sym-MI | Python function for studying correlations

by iaciac Jupyter Notebook Version: Current License: GPL-3.0

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kandi X-RAY | sym-MI Summary

sym-MI is a Jupyter Notebook library. sym-MI has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

A Python function for studying correlations in symbolic sequences, by computing the Mutual Information of symbols at distance n. The result is closely related to the autocorrelation function, as described by W. Ebeling and T. Poschel in Entropy and Long-Range Correlations in Literary English, EPL (1994).

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Quality

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Support

sym-MI has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

sym-MI has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of sym-MI is current.

Quality

sym-MI has no bugs reported.

Security

sym-MI has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

sym-MI is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

sym-MI releases are not available. You will need to build from source code and install.

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sym-MI Key Features

No Key Features are available at this moment for sym-MI.

sym-MI Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install sym-MI

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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