SquaredErrorScoringModel

This scoring model represents the sum of squared error between the predicted probabilities (based on the assumed distribution) and the observed probabilities. The break points for the histogram are specified by PDFModeler.equalizedCDFBreakPoints()

Constructors

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constructor()

Properties

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open override val allowLowerLimitAdjustment: Boolean = true

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

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open override val allowUpperLimitAdjustment: Boolean = true

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

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open override var description: String?
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open override var direction: MetricIfc.Direction
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override val domain: Interval
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open override val name: String
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open override var unitsOfMeasure: String?

Functions

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open fun badScore(): Score

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

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

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

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fun score(data: DoubleArray, parameters: RVParameters): Score
open override fun score(data: DoubleArray, cdf: ContinuousDistributionIfc): Score
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open override fun toString(): String