New version: AbstractMCMC v4.1.1 #61469
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Jun 1, 2022
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- Registering package: AbstractMCMC
- Repository: https://github.com/TuringLang/AbstractMCMC.jl
- Created by: @devmotion
- Version: v4.1.1
- Commit: 8d7f22f5a047a16b6870ebb15c0090331db8dcaa
- Reviewed by: @devmotion
- Reference: TuringLang/AbstractMCMC.jl@8d7f22f#commitcomment-75073443
- Description: Abstract types and interfaces for Markov chain Monte Carlo methods
UUID: 80f14c24-f653-4e6a-9b94-39d6b0f70001 Repo: https://github.com/TuringLang/AbstractMCMC.jl.git Tree: 12f50f61a13ca43edebaf6cda60ce3bee25f22e5 Registrator tree SHA: 8e1a5ac2695627143951512d700c7e3c445102ec
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in TuringLang/AbstractMCMC.jl
Jun 1, 2022
…nning` to iterator and transducer (#102) * Fix `discard_initial`, and add support for `discard_initial` and `thinning` to iterator and transducer * Fix test errors on Julia < 1.6 * Only enable progress logging on Julia < 1.6 * Use different seed * Update api.md * Update api.md * Update sample.jl * Use `==` instead of `===`
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