infotheory: A C++/Python package for multivariate information theoretic analysis

July 04, 2019 ยท Entered Twilight ยท ๐Ÿ› 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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