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2.1.0 pyEDM-2.1.0-py3-none-any.whl

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Project: pyEDM
Version: 2.1.0
Filename: pyEDM-2.1.0-py3-none-any.whl
Download: [link]
Size: 118036
MD5: 824a73a338c2484fe02718a4b7d22180
SHA256: c4bcc681935a6ffafe91c4df1f50bbbfa6daa593147eb8f9bebd8bd5b7714ca8
Uploaded: 2024-08-03 14:38:06 +0000

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METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: pyEDM
Version: 2.1.0
Summary: Python/Pandas toolset for Empirical Dynamic Modeling.
Author-Email: Joseph Park <JosephPark[at]IEEE.org>
Maintainer-Email: Joseph Park <JosephPark[at]IEEE.org>
Project-Url: Homepage, https://deepeco.ucsd.edu/
Project-Url: Documentation, https://sugiharalab.github.io/EDM_Documentation/
Project-Url: Repository, https://github.com/SugiharaLab/pyEDM
Project-Url: Bug Tracker, https://github.com/SugiharaLab/pyEDM/issues
License: Copyright 2019 The Regents of the University of California. All Rights Reserved. Permission to copy, modify, and distribute this software and its documentation for educational, research and non-profit purposes, without fee, and without a written agreement is hereby granted, provided that the above copyright notice, this paragraph and the following three paragraphs appear in all copies. Those desiring to incorporate this software into commercial products or use for commercial purposes should contact: Office of Innovation & Commercialization University of California, San Diego 9500 Gilman Drive, Mail Code 0910 La Jolla, CA 92093-0910 Ph: (858) 534-5815, FAX: (858) 534-7345 E-MAIL:invent@ucsd.edu. IN NO EVENT SHALL THE UNIVERSITY OF CALIFORNIA BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, ARISING OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE UNIVERSITY OF CALIFORNIA HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. THE SOFTWARE PROVIDED HEREIN IS ON AN "AS IS" BASIS, AND THE UNIVERSITY OF CALIFORNIA HAS NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR MODIFICATIONS. THE UNIVERSITY OF CALIFORNIA MAKES NO REPRESENTATIONS AND EXTENDS NO WARRANTIES OF ANY KIND, EITHER IMPLIED OR EXPRESS, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY PATENT, TRADEMARK OR OTHER RIGHTS.
Keywords: EDM,Empirical Dynamic Modeling,nonlinear dynamics,time series,state space
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.9
Requires-Dist: numpy (>=1.24)
Requires-Dist: scipy (>=1.11)
Requires-Dist: scikit-learn (>=1.3)
Requires-Dist: pandas (>=2.0)
Requires-Dist: matplotlib (>=3.6)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 2547 characters]

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Tag: py3-none-any

RECORD

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pyEDM-2.1.0.dist-info/RECORD — —

top_level.txt

pyEDM