Bagging-RandomMiner (homepage)

Bagging-RandomMiner ensemble method for anomaly detection

Bagging-RandomMiner is based on the philosophy of ensembles and was designed specifically to attack Anomaly Detection problems


Tags

  • 1|machine learning
  • 1|spark
  • 1|big data
  • 1|anomaly detection

How to

Include this package in your Spark Applications using:

spark-shell, pyspark, or spark-submit

> $SPARK_HOME/bin/spark-shell --packages wuicho-pereyra:Bagging-RandomMiner:1.0

sbt

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

spDependencies += "wuicho-pereyra/Bagging-RandomMiner:1.0"

Otherwise,

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

libraryDependencies += "wuicho-pereyra" % "Bagging-RandomMiner" % "1.0"

Maven

In your pom.xml, add:
<dependencies>
  <!-- list of dependencies -->
  <dependency>
    <groupId>wuicho-pereyra</groupId>
    <artifactId>Bagging-RandomMiner</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 ( eee8de | zip | jar ) / Date: 2018-05-22 / License: Apache-2.0 / Scala version: 2.11