-
Only support OLS and Ridge regression
- Internally solves the corresponding normal equations using
mldivide - For OLS:
beta = (X.' * X) \ (X.' * y);i.e.,$$\min_\beta (X^TX)^{-1}X^Ty$$ - For Ridge regression:
beta = (X.' * X + alpha * eye(size(X, 2))) \ (X.' * y);i.e.,$$\min_\beta (X^TX + \alpha I)^{-1}X^Ty$$
- Internally solves the corresponding normal equations using
-
Does not support
clip_negative_vals,shift_intensity,verbose(yet) -
Caution: I haven't thoroughly tested the code. Feel free to try it out and let me know if the performance is equivalent to that of the official implementation.
[Fadnavis20] S. Fadnavis, J. Batson, E. Garyfallidis, Patch2Self: Denoising Diffusion MRI with Self-supervised Learning, Advances in Neural Information Processing Systems 33 (2020)