@arizeai/phoenix-evals/dist/esm/code/createClassificationMetricEvaluator.js

A library for running evaluations for AI use cases

import { createEvaluator } from "../helpers/createEvaluator.js";
import { computePrecisionRecallFScore, } from "./classificationMetrics.js";
/**
 * Internal factory shared by `createPrecisionEvaluator`, `createRecallEvaluator`,
 * and `createFBetaEvaluator` — each is a thin wrapper that only differs in
 * which result field it reads and how its metric name is built.
 */
export function createClassificationMetricEvaluator(name, field, options, compute = computePrecisionRecallFScore) {
    return createEvaluator(
    // Pass `example` through by reference (rather than destructuring and
    // rebuilding a new object) so callers that share one computed result by
    // caching on object identity (e.g. `createPrecisionRecallFScoreEvaluators`)
    // actually get a cache hit.
    (example) => {
        const result = compute(example, options);
        return { score: result[field] };
    }, {
        name,
        kind: "CODE",
        optimizationDirection: "MAXIMIZE",
    });
}
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