spark-ranking-algorithms (homepage)

Ranking algorithms for Spark DataFrame

@yu-iskw / (0)

Ranking algorithms for Spark DataFrame

Tags

  • 1|ml
  • 1|machine learning
  • 1|scala

How to

Include this package in your Spark Applications using:

spark-shell, pyspark, or spark-submit

> $SPARK_HOME/bin/spark-shell --packages yu-iskw:spark-ranking-algorithms:0.0.4

sbt

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

spDependencies += "yu-iskw/spark-ranking-algorithms:0.0.4"

Otherwise,

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

libraryDependencies += "yu-iskw" % "spark-ranking-algorithms" % "0.0.4"

Maven

In your pom.xml, add: 
<dependencies>
  <!-- list of dependencies -->
  <dependency>
    <groupId>yu-iskw</groupId>
    <artifactId>spark-ranking-algorithms</artifactId>
    <version>0.0.4</version>
  </dependency>
</dependencies>
<repositories>
  <!-- list of other repositories -->
  <repository>
    <id>SparkPackagesRepo</id>
    <url>https://repos.spark-packages.org/</url>
  </repository>
</repositories>

Releases

Version: 0.0.4 ( 18232c | zip | jar ) / Date: 2016-08-26 / License: Apache-2.0

Version: 0.0.3 ( 02f8ec | zip | jar ) / Date: 2016-08-18 / License: Apache-2.0

Version: 0.0.2 ( 48420a | zip | jar ) / Date: 2016-08-17 / License: Apache-2.0

Version: 0.0.1 ( a45b66 | zip | jar ) / Date: 2016-08-17 / License: Apache-2.0