LookaheadOptimizer-mx | Lookahead Optimizer : k steps forward , 1step back for MXNet

 by   wkcn Python Version: Current License: No License

kandi X-RAY | LookaheadOptimizer-mx Summary

kandi X-RAY | LookaheadOptimizer-mx Summary

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

Lookahead Optimizer: k steps forward, 1step back for MXNet
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            kandi-support Support

              LookaheadOptimizer-mx has a low active ecosystem.
              It has 23 star(s) with 3 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 2 open issues and 2 have been closed. On average issues are closed in 61 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of LookaheadOptimizer-mx is current.

            kandi-Quality Quality

              LookaheadOptimizer-mx has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              LookaheadOptimizer-mx 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

              LookaheadOptimizer-mx releases are not available. You will need to build from source code and install.
              LookaheadOptimizer-mx 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.
              LookaheadOptimizer-mx saves you 52 person hours of effort in developing the same functionality from scratch.
              It has 138 lines of code, 9 functions and 2 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed LookaheadOptimizer-mx and discovered the below as its top functions. This is intended to give you an instant insight into LookaheadOptimizer-mx implemented functionality, and help decide if they suit your requirements.
            • Train the model
            • Compute the accuracy
            • Register Lookahead optimizer
            • Set random seed
            Get all kandi verified functions for this library.

            LookaheadOptimizer-mx Key Features

            No Key Features are available at this moment for LookaheadOptimizer-mx.

            LookaheadOptimizer-mx Examples and Code Snippets

            No Code Snippets are available at this moment for LookaheadOptimizer-mx.

            Community Discussions

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

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

            Vulnerabilities

            No vulnerabilities reported

            Install LookaheadOptimizer-mx

            You can download it from GitHub.
            You can use LookaheadOptimizer-mx 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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            CLONE
          • HTTPS

            https://github.com/wkcn/LookaheadOptimizer-mx.git

          • CLI

            gh repo clone wkcn/LookaheadOptimizer-mx

          • sshUrl

            git@github.com:wkcn/LookaheadOptimizer-mx.git

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