Is it possible to access some kind of list of all the linear models in sklearn? They must be stored somewhere and accessible right?
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The best way is to check their documentation, which lists all their linear models on the website. This should be the first place to look because it provides in-depth explanations and examples for each model.
Alternatively, if you want to load it in Python, use the
dirfunction to list all the properties and methods oflinear_model.However, using
dirreturns more than just the different models, it returns all the properties and methods. Without more context from the docs, what's the difference betweenRidgeandridge_regression?Tldr; check the documentation on the website.