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

KSScoringModel

class KSScoringModel : PDFScoringModel

Constructors

constructor()

Properties

allowLowerLimitAdjustment

open override val allowLowerLimitAdjustment: Boolean = true

Indicates if the lower limit of the domain may be adjusted during scaling processes

allowUpperLimitAdjustment

open override val allowUpperLimitAdjustment: Boolean = true

Indicates if the upper limit of the domain may be adjusted during scaling processes

open override var description: String?

open override var direction: MetricIfc.Direction

override val domain: Interval

open override val name: String

open override var unitsOfMeasure: String?

Functions

open fun badScore(): Score

Returns a valid score that has the worst possible value according to the direction of the meaning of better.

open fun metricData(modaName: String, weight: Double): MetricData

Returns an instance of MetricData based on (modaName, weight)

open override fun newInstance(): KSScoringModel

open override fun score(data: DoubleArray, cdf: ContinuousDistributionIfc): Score

fun score(result: EstimationResult): Score

fun score(data: DoubleArray, parameters: RVParameters): Score

open override fun toString(): String