Users parameter for cross-validate
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 38/100
- Issue type
- Feature
- Clarity
- Mostly clear
- Activity status
- Stale
- Tech stack
- python
- Domain
- machine-learning
Research direction
Start by locating the cross-validate entry point and reading how it selects users and runs experiments. The issue asks for a users parameter accepting external user IDs; define completion as all experiments running only on that subset. No file or test is named, and the issue has had no recent activity.
Written by the indexing model from the issue text.
Description
Feature Description
users parameter in cross-validate will accept the list of external user ids to run all experiments only on these users.
Why this feature?
This will help to solve a common task to calculate metrics only on specific subset of users
Additional context
No response
- Dominant language
- Python
- Stars
- 457
- Forks
- 55
- PR merge metrics
- No merged PRs in 30d
Getting set up
- No Dockerfile or Docker Compose file
- Has a pull request template
- Read the contributing 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.
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