Use a fixed weighting for position correction regularization.
Approach
Since our estimation of the affine position matrix is already robust to outliers, we don't need to re-estimate which positions are outliers when applying regularization. So we just choose a 1:9 fixed ratio of position update from the individual position and the global position change.
Pre-Merge Checklists
Submitter
[ ] Write a helpfully descriptive pull request title.
[ ] Organize changes into logically grouped commits with descriptive commit messages.
[ ] Document all new functions.
[ ] Click 'details' on the readthedocs check to view the updated docs.
[ ] Write tests for new functions or explain why they are not needed.
[ ] Address any complaints from pep8speaks.
Reviewer
[ ] Actually read all of the code.
[ ] Run the new code yourself; the included tests should make this easy.
[ ] Write a summary of the changes as you understand them.
Purpose
Use a fixed weighting for position correction regularization.
Approach
Since our estimation of the affine position matrix is already robust to outliers, we don't need to re-estimate which positions are outliers when applying regularization. So we just choose a 1:9 fixed ratio of position update from the individual position and the global position change.
Pre-Merge Checklists
Submitter
Reviewer