CRAN

MDFS 1.0.3

MultiDimensional Feature Selection

Released Nov 8, 2018 by Radosław Piliszek

This package can be loaded by Renjin but 1 out 3 tests failed.

Functions for MultiDimensional Feature Selection (MDFS): calculating multidimensional information gains, scoring variables, finding important variables, plotting selection results. This package includes an optional CUDA implementation that speeds up information gain calculation using NVIDIA GPGPUs.

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>MDFS</artifactId>
    <version>1.0.3-b1</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:MDFS')

Test Results

This package was last tested against Renjin 0.9.2709 on Nov 11, 2018.

Source

C++

View GitHub Mirror