NVIDIA-Merlin / NVIDIA-Merlin/Transformers4Rec
Include tests of T4R integrated with the NVTabular Data loader
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area/pytorch
area/tests
- Dominant language
- Python
- Stars
- 1.3k
- Forks
- 165
- Avg merge
- 1m
- Merged PRs (30d)
- 2
Description
Create tests that take a small parquet file and checks its integration with TabularSequenceFeatures and masking class
Contributor 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.
Research direction
Start by locating the NVTabular Data loader integration and the TabularSequenceFeatures and masking class entry points. Build the tests around a small parquet file, covering integration with those components, and confirm the test suite passes.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- data-engineering, testing
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100