DFST (homepage)

This package implements DFST (Distributed FastShapelet Transform). DFST is the first time series classification algorithm developed for distributed environments (Spark). This algorithm performs a shapelet transform on a data set, trains a Random Forest mod

@fjbaldan / (1)

Time series classification algorithm based on Shapelets

Tags

  • 1|big data
  • 1|classification
  • 1|Time series
  • 1|Shapelets

How to

Include this package in your Spark Applications using:

spark-shell, pyspark, or spark-submit

> $SPARK_HOME/bin/spark-shell --packages fjbaldan:DFST:1.1

sbt

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

spDependencies += "fjbaldan/DFST:1.1"

Otherwise,

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

libraryDependencies += "fjbaldan" % "DFST" % "1.1"

Maven

In your pom.xml, add: 
<dependencies>
  <!-- list of dependencies -->
  <dependency>
    <groupId>fjbaldan</groupId>
    <artifactId>DFST</artifactId>
    <version>1.1</version>
  </dependency>
</dependencies>
<repositories>
  <!-- list of other repositories -->
  <repository>
    <id>SparkPackagesRepo</id>
    <url>https://repos.spark-packages.org/</url>
  </repository>
</repositories>

Releases

Version: 1.1 ( 111267 | zip | jar ) / Date: 2018-01-31 / License: Apache-2.0 / Scala version: 2.10

Version: 1.0 ( c778bc | zip | jar ) / Date: 2018-01-30 / License: Apache-2.0 / Scala version: 2.10