Metadata-Version: 1.2
Name: xgbtune
Version: 1.0.0
Summary: Automated XGBoost tunning
Home-page: https://github.com/MainRo/xgbtune.git
Author: Romain Picard
Author-email: romain.picard@oakbits.com
License: MIT
Project-URL: Documentation, https://xgbtune.readthedocs.io
Description: 
        ==========
        XGBTune
        ==========
        
        
        .. image:: https://badge.fury.io/py/xgbtune.svg
            :target: https://badge.fury.io/py/xgbtune
        
        .. image:: https://github.com/mainro/xgbtune/workflows/Python%20package/badge.svg
            :target: https://github.com/mainro/xgbtune/actions?query=workflow%3A%22Python+package%22
            :alt: Github WorkFlows
        
        .. image:: https://readthedocs.org/projects/xgbtune/badge/?version=latest
            :target: https://xgbtune.readthedocs.io/en/latest/?badge=latest
            :alt: Documentation Status
        
        
        XGBTune is a library for automated XGBoost model tunning. Tunning an XGBoost
        model is as simple as a single function call.
        
        Get Started
        ============
        
        .. code:: python
        
            from xgbtune import tune_xgb_model
        
            params, round_count = tune_xgb_model(params, x_train, y_train)
        
Platform: any
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
