mleap (homepage)

MLeap allows for easily putting Spark ML pipelines into production

@TrueCar / (2)

Release your Spark packages from the requirements of a SparkContext and Spark jars with MLeap! Run Spark-trained pipelines in Hadoop, Spark, a JSON API server or anywhere else you can think of in the JVM!

Tags

  • 1|ml
  • 1|machine learning
  • 1|mllib

How to

Include this package in your Spark Applications using:

spark-shell, pyspark, or spark-submit

> $SPARK_HOME/bin/spark-shell --packages com.truecar.mleap:mleap-package_2.10:0.1.5

sbt

In your sbt build file, add:

libraryDependencies += "com.truecar.mleap" % "mleap-package_2.10" % "0.1.5"

Maven

In your pom.xml, add: 
<dependencies>
  <!-- list of dependencies -->
  <dependency>
    <groupId>com.truecar.mleap</groupId>
    <artifactId>mleap-package_2.10</artifactId>
    <version>0.1.5</version>
  </dependency>
</dependencies>

Releases

Version: 0.1.5 ( 2156b7 | zip | jar ) / Date: 2016-06-06 / License: Apache-2.0 / Scala version: 2.10

Version: 0.1.3 ( 3fa536 | zip | jar ) / Date: 2016-04-19 / License: Apache-2.0 / Scala version: 2.10

Version: 0.1.1 ( f07d41 | zip | jar ) / Date: 2016-04-19 / License: Apache-2.0 / Scala version: 2.10

Version: 0.1.0 ( 65f7f4 | zip | jar ) / Date: 2016-04-18 / License: Apache-2.0 / Scala version: 2.10