pairwise · fit, so a fitted coefficient vector w scores a candidate by utility

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This relation defines fit, so a fitted coefficient vector w scores a candidate by utility in the source section “pairwise · fit, so a fitted coefficient vector w scores a candidate by utility”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and conditions; this record does not assign an unprovided physical or cognitive meaning to them.

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The recovered passage does not supply a separate symbol table. Read the source context for the notation used in this version; familiar letters may carry different meanings in other builds.

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1. Read fit, so a fitted coefficient vector w scores a candidate by utility as the quantity being defined or updated by this relation.

2. Substitute the source-defined variables or recorded values and follow the displayed arithmetic and indexing exactly.

3. Use this version’s variable definitions and update order. The same symbol may be assigned a different meaning in another build.

Assumptions & limits

• This source expression was recovered from the pinned code revision. Its presence does not establish that the associated program was built, run, or scientifically validated.

Original context

type RankGroup struct {
	Items []RankItem
}

// PairwiseDataset turns decided ranking groups into a SYMMETRIC pairwise logistic training set: for every
// approved a and rejected b in the same group it emits both (features_a minus features_b, label 1) and
// (features_b minus features_a, label 0). The symmetric pair forces a zero intercept and a direction invariant
// fit, so a fitted coefficient vector w scores a candidate by utility = w . features and the display order is
// that utility descending. A group with no approved or no rejected member contributes no pair (a unanimous
// slate carries no ordering signal). Pure, no DB.
func PairwiseDataset(groups []RankGroup) (x [][]float64, y []int) {
	for _, g := range groups {
		var approved, rejected []RankItem
		for _, it := range g.Items {
			if it.Approved {
				approved = append(approved, it)
			} else {
				rejected = append(rejected, it)

fit, so a fitted coefficient vector w scores a candidate by utility = w . features and the display order is

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