Science Score: 95.0%
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○CITATION.cff file
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Found 2 DOI reference(s) in README and JOSS metadata -
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Published in Journal of Open Source Software
Scientific Fields
Repository
Empirical dynamic modeling in scikit-learn's style
Basic Info
Statistics
- Stars: 24
- Watchers: 4
- Forks: 11
- Open Issues: 0
- Releases: 1
Metadata Files
README.md
skedm
Scikit Empirical Dynamic Modeling (skedm) can be used as a way to forecast time series, spatio-temporal 2D or 3D arrays, and even discrete spatial arrangements. More importantly, skedm can provide insight into the underlying dynamics of a system, specifically whether a system is nonlinear and deterministic or whether it is dominated by noise.
For a quick explanation of this package, I suggest checking the wikipedia article on nonlinear analysis . Additionally, Dr. Sugihara's lab has produced some good summary videos of the topic:
For a more complete background, I suggest checking out Nonlinear Analysis by Kantz as well as Practical implementation of nonlinear time series methods: The TISEAN package
Owner
- Name: Nick Cortale
- Login: nickc1
- Kind: user
- Location: NC
- Website: http://nickc1.github.io/
- Repositories: 5
- Profile: https://github.com/nickc1
Data at Live Oak Bank
JOSS Publication
skedm: Empirical Dynamic Modeling
Authors
Department of Physics and Physical Oceanography/Center for Marine Science, University of North Carolina Wilmington
Department of Physics and Physical Oceanography/Center for Marine Science, University of North Carolina Wilmington
Editor
Jake Vanderplas
Tags
Empirical Dynamic Modeling Nonlinear Forecasting Dynamic SystemsGitHub Events
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Last Year
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Last synced: 5 months ago
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Issues and Pull Requests
Last synced: 4 months ago
All Time
- Total issues: 3
- Total pull requests: 1
- Average time to close issues: 7 months
- Average time to close pull requests: 13 days
- Total issue authors: 2
- Total pull request authors: 1
- Average comments per issue: 1.33
- Average comments per pull request: 0.0
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- johnh2o2 (2)
- kennethells (1)
Pull Request Authors
- micahscopes (1)
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Packages
- Total packages: 1
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Total downloads:
- pypi 14 last-month
- Total dependent packages: 0
- Total dependent repositories: 1
- Total versions: 2
- Total maintainers: 1
pypi.org: skedm
skedm: Emperical Dynamic Modeling with a simple api
- Homepage: https://github.com/nickc1/skedm
- Documentation: https://skedm.readthedocs.io/
- License: MIT
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Latest release: 0.0.3
published over 8 years ago