SmartReduction (homepage)

Smart Reduction framework for Big Data

@djgarcia / (2)

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.

Tags

  • 1|mllib
  • 1|m
  • 1|kNN
  • 1|smart data
  • 1|machine learninng
  • 1|data reduction

How to

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 "https://repos.spark-packages.org/"

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>https://repos.spark-packages.org/</url>
  </repository>
</repositories>

Releases

Version: 1.0 ( 35d795 | zip | jar ) / Date: 2018-04-09 / License: Apache-2.0 / Scala version: 2.11