shenweichen / shenweichen/DeepCTR-Torch
SparseFeat什么时候能支持user_hash
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 3.5k
- Forks
- 733
- PR merge metrics
- No merged PRs in 30d
Description
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Additional context
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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
Start by locating the SparseFeat entry point and any existing handling of user_hash in the Python package. Clarify the expected user_hash behavior and its interaction with sparse features before identifying relevant tests. Done should mean the requested support is implemented and covered by tests, but the issue provides no concrete acceptance criteria.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100