diff --git a/mllib/src/main/scala/org/apache/spark/mllib/feature/Word2Vec.scala b/mllib/src/main/scala/org/apache/spark/mllib/feature/Word2Vec.scala
index 7960f3cab576f5daaea6e8367e6e64ab68c32007..d25a7cd5b439d591312b154462142f03c44e3296 100644
--- a/mllib/src/main/scala/org/apache/spark/mllib/feature/Word2Vec.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/feature/Word2Vec.scala
@@ -71,7 +71,8 @@ class Word2Vec extends Serializable with Logging {
   private var numPartitions = 1
   private var numIterations = 1
   private var seed = Utils.random.nextLong()
-
+  private var minCount = 5
+  
   /**
    * Sets vector size (default: 100).
    */
@@ -114,6 +115,15 @@ class Word2Vec extends Serializable with Logging {
     this
   }
 
+  /** 
+   * Sets minCount, the minimum number of times a token must appear to be included in the word2vec 
+   * model's vocabulary (default: 5).
+   */
+  def setMinCount(minCount: Int): this.type = {
+    this.minCount = minCount
+    this
+  }
+  
   private val EXP_TABLE_SIZE = 1000
   private val MAX_EXP = 6
   private val MAX_CODE_LENGTH = 40
@@ -122,9 +132,6 @@ class Word2Vec extends Serializable with Logging {
   /** context words from [-window, window] */
   private val window = 5
 
-  /** minimum frequency to consider a vocabulary word */
-  private val minCount = 5
-
   private var trainWordsCount = 0
   private var vocabSize = 0
   private var vocab: Array[VocabWord] = null
diff --git a/mllib/src/main/scala/org/apache/spark/mllib/linalg/Vectors.scala b/mllib/src/main/scala/org/apache/spark/mllib/linalg/Vectors.scala
index 47d1a76fa361df2fedbef46fe7bc52dfa7192e13..01f3f90577142791cffe99e3874651d4e049acf2 100644
--- a/mllib/src/main/scala/org/apache/spark/mllib/linalg/Vectors.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/linalg/Vectors.scala
@@ -268,7 +268,7 @@ object Vectors {
    * @param p norm.
    * @return norm in L^p^ space.
    */
-  private[spark] def norm(vector: Vector, p: Double): Double = {
+  def norm(vector: Vector, p: Double): Double = {
     require(p >= 1.0)
     val values = vector match {
       case dv: DenseVector => dv.values