spark-timeseries (homepage)
A library for time series analysis on Apache Spark
@sryza / (0)
The spark-ts package aims to provide
* A set of abstractions for manipulating large time series data sets, similar to what's provided for smaller data sets in Pandas, Matlab, and R's zoo and xts packages.
* Models, tests, and functions that enable dealing with time series from a statistical perspective, similar to what's provided in StatsModels and a variety of Matlab and R packages.
Tags (No tags yet, login to add one. )
How to
Include this package in your Spark Applications using:
spark-shell, pyspark, or spark-submit
> $SPARK_HOME/bin/spark-shell --packages com.cloudera.sparkts:sparkts:0.4.1
sbt
In your sbt build file, add:
libraryDependencies += "com.cloudera.sparkts" % "sparkts" % "0.4.1"
Maven
In your pom.xml, add:<dependencies>
<!-- list of dependencies -->
<dependency>
<groupId>com.cloudera.sparkts</groupId>
<artifactId>sparkts</artifactId>
<version>0.4.1</version>
</dependency>
</dependencies>
Releases
Version: 0.4.1 ( e5074d | zip | jar ) / Date: 2016-11-15 / License: Apache-2.0 / Scala version: 2.11