Custom optimisation criterion functions
Open
Nobody has claimed this yet.
enhancement
- Dominant language
- R
- Stars
- 588
- Forks
- 71
- Avg merge
- 1h 58m
- Merged PRs (30d)
- 1
Description
Where possible, models should allow custom optimisation criterions. This is appropriate as a control parameter for models.
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 reviewing how fable models expose control parameters and compare the requested behavior with the linked forecast issue (https://github.com/robjhyndman/forecast/issues/744). Define which models and optimisation criteria are in scope, then confirm that custom criteria can be supplied consistently and are covered by appropriate tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- r
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100