ml.combust.mleap.core.regression

DecisionTreeRegressionModel

case class DecisionTreeRegressionModel(rootNode: Node, numFeatures: Int) extends DecisionTree with Product with Serializable

Class for a decision tree regression model.

rootNode

root decision tree node

numFeatures

number of features used in prediction

Linear Supertypes
Product, Equals, DecisionTree, Serializable, Serializable, AnyRef, Any
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  1. DecisionTreeRegressionModel
  2. Product
  3. Equals
  4. DecisionTree
  5. Serializable
  6. Serializable
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Instance Constructors

  1. new DecisionTreeRegressionModel(rootNode: Node, numFeatures: Int)

    rootNode

    root decision tree node

    numFeatures

    number of features used in prediction

Value Members

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

    Definition Classes
    AnyRef

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

    Definition Classes
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  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

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

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    AnyRef

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

    Definition Classes
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  6. def apply(features: Vector): Double

    Alias for ml.combust.mleap.core.regression.DecisionTreeRegressionModel#predict

    Alias for ml.combust.mleap.core.regression.DecisionTreeRegressionModel#predict

    features

    features for prediction

    returns

    prediction

  7. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  8. def clone(): AnyRef

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

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

    Definition Classes
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  10. def finalize(): Unit

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

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

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  12. final def isInstanceOf[T0]: Boolean

    Definition Classes
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  13. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  14. final def notify(): Unit

    Definition Classes
    AnyRef

  15. final def notifyAll(): Unit

    Definition Classes
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  16. val numFeatures: Int

    number of features used in prediction

  17. def predict(features: Vector): Double

    Predict value for given features.

    Predict value for given features.

    features

    features for predictoin

    returns

    prediction

  18. val rootNode: Node

    root decision tree node

    root decision tree node

    Definition Classes
    DecisionTreeRegressionModel → DecisionTree

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

    Definition Classes
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  20. final def wait(): Unit

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    @throws( ... )

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

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

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Inherited from Product

Inherited from Equals

Inherited from DecisionTree

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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