CRAN

monmlp 1.1.5

Multi-Layer Perceptron Neural Network with Optional Monotonicity Constraints

Released Dec 5, 2017 by Alex J. Cannon

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

Dependencies

optimx 2014.5.4

Train and make predictions from a multi-layer perceptron neural network with optional partial monotonicity constraints.

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>monmlp</artifactId>
    <version>1.1.5-b7</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:monmlp')

Test Results

This package was last tested against Renjin 0.9.2687 on Aug 25, 2018.

Source

R

View GitHub Mirror

Release History