hivemall-spark (homepage)

A Hivemall wrapper for Spark

@maropu / (0)

This is a simple wrapper implementation of Hivemall for Spark.
This can make highly scalable machine learning algorithms available in DataFrame and HiveContext.

Tags

  • 1|sql
  • 1|machine learning
  • 1|hive
  • 1|hivemall

How to

Include this package in your Spark Applications using:

spark-shell, pyspark, or spark-submit

> $SPARK_HOME/bin/spark-shell --packages maropu:hivemall-spark:0.0.6

sbt

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

spDependencies += "maropu/hivemall-spark:0.0.6"

Otherwise,

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

libraryDependencies += "maropu" % "hivemall-spark" % "0.0.6"

Maven

In your pom.xml, add: 
<dependencies>
  <!-- list of dependencies -->
  <dependency>
    <groupId>maropu</groupId>
    <artifactId>hivemall-spark</artifactId>
    <version>0.0.6</version>
  </dependency>
</dependencies>
<repositories>
  <!-- list of other repositories -->
  <repository>
    <id>SparkPackagesRepo</id>
    <url>https://repos.spark-packages.org/</url>
  </repository>
</repositories>

Releases

Version: 0.0.6 ( 188793 | zip | jar ) / Date: 2016-04-07 / License: Apache-2.0 / Scala version: 2.10

Version: 0.0.5 ( ac9be9 | zip | jar ) / Date: 2015-10-20 / License: Apache-2.0 / Scala version: 2.10

Spark Scala/Java API compatibility: - 100% , - 8% , - 54% , - 29% , - 91% , - 33%

Version: 0.0.4 ( e01f93 | zip | jar ) / Date: 2015-08-18 / License: Apache-2.0 / Scala version: 2.10

Spark Scala/Java API compatibility: - 38% , - 9% , - 64% , - 27% , - 100%

Version: 0.0.3 ( 0dc200 | zip | jar ) / Date: 2015-07-01 / License: Apache-2.0 / Scala version: 2.10

Spark Scala/Java API compatibility: - 44% , - 11% , - 77% , - 32% , - 100%

Version: 0.0.2 ( de1387 | zip | jar ) / Date: 2015-06-29 / License: Apache-2.0 / Scala version: 2.10

Spark Scala/Java API compatibility: - 100% , - 44% , - 11% , - 77% , - 32%

Version: 0.0.1 ( 30859a | zip | jar ) / Date: 2015-06-29 / License: Apache-2.0 / Scala version: 2.10

Spark Scala/Java API compatibility: - 11% , - 77% , - 32% , - 44%