Metadata-Version: 2.1
Name: scorecardbundle
Version: 1.2.2
Summary: The python scorecard modeling library
Home-page: https://github.com/Lantianzz/Scorecard-Bundle
Author: Lantian ZHANG
Author-email: blue.zhanglt@outlook.com
License: UNKNOWN
Keywords: Python Scorecard Modeling
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Financial and Insurance Industry
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE.txt

Scorecard-Bundle is a **high-level Scorecard modeling API** that is easy-to-use and **Scikit-Learn consistent**.  It covers the major steps to train a Scorecard model such as feature discretization with ChiMerge, WOE encoding, feature evaluation with information value and collinearity, Logistic-Regression-based Scorecard model, and model evaluation for binary classification tasks. All the transformer and model classes in Scorecard-Bundle comply with Scikit-Learn‘s fit-transform-predict convention.

See detailed documentation in https://scorecard-bundle.bubu.blue/

See the source codes of this project in https://github.com/Lantianzz/Scorecard-Bundle


