Class

ml.combust.mleap.core.classification

DecisionTreeClassifierModel

Related Doc: package classification

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case class DecisionTreeClassifierModel(rootNode: Node, numFeatures: Int, numClasses: Int) extends ProbabilisticClassificationModel with DecisionTree with Serializable with Product

Class for decision tree classification models.

rootNode

root decision tree node

numFeatures

number of features used in prediction

numClasses

number of predictable classes

Linear Supertypes
Product, Equals, DecisionTree, Serializable, Serializable, ProbabilisticClassificationModel, ClassificationModel, Model, AnyRef, Any
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Inherited
  1. DecisionTreeClassifierModel
  2. Product
  3. Equals
  4. DecisionTree
  5. Serializable
  6. Serializable
  7. ProbabilisticClassificationModel
  8. ClassificationModel
  9. Model
  10. AnyRef
  11. Any
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Instance Constructors

  1. new DecisionTreeClassifierModel(rootNode: Node, numFeatures: Int, numClasses: Int)

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    rootNode

    root decision tree node

    numFeatures

    number of features used in prediction

    numClasses

    number of predictable classes

Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    AnyRef → Any

  4. def apply(features: Vector): Double

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    Alias for ml.combust.mleap.core.classification.ClassificationModel#predict.

    Alias for ml.combust.mleap.core.classification.ClassificationModel#predict.

    features

    feature vector

    returns

    prediction

    Definition Classes
    ClassificationModel

  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. def clone(): AnyRef

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

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

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    Definition Classes
    AnyRef

  8. def finalize(): Unit

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

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

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    Definition Classes
    AnyRef → Any

  10. def inputSchema: StructType

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    Definition Classes
    ProbabilisticClassificationModel → Model

  11. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    AnyRef

  13. final def notify(): Unit

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    Definition Classes
    AnyRef

  14. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  15. val numClasses: Int

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    number of predictable classes

    number of predictable classes

    Definition Classes
    DecisionTreeClassifierModel → ProbabilisticClassificationModel

  16. val numFeatures: Int

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    number of features used in prediction

    number of features used in prediction

    Definition Classes
    DecisionTreeClassifierModel → ProbabilisticClassificationModel

  17. def outputSchema: StructType

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    Definition Classes
    ProbabilisticClassificationModel → Model

  18. def predict(features: Vector): Double

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    Predict class based on feature vector.

    Predict class based on feature vector.

    features

    feature vector

    returns

    predicted class or probability

    Definition Classes
    ProbabilisticClassificationModel → ClassificationModel

  19. def predictProbabilities(features: Vector): Vector

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    Definition Classes
    ProbabilisticClassificationModel

  20. def predictRaw(features: Vector): Vector

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    Definition Classes
    DecisionTreeClassifierModel → ProbabilisticClassificationModel

  21. def predictWithProbability(features: Vector): (Double, Double)

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    Definition Classes
    ProbabilisticClassificationModel

  22. def probabilityToPrediction(probability: Vector): Double

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    Definition Classes
    ProbabilisticClassificationModel

  23. def probabilityToPredictionIndex(probability: Vector): Int

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    Definition Classes
    ProbabilisticClassificationModel

  24. def rawToPrediction(raw: Vector): Double

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    Definition Classes
    ProbabilisticClassificationModel

  25. def rawToProbability(raw: Vector): Vector

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    Definition Classes
    ProbabilisticClassificationModel

  26. def rawToProbabilityInPlace(raw: Vector): Vector

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    Definition Classes
    DecisionTreeClassifierModel → ProbabilisticClassificationModel

  27. val rootNode: Node

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    root decision tree node

    root decision tree node

    Definition Classes
    DecisionTreeClassifierModel → DecisionTree

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

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    Definition Classes
    AnyRef

  29. def thresholds: Option[Array[Double]]

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    Definition Classes
    ProbabilisticClassificationModel

  30. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Product

Inherited from Equals

Inherited from DecisionTree

Inherited from Serializable

Inherited from Serializable

Inherited from ProbabilisticClassificationModel

Inherited from ClassificationModel

Inherited from Model

Inherited from AnyRef

Inherited from Any

Ungrouped