This update mainly addresses the Sinergym callback called LoggerEvalCallback. When combined with integrated WandB functionality, it saves specific metrics about the best model obtained.
This considerably improves the information search and preprocessing, since the WandB platform does not allow to keep the summary rows in the run tables based on the maximum value of the average reward. In this way, it would be directly accessible on the platform.
Some minor updates have been included in this update, such as preventing future version errors with pandas. For more information, consult the changelog.
Types of changes
[ ] Bug fix (non-breaking change which fixes an issue)
[x] New feature (non-breaking change which adds functionality)
[ ] Breaking change (fix or feature that would cause existing functionality to change)
Description
This update mainly addresses the Sinergym callback called
LoggerEvalCallback. When combined with integrated WandB functionality, it saves specific metrics about the best model obtained.This considerably improves the information search and preprocessing, since the WandB platform does not allow to keep the summary rows in the run tables based on the maximum value of the average reward. In this way, it would be directly accessible on the platform.
Some minor updates have been included in this update, such as preventing future version errors with pandas. For more information, consult the changelog.
Types of changes
Checklist:
autopep8second level aggressive.isort.cd docs && make spelling && make htmlpass (required if documentation has been updated.)pytest tests/ -vvpass. (required).pytype -d import-error sinergym/pass. (required)Changelog: