EvalConfig#
- class langchain.smith.evaluation.config.EvalConfig[source]#
Bases:
BaseModel
Configuration for a given run evaluator.
- Parameters:
evaluator_type (EvaluatorType) – The type of evaluator to use.
- get_kwargs()[source]#
Get the keyword arguments for the evaluator configuration.
- Return type:
Dict[str, Any]
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
- param evaluator_type: EvaluatorType [Required]#