logistic_saturation#
- pymc_marketing.mmm.transformers.logistic_saturation(x, lam=0.5)[source]#
Logistic saturation transformation.
\[f(x) = \frac{1 - e^{-\lambda x}}{1 + e^{-\lambda x}}\]The logistic saturation function reaches the half-saturation point at \(x = \frac{ln(3)}{\lambda}\). This means the half-saturation point is approximately \(1/\lambda\). If you want to set a prior on the exact half-saturation point, you can use the inverse_scaled_logistic_saturation function, available in this package.
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Source code
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)- Parameters:
- x
tensor
Input tensor.
- lam
float
or array_like, optional,by
default 0.5 Represents the efficiency of the channel. Larger values represent a more efficient channel.
- x
- Returns:
tensor
Transformed tensor.