tensorflow / tensorflow/probability
Normal Inverse Gamma distribution in tfp?
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Description
Is there implemented in tfp Normal-Inverse-Gamma distribution? I couldn't find it. If no, are there any plans to add this distribution?
https://en.wikipedia.org/wiki/Normal-inverse-gamma_distribution
I ask because I would like to test evidential deep learning in tf:
Bridging Computation and Experimentation with Evidential Deep Learning
MIT 6.S191: Evidential Deep Learning and Uncertainty
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 checking TensorFlow Probability's distribution catalog and documentation to determine whether a Normal-Inverse-Gamma distribution already exists. If it does not, clarify the expected API, mathematical behavior, tests, and documentation needed before implementation; completion would require an agreed design and verified distribution support.
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Assessment
- Tech stack
- tensorflow
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100