Machine Learning, Linear Regression, Ridge Regression, Lasso Regression, Genomics.
often used (like 0,001). To understand how λ works: Elastic net loss = loss + (λ * elastic_net_penalty) You can select also the parameter α which controls the ratio between l1 and l2 penalization (where α = 0 is correspondent to Ridge regression and α = 1 is correspondent to Lasso regression). With