EvaluationConfig#

class openstef_beam.evaluation.EvaluationConfig(**data: Any) → None[source]#

Bases: BaseConfig

Configuration for the evaluation pipeline.

Controls how predictions are filtered, grouped, and analyzed across different time dimensions.

Parameters:: data (Any)

available_ats: list[AvailableAt]#

lead_times: list[LeadTime]#

windows: list[Window]#

model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': False, 'extra': 'ignore', 'protected_namespaces': ()}#: Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].