comparisons on full - Githubissues

facebookresearch / nevergrad

A Python toolbox for performing gradient-free optimization

https://facebookresearch.github.io/nevergrad/

MIT License

3.92k stars 352 forks source link

comparisons on full #1449

Closed teytaud closed 2 years ago

teytaud commented 2 years ago

We prefer to compare on complete experimental results only.

Types of changes

[ ] Docs change / refactoring / dependency upgrade
[ ] Bug fix (non-breaking change which fixes an issue)
[ ] New feature (non-breaking change which adds functionality)
[ ] Breaking change (fix or feature that would cause existing functionality to change)

Motivation and Context / Related issue

How Has This Been Tested (if it applies)

Checklist

[x] The documentation is up-to-date with the changes I made.
[x] I have read the CONTRIBUTING document and completed the CLA (see CLA).
[x] All tests passed, and additional code has been covered with new tests.