I understand that cluster expansion typically uses a regularized linear model. I was wondering if CELL would work with non linear models from sklearn, say for example kernel ridge? By extension, would it also work with the MCMC simulations in the library?
Thanks in advanced!
I understand that cluster expansion typically uses a regularized linear model. I was wondering if CELL would work with non linear models from sklearn, say for example kernel ridge? By extension, would it also work with the MCMC simulations in the library?
Thanks in advanced!