CRAN

nmfgpu4R 0.2.5.2

Non-Negative Matrix Factorization (NMF) using CUDA

Released Oct 17, 2016 by Sven Koitka

This package can be loaded by Renjin but no tests could be found for the package.

Dependencies

Matrix 1.2-14 SparseM 1.77 Rcpp stringr 1.3.1

Wrapper package for the nmfgpu library, which implements several Non-negative Matrix Factorization (NMF) algorithms for CUDA platforms. By using the acceleration of GPGPU computing, the NMF can be used for real-world problems inside the R environment. All CUDA devices starting with Kepler architecture are supported by the library.

Installation

Maven

This package can be included as a dependency from a Java or Scala project by including the following your project's pom.xml file. Read more about embedding Renjin in JVM-based projects.

<dependencies>
  <dependency>
    <groupId>org.renjin.cran</groupId>
    <artifactId>nmfgpu4R</artifactId>
    <version>0.2.5.2-b21</version>
  </dependency>
</dependencies>
<repositories>
  <repository>
    <id>bedatadriven</id>
    <name>bedatadriven public repo</name>
    <url>https://nexus.bedatadriven.com/content/groups/public/</url>
  </repository>
</repositories>

View build log

Renjin CLI

If you're using Renjin from the command line, you load this library by invoking:

library('org.renjin.cran:nmfgpu4R')

Source

C++

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