Getting vector values

[Andrejs Abele]

Hi,

I'm new to Mllib and spark.  I'm trying to use tf-idf and use those values
for term ranking.
I'm getting tf values in vector format, but how can get the values of
vector?

 val sc = new SparkContext(conf)
     val documents: RDD[Seq[String]] =
sc.textFile("/home/andrejs/Datasets/dbpedia/test.txt").map(_.split("
").toSeq)
   documents.foreach(println(_))
   val hashingTF = new HashingTF()
   val tf: RDD[Vector] = hashingTF.transform(documents)

   tf.foreach(println(_))

My output is :
WrappedArray(a, a, b, c)
WrappedArray(e, a, c, d)

(1048576,[97,99,100,101],[1.0,1.0,1.0,1.0])
(1048576,[97,98,99],[2.0,1.0,1.0])

How can I get  [97,99,100,101] out, and [1.0,1.0,1.0,1.0] ?
And how can I map that 100 = 1.0  ?

Some help is greatly appreciated,

Andrejs