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From sethah <>
Subject [GitHub] spark pull request #17117: [SPARK-10780][ML] Support initial model for KMean...
Date Fri, 03 Mar 2017 06:25:49 GMT
Github user sethah commented on a diff in the pull request:
    --- Diff: mllib/src/main/scala/org/apache/spark/ml/clustering/KMeans.scala ---
    @@ -253,7 +255,18 @@ object KMeansModel extends MLReadable[KMeansModel] {
     class KMeans @Since("1.5.0") (
         @Since("1.5.0") override val uid: String)
    -  extends Estimator[KMeansModel] with KMeansParams with DefaultParamsWritable {
    +  extends Estimator[KMeansModel]
    +    with KMeansParams with HasInitialModel[KMeansModel] with MLWritable {
    +  /**
    +   * A KMeansModel to use for warm start.
    +   * Note the cluster count of initial model must be equal with [[k]],
    +   * otherwise, throws IllegalArgumentException.
    +   * @group param
    +   */
    +  @Since("2.2.0")
    +  final val initialModel: Param[KMeansModel] =
    --- End diff --
    I prefer doing this in the same way that ALS does it. By having separate param traits
`KMeansParams extends KMeansModelParams with HasInitialModel`. It's more explicit since now
our `KMeans` class would have extra params on top of `KMeansParams`. 

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