Metadata-Version: 2.4
Name: Aquilonen
Version: 2.1.0
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

Note that versioning labels are incorrect prior to 1.0.0

This library is intended to streamline certain processes in machine learning workflows that seem to be missing
Currently it contains the following components:
1. TSA - This module houses a version of ARIMA (from statsmodels) that has a built in method for cross validating the model for time series analysis, instead of relying on AIC or BIC which are tentative metrics.
2. simple_scraper - A drastically simplified version of Playwright for web scraping, which supports both sync and async playwright
3. FolderSearcher - A class that performs automatic recursive extraction of all files from a folder system, which also automatically labels each file with the folder path that it belonged to.
4. VideoCapture - A functional class which simplifies the process of automatically applying live analysis to a live feed camera
