MedianForecasterHyperParams#

class openstef_models.models.forecasting.median_forecaster.MedianForecasterHyperParams(**data: Any) → None[source]

Bases: HyperParams

Hyperparameter configuration for median forecaster.

Parameters:

data (Any)

primary_lag: timedelta
fallback_lag: timedelta
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].

model_post_init(context: Any, /) → None

This function is meant to behave like a BaseModel method to initialise private attributes.

It takes context as an argument since that’s what pydantic-core passes when calling it.

Parameters:

  • self (BaseModel) – The BaseModel instance.

  • context (Any) – The context.

  • self

  • context

Return type:

None