Skip to content

Conversation

@fjwillemsen
Copy link
Collaborator

This pull request adds globalized hyperparameter tuning via the autotuning methodology package. This allows for hyperparameter tuning to be conducted over a benchmark set of searchspaces using the autotuning methodology performance quantification.

…also added parsing of restriction strings to functions for major performance improvement
…er tuning metric, improvements to the BO GPyTorch lean implementation
… for on-the-fly restriction-checking algorithms
…rediction and evaluation into account to be more efficient
@sonarqubecloud
Copy link

@sonarqubecloud
Copy link

@fjwillemsen fjwillemsen force-pushed the hyperparametertuning branch from 6e61fd6 to 1a4c439 Compare July 11, 2025 16:50
@sonarqubecloud
Copy link

@benvanwerkhoven benvanwerkhoven merged commit 04baf7d into master Sep 3, 2025
4 checks passed
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

dependencies Pull requests that update a dependency file enhancement

Projects

None yet

Development

Successfully merging this pull request may close these issues.

3 participants