Scaling

pydantic model pymc_marketing.mmm.scaling.Scaling

Scaling configuration for the MMM.

Examples

Data-derived scaling:

Scaling(
    target=DataDerivedScaling(method="max", dims=()),
    channel=DataDerivedScaling(method="max", dims=()),
)

Fixed scaling for stable production refreshes:

Scaling(
    target=FixedScaling(dims=(), value=50_000.0),
    channel=FixedScaling(dims=(), value=10_000.0),
)

Methods

Scaling.__init__(**data)	Create a new model by parsing and validating input data from keyword arguments.
Scaling.from_dict(data)	Reconstruct from a dict, dispatching nested VariableScaling via __type__.
Scaling.to_dict([_orig])	Serialize to a dict via Pydantic model_dump.

field channel: VariableScaling [Required]

Scaling configuration for the channel (media) variables.

field target: VariableScaling [Required]

Scaling configuration for the target (response) variable.