I'm working on an optimization of a logistic regression model made with glm, the optimization is a lasso regression using glmnet. I want to compare both models
I could not find where the Manhattan distance of weights is calculated and multiplied with alpha (L1 reg. coefficient) in the Lasso Regression and the Quantile