libraryDependencies ++= Seq( // other dependencies here "org.apache.spark" %% "spark-core" % "1.6.2" % "provided", "org.apache.spark" %% "spark-mllib" % "1.6.2" % "provided", "org.scalanlp" %% "breeze" % "0.12", // native libraries are not included by default. add this if you want them (as of 0.7) // native libraries greatly improve performance, but increase jar sizes. "org.scalanlp" %% "breeze-natives" % "0.12", )
On Tue, Jul 26, 2016 at 12:49 PM, Martin Somers <sono...@gmail.com> wrote: > cheers - I updated > > libraryDependencies ++= Seq( > // other dependencies here > "org.apache.spark" %% "spark-core" % "1.6.2" % "provided", > "org.apache.spark" %% "spark-mllib_2.10" % "1.6.2", > "org.scalanlp" %% "breeze" % "0.12", > // native libraries are not included by default. add this if > you want them (as of 0.7) > // native libraries greatly improve performance, but > increase jar sizes. > "org.scalanlp" %% "breeze-natives" % "0.12", > ) > > and getting similar error > > Compiling 1 Scala source to > /Users/studio/.sbt/0.13/staging/42f93875138543b4e1d3/sparksample/target/scala-2.11/classes... > [error] > /Users/studio/.sbt/0.13/staging/42f93875138543b4e1d3/sparksample/src/main/scala/MyApp.scala:2: > object mllib is not a member of package org.apache.spark > [error] import org.apache.spark.mllib.linalg.distributed.RowMatrix > [error] ^ > [error] > /Users/studio/.sbt/0.13/staging/42f93875138543b4e1d3/sparksample/src/main/scala/MyApp.scala:3: > object mllib is not a member of package org.apache.spark > [error] import org.apache.spark.mllib.linalg.SingularValueDecomposition > [error] ^ > [error] > /Users/studio/.sbt/0.13/staging/42f93875138543b4e1d3/sparksample/src/main/scala/MyApp.scala:5: > object mllib is not a member of package org.apache.spark > [error] import org.apache.spark.mllib.linalg.{Vector, Vectors} > [error] ^ > [error] > /Users/studio/.sbt/0.13/staging/42f93875138543b4e1d3/sparksample/src/main/scala/MyApp.scala:8: > not found: object breeze > > On Tue, Jul 26, 2016 at 8:36 PM, Michael Armbrust <mich...@databricks.com> > wrote: > >> Also, you'll want all of the various spark versions to be the same. >> >> On Tue, Jul 26, 2016 at 12:34 PM, Michael Armbrust < >> mich...@databricks.com> wrote: >> >>> If you are using %% (double) then you do not need _2.11. >>> >>> On Tue, Jul 26, 2016 at 12:18 PM, Martin Somers <sono...@gmail.com> >>> wrote: >>> >>>> >>>> my build file looks like >>>> >>>> libraryDependencies ++= Seq( >>>> // other dependencies here >>>> "org.apache.spark" %% "spark-core" % "1.6.2" % "provided", >>>> "org.apache.spark" %% "spark-mllib_2.11" % "1.6.0", >>>> "org.scalanlp" % "breeze_2.11" % "0.7", >>>> // native libraries are not included by default. add this >>>> if you want them (as of 0.7) >>>> // native libraries greatly improve performance, but >>>> increase jar sizes. >>>> "org.scalanlp" % "breeze-natives_2.11" % "0.7", >>>> ) >>>> >>>> not 100% sure on the version numbers if they are indeed correct >>>> getting an error of >>>> >>>> [info] Resolving jline#jline;2.12.1 ... >>>> [info] Done updating. >>>> [info] Compiling 1 Scala source to >>>> /Users/studio/.sbt/0.13/staging/42f93875138543b4e1d3/sparksample/target/scala-2.11/classes... >>>> [error] >>>> /Users/studio/.sbt/0.13/staging/42f93875138543b4e1d3/sparksample/src/main/scala/MyApp.scala:2: >>>> object mllib is not a member of package org.apache.spark >>>> [error] import org.apache.spark.mllib.linalg.distributed.RowMatrix >>>> .... >>>> ... >>>> >>>> >>>> Im trying to import in >>>> >>>> import org.apache.spark.mllib.linalg.distributed.RowMatrix >>>> import org.apache.spark.mllib.linalg.SingularValueDecomposition >>>> >>>> import org.apache.spark.mllib.linalg.{Vector, Vectors} >>>> >>>> >>>> import breeze.linalg._ >>>> import breeze.linalg.{ Matrix => B_Matrix } >>>> import breeze.linalg.{ Vector => B_Matrix } >>>> import breeze.linalg.DenseMatrix >>>> >>>> object MyApp { >>>> def main(args: Array[String]): Unit = { >>>> //code here >>>> } >>>> >>>> >>>> It might not be the correct way of doing this >>>> >>>> Anyone got any suggestion >>>> tks >>>> M >>>> >>>> >>>> >>>> >>> >> > > > -- > M >