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spotforecast2

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Quality assurance runs locally, not in CI: make verify (REUSE/SPDX, API documentation coverage, formatting, the test suite with its coverage floor, and a full documentation render) is the gate before every push and release. See CONTRIBUTING.md and RELEASING.md.

About spotforecast2

spotforecast2 is an extension of the spotforecast-safe Python library for time series forecasting in safety-critical applications.

See the Model Card for intended use, limitations, and how spotforecast2 relates to the safety-critical spotforecast2-safe.

Documentation

Documentation (API) is available at: https://advm1.gm.fh-koeln.de/~bartz/spotforecast2/

Source: gitlab.git.nrw/thk-f10/spotsevenlab/spotforecast2

License

spotforecast2 software: AGPL-3.0-or-later License

Attributions

Parts of the code are ported from skforecast to reduce external dependencies. Many thanks to the skforecast team for their great work!

References

spotforecast2-safe

skforecast:

spotoptim:

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (10.9.1)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for bartzbeielstein from gravatar.com bartzbeielstein

Credits

Author: bartzbeielstein

License

GNU Affero General Public License v3 or later (AGPLv3+) (AGPL-3.0-or-later)

Requires

Python >=3.13

Provides Extra

dev

Classifiers

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