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

    https://github.com/apache/spark/pull/17117#discussion_r104165225
  
    --- Diff: mllib/src/main/scala/org/apache/spark/ml/clustering/KMeans.scala 
---
    @@ -337,15 +366,61 @@ class KMeans @Since("1.5.0") (
     
       @Since("1.5.0")
       override def transformSchema(schema: StructType): StructType = {
    +    if ($(initMode) == MLlibKMeans.K_MEANS_INITIAL_MODEL) {
    +      if (isSet(initialModel)) {
    +        val initialModelK = $(initialModel).parentModel.k
    +        if (initialModelK != $(k)) {
    +          throw new IllegalArgumentException("The initial model's cluster 
count = " +
    +            s"$initialModelK, mismatched with k = $k.")
    +        }
    +      } else {
    +        throw new IllegalArgumentException("Users must set param 
initialModel if you choose " +
    +          "'initialModel' as the initialization algorithm.")
    +      }
    +    } else {
    +      if (isSet(initialModel)) {
    +        logWarning(s"Param initialModel will take no effect when initMode 
is $initMode.")
    +      }
    +    }
         validateAndTransformSchema(schema)
       }
    +
    +  @Since("2.2.0")
    +  override def write: MLWriter = new KMeans.KMeansWriter(this)
     }
     
     @Since("1.6.0")
    -object KMeans extends DefaultParamsReadable[KMeans] {
    +object KMeans extends MLReadable[KMeans] {
     
       @Since("1.6.0")
       override def load(path: String): KMeans = super.load(path)
    +
    +  @Since("2.2.0")
    +  override def read: MLReader[KMeans] = new KMeansReader
    +
    +  /** [[MLWriter]] instance for [[KMeans]] */
    +  private[KMeans] class KMeansWriter(instance: KMeans) extends MLWriter {
    +
    +    override protected def saveImpl(path: String): Unit = {
    +      DefaultParamsWriter.saveInitialModel(instance, path)
    +      DefaultParamsWriter.saveMetadata(instance, path, sc)
    +    }
    +  }
    +
    +  private class KMeansReader extends MLReader[KMeans] {
    +
    +    override def load(path: String): KMeans = {
    +      val metadata = DefaultParamsReader.loadMetadata(path, sc, 
classOf[KMeans].getName)
    +      val instance = new KMeans(metadata.uid)
    +
    +      DefaultParamsReader.getAndSetParams(instance, metadata)
    +      DefaultParamsReader.loadInitialModel[KMeansModel](path, sc) match {
    --- End diff --
    
    Yeah, your suggestion can work well, but I'm more prefer to my way, since 
it's more clear for developer to understand what happened.


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