Yes most likely due to hashing tf returns ml vectors while you need mllib
vectors for row matrix.
I'd recommend using the vector conversion utils (I think in
mllib.linalg.Vectors but I'm on mobile right now so can't recall exactly).
There are until methods for converting single vectors as well as
Hi All,
PFB code.
import org.apache.spark.ml.feature.{HashingTF, IDF}
import org.apache.spark.ml.linalg.SparseVector
import org.apache.spark.mllib.linalg.distributed.RowMatrix
import org.apache.spark.sql.SparkSession
import org.apache.spark.{SparkConf, SparkContext}
/**
* Created by satyajit
