weibull_adstock

pymc_marketing.mmm.transformers.weibull_adstock(x, lam=1, k=1, l_max=12, axis=0, type=WeibullType.PDF)

Weibull Adstocking Transformation.

This transformation is similar to geometric adstock transformation but has more degrees of freedom, adding more flexibility.

(Source code, png, hires.png, pdf)

Parameters:

• x (tensor) – Input tensor.

• lam (float, by default 1.) – Scale parameter of the Weibull distribution. Must be positive.

• k (float, by default 1.) – Shape parameter of the Weibull distribution. Must be positive.

• l_max (int, by default 12) – Maximum duration of carryover effect.

• type (WeibullType or str, by default WeibullType.PDF) – Type of Weibull adstock transformation to be applied (PDF or CDF).

Returns:

Transformed tensor based on Weibull adstock transformation.

Return type:

tensor