/**
 * @copyright Sister Software
 * @license AGPL-3.0
 * @author Teffen Ellis, et al.
 *
 *   Accuracy cost of the #244 coarse-placer int8 quantization (milestone 3). Runs the held-out test
 *   split through the fp32 model and the int8 model (dequantized inline) and reports overall + per-
 *   class accuracy for each, the delta, prediction-agreement rate, and confidence MAE. Gate: int8
 *   within ~1pp of fp32 (the milestone target).
 *
 *   Run: `mailwoman placer eval quant-compare [--fp32 <dir>] [--int8 <dir>] [--abstain 0.5]`
 */
/**
 * Options for {@linkcode evalQuantCompare}.
 */
export interface EvalQuantCompareOptions {
    /**
     * Fp32 artifact dir. Default `$MAILWOMAN_DATA_ROOT/coarse-placer/model`.
     */
    fp32?: string;
    /**
     * Int8 artifact dir. Default `$MAILWOMAN_DATA_ROOT/coarse-placer/model-int8`.
     */
    int8?: string;
    /**
     * Abstention threshold. Default 0.5.
     */
    abstain?: number;
    /**
     * Dataset dir (`test.jsonl`). Default `<repo>/data/coarse-placer`.
     */
    data?: string;
}
/**
 * Result of {@linkcode evalQuantCompare}.
 */
export interface EvalQuantCompareResult {
    n: number;
    /**
     * Fp32 overall accuracy in percent.
     */
    accFp32: number;
    /**
     * Int8 overall accuracy in percent.
     */
    accInt8: number;
    /**
     * Whether int8 is within 1pp of fp32 (the gate).
     */
    pass: boolean;
}
/**
 * Coarse-placer int8-vs-fp32 comparison — see the module doc. Emits the report to stdout.
 */
export declare function evalQuantCompare(options?: EvalQuantCompareOptions): Promise<EvalQuantCompareResult>;
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