Recently i had the problem of solving a constraint lasso, much like the one described in this paper. The paper refers to a julia package, ConstrainedLasso.jl, that is unfornutely not updated since julia 0.6. With some help from the forum I gave a shot at updating it but without sucess so far.
Then I had a thought: Is there in the current Julia packages some infrastructure that could solve this kind of lasso problem ?
I found GLMNet.jl, but which does not allow linear constraints, same thing for Lasso.jl and LARS.jl, sadly.
Thanks a lot. After a quick learning of Convex.Jl (Awesome stuff Btw), i managed to add my constrained and run a constraint lasso as I wanted.
Indeed, this is quite slow to obtain the full path as I must solve it again for each regularisation parameter, and i suspect that the solver is not optimized for this kind of stuff.