Function createFBetaEvaluator

createFBetaEvaluator<
RecordType extends ClassificationExample = ClassificationExample,
>(
options?: PrecisionRecallFScoreOptions,
): EvaluatorBase<RecordType>
Creates a code evaluator that computes the F-beta score: the weighted harmonic mean of precision and recall, where beta controls how much more weight recall gets relative to precision (beta = 1 is the standard F1 score).

Supports binary classification (via positiveLabel, or auto-detected when average is at its default "macro" and labels are the numeric set {0, 1}) and multi-class classification (via the average strategy).
Type Parameters
- RecordType extends ClassificationExample = ClassificationExample
Parameters
- options: PrecisionRecallFScoreOptions = {}
Returns EvaluatorBase<RecordType>
Example
```
const f2 = createFBetaEvaluator({ beta: 2 });
const result = await f2.evaluate({
  expected: ["cat", "dog", "cat", "bird"],
  output: ["cat", "cat", "cat", "bird"],
});
```
- Defined in code/createFBetaEvaluator.ts:31