Add easy distributional evaluation for LensKit
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evaluation
- Dominant language
- Python
- Stars
- 314
- Forks
- 77
- Avg merge
- 4d 6m
- Merged PRs (30d)
- 10
Description
We should provide code to make it easy to do a distributional evaluation of a recommender system with LensKit.
Contributor guide
No contributing guide indexed for this repository
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
No files, tests, or entry points are named. Start by locating LensKit's existing evaluation APIs and reviewing the linked distributional-evaluation paper. Done means LensKit provides an easy, documented way to perform distributional evaluation of a recommender system.
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
- 25/100