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0.10.0 eulerpi-0.10.0-py3-none-any.whl

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Project: eulerpi
Version: 0.10.0
Filename: eulerpi-0.10.0-py3-none-any.whl
Download: [link]
Size: 73126
MD5: 7c8acef6d2915322233da2b7d102c047
SHA256: 1430ad6abf9ee268a23d0e8734b771de039cc472b7e4b982c69118fea8c2d95e
Uploaded: 2024-11-22 10:39:29 +0000

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METADATA

Metadata-Version: 2.1
Name: eulerpi
Version: 0.10.0
Summary: The eulerian parameter inference (eulerpi) returns a parameter distribution, which is consistent with the observed data by solving the inverse problem directly. In the case of a one-to-one mapping, this is the true underlying distribution.
Author: Lars Kaiser
Author-Email: lars.g.kaiser[at]gmx.de
Project-Url: Bug Tracker, https://github.com/Systems-Theory-in-Systems-Biology/EPI/issues
Project-Url: Changelog, https://Systems-Theory-in-Systems-Biology.github.io/EPI/MarkdownLinks/changelog.html
Project-Url: Documentation, https://Systems-Theory-in-Systems-Biology.github.io/EPI/
Project-Url: Homepage, https://github.com/Systems-Theory-in-Systems-Biology/EPI
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Python: >=3.10,<4.0
Requires-Dist: amici (>=0.26.1); extra == "sbml"
Requires-Dist: diffrax (>=0.4.1)
Requires-Dist: emcee (>=3.1.4)
Requires-Dist: jax (>=0.4.19)
Requires-Dist: jaxlib (>=0.4.19)
Requires-Dist: matplotlib (>=3.8.0)
Requires-Dist: numpy (>=1.26.1)
Requires-Dist: scikit-learn (<2.0.0,>=1.3.1)
Requires-Dist: seedir (>=0.4.2)
Requires-Dist: tqdm (>=4.66.1)
Provides-Extra: sbml
Description-Content-Type: text/markdown
[Description omitted; length: 5013 characters]

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