tensorflow / tensorflow/probability
Item response theory model example/tutorial
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good first issue
- Dominant language
- Jupyter Notebook
- Stars
- 4.4k
- Forks
- 1.1k
- PR merge metrics
- No merged PRs in 30d
Description
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 reviewing the linked Edward examples, examples/irt.py and examples/rasch_model.py, and compare their approach with the current TensorFlow Probability documentation and examples. Clarify the intended tutorial scope and location with maintainers; done means an item response theory model example or tutorial is added with a clear, reproducible presentation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- tensorflow
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100