Source code for pymc_marketing.mmm.scaling

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"""Scaling configuration for the MMMM."""

from typing import Literal

from pydantic import BaseModel, Field, model_validator
from typing_extensions import Self


[docs] class VariableScaling(BaseModel): """How to scale a variable. The scaling through the dimension of 'date' is assumed and doesn't need to be specified. """ method: Literal["max", "mean"] = Field(..., description="The scaling method.") dims: str | tuple[str, ...] = Field( ..., description="The dimensions to perform operation through.", ) @model_validator(mode="after") def _validate_dims(self) -> Self: if isinstance(self.dims, str): self.dims = (self.dims,) if "date" in self.dims: raise ValueError("dim of 'date' of is already assumed in the model.") if len(set(self.dims)) != len(self.dims): raise ValueError("dims must be unique.") return self
[docs] class Scaling(BaseModel): """Scaling configuration for the MMM. Examples -------- Scale the target variable by max value by group of 'DMA' .. code-block:: python from pymc_marketing.mmm.multidimensional import Scaling scaling = Scaling( **{ "target": { "method": "max", # Exclude 'DMA' from dims here. "dims": (), }, } ) """ target: VariableScaling = Field( ..., description="The scaling for the target variable.", ) channel: VariableScaling = Field( ..., description="The scaling for the channel variable.", )