SmartReduction

SmartReduction

This framework implements four distance based Big Data preprocessing algorithms for prototype selection and generation: FCNN_MR, SSMASFLSDE_MR, RMHC_MR, MR_DIS, with special emphasis in their scalability and performance traits.

Status

           

Use

Include this package in your Spark Applications using:

spark-shell, pyspark, or spark-submit

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

sbt

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

spDependencies += "djgarcia/SmartReduction:1.0"

Otherwise,

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

libraryDependencies += "djgarcia" % "SmartReduction" % "1.0"

Maven

In your pom.xml, add:

<dependencies>
  <!-- list of dependencies -->
  <dependency>
    <groupId>djgarcia</groupId>
    <artifactId>SmartReduction</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>

Release

The latest version is : 1.0   / Date: 2017-09-25  / Scala version: 2.11