/**
 * softmax — numerically-stable softmax over raw scores.
 *
 * Used by `skillGraph().entryByRelevance(embedder)` to turn per-entry cosine
 * similarities into a relevance distribution (the surfaced `relevance` %): the
 * shares sum to 1, so they read as "how much of the match each entry owns".
 * Internal helper — not a public export (the public surface is `relevance`).
 *
 * `temperature > 0` sharpens (<1) or flattens (>1) the distribution; default 1.
 */
export declare function softmax(scores: readonly number[], temperature?: number): number[];