Open maedoc opened 1 year ago
Sparse regression is a clear improvement for interpretability of embedding techniques, so adding the Lasso
ridge regression
or maybe just the elastic net 🐟
(from https://cims.nyu.edu/~cfgranda/pages/OBDA_spring16/material/sparse_regression.pdf) anyway of controlling the number of non zero weights is helpful.
These penalties could be applied to the MLP flows as well.
Sparse regression is a clear improvement for interpretability of embedding techniques, so adding the Lasso
ridge regression
or maybe just the elastic net 🐟
(from https://cims.nyu.edu/~cfgranda/pages/OBDA_spring16/material/sparse_regression.pdf) anyway of controlling the number of non zero weights is helpful.