Metadata-Version: 2.1
Name: onepiecepredictor
Version: 1.2
Summary: Hyper Paramter Tuning and Models performance comparison
Home-page: https://github.com/vkurma/onepiecepredictor
Author: Vineel Kurma
Author-email: vineel.prince7@gmail.com
License: MIT
Keywords: onepiecepredictor,hyper parameter tuning
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
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scikit-learn
Requires-Dist: xgboost
Requires-Dist: catboost
Requires-Dist: category-encoders
Requires-Dist: imblearn

# onepiecepredictor Package

pip install onepiecepredictor

A Small package for hyper paramter tuning pipelining and comparing multiple models performance with very little code.

Its a wrapper around sklearn, xgboost, catboost, imblearn packages.

For examples and documentation, please check [Refer to this notebook](https://github.com/vkurma/onepiecepredictor/blob/master/Examples%20and%20Documentation.ipynb)



