delayed_adstock#
- pymc_marketing.mmm.transformers.delayed_adstock(x, alpha=0.0, theta=0, l_max=12, normalize=False, axis=0)[source]#
Delayed adstock transformation.
This transformation is similar to geometric adstock transformation, but it allows for a delayed peak of the effect. The peak is assumed to occur at
theta.(
Source code,png,hires.png,pdf)
- Parameters:
x (tensor) – Input tensor.
alpha (float, by default 0.0) – Retention rate of ad effect. Must be between 0 and 1.
theta (float, by default 0) – Delay of the peak effect. Must be between 0 and
l_max- 1.l_max (int, by default 12) – Maximum duration of carryover effect.
normalize (bool, by default False) – Whether to normalize the weights.
- Returns:
Transformed tensor.
- Return type:
tensor
References
