make_model_adapter#

causalpy.experiments.model_adapter.make_model_adapter(model, *, default_model_class, supports_bayes, supports_ols)[source]#

Resolve, validate, and wrap a model in a backend adapter.

Parameters:

  • model (PyMCModel | RegressorMixin | None) – User-supplied model instance, or None to use the default.

  • default_model_class (type[PyMCModel] | None) – PyMC model class used when model is None.

  • supports_bayes (bool) – Whether the experiment supports Bayesian backends.

  • supports_ols (bool) – Whether the experiment supports OLS/sklearn backends.

Returns:

Backend-specific adapter wrapping the resolved model.

Return type:

ModelAdapter