From 621b50528dc0741e622d468834128ee1b492837f Mon Sep 17 00:00:00 2001
From: gouravgupta92 <gouravgupta3312@gmail.com>
Date: Mon, 6 Apr 2015 13:11:55 +0530
Subject: [PATCH] Update HashingTF.scala

transform function should return SparseVector instead of Vector.
---
 .../main/scala/org/apache/spark/mllib/feature/HashingTF.scala   | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/mllib/src/main/scala/org/apache/spark/mllib/feature/HashingTF.scala b/mllib/src/main/scala/org/apache/spark/mllib/feature/HashingTF.scala
index c53475818395f..7e2c9241430f9 100644
--- a/mllib/src/main/scala/org/apache/spark/mllib/feature/HashingTF.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/feature/HashingTF.scala
@@ -47,7 +47,7 @@ class HashingTF(val numFeatures: Int) extends Serializable {
   /**
    * Transforms the input document into a sparse term frequency vector.
    */
-  def transform(document: Iterable[_]): Vector = {
+  def transform(document: Iterable[_]): SparseVector = {
     val termFrequencies = mutable.HashMap.empty[Int, Double]
     document.foreach { term =>
       val i = indexOf(term)