recsys-als | provide instructions and code to repeat the experiments

by sscdotopen Java Version: Current License: Non-SPDX

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

kandi X-RAY | recsys-als Summary

recsys-als is a Java library. recsys-als has no bugs, it has no vulnerabilities, it has build file available and it has low support. However recsys-als has a Non-SPDX License. You can download it from GitHub.

Here we provide instructions and code to repeat the experiments from Distributed Matrix Factorization with MapReduce using a series of Broadcast-Joins.

Support

Quality

Security

License

Reuse

Support

recsys-als has a low active ecosystem.

It has 8 star(s) with 1 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

recsys-als has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of recsys-als is current.

Quality

recsys-als has no bugs reported.

Security

recsys-als has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

recsys-als has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

recsys-als 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, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Runs the program
Determines if the current phase should be skipped
Count records in a path
Sets the byte sort
The main method for testing purposes
Determines if the current phase should be skipped
Count records in a path
Sets the byte sort
Command - line tool
Determines if the current phase should be skipped
Count records in a path
Sets the byte sort
Command line parser
Trains Baumelch algorithm
Runs the command line arguments
Trains a supervised sequence using pseudo sequences
The command line entry point
Initialize the random probabilities
Trains the viterbi of an observation
The main method of this program
Convenience factorization
Runs the options command
Calculates the similarity between two user IDs
Estimates the best preference for a specific user ID
Optimize the QR algorithm
Returns a string containing a summary of the results
Computes the similarity between two user preferences
Calculates the training statistics
Entry point
The optimization function
Performs the computation
Main entry point

Get all kandi verified functions for this library.

recsys-als Key Features

No Key Features are available at this moment for recsys-als.

recsys-als Examples and Code Snippets

No Code Snippets are available at this moment for recsys-als.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install recsys-als

Setup a cluster with an Apache Hadoop installation, we used version 1.0.4. As we leverage JBlas for solving the linear equations involved in ALS, your cluster machines need to have the necessary fortran libraries installed.

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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