TopicModelPy | Topic Models in Fortran and Python

by SteveBronder Jupyter Notebook Version: Current License: No License

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kandi X-RAY | TopicModelPy Summary

TopicModelPy is a Jupyter Notebook library. TopicModelPy has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

The purpose of this repository is store code for the final project of the class Computational Statistics. A compressed Gibbs Sampler is implimented in Python and Fortran, with documentation explaining the procedure and derivation.

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TopicModelPy has a low active ecosystem.

It has 1 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 38 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of TopicModelPy is current.

Quality

TopicModelPy has no bugs reported.

Security

TopicModelPy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

TopicModelPy does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

TopicModelPy releases are not available. You will need to build from source code and install.

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TopicModelPy Key Features

No Key Features are available at this moment for TopicModelPy.

TopicModelPy Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install TopicModelPy

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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