Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Generalize diamond distance wildcard models #273

Open
coreyostrove opened this issue Nov 11, 2022 · 1 comment
Open

Generalize diamond distance wildcard models #273

coreyostrove opened this issue Nov 11, 2022 · 1 comment
Assignees
Labels
enhancement Request for a new feature or a change to an existing feature
Milestone

Comments

@coreyostrove
Copy link
Contributor

There is a new feature being develop that adds support for wildcard models where the weighting is based on the diamond distance between the target operations and the estimated ones. There is no reason this couldn't be generalized to other error metrics, so this feature would add support for some number of additional error metrics beyond diamond distance. It is also the case that cvxpy is sometimes unavailable on certain systems, so this would all use of this technique in those cases as well.

@coreyostrove coreyostrove added the enhancement Request for a new feature or a change to an existing feature label Nov 11, 2022
@coreyostrove coreyostrove self-assigned this Nov 11, 2022
@sserita
Copy link
Contributor

sserita commented Nov 18, 2022

The final commits of PR #267 laid the groundwork for this, although additional options have not yet been implemented.

@sserita sserita added this to the 0.9.14+ milestone Nov 29, 2023
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
enhancement Request for a new feature or a change to an existing feature
Projects
None yet
Development

No branches or pull requests

2 participants