agc | Python code to compute and plot

 by   ftheberge Jupyter Notebook Version: 0.0.5 License: MIT

kandi X-RAY | agc Summary

kandi X-RAY | agc Summary

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

Python code to compute and plot (truncated, weighted) area under gain curves
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            kandi-support Support

              agc has a low active ecosystem.
              It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              agc has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of agc is 0.0.5

            kandi-Quality Quality

              agc has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              agc is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

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

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            agc Key Features

            No Key Features are available at this moment for agc.

            agc Examples and Code Snippets

            No Code Snippets are available at this moment for agc.

            Community Discussions

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

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

            Vulnerabilities

            No vulnerabilities reported

            Install agc

            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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            Install
          • PyPI

            pip install agc

          • CLONE
          • HTTPS

            https://github.com/ftheberge/agc.git

          • CLI

            gh repo clone ftheberge/agc

          • sshUrl

            git@github.com:ftheberge/agc.git

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