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 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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oh i just dont trust anything ive had issues with their linear regression function in the past, like a billion years ago i dont even remember what they were it may not even have been sklearn tbh
End of conversation
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