Do I need to provide item/user features for predict() if I've already include the features in fit()?
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- Python
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Description
Do I need to provide item/user features for predict() if I've already included the features in fit()? If not, when do I need to assign item/user features in predict()?
Thanks!
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Research direction
Start by reading the fit() and predict() API documentation and any examples covering item or user features. Determine whether predict() requires those features after fit(), and document when they must be supplied so the usage guidance answers both questions.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100