We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
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
If I have soft constraints, this library gives me multiple results and also does not return the penalty for the different optimizations.
I saw yield_stats but it's not passed through from clyngor.solve.
yield_stats
clyngor.solve
The text was updated successfully, but these errors were encountered:
I just updated clyngor to 0.1.0, that now handle access to stats and optimizations.
solver = clyngor.solve(...) solver.stats # it's a dict for answer, opt in solver.with_optimization: # opt is the optimization score
Note that the stats are copy pasted raw into a dict, without any consideration for the eventual doublons or hierarchy.
Sorry, something went wrong.
In case you update : the optimization score is now a list of integers, enable support of multiple optimization scores.
No branches or pull requests
If I have soft constraints, this library gives me multiple results and also does not return the penalty for the different optimizations.
I saw
yield_stats
but it's not passed through fromclyngor.solve
.The text was updated successfully, but these errors were encountered: