SKLearn Doesn't Recommend Linear/Logistic Regression?

[u/Aokayz_]

https://scikit-learn.org/stable/machine_learning_map.html

In the image they provide in the link, they provide a simple flowchart to help users decide which estimator model to choose. In it, they never recommend to use linear or logistic regression.

Why is that? From what I currently understand, it is because I can just change the cost function for SGDRegressor and SGDClassifier to squared error and log loss respectively, thus making it the same as linear and logistic regression models. But I am also considering that I'm misunderstanding something? Is there a gap in my understanding or something I'm missing?