sparkling-water (homepage)

Sparkling Water provides H2O algorithms inside Spark cluster

@h2oai / (2)

Sparkling Water connects worlds of H2O and Spark. It enables launching H2O on top of Spark and using H2O capabilities including various ML algorithms, graphical user interface, or R integration.

Tags

  • 1|machine learning
  • 1|h2o
  • 1|algorithms

How to

Include this package in your Spark Applications using:

spark-shell, pyspark, or spark-submit

> $SPARK_HOME/bin/spark-shell --packages ai.h2o:sparkling-water-core_2.10:1.4.3

sbt

In your sbt build file, add:

libraryDependencies += "ai.h2o" % "sparkling-water-core_2.10" % "1.4.3"

Maven

In your pom.xml, add: 
<dependencies>
  <!-- list of dependencies -->
  <dependency>
    <groupId>ai.h2o</groupId>
    <artifactId>sparkling-water-core_2.10</artifactId>
    <version>1.4.3</version>
  </dependency>
</dependencies>

Releases

Version: 1.4.3 ( 34eed8 | zip | jar ) / Date: 2015-07-06 / License: Apache-2.0 / Scala version: 2.10

Spark Scala/Java API compatibility: - 45% , - 100% , - 49% , - 34% , - 85%

Version: 1.3.7 ( 45efd3 | zip | jar ) / Date: 2015-07-06 / License: Apache-2.0 / Scala version: 2.10

Spark Scala/Java API compatibility: - 100% , - 39% , - 99% , - 43% , - 24%

Version: 1.3.3 ( c2a50d | zip | jar ) / Date: 2015-06-04 / License: Apache-2.0 / Scala version: 2.10

Spark Scala/Java API compatibility: - 43% , - 24% , - 100% , - 39%

Version: 0.2.5 ( 0c46ee | zip | jar ) / Date: 2015-01-26 / License: Apache-2.0