infotheory: A C++/Python package for multivariate information theoretic analysis
July 04, 2019 ยท Entered Twilight ยท ๐ Journal of Open Source Software
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Repo contents: .gitignore, .travis.yml, LICENSE, MANIFEST.in, README.md, benchmarks, demos, infotheory, paper, setup.py, tests
Authors
Madhavun Candadai, Eduardo J. Izquierdo
arXiv ID
1907.02339
Category
cs.IT: Information Theory
Cross-listed
q-bio.NC
Citations
13
Venue
Journal of Open Source Software
Repository
https://github.com/madvn/infotheory
โญ 41
Last Checked
28 days ago
Abstract
This paper introduces \texttt{infotheory}: a package written in C++ and usable from Python and C++, for multivariate information theoretic analyses of discrete and continuous data. This package allows the user to study the relationship between components of a complex system simply from the data recorded during its operation, using the tools of information theory. It implements widely used measures such as entropy and mutual information, as well as more recent measures that arise from multivariate extensions to information theory, specifically Partial Information Decomposition. It provides an easy-to-use and flexible tool for use in research as well as pedgogical purposes to introduce students to information theory. Website: http://mcandadai.com/infotheory/ Source: https://git.io/infot
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