A package with the intention of simplifying machine learning workflows
Project description
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:
- 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.
- simple_scraper - A drastically simplified version of Playwright for web scraping, which supports both sync and async playwright
- 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.
- VideoCapture - A functional class which simplifies the process of automatically applying live analysis to a live feed camera
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
aquilonen-2.1.0.tar.gz
(5.3 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file aquilonen-2.1.0.tar.gz.
File metadata
- Download URL: aquilonen-2.1.0.tar.gz
- Upload date:
- Size: 5.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4e7e9ec13d72046cf13ef96c8e950f85d0a03093ee3e59d73cae8987215f1969
|
|
| MD5 |
375ec2d9bb00a585476f5633fa614b4a
|
|
| BLAKE2b-256 |
525a997085b01f03c1c9ad2eff66e4ae6468d362f4227a6cbe4915122f6d78fb
|
File details
Details for the file aquilonen-2.1.0-py3-none-any.whl.
File metadata
- Download URL: aquilonen-2.1.0-py3-none-any.whl
- Upload date:
- Size: 5.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
68f55e379bc216ebf4b3646f842f4d8ed6a3f1cfe3ad2554b69c70c54a0d92f3
|
|
| MD5 |
9866c0028e6e3c38ef028d1834b0d1d4
|
|
| BLAKE2b-256 |
ba4156196c11920f609171c488873ec9480ad6c5993c7910e2c0f4130d92e394
|