KSLCore/ksl.app.dist.result/ModaResultDTO

ModaResultDTO

@Serializable

data class ModaResultDTO(val modelName: String, val rankingMethod: String, val metrics: List<MetricDTO>, val scores: List<ModaScoreDTO>, val values: List<ModaValueDTO>, val rankFrequencies: List<RankFrequencyDTO>)(source)

Wire-safe MODA scoring result for a continuous fit, capturing the FULL multi-objective decision analysis (metrics, raw scores, transformed values, ranks, rank frequencies).

The member DTOs mirror, field for field, the record classes the engine's AdditiveMODAModel already emits (MetricData, ScoreData, ValueData, AlternativeRankFrequencyData) — minus their DbTableData baggage (the non-deterministic global-counter id and the repeated modaName). The result extractor populates these by calling the model's own producers and copying the primitive fields, so the mapping is lossless.

Lists are flat/normalized and keyed by alternative, which equals the displayName of the corresponding DistributionFitDTO. The overall weighted value / first-rank count / average ranking (the engine's OverallValueData) are intentionally NOT duplicated here — they are the headline fields on each DistributionFitDTO.

Populated in a later phase; null on the result until then.

Constructors

ModaResultDTO

constructor(modelName: String, rankingMethod: String, metrics: List<MetricDTO>, scores: List<ModaScoreDTO>, values: List<ModaValueDTO>, rankFrequencies: List<RankFrequencyDTO>)

Properties

metrics

val metrics: List<MetricDTO>

modelName

val modelName: String

rankFrequencies

val rankFrequencies: List<RankFrequencyDTO>

rankingMethod

val rankingMethod: String

scores

val scores: List<ModaScoreDTO>

values

val values: List<ModaValueDTO>