BacktestConfig

class openstef_beam.backtesting.backtest_pipeline.BacktestConfig(**data: Any) → None

Bases: BaseConfig

Configuration for backtesting energy forecasting models.

Parameters:

data (Any)

prediction_sample_interval: timedelta

predict_interval: timedelta

train_interval: timedelta

align_time: time

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].