Class/Object

ml.combust.mleap.core.classification

RandomForestClassifierModel

Related Docs: object RandomForestClassifierModel | package classification

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case class RandomForestClassifierModel(trees: Seq[DecisionTreeClassifierModel], treeWeights: Seq[Double], numFeatures: Int, numClasses: Int) extends ProbabilisticClassificationModel with TreeEnsemble with Serializable with Product

Class for random forest classification models.

trees

trees of the random forest

numFeatures

number of features in feature vector

numClasses

number of predictable classes

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

  1. new RandomForestClassifierModel(trees: Seq[DecisionTreeClassifierModel], treeWeights: Seq[Double], numFeatures: Int, numClasses: Int)

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    trees

    trees of the random forest

    numFeatures

    number of features in feature vector

    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. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    AnyRef

  12. final def notify(): Unit

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    Definition Classes
    AnyRef

  13. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  14. val numClasses: Int

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    number of predictable classes

    number of predictable classes

    Definition Classes
    RandomForestClassifierModel → ProbabilisticClassificationModel

  15. val numFeatures: Int

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    number of features in feature vector

  16. def numTrees: Int

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    Number of trees in the ensemble

    Number of trees in the ensemble

    Definition Classes
    TreeEnsemble

  17. 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

  18. def predictProbabilities(features: Vector): Vector

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    Definition Classes
    ProbabilisticClassificationModel

  19. def predictRaw(raw: Vector): Vector

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    Definition Classes
    RandomForestClassifierModel → ProbabilisticClassificationModel

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

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    Definition Classes
    ProbabilisticClassificationModel

  21. def probabilityToPrediction(probability: Vector): Double

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    Definition Classes
    ProbabilisticClassificationModel

  22. def rawToPrediction(raw: Vector): Double

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    Definition Classes
    ProbabilisticClassificationModel

  23. def rawToProbability(raw: Vector): Vector

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    Definition Classes
    ProbabilisticClassificationModel

  24. def rawToProbabilityInPlace(raw: Vector): Vector

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    Definition Classes
    RandomForestClassifierModel → ProbabilisticClassificationModel

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

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    Definition Classes
    AnyRef

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

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    Definition Classes
    ProbabilisticClassificationModel

  27. val treeWeights: Seq[Double]

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    Weights for each tree.

    Weights for each tree.

    Definition Classes
    RandomForestClassifierModel → TreeEnsemble

  28. val trees: Seq[DecisionTreeClassifierModel]

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    trees of the random forest

    trees of the random forest

    Definition Classes
    RandomForestClassifierModel → TreeEnsemble

  29. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Product

Inherited from Equals

Inherited from Serializable

Inherited from Serializable

Inherited from TreeEnsemble

Inherited from ProbabilisticClassificationModel

Inherited from ClassificationModel

Inherited from AnyRef

Inherited from Any

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