Contents

neuralforecast 3.1.4

0

Time series forecasting suite using deep learning models

Time series forecasting suite using deep learning models

Stars: 3969, Watchers: 3969, Forks: 482, Open Issues: 101

The Nixtla/neuralforecast repo was created 4 years ago and the last code push was Yesterday.
The project is very popular with an impressive 3969 github stars!

How to Install neuralforecast

You can install neuralforecast using pip

pip install neuralforecast

or add it to a project with poetry

poetry add neuralforecast

Package Details

Author
None
License
Apache-2.0
Homepage
None
PyPi:
https://pypi.org/project/neuralforecast/
Documentation:
https://nixtlaverse.nixtla.io/neuralforecast/
GitHub Repo:
https://github.com/Nixtla/neuralforecast

Classifiers

No  neuralforecast  pypi packages just yet.

Errors

A list of common neuralforecast errors.

Code Examples

Here are some neuralforecast code examples and snippets.

GitHub Issues

The neuralforecast package has 101 open issues on GitHub

  • serious data leak target_col somewhere in nf.predict()
  • FileExistsError when self.nf.save() with "strategy": "ddp" multi-GPU strategy
  • [FEAT] Add XLinear
  • [<Library component: Model|Core|etc…>]
  • Q/feature req: how to only train selected days rows?
  • [DistributionLoss] Add a "return samples" option

See more issues on GitHub

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