BisectingKMeansModel

Value Members

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

   

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2. final def ##(): Int

   

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

   

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4. final def asInstanceOf[T0]: T0

   

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5. def clone(): AnyRef

   

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   protected[java.lang]

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   @throws( ... )

6. def clusterCenters: Array[Vector]

   

   Leaf cluster centers.

   Leaf cluster centers.

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   @Since( "1.6.0" )

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

   

   Java-friendly version of computeCost().

   Java-friendly version of computeCost().

   Annotations

   @Since( "1.6.0" )

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

   

   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

   

   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. final def eq(arg0: AnyRef): Boolean

    

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11. def equals(arg0: Any): Boolean

    

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12. def finalize(): Unit

    

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

13. def formatVersion: String

    

    Current version of model save/load format.

    Current version of model save/load format.

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    Definition Classes

    BisectingKMeansModel → Saveable

14. final def getClass(): Class[_]

    

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15. def hashCode(): Int

    

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

    

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    Logging

17. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

    

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18. final def isInstanceOf[T0]: Boolean

    

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19. def isTraceEnabled(): Boolean

    

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20. lazy val k: Int

    

    Number of leaf clusters.

21. def log: Logger

    

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22. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

    

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23. def logDebug(msg: ⇒ String): Unit

    

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24. def logError(msg: ⇒ String, throwable: Throwable): Unit

    

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25. def logError(msg: ⇒ String): Unit

    

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26. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

    

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27. def logInfo(msg: ⇒ String): Unit

    

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28. def logName: String

    

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29. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

    

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30. def logTrace(msg: ⇒ String): Unit

    

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31. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

    

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32. def logWarning(msg: ⇒ String): Unit

    

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33. final def ne(arg0: AnyRef): Boolean

    

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34. final def notify(): Unit

    

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35. final def notifyAll(): Unit

    

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

    

    Java-friendly version of predict().

    Java-friendly version of predict().

    Annotations

    @Since( "1.6.0" )

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

    

    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" )

38. def predict(point: Vector): Int

    

    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" )

39. 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

    BisectingKMeansModel → Saveable

    Annotations

    @Since( "2.0.0" )

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

    

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41. def toString(): String

    

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42. final def wait(): Unit

    

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

    

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44. final def wait(arg0: Long): Unit

    

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