[GitHub] spark pull request: [SPARK-4749] [mllib]: Allow initializing KMean...

[mengxr <gi...@git.apache.org>]

Github user mengxr commented on a diff in the pull request:

    https://github.com/apache/spark/pull/3610#discussion_r22077324
  
    --- Diff: mllib/src/main/scala/org/apache/spark/mllib/clustering/KMeans.scala ---
    @@ -353,6 +360,31 @@ object KMeans {
       }
     
       /**
    +   * Trains a k-means model using the given set of parameters.
    +   *
    +   * @param data training points stored as `RDD[Vector]`
    +   * @param k number of clusters
    +   * @param maxIterations max number of iterations
    +   * @param runs number of parallel runs, defaults to 1. The best model is returned.
    +   * @param initializationMode initialization model, either "random" or "k-means||" (default).
    +   * @param seed random seed value for cluster initialization
    +   */
    +  def train(
    --- End diff --
    
    Could you move this to the beginning and make the one without seed call this?


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