mlcomops

 by   mbunse Python Version: Current License: No License

kandi X-RAY | mlcomops Summary

kandi X-RAY | mlcomops Summary

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

mlcomops
Support
    Quality
      Security
        License
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            kandi-support Support

              mlcomops has a low active ecosystem.
              It has 8 star(s) with 3 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              mlcomops has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of mlcomops is current.

            kandi-Quality Quality

              mlcomops has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              mlcomops does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              mlcomops releases are not available. You will need to build from source code and install.
              mlcomops has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions, examples and code snippets are available.

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            mlcomops Key Features

            No Key Features are available at this moment for mlcomops.

            mlcomops Examples and Code Snippets

            No Code Snippets are available at this moment for mlcomops.

            Community Discussions

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

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

            Vulnerabilities

            No vulnerabilities reported

            Install mlcomops

            After checkout, first create and activate the conda environment:.
            Then restart the infrastructure containers and start the model API container:. Test the API with.
            local Docker installation.
            run docker-compose up to have the needed infrastructure available

            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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            CLONE
          • HTTPS

            https://github.com/mbunse/mlcomops.git

          • CLI

            gh repo clone mbunse/mlcomops

          • sshUrl

            git@github.com:mbunse/mlcomops.git

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