@arizeai/phoenix-evals/dist/src/code/createF1Evaluator.js

A library for running evaluations for AI use cases

"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
exports.createF1Evaluator = createF1Evaluator;
const createFBetaEvaluator_1 = require("./createFBetaEvaluator");
/**
 * Creates a code evaluator that computes the F1 score: the harmonic mean of
 * precision and recall.
 *
 * Supports binary classification (via `positiveLabel`, or auto-detected when
 * labels are the numeric set `{0, 1}`) and multi-class classification (via
 * the `average` strategy).
 *
 * @example
 * ```typescript
 * const f1 = createF1Evaluator();
 * const result = await f1.evaluate({
 *   expected: ["cat", "dog", "cat", "bird"],
 *   output: ["cat", "cat", "cat", "bird"],
 * });
 * // { score: 0.6 }
 * ```
 */
function createF1Evaluator(options = {}) {
    return (0, createFBetaEvaluator_1.createFBetaEvaluator)(Object.assign(Object.assign({}, options), { beta: 1 }));
}
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