Metadata-Version: 2.3
Name: nnts
Version: 0.1.6
Summary: Lightweight pytorch time series forecasting
License: MIT
Author: Gareth Davies
Author-email: garethmd@googlemail.com
Requires-Python: >=3.10,<4.0
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Provides-Extra: all
Provides-Extra: foundation
Provides-Extra: torch
Provides-Extra: viz
Provides-Extra: wandb
Requires-Dist: matplotlib (>=3.9.1,<4.0.0) ; extra == "viz" or extra == "all"
Requires-Dist: pandas (>=2.2.2,<3.0.0)
Requires-Dist: plotly (>=5.22.0,<6.0.0) ; extra == "viz" or extra == "all"
Requires-Dist: pydantic (>=2.8.2,<3.0.0)
Requires-Dist: scipy (>=1.14.0,<2.0.0) ; extra == "all"
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Requires-Dist: torch (>=2.4,<2.6) ; extra == "torch" or extra == "all"
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Requires-Dist: wandb (>=0.17.4,<0.18.0) ; extra == "wandb" or extra == "all"
Description-Content-Type: text/markdown

# nnts

==============================

Neural Networks For Time Series applications


[Reference Documentation](https://www.neuralaspect.com/nnts/index.html)

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