Metadata-Version: 2.4
Name: sciedm
Version: 1.2.7.dev0
Summary: Empirical dynamic modeling (EDM) scikit-learn module
Author-email: Joseph Park <josephpark@ieee.org>
Maintainer-email: Joseph Park <JosephPark@IEEE.org>
License-Expression: BSD-3-Clause
Project-URL: Homepage, https://deepeco.ucsd.edu/
Project-URL: Documentation, https://sciedm.readthedocs.io/en/latest/
Project-URL: Repository, https://github.com/SoftwareLiteracyFoundation/sciedm
Project-URL: Issues, https://github.com/SoftwareLiteracyFoundation/sciedm/issues
Keywords: EDM,Empirical Dynamic Modeling,nonlinear dynamics,time series,state space
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Operating System :: Microsoft :: Windows
Requires-Python: >=3.11
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: scikit-learn>=1.7.0
Requires-Dist: pandas>=2.0
Requires-Dist: matplotlib>=3.7
Dynamic: license-file

sciedm - scikit-learn compatible Empirical Dynamic Modeling
===========================================================

**sciedm** is a [scikit-learn](https://scikit-learn.org) compatible implementation of [Empirical Dynamic Modeling (EDM)](https://en.wikipedia.org/wiki/Empirical_dynamic_modeling). Core code is based on the [pyEDM](https://pypi.org/project/pyEDM/) package. An in-depth introduction to EDM is in the [pyEDM Docs](https://sugiharalab.github.io/EDM_Documentation/).

See the [sciedm documentation](https://sciedm.readthedocs.io/en/latest/)
