netflix-data-clustering | capstone project in University of Washington Bothell
kandi X-RAY | netflix-data-clustering Summary
kandi X-RAY | netflix-data-clustering Summary
netflix-data-clustering is a Java library. netflix-data-clustering has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
This project is done as my capstone project in University of Washington Bothell Masters program.
This project is done as my capstone project in University of Washington Bothell Masters program.
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Quality
Security
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Support
netflix-data-clustering has a low active ecosystem.
It has 3 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
netflix-data-clustering has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of netflix-data-clustering is current.
Quality
netflix-data-clustering has 0 bugs and 0 code smells.
Security
netflix-data-clustering has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
netflix-data-clustering code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
netflix-data-clustering 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
netflix-data-clustering 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.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed netflix-data-clustering and discovered the below as its top functions. This is intended to give you an instant insight into netflix-data-clustering implemented functionality, and help decide if they suit your requirements.
- Predict a rating for a user
- Calculates the similarity of a movie
- Extract the maximum number of clusters from a map
- Get the ID of the movie
- Calculates the average rating for a movie
- Returns the average rating for a movie
- This method selects multiple users
- Returns an array with a random value
- Write the combinations into disk
- Get the list of movies for a customer
- Get customer data for a movie
- Get the rating for a movie
- Get the map for a movie id
- Get the common elements in an array list
- Compares this cluster to another
- Get all movies for a specific customer
- Calculate an average rating for a user
- Load a list of clusters
- Main launcher for testing
- Main method
Get all kandi verified functions for this library.
netflix-data-clustering Key Features
No Key Features are available at this moment for netflix-data-clustering.
netflix-data-clustering Examples and Code Snippets
No Code Snippets are available at this moment for netflix-data-clustering.
Community Discussions
No Community Discussions are available at this moment for netflix-data-clustering.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install netflix-data-clustering
You can download it from GitHub.
You can use netflix-data-clustering 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 netflix-data-clustering 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 netflix-data-clustering 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 netflix-data-clustering 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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