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Nova Credit Income Model Reconcile Confidence Scores
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| export interface ConfidenceScores { | |
| score_conventional: number; | |
| score_non_conventional: number; | |
| score_non_wage?: number; | |
| }; | |
| /** | |
| * Given a list of inflow streams with confidence scores separated for wage, non-wage, and non-conventional, | |
| * filter out any inflow streams below all thresholds, then find and map the highest score remaining | |
| * as the final confidence score for the inflow stream. | |
| * @param inflowStreamsWithConfidenceScores The list of inflow streams with their separated confidence scores. | |
| * @returns The list of inflow streams above at least 1 score threshold with the final confidence score mapped | |
| * — each inflow stream still includes each individual confidence score for insertion to the model logs table | |
| */ | |
| const reconcileConfidenceScores = <T1 extends ConfidenceScores, T2 extends T1 & { confidence_score: number } >( | |
| inflowStreamsWithConfidenceScores: T1[], | |
| ): T2[] => { | |
| const initial: T2[] = []; | |
| return inflowStreamsWithConfidenceScores.reduce((list, withConfidenceInputs) => { | |
| const finalConfidenceScore = getMaxScoreAboveThreshold(withConfidenceInputs); | |
| if (finalConfidenceScore === null) { | |
| return list; | |
| } | |
| const withFinalConfidenceScore = { | |
| ...withConfidenceInputs, | |
| confidence_score: Math.round(finalConfidenceScore), | |
| }; | |
| list.push(withFinalConfidenceScore as T2); | |
| return list; | |
| }, initial); | |
| }; |
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