Statistics, Data Science, Analytics, Business Intelligence, Machine Learning.
different formulations. Although the end results are equivalent, the parameters are defined differently (C or λ). I will stick with R’s glmnet documentation. GLM minimizes deviance. Regularized GLM minimizes deviance (multiplied by a constant that I’ll wave away) + a penalty term: lasso adds the L1