Packages

c

io.citrine.lolo.trees.classification

ClassificationTrainingResult

class ClassificationTrainingResult extends TrainingResult

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TrainingResult, Serializable, Serializable, AnyRef, Any
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  1. ClassificationTrainingResult
  2. TrainingResult
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Visibility
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Instance Constructors

  1. new ClassificationTrainingResult(rootTrainingNode: TrainingNode[AnyVal, Char], inputEncoders: Seq[Option[CategoricalEncoder[Any]]], outputEncoder: CategoricalEncoder[Any])

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
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    @native() @throws( ... )
  6. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  7. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  8. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  9. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  10. def getFeatureImportance(): Option[Vector[Double]]

    Get a measure of the importance of the model features

    Get a measure of the importance of the model features

    returns

    feature influences as an array of doubles

    Definition Classes
    ClassificationTrainingResult → TrainingResult
  11. def getLoss(): Option[Double]

    Get a measure of the loss of the model, e.g.

    Get a measure of the loss of the model, e.g. RMS OOB error

    Definition Classes
    TrainingResult
  12. def getModel(): ClassificationTree

    Get the model contained in the training result

    Get the model contained in the training result

    returns

    the model

    Definition Classes
    ClassificationTrainingResult → TrainingResult
  13. def getPredictedVsActual(): Option[Seq[(Vector[Any], Any, Any)]]

    Get the predicted vs actual values, e.g.

    Get the predicted vs actual values, e.g. from OOB

    returns

    seq of (feature vector, predicted value, and actual value)

    Definition Classes
    TrainingResult
  14. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  15. lazy val importance: ArraySeq[Double]
  16. lazy val importanceNormalized: ArraySeq[Double]
  17. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  18. lazy val model: ClassificationTree
  19. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  20. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  21. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  22. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  23. def toString(): String
    Definition Classes
    AnyRef → Any
  24. final def wait(): Unit
    Definition Classes
    AnyRef
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    @throws( ... )
  25. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
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    @throws( ... )
  26. final def wait(arg0: Long): Unit
    Definition Classes
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    @native() @throws( ... )

Inherited from TrainingResult

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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