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t

io.citrine.lolo

PredictionResult

trait PredictionResult[+T] extends AnyRef

Container for prediction results; must include expected values Created by maxhutch on 11/29/16.

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MultiResult, BaggedResult, GuessTheMeanResult, LinearRegressionResult, StandardizerPrediction, ClassificationResult, RegressionTreeResult
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Abstract Value Members

  1. abstract def getExpected(): Seq[T]

    Get the expected values for this prediction

    Get the expected values for this prediction

    returns

    expected value of each prediction

Concrete Value Members

  1. final def !=(arg0: Any): Boolean
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  9. final def getClass(): Class[_]
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  10. 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

  11. def getImportanceScores(): Option[Seq[Seq[Double]]]

    Get the training row scores for each prediction

    Get the training row scores for each prediction

    returns

    training row scores of each prediction

  12. 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

  13. def getUncertainty(): Option[Seq[Any]]

    Get the uncertainty of the prediction

    Get the uncertainty of the prediction

    For example, in regression this is sqrt(bias^2 + variance)

    returns

    uncertainty of each prediction

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