Make MMM baseclass more basic and show how to subclass and customize

[ricardoV94]

Discussed in #266

^{Originally posted by bstuddard May 2, 2023}
Is it possible to run DelayedSaturatedMMM in an unscaled way? For example, if I'm building a model the has spend dollars for various channels and sales as a target, I'd like to see each coefficient show the impact a dollar spent by channel has on sales.

Looking through the code, I believe each channel and target are scaled using sklearn MaxAbsScaler. If a channel had a max value of $5, while another had a max value of $100 - they would both be showing a 1.0 for the channel x, and resulting coefficients. I don't think this creates any mathematical issues, but makes the results a bit harder to conceptualize (ex betas in terms of individually scaled values).

Any advice on how to approach this? Perhaps something obvious I'm missing.

[ricardoV94]

Would be nice to add a doc showing how to tweak these or implement your custom one.

[ricardoV94]

Also show how to customize the saturation functions

[wd60622]

Related to #711