neuralforecast 1.7.0
0
Time series forecasting suite using deep learning models
Contents
Time series forecasting suite using deep learning models
Stars: 2362, Watchers: 2362, Forks: 273, Open Issues: 109The Nixtla/neuralforecast
repo was created 2 years ago and the last code push was 6 hours ago.
The project is very popular with an impressive 2362 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
- Nixtla
- License
- Apache Software License 2.0
- Homepage
- https://github.com/Nixtla/neuralforecast/
- PyPi:
- https://pypi.org/project/neuralforecast/
- GitHub Repo:
- https://github.com/Nixtla/neuralforecast
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Errors
A list of common neuralforecast errors.
Code Examples
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code examples and snippets.
GitHub Issues
The neuralforecast package has 109 open issues on GitHub
- Resources on Temporal Normalization
- 'pydantic.fields' deprecated
- How to interpret the trained model?
- v1.6.0 conda package is broken
- [FEAT] Unified DeepAR decoder with common.MLP.
- Code stuck on "initalizing ddp" when using more than one gpu on neuralforecast AutoTFT, AutoNHITs
- Predictions using missing value input (available_mask==0) and scalers ('minmax', 'robust')
- Add monitor parameter for early stopping
- Feature/insample test
- Can't disable logging when using
predict(...)
method for a model. - [TimesNet]
- [Recurrent]
validation_step
does not scale back the loss for point losses - Is there any plan to put TiDE algorithm into neuralforecast