class GuessTheMeanResult[T] extends PredictionResult[T]
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- new GuessTheMeanResult(result: Seq[T])
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def
getExpected(): Seq[T]
Get the expected values for this prediction
Get the expected values for this prediction
- returns
expected value of each prediction
- Definition Classes
- GuessTheMeanResult → PredictionResult
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def
getGradient(): Option[Seq[Vector[Double]]]
Get the gradient or sensitivity of each prediction
Get the gradient or sensitivity of each prediction
- returns
a vector of doubles for each prediction
- Definition Classes
- PredictionResult
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def
getImportanceScores(): Option[Seq[Seq[Double]]]
Get the training row scores for each prediction
Get the training row scores for each prediction
- returns
sequence (over predictions) of sequence (over training rows) of importances
- Definition Classes
- PredictionResult
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def
getInfluenceScores(actuals: Seq[Any]): Option[Seq[Seq[Double]]]
Get the improvement (positive) or damage (negative) due to each training row on a prediction
Get the improvement (positive) or damage (negative) due to each training row on a prediction
- actuals
to assess the improvement or damage against
- returns
Sequence (over predictions) of sequence (over training rows) of influence
- Definition Classes
- PredictionResult
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def
getUncertainty(observational: Boolean = true): Option[Seq[Any]]
Get the "uncertainty" of the prediction
Get the "uncertainty" of the prediction
For regression, this should be the TotalError if non-observational and the StdDevObs if observational
- observational
whether the uncertainty should account for observational uncertainty
- returns
uncertainty of each prediction
- Definition Classes
- PredictionResult
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