apache-hivemall (homepage)

Apache Hivemall released binaries for Spark Packages

Apache Hivemall is a scalable machine learning library that runs on Apache Hive, Apache Spark, and Apache Pig. Hivemall is designed to be scalable to the number of training instances as well as the number of training features.

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How to

Include this package in your Spark Applications using:

spark-shell, pyspark, or spark-submit

> $SPARK_HOME/bin/spark-shell --packages apache-hivemall:apache-hivemall:0.5.1-spark2.2

sbt

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

spDependencies += "apache-hivemall/apache-hivemall:0.5.1-spark2.2"

Otherwise,

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

libraryDependencies += "apache-hivemall" % "apache-hivemall" % "0.5.1-spark2.2"

Maven

In your pom.xml, add: 
<dependencies>
  <!-- list of dependencies -->
  <dependency>
    <groupId>apache-hivemall</groupId>
    <artifactId>apache-hivemall</artifactId>
    <version>0.5.1-spark2.2</version>
  </dependency>
</dependencies>
<repositories>
  <!-- list of other repositories -->
  <repository>
    <id>SparkPackagesRepo</id>
    <url>https://repos.spark-packages.org/</url>
  </repository>
</repositories>

Releases

Version: 0.5.1-spark2.2 ( f331a8 | zip | jar ) / Date: 2018-04-05 / License: Apache-2.0 / Scala version: 2.11

Version: 0.5.1-spark2.1 ( 2e6531 | zip | jar ) / Date: 2018-04-05 / License: Apache-2.0 / Scala version: 2.11

Version: 0.5.1-spark2.0 ( 9094ac | zip | jar ) / Date: 2018-04-05 / License: Apache-2.0 / Scala version: 2.11