https://github.com/cschoel/entro-py
Time series entropy measures implemented with numpy
Science Score: 13.0%
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✓DOI references
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○Scientific vocabulary similarity
Low similarity (3.8%) to scientific vocabulary
Last synced: 10 months ago
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Repository
Time series entropy measures implemented with numpy
Basic Info
- Host: GitHub
- Owner: CSchoel
- License: bsd-3-clause
- Language: Python
- Default Branch: master
- Size: 9.77 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Fork of ixjlyons/entro-py
Created over 6 years ago
· Last pushed over 6 years ago
Metadata Files
Readme
License
README.md
entro-py
entro-py computes entropy for time series analysis. Currently implemented algorithms are FuzzyEn and SampEn, both of which are described/compared in Chen et al. 2009. Implementation has been "inspired" by and tested against this MATLAB code.
Dependencies
TODO
Items in order of importance
- Pass in arbitrary function for similarity measurement
- Pass 2D array and calculate entropy along a given axis
Owner
- Name: Christopher Schölzel
- Login: CSchoel
- Kind: user
- Location: Münster, Germany
- Company: LanguageTool
- Website: http://arbitrary-but-fixed.net/
- Repositories: 5
- Profile: https://github.com/CSchoel
AI Engineer at LanguageTool with a passion for teaching and open source
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Dependencies
setup.py
pypi