DecisionTreeClassifierModel

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. final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

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

    AnyRef

16. val numClasses: Int

    number of predictable classes

    number of predictable classes

    Definition Classes

    DecisionTreeClassifierModel → MultinomialClassificationModel

17. val numFeatures: Int

    number of features used in prediction

18. 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

    MultinomialClassificationModel → ClassificationModel

19. def predictProbabilities(features: Vector): Vector

    Definition Classes

    MultinomialClassificationModel

20. def predictRaw(features: Vector): Vector

    Definition Classes

    DecisionTreeClassifierModel → MultinomialClassificationModel

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

    Definition Classes

    MultinomialClassificationModel

22. def probabilityToPrediction(probability: Vector): Double

    Definition Classes

    MultinomialClassificationModel

23. def rawToPrediction(raw: Vector): Double

    Definition Classes

    MultinomialClassificationModel

24. def rawToProbability(raw: Vector): Vector

    Definition Classes

    MultinomialClassificationModel

25. def rawToProbabilityInPlace(raw: Vector): Vector

    Definition Classes

    DecisionTreeClassifierModel → MultinomialClassificationModel

26. val rootNode: Node

    root decision tree node

    root decision tree node

    Definition Classes

    DecisionTreeClassifierModel → DecisionTree

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

    Definition Classes

    AnyRef

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

    Definition Classes

    MultinomialClassificationModel

29. final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )