gdemandfcast

Generic Python Package for Time Series Forecasting that seeks to include the latest over time and making it easy to use.  Thus, including what is current and stable for non-profit or social use.

Usage

See -> ./tests/test_example/test_hello.py

Features

• Distribution Aware Auto Differentiation applied on Gradient Descent.
• Single and Multi Step Time Series (Stats, ML, DL)
• Preprocessing of Time Lags.
• Preprocessing of Walk Forward Validation.

Why

• https://www.clinfo.eu/mean-median/
• https://www.health.harvard.edu/blog/the-11-most-expensive-medications-201202094228

Releases

You can see the list of available releases on the GitHub Releases page.   We use Release Drafter. As pull requests are merged, a draft release is kept up-to-date listing the changes.

License

This project is licensed under the terms of the GNU GPL v3.0 license.

📃 Citation

@misc{gdemandfcst,
  author = {altcp},
  title = {Generic Python Package for Time Series Forecasting},
  year = {2021},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {https://github.com/altcp/gdemandfcast}
}

Credits

This project was generated with python-package-template