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t

io.citrine.lolo

TrainingResult

trait TrainingResult extends Serializable

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Abstract Value Members

  1. abstract def getModel(): Model[PredictionResult[Any]]

    Get the model contained in the training result

    Get the model contained in the training result

    returns

    the model

Concrete Value Members

  1. final def !=(arg0: Any): Boolean
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  9. final def getClass(): Class[_ <: AnyRef]
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    @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

  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

  12. 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)

  13. def hashCode(): Int
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  18. final def synchronized[T0](arg0: => T0): T0
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  22. final def wait(arg0: Long): Unit
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