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.
See -> ./tests/test_example/test_hello.py
- 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.
- https://www.clinfo.eu/mean-median/
- https://www.health.harvard.edu/blog/the-11-most-expensive-medications-201202094228
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.
This project is licensed under the terms of the GNU GPL v3.0 license.
@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}
}
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