class RegressionTreeTrainingResult extends TrainingResult
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- RegressionTreeTrainingResult
- TrainingResult
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- new RegressionTreeTrainingResult(rootTrainingNode: TrainingNode[AnyVal, Double], encoders: Seq[Option[CategoricalEncoder[Any]]])
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- def getFeatureImportance(): Option[Vector[Double]]
Return the pre-computed influences
Return the pre-computed influences
- returns
feature influences as an array of doubles
- Definition Classes
- RegressionTreeTrainingResult → TrainingResult
- 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
- def getModel(): RegressionTree
Get the model contained in the training result
Get the model contained in the training result
- returns
the model
- Definition Classes
- RegressionTreeTrainingResult → TrainingResult
- 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
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- lazy val importance: ArraySeq[Double]
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- lazy val model: RegressionTree
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