tidyverts / tidyverts/fabletools
Consistent hyper-parameter selection interface for model formula
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- Dominant language
- R
- Stars
- 98
- Forks
- 37
- PR merge metrics
- No merged PRs in 30d
Description
If model selection is to be abstracted out of the model training procedure, there needs to be a way to enumerate the candidate models. A potential approach is parsing ?, for example:
ARIMA(y ~ pdq(p = ?0:5, d = ?0:2, q = ?0:5)) and ETS(y ~ error(?c("N", "A", "M")).
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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 the model formula interface and the candidate expressions shown in the issue, including the ARIMA and ETS examples. Determine how model candidates should be enumerated when selection is separated from training, and define what a consistent interface would need to support.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- r
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100