Imbalanced-Classification-Ensemble (homepage)

SD_DeTE is a novel Smart Data driven Decision Trees Ensemble methodology for addressing the imbalanced classification problem in Big Data domains

@djgarcia / (1)

This method implements SD_DeTE methodology Imbalanced Big Data classification

Tags

  • 1|machine learning
  • 1|big data
  • 1|data mining
  • 1|smart data
  • 1|imbalanced
  • 1|Decision tree

How to

Include this package in your Spark Applications using:

spark-shell, pyspark, or spark-submit

> $SPARK_HOME/bin/spark-shell --packages djgarcia:Imbalanced-Classification-Ensemble:1.0

sbt

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

spDependencies += "djgarcia/Imbalanced-Classification-Ensemble:1.0"

Otherwise,

resolvers += "Spark Packages Repo" at "https://repos.spark-packages.org/"

libraryDependencies += "djgarcia" % "Imbalanced-Classification-Ensemble" % "1.0"

Maven

In your pom.xml, add: 
<dependencies>
  <!-- list of dependencies -->
  <dependency>
    <groupId>djgarcia</groupId>
    <artifactId>Imbalanced-Classification-Ensemble</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 ( e7395b | zip | jar ) / Date: 2019-12-03 / License: Apache-2.0 / Scala version: 2.11