click-through-rate-prediction (homepage)

Kaggle's click through rate prediction with Pipeline API

@yu-iskw / (0)

I made this application to test Spark ML Pipeline API with Kaggle Click-Through Rate Prediction contest.


Tags

  • 1|ml
  • 1|example

How to

Include this package in your Spark Applications using:

spark-shell, pyspark, or spark-submit

> $SPARK_HOME/bin/spark-shell --packages yu-iskw:click-through-rate-prediction:1.1

sbt

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

spDependencies += "yu-iskw/click-through-rate-prediction:1.1"

Otherwise,

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

libraryDependencies += "yu-iskw" % "click-through-rate-prediction" % "1.1"

Maven

In your pom.xml, add:
<dependencies>
  <!-- list of dependencies -->
  <dependency>
    <groupId>yu-iskw</groupId>
    <artifactId>click-through-rate-prediction</artifactId>
    <version>1.1</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: 1.1 ( d5949b | zip | jar ) / Date: 2016-02-10 / License: Apache-2.0

Version: 1.0 ( 952f7e | zip | jar ) / Date: 2016-02-10 / License: Apache-2.0