Hi Satyajit,
You can just import mllib's Vectors (org.apache.spark.mllib.linalg.Vectors)
and call its fromML method to convert ml's Vector to mllib's Vector.
For example:
import org.apache.spark.mllib.linalg.{Vectors => OldVectors}
val row = check.rdd.map(row =>
OldVectors.fromML(row.getAs[SparseVector]("features")))
val mat = new RowMatrix(row)
-----
Liang-Chi Hsieh | @viirya
Spark Technology Center
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