Metadata-Version: 2.4
Name: Aquilonen
Version: 0.1.1
Summary: A package with the intention of simplifying machine learning workflows
Author-email: Christopher Turnbull <cturnbul@umich.edu>
License-Expression: MIT
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: playwright
Requires-Dist: tf-playwright-stealth
Requires-Dist: statsmodels
Requires-Dist: numpy
Dynamic: license-file

This library is intended to streamline certain processes in machine learning workflows that seem to be missing
Currently it only contains 2 major components:
1. Cross Validating an ARIMA statsmodel instead of relying on bic or aic, which are tentative 
    - this is currently set to cross validate to the fullest extent possible which will be updated for flexibility in future version to avoid the speed issues
2. An drastically simplified version of playwright for web scraping
