some way of calibrating the model to data
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 15/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- r
- Domain
- machine-learning
Research direction
The issue does not identify any files, tests, or entry points. First, read the model and data workflow to understand what calibration would mean here; done cannot be determined from the issue text and needs a concrete scope and success criteria.
Written by the indexing model from the issue text.
Description
would be nice!
- Dominant language
- R
- Stars
- 8
- Forks
- 4
- PR merge metrics
- No merged PRs in 30d
Getting set up
This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.
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.
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