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11 changes: 3 additions & 8 deletions src/kb-improvement/evaluation.ts
Original file line number Diff line number Diff line change
Expand Up @@ -16,6 +16,7 @@ import {
runRagKnowledgeImprovementLoop,
} from '../rag-improvement-loop'
import { readinessFor } from '../readiness-helpers'
import { mean } from '../statistics'
import { type ValidateKnowledgeResult, validateKnowledgeIndex } from '../validate'
import type {
KnowledgeImprovementCandidateRecord,
Expand Down Expand Up @@ -497,7 +498,7 @@ function defaultKnowledgeImprovementMetric(
const blockingReadiness =
blockingTotal === 0 ? 1 : Math.max(0, blockingTotal - blockingMissing) / blockingTotal
const answerQuality = lifecycle?.answerQuality
? average(Object.values(lifecycle.answerQuality.metrics).filter(Number.isFinite))
? mean(Object.values(lifecycle.answerQuality.metrics))
: 1
const promotionDecision = lifecycle?.promotion ? (lifecycle.promotion.promoted ? 1 : 0) : 1
const dimensions = {
Expand All @@ -515,7 +516,7 @@ function defaultKnowledgeImprovementMetric(
: `${blockingMissing}/${blockingTotal} blocking knowledge requirements still missing`,
].filter((reason): reason is string => Boolean(reason))
return {
score: average(Object.values(dimensions)),
score: mean(Object.values(dimensions)),
passed: failedReasons.length === 0,
dimensions,
notes:
Expand Down Expand Up @@ -556,9 +557,3 @@ function applyLifecycleFailures(
function normalizeMetric(metric: KnowledgeImprovementMetric): KnowledgeImprovementMetric {
return improvementMetricSchema.parse(metric)
}

function average(values: readonly number[]): number {
const finite = values.filter(Number.isFinite)
if (finite.length === 0) return 0
return finite.reduce((sum, value) => sum + value, 0) / finite.length
}
8 changes: 2 additions & 6 deletions src/rag-eval/answer.ts
Original file line number Diff line number Diff line change
@@ -1,4 +1,5 @@
import { groundClaimInText } from '../claim-grounding'
import { mean } from '../statistics'
import type {
RagAnswerEvalArtifact,
RagAnswerEvalScenario,
Expand Down Expand Up @@ -146,7 +147,7 @@ export function scoreAnswerCorrectness(
const expectedScore =
expected.length === 0
? scoreAnswerRelevance(artifact, scenario, abstained)
: average(expected.map((claim) => textSupportScore(claim, artifact.answer)))
: mean(expected.map((claim) => textSupportScore(claim, artifact.answer)))
const forbiddenPenalty =
forbidden.length === 0
? 0
Expand Down Expand Up @@ -210,11 +211,6 @@ export function neutralScore(condition: boolean): number {
return condition ? 1 : 0
}

export function average(values: readonly number[]): number {
const finite = values.filter(Number.isFinite)
return finite.length === 0 ? 0 : finite.reduce((sum, value) => sum + value, 0) / finite.length
}

export function clamp01(value: number): number {
if (!Number.isFinite(value)) return 0
return Math.max(0, Math.min(1, value))
Expand Down
8 changes: 4 additions & 4 deletions src/rag-eval/scoring.ts
Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
import type { JudgeConfig } from '@tangle-network/agent-eval/campaign'
import type { RagGapFinding } from '../rag-improvement-loop'
import { mean } from '../statistics'
import {
average,
claimSupport,
clamp01,
contextIsRelevant,
Expand Down Expand Up @@ -103,7 +103,7 @@ export function scoreRagAnswerArtifact(
? scenario.unanswerable
? 1
: 0
: average(artifact.contexts.map((context) => contextRelevanceScore(context, scenario)))
: mean(artifact.contexts.map((context) => contextRelevanceScore(context, scenario)))
const contextSufficiency = requiredContextCount === 0 ? contextRelevance : contextRecall
const support = claims.map((claim) => claimSupport(claim.text, artifact.contexts, options))
const supportedClaimCount = support.filter(Boolean).length
Expand Down Expand Up @@ -241,9 +241,9 @@ export function aggregateRagAnswerMetrics(
}
const out: Record<string, number> = {}
for (const key of [...keys].sort()) {
out[key] = average(summaries.map((summary) => summary.metrics[key]))
out[key] = mean(summaries.map((summary) => summary.metrics[key]))
}
out.composite = average(summaries.map((summary) => summary.composite))
out.composite = mean(summaries.map((summary) => summary.composite))
return out
}

Expand Down