Metadata-Version: 2.4
Name: lightningnbeats
Version: 0.1.2
Summary: PyTorch Lightning implementation of N-BEATS time series forecasting, extended with wavelet basis expansion, autoencoder blocks, and bottleneck architectures beyond the original paper.
Author-email: Daniel Byrne <realdanielbyrne@icloud.com>
Project-URL: Homepage, https://github.com/realdanielbyrne/N-BEATS-Lightning
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: <3.15,>=3.12
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: lightning>=2.1.0
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: PyWavelets
Requires-Dist: scipy
Requires-Dist: seaborn
Requires-Dist: tensorboard
Requires-Dist: torch>=2.1.0
Requires-Dist: tqdm
Requires-Dist: ipykernel
Requires-Dist: ipython
Requires-Dist: statsmodels
Dynamic: license-file
