How to create an empty RowMatrix in Apache Spark
Is there any way to create an empty RowMatrix in Apache Spark. I have tried the following double empty = new double; Vector vector = Vectors.dense(empty); But I can not create a JavaRDD of Vector from vector, so that I can create the RowMatrix out of it. Thanks in Advance.
Looking from https://spark.apache.org/docs/latest/api/scala/index.html#org.apache.spark.mllib.linalg.distributed.RowMatrix, its not possible to create an empty RowMatrix So the constructor requires passing a RDD<Vector> as one of the calling way I tried a sample in spark-shell in Scala. Hope this helps import org.apache.spark.mllib.linalg.Vector import org.apache.spark.mllib.linalg.Vectors import org.apache.spark.mllib.linalg.distributed.RowMatrix val data = sc.parallelize(Array(Array[Double](1,2,3,4),Array[Double](2,3,4,5),Array[Double](3,4,5,6))).map(x=> Vectors.dense(x)) val rowMatrix: RowMatrix = new RowMatrix(data) Now we can perform required operation on the rowMatrix which is type RowMatrix while data is RDD<Vector> Also Vectors.dense require a list of Arrays as Double so we might require to case the initial array as Double if its not already.
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