tensorflow / tensorflow/probability
Very unclear about what psychometrics does it returns
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Description
Does this return latent ability, latent discrimination, latent difficulty or guessing probability.
It should seem clear while it is tough to figure out where it caries out simulation or derives the above mentioned parametrics which are vital to be used in Computerized Adaptive Systems.
When using the tfp experimental item response theory function
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 TFP experimental item response theory function mentioned in the issue and read its existing documentation and return-value definitions. Clarify whether it returns latent ability, discrimination, difficulty, or guessing probability, and identify where any simulation or parameter derivation is documented. Done means the function's psychometric outputs and relevant computation are clearly explained.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- tensorflow
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100