tidyverts / tidyverts/fabletools
Improve handling of contrasts with non-factor variables
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- Dominant language
- R
- Stars
- 98
- Forks
- 37
- PR merge metrics
- No merged PRs in 30d
Description
The separation of data between modelling and forecasting steps (or other model functions) can result in errors, or worse misalignment in contrasts.
An example that causes an error is given here: https://github.com/tidyverts/fabletools/issues/356
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 with the failing example in tidyverts/fabletools issue 356 and trace how data is separated between modelling and forecasting or other model functions. The work is complete when contrasts involving non-factor variables no longer error or become misaligned across those steps.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- r
- Domain
- data
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100