Any plans to add custom loss functions?
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Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 20/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Domain
- machine-learning
Research direction
The issue names no files, tests, or entry points. Compare the Python version's custom loss-function capability with the Julia package, then define the requested API and completion criteria before implementation.
Written by the indexing model from the issue text.
Description
The python version of MXNet has the capability to define custom loss functions, but this is missing from the Julia version. Are there any plans to add it?
- Dominant language
- No language data
- Stars
- 370
- Forks
- 63
- PR merge metrics
- No merged PRs in 30d
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