so, in sklearn, are there any serious differences between Logistic Regression (with l1 penalty) and Lasso Regression besides "oh hey we can do the same thing with a different training algo"?
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i shouldnt actually answer this question because the real answer is "i dont trust sklearn" but seems like this should just be the usual difference between logistic and LPM but lasso but i also havent thought about this much so you should really really not trust me
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i think you're right -- im just so used to link functions it didn't occur to me that it might it might just be straight-up linear (logistic+l2 vs. RidgeClassifier in particular confused me) why don't you trust sklearn?
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