[Feature request] NDCG metric for model evaluation
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Description
I believe NDCG@k is usually better metric to evaluate a recommendation system. Can we add the NDCG@k metric for model evaluation? Or is there an easy way to calculate the metric based on variables in the model class? Thanks a lot!
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First steps
- Read the whole issue, then the project's contributing guide.
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Research direction
No file, test, or entry point is identified in the issue. Locate the model class and existing evaluation metrics first, then determine which variables support NDCG@k and how the metric should be exposed; done means the metric is available for recommendation-model evaluation with coverage for its expected inputs.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100