tensorflow / tensorflow/probability
Suggestion for a simple "histogram" distribution
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Description
I would find it useful to be able to form a probability distribution from a set of samples, similarly to the Empirical distribution, but in a continuous fashion, like a histogram. Such a distribution would be better suited for MCMC inference than a pointlike Empirical distribution.
Does there already exist a canonical way to form such distributions? If not, would it be beneficial to have one?
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
No files or tests are named. Start by reviewing the existing Empirical distribution and the project's distribution APIs to determine whether a continuous histogram-like distribution already exists; done would require a decided design and clear agreement on whether a new distribution is needed.
Written by the indexing model from the issue text.
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