inverse_scaled_logistic_saturation#
- pymc_marketing.mmm.transformers.inverse_scaled_logistic_saturation(x, lam=0.5, eps=np.float64(1.0986122886681098))[source]#
Inverse scaled logistic saturation transformation.
It offers a more intuitive alternative to logistic_saturation, allowing for lambda to be interpreted as the half saturation point when using default value for eps.
\[f(x) = \frac{1 - e^{-x*\epsilon/\lambda}}{1 + e^{-x*\epsilon/\lambda}}\](
Source code,png,hires.png,pdf)
- Parameters:
- x
tensor Input tensor.
- lam
floator array_like, optional,bydefault 0.5 Saturation parameter.
- eps
floator array_like, optional,bydefaultln(3) Scaling parameter. ln(3) results in halfway saturation at lam
- x
- Returns:
tensorTransformed tensor.