Class/Object

org.apache.spark.mllib.tree

DecisionTree

Related Docs: object DecisionTree | package tree

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class DecisionTree extends Serializable with Logging

A class which implements a decision tree learning algorithm for classification and regression. It supports both continuous and categorical features.

Annotations
@Since( "1.0.0" )
Source
DecisionTree.scala
Linear Supertypes
Logging, Serializable, Serializable, AnyRef, Any
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Instance Constructors

  1. new DecisionTree(strategy: Strategy)

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    strategy

    The configuration parameters for the tree algorithm which specify the type of decision tree (classification or regression), feature type (continuous, categorical), depth of the tree, quantile calculation strategy, etc.

    Annotations
    @Since( "1.0.0" )

Value Members

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

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    AnyRef → Any

  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. final def eq(arg0: AnyRef): Boolean

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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

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

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  10. def hashCode(): Int

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  11. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
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    Logging

  12. final def isInstanceOf[T0]: Boolean

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  13. def isTraceEnabled(): Boolean

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    Attributes
    protected
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    Logging

  14. def log: Logger

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    protected
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    Logging

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

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    Logging

  16. def logDebug(msg: ⇒ String): Unit

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

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  18. def logError(msg: ⇒ String): Unit

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

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  20. def logInfo(msg: ⇒ String): Unit

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  21. def logName: String

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

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  23. def logTrace(msg: ⇒ String): Unit

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

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    Logging

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

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

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  27. final def notify(): Unit

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  28. final def notifyAll(): Unit

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  29. def run(input: RDD[LabeledPoint]): DecisionTreeModel

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    Method to train a decision tree model over an RDD

    Method to train a decision tree model over an RDD

    input

    Training data: RDD of org.apache.spark.mllib.regression.LabeledPoint.

    returns

    DecisionTreeModel that can be used for prediction.

    Annotations
    @Since( "1.2.0" )

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

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  31. def toString(): String

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  32. final def wait(): Unit

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    @throws( ... )

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

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

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Inherited from Logging

Inherited from Serializable

Inherited from Serializable

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