3 ms·
Non-linear models often perform better. You’re never going to approach anything like GPT with a linear model.
by mr_toad 4y ago
Non-linear models often perform better. You’re never going to approach anything like GPT with a linear model.
- witnesser2 4y agoI don't think mentioning non-linearality means you can bypass the singularities you may cause typically CUSP, buckling etc and omit the analysis intentionally or negeliccantly.
- rcme 4y agoTheoretically you could use a polynomial model which, while not linear, is pretty high on the explainability scale.