Evaluation should check if data dimension is compatible with model
Open
bug
- Dominant language
- Python
- Stars
- 17
- Forks
- 12
- PR merge metrics
- No merged PRs in 30d
Description
It doesn't have be the same, as long as it is compatible with depth.
Contributor guide
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Research direction
The issue names no files, tests, or entry points. First locate the evaluation path and inspect how depth and data dimensions are represented, then clarify what “compatible” means before changing behavior. Done should mean evaluation consistently checks the defined compatibility rule, with coverage for compatible and incompatible dimensions.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100