Summary
It appears like the LLPR regularization is not working as intended.
The intended behaviour should be that a small regularization term that makes the matrix invertible is added to the covariance matrix of the last layer features F^T.F.
I find having to manually set the regularization strengths via a grid search, otherwise I obain an invertability error.
_LinAlgError: linalg.cholesky: The factorization could not be completed because the input is not positive-definite (the leading minor of order 43 is not positive-definite).
Expected behavior
LLPR wrapper exports an LLPR enabled model.
Actual behavior
_LinAlgError: linalg.cholesky: The factorization could not be completed because the input is not positive-definite (the leading minor of order 43 is not positive-definite).
Version
2026.2.1
Steps to reproduce
No response
Further information, files, and links
No response
Summary
It appears like the LLPR regularization is not working as intended.
The intended behaviour should be that a small regularization term that makes the matrix invertible is added to the covariance matrix of the last layer features F^T.F.
I find having to manually set the regularization strengths via a grid search, otherwise I obain an invertability error.
_LinAlgError: linalg.cholesky: The factorization could not be completed because the input is not positive-definite (the leading minor of order 43 is not positive-definite).Expected behavior
LLPR wrapper exports an LLPR enabled model.
Actual behavior
_LinAlgError: linalg.cholesky: The factorization could not be completed because the input is not positive-definite (the leading minor of order 43 is not positive-definite).Version
2026.2.1
Steps to reproduce
No response
Further information, files, and links
No response