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2.0.1 datafold-2.0.1-py3-none-any.whl

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Project: datafold
Version: 2.0.1
Filename: datafold-2.0.1-py3-none-any.whl
Download: [link]
Size: 313324
MD5: 171f399658b59cc715d3781c2941eba1
SHA256: 4b6e345b70a9e184833aeec8f800aced340c26b9ade209e03b044bb2023538f5
Uploaded: 2023-10-30 13:11:07 +0000

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METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: datafold
Version: 2.0.1
Summary: Operator-theoretic models to identify dynamical systems and parametrize point cloud geometry
Author: datafold development team
Author-Email: d.lehmberg[at]tum.de
Home-Page: https://datafold-dev.gitlab.io/datafold
Download-Url: https://pypi.org/project/datafold/
Project-Url: Bug Tracker, https://gitlab.com/datafold-dev/datafold/-/issues
Project-Url: Documentation, https://datafold-dev.gitlab.io/datafold/
Project-Url: Source Code, https://gitlab.com/datafold-dev/datafold
License: MIT
Keywords: mathematics, machine learning, dynamical system, data-driven, time series, regression, forecasting, manifold learning, diffusion map, koopman operator, nonlinear
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development
Requires-Python: >=3.9
Requires-Dist: findiff (==0.10.0)
Requires-Dist: matplotlib (>=3.2.0)
Requires-Dist: numexpr (<3.0.0,>=2.8.0)
Requires-Dist: numpy (<1.27.0,>=1.25.0)
Requires-Dist: pandas (>=2.0.0)
Requires-Dist: scikit-learn (~=1.2.1)
Requires-Dist: scipy (<1.12,>=1.10.0)
Requires-Dist: tqdm (~=4.66.0)
Description-Content-Type: text/x-rst
License-File: LICENSE
License-File: LICENSES_bundled
[Description omitted; length: 12475 characters]

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top_level.txt

datafold