naiveBayes | Simple Naive Bayes classifier implementation

by lvulliard Python Version: Current License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | naiveBayes Summary

naiveBayes is a Python library. naiveBayes has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However naiveBayes build file is not available. You can download it from GitHub.

Simple Naive Bayes classifier implementation. Example: feature vectors made from short texts.

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Quality

Security

License

Reuse

Support

naiveBayes has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

naiveBayes has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of naiveBayes is current.

Quality

naiveBayes has no bugs reported.

Security

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

License

naiveBayes 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

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

naiveBayes has no build file. You will be need to create the build yourself to build the component from source.

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naiveBayes Key Features

No Key Features are available at this moment for naiveBayes.

naiveBayes Examples and Code Snippets

No Code Snippets are available at this moment for naiveBayes.

Community Discussions

No Community Discussions are available at this moment for naiveBayes.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install naiveBayes

You can download it from GitHub.
You can use naiveBayes like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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