Warm/cold/hot scenarios for cross-validation and splitters
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 20/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- python
- Domain
- machine-learning
Research direction
The issue does not name files, tests, or an entry point. Start by reading the validation pipeline and cross-validation and splitter APIs to find where warm, cold, and hot scenarios would fit. The issue gives no acceptance criteria, so the expected behavior and definition of done need clarification.
Written by the indexing model from the issue text.
Description
Feature Description
Support for different scenarios in our validation pipelines
Why this feature?
Real world challenge
Additional context
No response
- Dominant language
- Python
- Stars
- 457
- Forks
- 55
- PR merge metrics
- No merged PRs in 30d
Getting set up
- No Dockerfile or Docker Compose file
- Has a pull request template
- Read the contributing guide
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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