RecommenderSystem | ALS推荐系统实现,也包括梯度下降的矩阵分解方法
kandi X-RAY | RecommenderSystem Summary
kandi X-RAY | RecommenderSystem Summary
RecommenderSystem is a Java library. RecommenderSystem has no bugs, it has no vulnerabilities and it has low support. However RecommenderSystem build file is not available. You can download it from GitHub.
ALS推荐系统实现,也包括梯度下降的矩阵分解方法
ALS推荐系统实现,也包括梯度下降的矩阵分解方法
Support
Quality
Security
License
Reuse
Support
RecommenderSystem has a low active ecosystem.
It has 1 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
RecommenderSystem has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of RecommenderSystem is current.
Quality
RecommenderSystem has no bugs reported.
Security
RecommenderSystem has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
RecommenderSystem 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
RecommenderSystem releases are not available. You will need to build from source code and install.
RecommenderSystem has no build file. You will be need to create the build yourself to build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed RecommenderSystem and discovered the below as its top functions. This is intended to give you an instant insight into RecommenderSystem implemented functionality, and help decide if they suit your requirements.
- Test from a directory
- Recommendation for all users
- Recommend by user ID
- Convert lines to rating
- Main method
- Calculate the RMSE of a test file
- Initialization function
- Initialize items of a rating
- Entry point for testing purposes
- Test from a file
- Limit recommend list by userId
- Determine if the target ID belongs to the target ID
- Returns true if the given string s is a valid user
- Sort by ID
- Test RMSE
- Main method for testing
- Get the id for a string
Get all kandi verified functions for this library.
RecommenderSystem Key Features
No Key Features are available at this moment for RecommenderSystem.
RecommenderSystem Examples and Code Snippets
No Code Snippets are available at this moment for RecommenderSystem.
Community Discussions
No Community Discussions are available at this moment for RecommenderSystem.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install RecommenderSystem
You can download it from GitHub.
You can use RecommenderSystem 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 RecommenderSystem 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 .
You can use RecommenderSystem 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 RecommenderSystem 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 .
Find more information at:
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