CRAN

mlf 1.2.1

Machine Learning Foundations

Released Jun 25, 2018 by Kyle Peterson

Offers a gentle introduction to machine learning concepts for practitioners with a statistical pedigree: decomposition of model error (bias-variance trade-off), nonlinear correlations, information theory and functional permutation/bootstrap simulations. Székely GJ, Rizzo ML, Bakirov NK. (2007). . Reshef DN, Reshef YA, Finucane HK, Grossman SR, McVean G, Turnbaugh PJ, Lander ES, Mitzenmacher M, Sabeti PC. (2011). .

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>mlf</artifactId>
    <version>1.2.1-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:mlf')

Test Results

This package was last tested against Renjin 0.9.2657 on Aug 18, 2018.

• boot-examples
• bvto-examples
• distcorr-examples
• entropy-examples
• get_bias-examples
• get_mse-examples
• get_var-examples
• jointentropy-examples
• kld-examples
• mi-examples
• mic-examples
• perm-examples

Source

View GitHub Mirror

Release History

• 1.2.1
• 1.2