ml.combust.mleap.core.classification

DecisionTreeClassifierModel

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)

    rootNode

    root decision tree node

    numFeatures

    number of features used in prediction

    numClasses

    number of predictable classes

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. def apply(features: Vector): Double

    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

  7. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  8. def clone(): AnyRef

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

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

    Definition Classes
    AnyRef

  10. def finalize(): Unit

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

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

    Definition Classes
    AnyRef → Any

  12. def inputSchema: StructType

    Definition Classes
    ProbabilisticClassificationModel → Model

  13. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

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

    Definition Classes
    AnyRef

  15. final def notify(): Unit

    Definition Classes
    AnyRef

  16. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  17. val numClasses: Int

    number of predictable classes

    number of predictable classes

    Definition Classes
    DecisionTreeClassifierModel → ProbabilisticClassificationModel

  18. val numFeatures: Int

    number of features used in prediction

    number of features used in prediction

    Definition Classes
    DecisionTreeClassifierModel → ProbabilisticClassificationModel

  19. def outputSchema: StructType

    Definition Classes
    ProbabilisticClassificationModel → Model

  20. def predict(features: Vector): Double

    Predict class based on feature vector.

    Predict class based on feature vector.

    features

    feature vector

    returns

    predicted class or probability

    Definition Classes
    ProbabilisticClassificationModel → ClassificationModel

  21. def predictProbabilities(features: Vector): Vector

    Definition Classes
    ProbabilisticClassificationModel

  22. def predictRaw(features: Vector): Vector

    Definition Classes
    DecisionTreeClassifierModel → ProbabilisticClassificationModel

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

    Definition Classes
    ProbabilisticClassificationModel

  24. def probabilityToPrediction(probability: Vector): Double

    Definition Classes
    ProbabilisticClassificationModel

  25. def probabilityToPredictionIndex(probability: Vector): Int

    Definition Classes
    ProbabilisticClassificationModel

  26. def rawToPrediction(raw: Vector): Double

    Definition Classes
    ProbabilisticClassificationModel

  27. def rawToProbability(raw: Vector): Vector

    Definition Classes
    ProbabilisticClassificationModel

  28. def rawToProbabilityInPlace(raw: Vector): Vector

    Definition Classes
    DecisionTreeClassifierModel → ProbabilisticClassificationModel

  29. val rootNode: Node

    root decision tree node

    root decision tree node

    Definition Classes
    DecisionTreeClassifierModel → DecisionTree

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

    Definition Classes
    AnyRef

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

    Definition Classes
    ProbabilisticClassificationModel

  32. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    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

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