The choices to classify the example into. e.g. { "correct": 1, "incorrect": 0 }
OptionalinputThe mapping of the input to evaluate to the shape that the evaluator expects
The name of the metric that the evaluator produces E.x. "correctness"
OptionaloptimizationIf present, represents the direction in which you want the metric to be optimized E.x. "MAXIMIZE" means you want the number to be higher.
The prompt template to use for classification
Optionaltelemetry
The arguments for creating a classification-based evaluator