metaparams | Python meta framework for Parameters in classes | Machine Learning library

 by   mementum Python Version: 2.0.3 License: GPL-3.0

kandi X-RAY | metaparams Summary

kandi X-RAY | metaparams Summary

metaparams is a Python library typically used in Artificial Intelligence, Machine Learning, Framework applications. metaparams has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can install using 'pip install metaparams' or download it from GitHub, PyPI.

Python meta framework for Parameters in classes
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            kandi-support Support

              metaparams has a low active ecosystem.
              It has 5 star(s) with 2 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              metaparams has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of metaparams is 2.0.3

            kandi-Quality Quality

              metaparams has 0 bugs and 0 code smells.

            kandi-Security Security

              metaparams has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              metaparams code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              metaparams is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              metaparams releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed metaparams and discovered the below as its top functions. This is intended to give you an instant insight into metaparams implemented functionality, and help decide if they suit your requirements.
            • Parse argument parser
            • Get the docstring of a class
            • Return the alias
            • Return the parameter value for the given name
            • Return the default value for the given class name
            • Return the group parameter
            • Return True if name is required
            • Create an instance of a class
            • Parse the arguments
            Get all kandi verified functions for this library.

            metaparams Key Features

            No Key Features are available at this moment for metaparams.

            metaparams Examples and Code Snippets

            No Code Snippets are available at this moment for metaparams.

            Community Discussions

            Trending Discussions on metaparams

            QUESTION

            How to get a specific value from a JSON response?
            Asked 2020-Aug-09 at 17:53

            I want to get the value of "playCount" (144200) from the JSON response from the request made to this resource: https://www.tiktok.com/node/share/video/@scout2015/6718335390845095173?request_from=server

            lbl_Views.Text gets set to Nothing instead of the value of playCount:

            ...

            ANSWER

            Answered 2020-Aug-09 at 01:47

            Walk down the JObject that you create when parsing the raw response. If you know the structure is guaranteed to be the same every time you request the resource, this should work:

            Source https://stackoverflow.com/questions/63321104

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

            Vulnerabilities

            No vulnerabilities reported

            Install metaparams

            You can install using 'pip install metaparams' or download it from GitHub, PyPI.
            You can use metaparams 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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            Install
          • PyPI

            pip install metaparams

          • CLONE
          • HTTPS

            https://github.com/mementum/metaparams.git

          • CLI

            gh repo clone mementum/metaparams

          • sshUrl

            git@github.com:mementum/metaparams.git

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