rrecsys | rrecsys : Environment for Assessing Recommender Systems | Recommender System library
kandi X-RAY | rrecsys Summary
kandi X-RAY | rrecsys Summary
rrecsys is a R library typically used in Artificial Intelligence, Recommender System, Deep Learning, Tensorflow applications. rrecsys has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.
A package for R that provides implementations of several state-of-the-art recommendation systems.
A package for R that provides implementations of several state-of-the-art recommendation systems.
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Quality
Security
License
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Support
rrecsys has a low active ecosystem.
It has 19 star(s) with 12 fork(s). There are 3 watchers for this library.
It had no major release in the last 6 months.
There are 6 open issues and 4 have been closed. On average issues are closed in 19 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of rrecsys is current.
Quality
rrecsys has 0 bugs and 0 code smells.
Security
rrecsys has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
rrecsys code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
rrecsys 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
rrecsys releases are not available. You will need to build from source code and install.
Installation instructions, examples and code snippets are available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of rrecsys
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of rrecsys
rrecsys Key Features
No Key Features are available at this moment for rrecsys.
rrecsys Examples and Code Snippets
No Code Snippets are available at this moment for rrecsys.
Community Discussions
Trending Discussions on rrecsys
QUESTION
Normalized cumulative discounted gain formula in R
Asked 2020-Mar-10 at 11:45
ANSWER
Answered 2020-Mar-10 at 11:45This is a straightforward R implementation of the equations in Wikipedia with some error-checking included:
First equationCommunity Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install rrecsys
This section is dedicated to the recommender systems community with no experience in R. The package is available on CRAN and as well on GitHub. Both versions are downloadable and installable. To install it from CRAN:.
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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