Subs_Abuse_Train_Test | testing pipelines for the Substance Abuse Detection module

by abbottLane-zz Python Version: Current License: No License

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kandi X-RAY | Subs_Abuse_Train_Test Summary

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

The training and testing pipelines for the Substance Abuse Detection module in the Argos clinical abstraction project.

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Quality

Security

License

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Support

Subs_Abuse_Train_Test has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of Subs_Abuse_Train_Test is current.

Quality

Subs_Abuse_Train_Test has no bugs reported.

Security

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

License

Subs_Abuse_Train_Test 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

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

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

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Subs_Abuse_Train_Test Key Features

No Key Features are available at this moment for Subs_Abuse_Train_Test.

Subs_Abuse_Train_Test Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install Subs_Abuse_Train_Test

You can download it from GitHub.
You can use Subs_Abuse_Train_Test 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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