kumulant
kumulant/com.eignex.kumulant.stat.calibration/ReliabilityResult

ReliabilityResult

@Serializable
@SerialName(value = "ReliabilityResult")
data class ReliabilityResult(val numBins: Int, val sumProbability: DoubleArray, val sumOutcome: DoubleArray, val totalWeights: DoubleArray) : Result(source)

Per-bin reliability snapshot for a binary probabilistic classifier. Bins are equal-width over [0, 1] indexed by predicted probability. Underlying sums use weights so soft labels and importance-weighted streams compose correctly.

Constructors

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constructor(numBins: Int, sumProbability: DoubleArray, sumOutcome: DoubleArray, totalWeights: DoubleArray)

Properties

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val meanProbability: DoubleArray

Mean predicted probability per bin (NaN where the bin is empty).

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val numBins: Int

Number of equal-width probability bins covering [0, 1].

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val outcomeRate: DoubleArray

Empirical outcome rate per bin (NaN where the bin is empty).

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val sumOutcome: DoubleArray

Sum w_i*outcome_i per bin.

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val sumProbability: DoubleArray

Sum w_i*prob_i per bin.

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val totalWeights: DoubleArray

Sum w_i per bin.

Functions

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open operator override fun equals(other: Any?): Boolean
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fun expectedCalibrationError(): Double

Expected Calibration Error: weighted mean over bins of |meanProbability[i] - outcomeRate[i]|. Empty bins contribute 0.

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open override fun hashCode(): Int

ReliabilityResult

constructor(numBins: Int, sumProbability: DoubleArray, sumOutcome: DoubleArray, totalWeights: DoubleArray)(source)

equals

open operator override fun equals(other: Any?): Boolean(source)

expectedCalibrationError

fun expectedCalibrationError(): Double(source)

Expected Calibration Error: weighted mean over bins of |meanProbability[i] - outcomeRate[i]|. Empty bins contribute 0.

hashCode

open override fun hashCode(): Int(source)

meanProbability

val meanProbability: DoubleArray(source)

Mean predicted probability per bin (NaN where the bin is empty).

numBins

val numBins: Int(source)

Number of equal-width probability bins covering [0, 1].

outcomeRate

val outcomeRate: DoubleArray(source)

Empirical outcome rate per bin (NaN where the bin is empty).

sumOutcome

val sumOutcome: DoubleArray(source)

Sum w_i*outcome_i per bin.

sumProbability

val sumProbability: DoubleArray(source)

Sum w_i*prob_i per bin.

totalWeights

val totalWeights: DoubleArray(source)

Sum w_i per bin.