org.apache.spark.mllib.tree

DecisionTree

class DecisionTree extends Serializable with Logging

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

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@Experimental()
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Logging, Serializable, Serializable, AnyRef, Any
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Instance Constructors

  1. new DecisionTree(strategy: Strategy)

    strategy

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

Value Members

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

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

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  3. final def ##(): Int

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  10. def finalize(): Unit

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

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  12. def hashCode(): Int

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  13. final def isInstanceOf[T0]: Boolean

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  14. def isTraceEnabled(): Boolean

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  15. def log: Logger

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

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

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

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

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

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

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  22. def logName: String

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

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

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

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

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

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  28. final def notify(): Unit

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  29. final def notifyAll(): Unit

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

    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

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

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  32. def toString(): String

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  33. final def wait(): Unit

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

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

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Deprecated Value Members

  1. def train(input: RDD[LabeledPoint]): DecisionTreeModel

    Trains a decision tree model over an RDD.

    Trains a decision tree model over an RDD. This is deprecated because it hides the static methods with the same name in Java.

    Annotations
    @deprecated
    Deprecated

    (Since version 1.2.0) Please use DecisionTree.run instead.

Inherited from Logging

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