CRAN

ada 2.0-5

The R Package Ada for Stochastic Boosting

Released May 13, 2016 by Mark Culp

This package is available for Renjin and there are no known compatibility issues.

Dependencies

rpart 4.1-13

Performs discrete, real, and gentle boost under both exponential and logistic loss on a given data set. The package ada provides a straightforward, well-documented, and broad boosting routine for classification, ideally suited for small to moderate-sized data sets.

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>ada</artifactId>
    <version>2.0-5-b31</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:ada')

Test Results

This package was last tested against Renjin 0.9.2687 on Aug 24, 2018.

Source

R

View GitHub Mirror

Release History