case class RotatedFeaturePrediction[T](baseResult: PredictionResult[T], rotatedFeatures: IndexedSeq[Int], trans: DenseMatrix[Double]) extends PredictionResult[T] with Product with Serializable
Prediction bundling the base learner's prediction with the list of rotated features and the transformation
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- RotatedFeaturePrediction
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Instance Constructors
- new RotatedFeaturePrediction(baseResult: PredictionResult[T], rotatedFeatures: IndexedSeq[Int], trans: DenseMatrix[Double])
Value Members
- final def !=(arg0: Any): Boolean
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- final def asInstanceOf[T0]: T0
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- val baseResult: PredictionResult[T]
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- def getExpected(): Seq[T]
Get the expected values for this prediction by delegating to baseResult
Get the expected values for this prediction by delegating to baseResult
- returns
expected value of each prediction
- Definition Classes
- RotatedFeaturePrediction → PredictionResult
- 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
- RotatedFeaturePrediction → PredictionResult
- 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
- 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
- def getUncertainty(observational: Boolean): Option[Seq[Any]]
Get the uncertainty of the prediction by delegating to baseResult
Get the uncertainty of the prediction by delegating to baseResult
- observational
whether the uncertainty should account for observational uncertainty
- returns
uncertainty of each prediction
- Definition Classes
- RotatedFeaturePrediction → PredictionResult
- final def isInstanceOf[T0]: Boolean
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- final def ne(arg0: AnyRef): Boolean
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- final def notify(): Unit
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- final def notifyAll(): Unit
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- def productElementNames: Iterator[String]
- Definition Classes
- Product
- val rotatedFeatures: IndexedSeq[Int]
- final def synchronized[T0](arg0: => T0): T0
- Definition Classes
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- val trans: DenseMatrix[Double]
- final def wait(): Unit
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