The XGBoost integration with Spark is currently only supported for RDDs,
there is a ticket for dataframe and folks calm to be working on it.

On Aug 14, 2016 8:15 PM, "Jacek Laskowski" <ja...@japila.pl> wrote:

> Hi,
>
> I've never worked with the library and speaking about sbt setup only.
>
> It appears that the project didn't release 2.11-compatible jars (only
> 2.10) [1] so you need to build the project yourself and uber-jar it
> (using sbt-assembly plugin).
>
> [1] https://spark-packages.org/package/rotationsymmetry/sparkxgboost
>
> Pozdrawiam,
> Jacek Laskowski
> ----
> https://medium.com/@jaceklaskowski/
> Mastering Apache Spark 2.0 http://bit.ly/mastering-apache-spark
> Follow me at https://twitter.com/jaceklaskowski
>
>
> On Sun, Aug 14, 2016 at 7:13 AM, janardhan shetty
> <janardhan...@gmail.com> wrote:
> > Any leads how to do acheive this?
> >
> > On Aug 12, 2016 6:33 PM, "janardhan shetty" <janardhan...@gmail.com>
> wrote:
> >>
> >> I tried using  sparkxgboost package in build.sbt file but it failed.
> >> Spark 2.0
> >> Scala 2.11.8
> >>
> >> Error:
> >>  [warn]
> >> http://dl.bintray.com/spark-packages/maven/
> rotationsymmetry/sparkxgboost/0.2.1-s_2.10/sparkxgboost-0.2.
> 1-s_2.10-javadoc.jar
> >>            [warn]     ::::::::::::::::::::::::::::::::::::::::::::::
> >>            [warn]     ::              FAILED DOWNLOADS            ::
> >>            [warn]     :: ^ see resolution messages for details  ^ ::
> >>            [warn]     ::::::::::::::::::::::::::::::::::::::::::::::
> >>            [warn]     ::
> >> rotationsymmetry#sparkxgboost;0.2.1-s_2.10!sparkxgboost.jar(src)
> >>            [warn]     ::
> >> rotationsymmetry#sparkxgboost;0.2.1-s_2.10!sparkxgboost.jar(doc)
> >>
> >> build.sbt:
> >>
> >> scalaVersion := "2.11.8"
> >>
> >> libraryDependencies ++= {
> >>   val sparkVersion = "2.0.0-preview"
> >>   Seq(
> >>     "org.apache.spark" %% "spark-core" % sparkVersion % "provided",
> >>     "org.apache.spark" %% "spark-sql" % sparkVersion % "provided",
> >>     "org.apache.spark" %% "spark-streaming" % sparkVersion % "provided",
> >>     "org.apache.spark" %% "spark-mllib" % sparkVersion % "provided"
> >>   )
> >> }
> >>
> >> resolvers += "Spark Packages Repo" at
> >> "http://dl.bintray.com/spark-packages/maven";
> >>
> >> libraryDependencies += "rotationsymmetry" % "sparkxgboost" %
> >> "0.2.1-s_2.10"
> >>
> >> assemblyMergeStrategy in assembly := {
> >>   case PathList("META-INF", "MANIFEST.MF")           =>
> >> MergeStrategy.discard
> >>   case PathList("javax", "servlet", xs @ _*)         =>
> >> MergeStrategy.first
> >>   case PathList(ps @ _*) if ps.last endsWith ".html" =>
> >> MergeStrategy.first
> >>   case "application.conf"                            =>
> >> MergeStrategy.concat
> >>   case "unwanted.txt"                                =>
> >> MergeStrategy.discard
> >>
> >>   case x => val oldStrategy = (assemblyMergeStrategy in assembly).value
> >>     oldStrategy(x)
> >>
> >> }
> >>
> >>
> >>
> >>
> >> On Fri, Aug 12, 2016 at 3:35 PM, janardhan shetty <
> janardhan...@gmail.com>
> >> wrote:
> >>>
> >>> Is there a dataframe version of XGBoost in spark-ml ?.
> >>> Has anyone used sparkxgboost package ?
> >>
> >>
> >
>
> ---------------------------------------------------------------------
> To unsubscribe e-mail: user-unsubscr...@spark.apache.org
>
>

Reply via email to