I am trying to use scikit-learn for polynomial regression. From what I read polynomial regression is a special case of linear regression. I was hopping that maybe one of scikit's generalized linear models can be parameterised to fit higher order polynomials but I see no option for doing that.
I did manage to use a Support Vector Regressor with a poly kernel. That worked well with a subset of my data, but it takes much to long to fit larger data sets so I still need to find something faster (even if trading some precision).
Am I missing something obvious here?