Will Dean

MMM mixins as single sklearn transformer

2

The sklearn transformers that require state (MaxAbsScaler and StandardScaler) are currently part of the mixins which make it a bit difficult to support new data. So the mixins will have...

Pull out fourier transformation from MMM method

3

Pulling out fourier transformation from the MMM methods would be very convenient and reduce the dependency with that class. I think the logic can be isolated, making it very easy...

This [link](https://github.com/pymc-labs/pymc-marketing/blob/61da9c05721a70cd80e41dd68a7772622ca23cac/CONTRIBUTING.md?plain=1#L172) has moved Related to #211

Handle recent pymc deprecation warnings

1

MutableData -> Data coords_mutable -> coords Should a minimal version of PyMC be pinned?

Global installation

1

Would you recommend for or against global installation? i.e. pipx

x_total = sum(x) x2_total = sum(x**2) n = len(x) etc

https://en.wikipedia.org/wiki/Normal-Wishart_distribution

helper to plot this distribution potential use the `contour` or `contourf` from matplotlib

These aren't vectorized in scipy