adaptation to callbacks
Open
Nobody has claimed this yet.
enhancement
- Dominant language
- Python
- Stars
- 159
- Forks
- 27
- PR merge metrics
- No merged PRs in 30d
Description
Description of feature
we need additional args for the callbacks:
- the model itself, in case someone wants to make other predictions or whatever
- the loss
Contributor 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.
Research direction
The issue names no files, tests, or entry points. Start by locating the callback definitions and their callers, then determine how the model and loss are represented there. Done means callbacks receive both the model itself and the loss as additional arguments, with the existing callback behavior preserved.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100