        
        # Feedback
        Comments and suggestions are welcome and appreciated. They can be sent to
        lipin.juan02@gmail.com.
        
        
Keywords: target encoder,bayesian,bayes,categorical features,hierarchical
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
