MLCompetition | Machine Learning Competition Code

by lytforgood Java Version: Current License: No License

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

kandi X-RAY | MLCompetition Summary

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

Machine Learning Competition Code

Support

Quality

Security

License

Reuse

Support

MLCompetition has a low active ecosystem.

It has 10 star(s) with 21 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

MLCompetition has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of MLCompetition is current.

Quality

MLCompetition has 0 bugs and 0 code smells.

Security

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

MLCompetition code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

MLCompetition 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

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

MLCompetition has no build file. You will be need to create the build yourself to build the component from source.

MLCompetition saves you 836286 person hours of effort in developing the same functionality from scratch.

It has 398520 lines of code, 8005 functions and 1522 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed MLCompetition and discovered the below as its top functions. This is intended to give you an instant insight into MLCompetition implemented functionality, and help decide if they suit your requirements.

Tokenize data .
Create a new algorithm based on a vehicle configuration .
Get the insertion data for the vehicle .
Read the vehicle type and its capacities .
Read result file .
method to set the initial vehicle route
Get the best insertion job .
Parses the file and returns the list of results
method to set the orders
Create the result panel .

Get all kandi verified functions for this library.

MLCompetition Key Features

No Key Features are available at this moment for MLCompetition.

MLCompetition Examples and Code Snippets

No Code Snippets are available at this moment for MLCompetition.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install MLCompetition

You can download it from GitHub.
You can use MLCompetition like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the MLCompetition component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

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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