This works for me import org.apache.spark.mllib.linalg._ import org.apache.spark.mllib.linalg.distributed.RowMatrix
val v1=Vectors.dense(Array(1d,2d)) val v2=Vectors.dense(Array(3d,4d)) val rows=sc.parallelize(List(v1,v2)) val mat=new RowMatrix(rows) val svd: SingularValueDecomposition[RowMatrix, Matrix] = mat.computeSVD(2, computeU = true) On Wed, Oct 22, 2014 at 1:55 AM, viola <viola.wiersc...@siemens.com> wrote: > Thanks for the quick response. However, I still only get error messages. I > am > able to load a .txt file with entries in it and use it in sparks, but I am > not able to create a simple matrix, for instance a 2x2 row matrix > [1 2 > 3 4] > I tried variations such as > val RowMatrix = Matrix(2,2,array(1,3,2,4)) > but it doesn't work.. > > > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/create-a-Row-Matrix-tp16913p16993.html > Sent from the Apache Spark User List mailing list archive at Nabble.com. > > --------------------------------------------------------------------- > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > For additional commands, e-mail: user-h...@spark.apache.org > >
