NVIDIA-Merlin / NVIDIA-Merlin/Merlin
[QST]In batch sampler
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question
- Dominant language
- Python
- Stars
- 907
- Forks
- 129
- PR merge metrics
- No merged PRs in 30d
Description
❓ Questions & Help
Details
This InBatchSampler pram is only applicable to TwoTowerModel but not for the DLRM model right? For DLRM I need to feed both positive and negative samples for training and validate, is that correct?
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Research direction
The issue names InBatchSampler, TwoTowerModel, and DLRM but does not identify files or tests. Start by locating those components and compare how positive and negative samples are handled during training and validation; done means providing a clear, verified answer about the sampler's applicability and required DLRM inputs.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100