Value Members

1.  final def !=(arg0: Any): Boolean

   Definition Classes

   AnyRef → Any

2.  final def ##(): Int

   Definition Classes

   AnyRef → Any

3.  final def ==(arg0: Any): Boolean

   Definition Classes

   AnyRef → Any

4.  final def asInstanceOf[T0]: T0

   Definition Classes

   Any

5.  def clone(): AnyRef

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @native() @throws( ... )

6.  val clusterCenters: Array[Vector]

   Annotations

   @Since( "1.0.0" )

7.  def computeCost(data: RDD[Vector]): Double

   Return the K-means cost (sum of squared distances of points to their nearest center) for this model on the given data.

   Return the K-means cost (sum of squared distances of points to their nearest center) for this model on the given data.

   Annotations

   @Since( "0.8.0" )

8.  val distanceMeasure: String

   Annotations

   @Since( "2.4.0" )

9.  final def eq(arg0: AnyRef): Boolean

   Definition Classes

   AnyRef

10.  def equals(arg0: Any): Boolean

    Definition Classes

    AnyRef → Any

11.  def finalize(): Unit

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( classOf[java.lang.Throwable] )

12.  def formatVersion: String

    Current version of model save/load format.

    Current version of model save/load format.

    Attributes

    protected

    Definition Classes

    KMeansModel → Saveable

13.  final def getClass(): Class[_]

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

14.  def hashCode(): Int

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

15.  final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

16.  def k: Int

    Total number of clusters.

    Total number of clusters.

    Annotations

    @Since( "0.8.0" )

17.  final def ne(arg0: AnyRef): Boolean

    Definition Classes

    AnyRef

18.  final def notify(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

19.  final def notifyAll(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

20.  def predict(points: JavaRDD[Vector]): JavaRDD[Integer]

    Maps given points to their cluster indices.

    Maps given points to their cluster indices.

    Annotations

    @Since( "1.0.0" )

21.  def predict(points: RDD[Vector]): RDD[Int]

    Maps given points to their cluster indices.

    Maps given points to their cluster indices.

    Annotations

    @Since( "1.0.0" )

22.  def predict(point: Vector): Int

    Returns the cluster index that a given point belongs to.

    Returns the cluster index that a given point belongs to.

    Annotations

    @Since( "0.8.0" )

23.  def save(sc: SparkContext, path: String): Unit

    Save this model to the given path.

    Save this model to the given path.

    This saves:

    • human-readable (JSON) model metadata to path/metadata/
    • Parquet formatted data to path/data/

    The model may be loaded using Loader.load.

    sc

    Spark context used to save model data.

    path

    Path specifying the directory in which to save this model. If the directory already exists, this method throws an exception.

    Definition Classes

    KMeansModel → Saveable

    Annotations

    @Since( "1.4.0" )

24.  final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes

    AnyRef

25.  def toPMML(): String

    Export the model to a String in PMML format

    Export the model to a String in PMML format

    Definition Classes

    PMMLExportable

    Annotations

    @Since( "1.4.0" )

26.  def toPMML(outputStream: OutputStream): Unit

    Export the model to the OutputStream in PMML format

    Export the model to the OutputStream in PMML format

    Definition Classes

    PMMLExportable

    Annotations

    @Since( "1.4.0" )

27.  def toPMML(sc: SparkContext, path: String): Unit

    Export the model to a directory on a distributed file system in PMML format

    Export the model to a directory on a distributed file system in PMML format

    Definition Classes

    PMMLExportable

    Annotations

    @Since( "1.4.0" )

28.  def toPMML(localPath: String): Unit

    Export the model to a local file in PMML format

    Export the model to a local file in PMML format

    Definition Classes

    PMMLExportable

    Annotations

    @Since( "1.4.0" )

29.  def toString(): String

    Definition Classes

    AnyRef → Any

30.  val trainingCost: Double

    Annotations

    @Since( "2.4.0" )

31.  final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

32.  final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

33.  final def wait(arg0: Long): Unit

    Definition Classes

    AnyRef

    Annotations

    @native() @throws( ... )