Class/Object

org.apache.spark.mllib.clustering

BisectingKMeansModel

Related Docs: object BisectingKMeansModel | package clustering

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class BisectingKMeansModel extends Serializable with Saveable with Logging

Clustering model produced by BisectingKMeans. The prediction is done level-by-level from the root node to a leaf node, and at each node among its children the closest to the input point is selected.

Annotations
@Since( "1.6.0" )
Source
BisectingKMeansModel.scala
Linear Supertypes
Logging, Saveable, Serializable, Serializable, AnyRef, Any
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Inherited
  1. BisectingKMeansModel
  2. Logging
  3. Saveable
  4. Serializable
  5. Serializable
  6. AnyRef
  7. Any
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Visibility
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Instance Constructors

  1. new BisectingKMeansModel(root: ClusteringTreeNode)

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    Annotations
    @Since( "1.6.0" )

Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

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    AnyRef → Any
  3. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0

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    Any
  5. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  6. def clusterCenters: Array[Vector]

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    Leaf cluster centers.

    Leaf cluster centers.

    Annotations
    @Since( "1.6.0" )
  7. def computeCost(data: JavaRDD[Vector]): Double

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    Java-friendly version of computeCost().

    Java-friendly version of computeCost().

    Annotations
    @Since( "1.6.0" )
  8. def computeCost(data: RDD[Vector]): Double

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    Computes the sum of squared distances between the input points and their corresponding cluster centers.

    Computes the sum of squared distances between the input points and their corresponding cluster centers.

    Annotations
    @Since( "1.6.0" )
  9. def computeCost(point: Vector): Double

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    Computes the squared distance between the input point and the cluster center it belongs to.

    Computes the squared distance between the input point and the cluster center it belongs to.

    Annotations
    @Since( "1.6.0" )
  10. val distanceMeasure: String

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    Annotations
    @Since( "2.4.0" )
  11. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  12. def equals(arg0: Any): Boolean

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    Definition Classes
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  13. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  14. def formatVersion: String

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    Current version of model save/load format.

    Current version of model save/load format.

    Attributes
    protected
    Definition Classes
    BisectingKMeansModelSaveable
  15. final def getClass(): Class[_]

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  16. def hashCode(): Int

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  17. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean = false): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  18. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    protected
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    Logging
  19. final def isInstanceOf[T0]: Boolean

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    Any
  20. def isTraceEnabled(): Boolean

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    Attributes
    protected
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    Logging
  21. lazy val k: Int

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    Number of leaf clusters.

  22. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging
  23. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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    protected
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    Logging
  24. def logDebug(msg: ⇒ String): Unit

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    protected
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    Logging
  25. def logError(msg: ⇒ String, throwable: Throwable): Unit

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    Logging
  26. def logError(msg: ⇒ String): Unit

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    protected
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    Logging
  27. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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    protected
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    Logging
  28. def logInfo(msg: ⇒ String): Unit

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    protected
    Definition Classes
    Logging
  29. def logName: String

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    protected
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    Logging
  30. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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    protected
    Definition Classes
    Logging
  31. def logTrace(msg: ⇒ String): Unit

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    protected
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    Logging
  32. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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    protected
    Definition Classes
    Logging
  33. def logWarning(msg: ⇒ String): Unit

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    protected
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    Logging
  34. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  35. final def notify(): Unit

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    Definition Classes
    AnyRef
  36. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  37. def predict(points: JavaRDD[Vector]): JavaRDD[Integer]

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    Java-friendly version of predict().

    Java-friendly version of predict().

    Annotations
    @Since( "1.6.0" )
  38. def predict(points: RDD[Vector]): RDD[Int]

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    Predicts the indices of the clusters that the input points belong to.

    Predicts the indices of the clusters that the input points belong to.

    Annotations
    @Since( "1.6.0" )
  39. def predict(point: Vector): Int

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    Predicts the index of the cluster that the input point belongs to.

    Predicts the index of the cluster that the input point belongs to.

    Annotations
    @Since( "1.6.0" )
  40. def save(sc: SparkContext, path: String): Unit

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    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
    BisectingKMeansModelSaveable
    Annotations
    @Since( "2.0.0" )
  41. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  42. def toString(): String

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    Definition Classes
    AnyRef → Any
  43. final def wait(): Unit

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    Annotations
    @throws( ... )
  44. final def wait(arg0: Long, arg1: Int): Unit

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    @throws( ... )
  45. final def wait(arg0: Long): Unit

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    @throws( ... )

Inherited from Logging

Inherited from Saveable

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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