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0.3.0 time_interpret-0.3.0-py3-none-any.whl

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Project: time-interpret
Version: 0.3.0
Filename: time_interpret-0.3.0-py3-none-any.whl
Download: [link]
Size: 1540606
MD5: 6326d0a3bd51c96ab94f667336de35cf
SHA256: a057001510936e43e31dad4e11c08e6f6d6b22ad687b40186f85df98e3908465
Uploaded: 2023-06-06 01:32:59 +0000

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METADATA

Metadata-Version: 2.1
Name: time_interpret
Version: 0.3.0
Summary: Model interpretability library for PyTorch with a focus on time series.
Author-Email: Joseph Enguehard <joseph[at]skippr.com>
Project-Url: documentation, https://josephenguehard.github.io/time_interpret
Project-Url: homepage, https://github.com/josephenguehard/time_interpret
Keywords: deep-learning,pytorch,captum,explainable-ai,time-series
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3 :: Only
Requires-Python: >=3.7
Requires-Dist: captum
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: pytorch-lightning
Requires-Dist: scikit-learn
Requires-Dist: scipy
Requires-Dist: torch
Requires-Dist: captum; extra == "full"
Requires-Dist: numpy; extra == "full"
Requires-Dist: pandas; extra == "full"
Requires-Dist: pytorch-lightning; extra == "full"
Requires-Dist: scikit-learn; extra == "full"
Requires-Dist: scipy; extra == "full"
Requires-Dist: torch; extra == "full"
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Requires-Dist: pytest; extra == "test"
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Provides-Extra: full
Provides-Extra: graphgym
Provides-Extra: modelhub
Provides-Extra: test
Description-Content-Type: text/markdown
[Description omitted; length: 3810 characters]

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