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

by wkcn Python Version: Current License: No License

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

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

Support

Quality

Security

License

Reuse

Support

LookaheadOptimizer-mx has a low active ecosystem.

It has 23 star(s) with 3 fork(s). There are 3 watchers for this library.

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.

Quality

LookaheadOptimizer-mx has 0 bugs and 0 code smells.

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.

License

LookaheadOptimizer-mx 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

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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