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A package with the intention of simplifying machine learning workflows

Project description

Note that versioning labels are incorrect prior to 1.0.0 - sorry!

This library is intended to streamline certain processes in machine learning workflows that seem to be missing Currently it only 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. SimpleScrape - A drastically simplified version of Playwright for web scraping, which supports both sync and async playwright
  3. FolderSearcher - A module 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.

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