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When reading the Sklearn User Guide, one might see the following statement about Logistic Regression
As an optimization problem, binary class L2 penalized logistic regression minimizes the following cost function:
Similarly, L1 regularized logistic regression solves the following optimization problem
I do not understand what the first part (before the + C) on the first equation means. I understand that
w is a vector and
wt is the transposition (I think). Why is it multiplicated by 1/2 ?