CRAN

NORMA 0.1

Builds General Noise SVRs

Released Jan 24, 2017 by Jesus Prada

Dependencies

rootSolve 1.7

Builds general noise SVR models using Naive Online R Minimization Algorithm, NORMA, an optimization method based on classical stochastic gradient descent suitable for computing SVR models in an online setting.

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>NORMA</artifactId>
    <version>0.1-b18</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:NORMA')

Test Results

This package was last tested against Renjin 0.9.2644 on Jun 2, 2018.

• ILF_cost_der-examples
• NORMA-examples
• f-examples
• linear_kernel-examples
• mle_parameters-examples

Source

View GitHub Mirror

Release History

• 0.1