MRQAR (homepage)

MRQAR is a new generic parallel framework to discover quantitative association rules.

@djgarcia / (1)

MRQAR discovers efficiently QARs in Big Data problems using other algorithm as rule extraction model.


Tags

  • 1|machine learning
  • 1|big data
  • 1|association rules

How to

Include this package in your Spark Applications using:

spark-shell, pyspark, or spark-submit

> $SPARK_HOME/bin/spark-shell --packages djgarcia:MRQAR:1.0

sbt

If you use the sbt-spark-package plugin, in your sbt build file, add:

spDependencies += "djgarcia/MRQAR:1.0"

Otherwise,

resolvers += "Spark Packages Repo" at "http://dl.bintray.com/spark-packages/maven"

libraryDependencies += "djgarcia" % "MRQAR" % "1.0"

Maven

In your pom.xml, add:
<dependencies>
  <!-- list of dependencies -->
  <dependency>
    <groupId>djgarcia</groupId>
    <artifactId>MRQAR</artifactId>
    <version>1.0</version>
  </dependency>
</dependencies>
<repositories>
  <!-- list of other repositories -->
  <repository>
    <id>SparkPackagesRepo</id>
    <url>http://dl.bintray.com/spark-packages/maven</url>
  </repository>
</repositories>

Releases

Version: 1.0 ( 46da09 | zip | jar ) / Date: 2017-07-28 / License: Apache-2.0 / Scala version: 2.11