MusicRecommendationSystem | testing framework for evluating an offline music

by panwaria Java Version: Current License: No License

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

kandi X-RAY | MusicRecommendationSystem Summary

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

A collection of algorithms and a testing framework for evluating an offline music recommendation system.

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Quality

Security

License

Reuse

Support

MusicRecommendationSystem has a low active ecosystem.

It has 7 star(s) with 4 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of MusicRecommendationSystem is current.

Quality

MusicRecommendationSystem has 0 bugs and 0 code smells.

Security

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

MusicRecommendationSystem code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

MusicRecommendationSystem 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

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

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

MusicRecommendationSystem saves you 800 person hours of effort in developing the same functionality from scratch.

It has 1838 lines of code, 109 functions and 22 files.

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

Top functions reviewed by kandi - BETA

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

Test program
Gets the overall algorithms
Returns a map of command line options
Returns a summary of the dataset
Generates a recommendations for all tracks that have been played
Gets the similarity score for two user listeners
Calculate the weight of a specific song
Computes the similarity matrix for all users
Dummy function for testing
Gets the accuracy of a list of tracks
Get the train and test dataset for the base dataset
Splits the given dataset into splits
Get a dataset from the database
Connect to the MySQL database
Closes the database connection
Gets the recommendations for all users in the specified dataset
Sort hash map by values
Generates a list of tracks that can be ranked for the user
Generates the recommendations for a list of users
Provide recommendations for all popular songs in the dataset
Creates a dataset folds
Generate a model from the training data set
Generates recommendations for a tuneet
Create a DataSet from a CSV file
Main entry point for testing
Compares this object with the specified probability

Get all kandi verified functions for this library.

MusicRecommendationSystem Key Features

No Key Features are available at this moment for MusicRecommendationSystem.

MusicRecommendationSystem Examples and Code Snippets

No Code Snippets are available at this moment for MusicRecommendationSystem.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install MusicRecommendationSystem

You can download it from GitHub.
You can use MusicRecommendationSystem 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 MusicRecommendationSystem 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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