Metadata-Version: 2.1
Name: bokbokbok
Version: 0.2
Summary: Custom Losses and Metrics for XGBoost, LightGBM, CatBoost
Home-page: https://github.com/orchardbirds/bokbokbok
Author: Daniel Timbrell
Author-email: dantimbrell@gmail.com
License: Open Source
Description: <img src="https://github.com/orchardbirds/bokbokbok/raw/main/docs/img/bokbokbok.png" width="120" align="right">
        
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        # bokbokbok
        
        ## Overview
        
        **bokbokbok** is a python package that enables you to use Custom Loss Functions and Evaluation Metrics for XGBoost and LightGBM.
        Main features:
        
        - Weighted Cross Entropy
        - Focal Loss
        - Squared Log Error
        - Log Cosh Loss
        - F1 score
        
        ## Installation
        
        ```bash
        pip install bokbokbok
        ```
        
        ## Documentation
        
        The documentation can [be found here.](https://orchardbirds.github.io/)
        
        ## Contributing
        
        To learn more about making a contribution to bokbokbok, please see CONTRIBUTING.md.
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3 :: Only
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Provides-Extra: base
Provides-Extra: all
