Model ouput logging
Open
Nobody has claimed this yet.
enhancement
good first issue
- Dominant language
- Python
- Stars
- 3
- Forks
- 0
- PR merge metrics
- No merged PRs in 30d
Description
write a utility in utils.py to log the weights, plots, model_history, weights to a folder for every run.
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 by reading utils.py and the existing model-training entry points to understand how runs, weights, plots, and model history are represented. Implement the requested utility so each run writes those artifacts to a folder, then verify that a training run produces the expected files.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100