@thecodingwhale/cv-processor/dist/utils/AccuracyScorer.d.ts

CV Processor to extract structured data from PDF resumes using TypeScript

/**
 * AccuracyScorer - Evaluates the accuracy of extracted CV data
 *
 * This utility helps measure how well the AI extraction performed by:
 * - Checking structural validity (schema compliance)
 * - Measuring field completeness
 * - Validating category/type assignments
 * - Calculating an overall accuracy score
 */
interface AccuracyResult {
    overall: number;
    categoryAssignment: number;
    completeness: number;
    structuralValidity: number;
    missingFields: string[];
}
export declare class AccuracyScorer {
    /**
     * Evaluate the accuracy of CV data extraction
     */
    static evaluateAccuracy(cvData: any): AccuracyResult;
    /**
     * Check the structural validity of the CV data
     * Returns a score from 0-100
     */
    private static checkStructuralValidity;
    /**
     * Check if a credit object has the expected structure
     */
    private static isValidCredit;
    /**
     * Check how well categories are assigned based on official categories
     * Returns a score from 0-100
     */
    private static checkCategoryAssignment;
    /**
     * Check if a category string is valid by comparing to official categories
     * Uses partial matching to handle variations
     */
    private static isValidCategoryName;
    /**
     * Check completeness of fields in the CV data
     * Returns a score from 0-100 and a list of missing fields
     */
    private static checkCompleteness;
    /**
     * Calculate the overall accuracy score from component scores
     */
    private static calculateOverallScore;
}
export {};