KSLCore/ksl.utilities.distributions.fitting.scoring/PDFScoringModel

PDFScoringModel

abstract class PDFScoringModel(name: String, domain: Interval = Interval(0.0, Double.MAX_VALUE), allowLowerLimitAdjustment: Boolean = true, allowUpperLimitAdjustment: Boolean = true)

Computes a score to indicate the quality of fit for the proposed continuous distribution for the supplied data

Inheritors

Constructors

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constructor(name: String, domain: Interval = Interval(0.0, Double.MAX_VALUE), allowLowerLimitAdjustment: Boolean = true, allowUpperLimitAdjustment: Boolean = true)

Types

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object Companion

Properties

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val metric: Metric

Functions

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abstract fun newInstance(): PDFScoringModel
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open fun score(result: EstimationResult): Score