TuringLang / TuringLang/AbstractMCMC.jl
Make `AbstractMCMC.step` function handle `rng` as part of state
Open
Nobody has claimed this yet.
- Dominant language
- Julia
- Stars
- 108
- Forks
- 20
- PR merge metrics
- No merged PRs in 30d
Description
For continuing MCMC sampling from a previous stopping point, we need to store the rng as part of the sampling state.
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 reading the linked AdvancedMH.jl references at src/mh-core.jl lines 83 and 90, then inspect the AbstractMCMC.step interface and its sampling-state representation. The change is complete when the RNG is retained as part of that state so sampling can continue from a previous stopping point; check existing interface tests if present.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100