Packages

c

io.citrine.lolo.trees.multitask

MultiTaskTreeTrainingResult

class MultiTaskTreeTrainingResult extends MultiTaskTrainingResult

Linear Supertypes
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. MultiTaskTreeTrainingResult
  2. MultiTaskTrainingResult
  3. TrainingResult
  4. Serializable
  5. AnyRef
  6. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. Protected

Instance Constructors

  1. new MultiTaskTreeTrainingResult(models: Seq[Model[PredictionResult[Any]]], featureImportance: Vector[Double])

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[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.CloneNotSupportedException]) @native()
  6. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  7. def equals(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef → Any
  8. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.Throwable])
  9. final def getClass(): Class[_ <: AnyRef]
    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
    MultiTaskTreeTrainingResultTrainingResult
  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(): ParallelModels

    Get the model contained in the training result

    Get the model contained in the training result

    returns

    the model

    Definition Classes
    MultiTaskTreeTrainingResultMultiTaskTrainingResultTrainingResult
  13. def getModels(): Seq[Model[PredictionResult[Any]]]
  14. def getPredictedVsActual(): Option[Seq[(Vector[Any], Seq[Option[Any]], Seq[Option[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
    MultiTaskTrainingResultTrainingResult
  15. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  16. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  17. val model: ParallelModels
  18. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  19. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  20. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  21. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  22. def toString(): String
    Definition Classes
    AnyRef → Any
  23. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  24. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  25. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()

Inherited from TrainingResult

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped