kandi X-RAY | RankSys-mehta Summary
kandi X-RAY | RankSys-mehta Summary
RankSys-mehta is a Java library. RankSys-mehta has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
RankSys-mehta
RankSys-mehta
Support
Quality
Security
License
Reuse
Support
RankSys-mehta has a low active ecosystem.
It has 1 star(s) with 0 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
RankSys-mehta has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of RankSys-mehta is current.
Quality
RankSys-mehta has no bugs reported.
Security
RankSys-mehta has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
RankSys-mehta 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
RankSys-mehta releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed RankSys-mehta and discovered the below as its top functions. This is intended to give you an instant insight into RankSys-mehta implemented functionality, and help decide if they suit your requirements.
- Create a model based on the given parameters
- Gets the name
- Get a parameter
- Returns the Double value for the given key
- Create a filter based on the given parameters
- Create a FastFeatureData from the specified feature file
- Gets the feature file
- Create a recommender based on parameters
- Get sub - parameters with a prefix
- Gets users
- Command - line parser
- Print to standard output
- Create a function or filter function
- Command line parser
- Binds properties
- Create a hash code
- Compares two parameters
- Create user neighborhoods
- Create a new factorization based on the given parameters
- Create a preference based on the given parameters
- Create an item neighborhood
- Runs the benchmark
- Converts a string into a MehtaParameters
- Evaluate recommendations
- Create item similarity based on parameters
- Creates the user similarity based on the given parameters
Get all kandi verified functions for this library.
RankSys-mehta Key Features
No Key Features are available at this moment for RankSys-mehta.
RankSys-mehta Examples and Code Snippets
No Code Snippets are available at this moment for RankSys-mehta.
Community Discussions
No Community Discussions are available at this moment for RankSys-mehta.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install RankSys-mehta
You can download it from GitHub.
You can use RankSys-mehta 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 RankSys-mehta 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 RankSys-mehta 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 RankSys-mehta 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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