shap_sampling | Shapley values with various sampling techniques

by RAMitchell Python Version: Current License: No License

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

kandi X-RAY | shap_sampling Summary

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

Experiments on estimation of Shapley values with various sampling techniques. Outputs are saved in /figures.

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Support

shap_sampling 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.

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

It has a neutral sentiment in the developer community.

The latest version of shap_sampling is current.

Quality

shap_sampling has no bugs reported.

Security

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

License

shap_sampling 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

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

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

Installation instructions are not available. Examples and code snippets are available.

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shap_sampling Key Features

No Key Features are available at this moment for shap_sampling.

shap_sampling Examples and Code Snippets

No Code Snippets are available at this moment for shap_sampling.

Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install shap_sampling

You can download it from GitHub.
You can use shap_sampling 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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