twitter-stream-ml (homepage)

Machine Learning over Twitter's stream. Using Apache Spark, Web Server and Lightning Graph server.

@giorgioinf / (0)

A scala example of integration with Linear Regression and Twitter stream using spark.

Tags

  • 1|ml
  • 1|example
  • 1|streaming
  • 1|machine learning
  • 1|scala
  • 1|twitter

How to

Include this package in your Spark Applications using:

spark-shell, pyspark, or spark-submit

> $SPARK_HOME/bin/spark-shell --packages giorgioinf:twitter-stream-ml:0.2.0

sbt

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

spDependencies += "giorgioinf/twitter-stream-ml:0.2.0"

Otherwise,

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

libraryDependencies += "giorgioinf" % "twitter-stream-ml" % "0.2.0"

Maven

In your pom.xml, add: 
<dependencies>
  <!-- list of dependencies -->
  <dependency>
    <groupId>giorgioinf</groupId>
    <artifactId>twitter-stream-ml</artifactId>
    <version>0.2.0</version>
  </dependency>
</dependencies>
<repositories>
  <!-- list of other repositories -->
  <repository>
    <id>SparkPackagesRepo</id>
    <url>https://repos.spark-packages.org/</url>
  </repository>
</repositories>

Releases

Version: 0.2.0 ( 8d7be0 | zip | jar ) / Date: 2016-06-19 / License: GPL-3.0 / Scala version: 2.10