DeferredFactory

pydantic model pymc_marketing.serialization.DeferredFactory

Serializable recipe for creating objects with non-serializable state.

Instead of storing a live object (e.g., a Prior with PyTensor tensor parameters), store the factory function path and its scalar arguments. Call resolve() at build_model() time to create the actual object.

Methods

DeferredFactory.__init__(**data)	Create a new model by parsing and validating input data from keyword arguments.
DeferredFactory.from_dict(data)	Reconstruct a DeferredFactory from a dict.
DeferredFactory.resolve()	Import the factory function and call it with kwargs.
DeferredFactory.to_dict()	Serialize the deferred factory to a dict.

field factory: str [Required]

Fully-qualified dotted path to the factory function

field kwargs: dict[str, Any] [Optional]

Scalar keyword arguments for the factory