org.apache.spark.mllib.tree.model

DecisionTreeModel

class DecisionTreeModel extends Serializable with Saveable

Experimental

Decision tree model for classification or regression. This model stores the decision tree structure and parameters.

Annotations
@Since( "1.0.0" ) @Experimental()
Linear Supertypes
Saveable, Serializable, Serializable, AnyRef, Any
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  1. DecisionTreeModel
  2. Saveable
  3. Serializable
  4. Serializable
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Instance Constructors

  1. new DecisionTreeModel(topNode: Node, algo: Algo)

    topNode

    root node

    algo

    algorithm type -- classification or regression

    Annotations
    @Since( "1.0.0" )

Value Members

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

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

  4. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  6. val algo: Algo

    algorithm type -- classification or regression

    algorithm type -- classification or regression

    Annotations
    @Since( "1.0.0" )

  7. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  8. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  9. def depth: Int

    Get depth of tree.

    Get depth of tree. E.g.: Depth 0 means 1 leaf node. Depth 1 means 1 internal node and 2 leaf nodes.

    Annotations
    @Since( "1.1.0" )

  10. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  11. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  12. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  13. def formatVersion: String

    Current version of model save/load format.

    Current version of model save/load format.

    Attributes
    protected
    Definition Classes
    DecisionTreeModel → Saveable

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

    Definition Classes
    AnyRef → Any

  15. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  16. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

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

    Definition Classes
    AnyRef

  18. final def notify(): Unit

    Definition Classes
    AnyRef

  19. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  20. def numNodes: Int

    Get number of nodes in tree, including leaf nodes.

    Get number of nodes in tree, including leaf nodes.

    Annotations
    @Since( "1.1.0" )

  21. def predict(features: JavaRDD[Vector]): JavaRDD[Double]

    Predict values for the given data set using the model trained.

    Predict values for the given data set using the model trained.

    features

    JavaRDD representing data points to be predicted

    returns

    JavaRDD of predictions for each of the given data points

    Annotations
    @Since( "1.2.0" )

  22. def predict(features: RDD[Vector]): RDD[Double]

    Predict values for the given data set using the model trained.

    Predict values for the given data set using the model trained.

    features

    RDD representing data points to be predicted

    returns

    RDD of predictions for each of the given data points

    Annotations
    @Since( "1.0.0" )

  23. def predict(features: Vector): Double

    Predict values for a single data point using the model trained.

    Predict values for a single data point using the model trained.

    features

    array representing a single data point

    returns

    Double prediction from the trained model

    Annotations
    @Since( "1.0.0" )

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

    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
    DecisionTreeModel → Saveable
    Annotations
    @Since( "1.3.0" )

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

    Definition Classes
    AnyRef

  26. def toDebugString: String

    Print the full model to a string.

    Print the full model to a string.

    Annotations
    @Since( "1.2.0" )

  27. def toString(): String

    Print a summary of the model.

    Print a summary of the model.

    Definition Classes
    DecisionTreeModel → AnyRef → Any

  28. val topNode: Node

    root node

    root node

    Annotations
    @Since( "1.0.0" )

  29. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )