c

io.citrine.lolo.bags

MultiTaskBaggedTrainingResult

class MultiTaskBaggedTrainingResult extends MultiTaskTrainingResult

The result of training a bagger on a multi-label combined model.

Linear Supertypes
MultiTaskTrainingResult, TrainingResult, Serializable, AnyRef, Any
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Inherited
  1. MultiTaskBaggedTrainingResult
  2. MultiTaskTrainingResult
  3. TrainingResult
  4. Serializable
  5. AnyRef
  6. Any
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Visibility
  1. Public
  2. Protected

Instance Constructors

  1. new MultiTaskBaggedTrainingResult(models: ParSeq[MultiTaskModel], featureImportance: Option[Vector[Double]], Nib: Vector[Vector[Int]], trainingData: Seq[(Vector[Any], Seq[Any])], useJackknife: Boolean, biasModels: Seq[Option[Model[PredictionResult[Double]]]], rescaleRatios: Seq[Double])

    models

    sequence of multi-models, one for each bag

    featureImportance

    importance of input features

    Nib

    matrix representing number of times each training datum appears in each bag

    trainingData

    multi-label training data

    useJackknife

    whether to enable jackknife uncertainty estimate

    biasModels

    sequence of optional bias-correction models, one for each label

    rescaleRatios

    sequence of uncertainty calibration ratios for each label

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
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    @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
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    @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
    MultiTaskBaggedTrainingResult → 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
    MultiTaskBaggedTrainingResult → TrainingResult
  12. def getModel(): MultiTaskBaggedModel

    Get the model contained in the training result

    Get the model contained in the training result

    returns

    the model

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

Inherited from MultiTaskTrainingResult

Inherited from TrainingResult

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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