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
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