aemcmc | Python library that automates the construction of samplers

by aesara-devs Python Version: 0.0.8 License: MIT

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

kandi X-RAY | aemcmc Summary

aemcmc is a Python library. aemcmc has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install aemcmc' or download it from GitHub, PyPI.

AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.

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Quality

Security

License

Reuse

Support

aemcmc has a low active ecosystem.

It has 35 star(s) with 7 fork(s). There are 5 watchers for this library.

It had no major release in the last 12 months.

There are 27 open issues and 30 have been closed. On average issues are closed in 50 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of aemcmc is 0.0.8

Quality

aemcmc has no bugs reported.

Security

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

License

aemcmc is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

aemcmc releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

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aemcmc Key Features

No Key Features are available at this moment for aemcmc.

aemcmc Examples and Code Snippets

No Code Snippets are available at this moment for aemcmc.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install aemcmc

You can install using 'pip install aemcmc' or download it from GitHub, PyPI.
You can use aemcmc 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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