@prism-lang/confidence/dist/ensemble.d.ts

Confidence extraction library for Prism - standardized patterns for extracting confidence values from LLMs and other sources

import { ConfidenceResult, EnsembleWeights } from './types';
/**
 * Ensemble methods for combining multiple confidence signals
 */
export declare class ConfidenceEnsemble {
    private weights;
    private normalizeWeights;
    constructor(options?: {
        weights?: EnsembleWeights;
        normalizeWeights?: boolean;
    });
    /**
     * Combine multiple confidence signals
     */
    combine(signals: {
        [source: string]: number | ConfidenceResult;
    }): ConfidenceResult;
    /**
     * Combine signals with custom aggregation function
     */
    combineWithFunction(signals: {
        [source: string]: number | ConfidenceResult;
    }, aggregator: (values: number[], weights: number[]) => number): ConfidenceResult;
    /**
     * Use voting-based ensemble
     */
    vote(signals: {
        [source: string]: number | ConfidenceResult;
    }, thresholds?: {
        high: number;
        medium: number;
    }): ConfidenceResult;
    /**
     * Weighted median ensemble
     */
    weightedMedian(signals: {
        [source: string]: number | ConfidenceResult;
    }): ConfidenceResult;
    /**
     * Update weights based on historical performance
     */
    updateWeights(performance: {
        [source: string]: number;
    }): void;
    private normalizeSignals;
    private getWeights;
    private normalizeWeightValues;
    private generateExplanation;
    private getWinningCategory;
}
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