[added feature] regularization term for inv(xtx) calculation #63
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Thank you @heale04, it's very useful to have ridge regularization for the inverse! |
kristian-georgiev
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Jan 17, 2024
* fix finalize features floods CPU memory: remove log and load mapped gradients to device (#59) * torch load gradients to device instead of CPU during finalize loading data directly on device instead of moving from CPU to GPU in score computation steps * Remove logging of raw tensors * Remove dependency of proj_matrix during scoring (#61) finalize feature deletes the proj_matrix, but basic projector assumes it exists. remove dependency. * fix grads type check in iterative gradient computers Co-authored-by: TheaperDeng <junweid2.illinois.edu> * [added feature] regularization term for inv(xtx) calculation (#63) * Updated score_computers.py for lambda_reg * Updated traker.py to include a lambda_reg term in arguments * minor fixes --------- Co-authored-by: Junwei Deng < [email protected]> Co-authored-by: Jiadong Guo <[email protected]> Co-authored-by: heale04 <[email protected]>
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added a regularization term argument for traker that alters the calculation of inv(xtx) for when it is not invertible.