Automatic hyperparameter tuning
Open
- Dominant language
- Python
- Stars
- 133
- Forks
- 54
- PR merge metrics
- No merged PRs in 30d
Description
Maybe worthwhile to add in high level commands to enable hyper-parameter tuning
At the very least, provide a tutorial on how to do this.
https://github.com/fmfn/BayesianOptimization
Contributor guide
No contributing guide indexed for this repository
Research direction
Start by reviewing the project's high-level commands and the linked BayesianOptimization project to determine whether command support or a tutorial is intended. Define the chosen scope and how hyperparameter-tuning usage will be demonstrated before implementation; the issue does not name files or tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100