Allow optional hyperparameters in tuning
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tuning
- Dominant language
- Python
- Stars
- 314
- Forks
- 77
- Avg merge
- 4d 6m
- Merged PRs (30d)
- 10
Description
Hyperparameters should be able to be “optional”, in which case the tuner will try None in addition to configured values. We might want to make the optional probability configurable.
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by locating the tuner’s handling of configured hyperparameter values and determine how an optional value should be represented. Define how trials include None and how optional probability is configured, then verify that tuning covers both configured values and None according to the chosen behavior.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Active
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100