Closed davkovacs closed 2 years ago
Yeah so if you look at the old solvers there are several different elastic net solvers, but I don't know which one we particularly liked. We just go to a simple: alpha L_1 + (1-alpha) L2 elastic net solve? Which we can then use the preconditioning on or not.
Yes, there was an elastic net followed by an lsqr, so I think it would be great to have that, and we can use the preconditioner before. It has alpha
parameter of the GLMNet, and lsqr_damp
, lsqr_atol
for the LSQR solver.
It would be good to keep that
But should the LSQR post pork easing be done by the user or done internally?
I think this should be a single solver that sparsifies using elastic net (basis selection step) and solves the smaller system using LSQR. It is how it was previously and it worked well.
I'm seeing this issue for the first time. If it's still important to anyone, would you mind opening an issue at ACEfit?
I think I'll do that if I need this option. But I don't think it is particularly important now.
I just realized that I was using the elastic net followed by an lsqr solver in one of my projects. Perhaps it would be good to keep that option if someone wants to sparsify but without the Bayesian ARD.
@casv2 what do you think?