RenyiExtropy
Entropy and Extropy Measures for Probability Distributions
v0.4.0
·
Mar 16, 2026
·
MIT + file LICENSE
Description
Provides functions to compute Shannon entropy, Renyi entropy, Tsallis entropy, and related extropy measures for discrete probability distributions. Includes joint and conditional entropy, KL divergence, Jensen-Shannon divergence, cross-entropy, normalized entropy, and Renyi extropy (including the conditional and maximum forms). All measures use the natural logarithm (nats). Useful for information theory, statistics, and machine learning applications.
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OK 5 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 16, 2026
Version History
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0.4.0
Mar 16, 2026