Releases: StatisticalRethinkingJulia/MCMCBenchmarks.jl
Releases · StatisticalRethinkingJulia/MCMCBenchmarks.jl
v0.7.2
MCMCBenchmarks v0.7.2
Closed issues:
- Release v0.7.1 (#92)
Merged pull requests:
- CompatHelper: bump compat for "Turing" to "0.10" (#94) (@github-actions[bot])
- CompatHelper: bump compat for "CSV" to "0.6" (#95) (@github-actions[bot])
- CompatHelper: bump compat for "Turing" to "0.11" (#96) (@github-actions[bot])
- CompatHelper: bump compat for "DataFrames" to "0.21" (#97) (@github-actions[bot])
- CompatHelper: bump compat for "Turing" to "0.12" (#98) (@github-actions[bot])
- Merge updates for .7.2 (#99) (@itsdfish)
v0.7.1
v0.7.0
MCMCBenchmarks v0.7.0
Closed issues:
- Release MCMCBenchmarks v0.6.0 (#74)
Merged pull requests:
- Updates for MCMCChains 3+ (#81) (@itsdfish)
- CompatHelper: add new compat entry for "Requires" at version "1.0" (#84) (@github-actions[bot])
- CompatHelper: bump compat for "Distributions" to "0.23" (#86) (@github-actions[bot])
- CompatHelper: add new compat entry for "CSV" at version "0.5" (#87) (@github-actions[bot])
- CompatHelper: add new compat entry for "AdvancedHMC" at version "0.2" (#88) (@github-actions[bot])
- CompatHelper: bump compat for "StatsPlots" to "0.14" (#90) (@github-actions[bot])
v0.6.0
MCMCBenchmarks v0.6.0
Closed issues:
- Update to v0.5.5 (#68)
Merged pull requests:
- Update to v0.5.5 (#67) (@itsdfish)
- CompatHelper: bump compat for "Turing" to "0.8" (#69) (@github-actions[bot])
- CompatHelper: bump compat for "Distributions" to "0.22" (#70) (@github-actions[bot])
- CompatHelper: bump compat for "SpecialFunctions" to "0.10" (#71) (@github-actions[bot])
- CompatHelper: bump compat for "CmdStan" to "6.0" (#72) (@github-actions[bot])
- Updates for dependencies (#73) (@itsdfish)
v0.5.5
MCMCBenchmarks v0.5.5
Closed issues:
- Test with reverse auto-diff (#20)
- Comments Bob Carpenter (#22)
- Add Documentation (#28)
- Release .5.3 (#50)
- Unable to load MCMCBenchmarks (#51)
- Added CompatHelper to all packages in StatisticalRethinking (#52)
- Update to v0.5.4 (#56)
- MCMCChains v1 (#62)
- Separate Models/Benchmarks from package (#64)
Merged pull requests:
- CompatHelper: bump compat for "SpecialFunctions" to "0.9" (#54) (@github-actions[bot])
- CompatHelper: bump compat for "StatsPlots" to "0.13" (#55) (@github-actions[bot])
- CompatHelper: bump compat for "MCMCChains" to "0.4" (#57) (@github-actions[bot])
- CompatHelper: bump compat for "DataFrames" to "0.20" (#58) (@github-actions[bot])
- CompatHelper: bump compat for "LogDensityProblems" to "0.10" (#59) (@github-actions[bot])
- CompatHelper: bump compat for "MCMCChains" to "1.0" (#61) (@github-actions[bot])
- fix deprecated functions (#63) (@itsdfish)
- Move benchmark models to MCMCBenchmarkSuite (#65) (@itsdfish)
- Fix docs (#66) (@itsdfish)
v0.5.3
v0.5.2
v0.5.1
v0.5.0
v0.5.0 (2019-08-23)
Closed issues:
- The LBA model is different between Turing's and Stan's (#43)
- Model for DynamicHMC doesn't use truncated distribution (#38)
- How are keyword parameters passed (#37)
- Pin DynamicHMC and LogDensityProblems (#36)
- Does not run with low Nsamples and Nadapt (#35)
- Fix DataFrame Deprecations (#34)
- Standardize names for cross sampler rhat (#33)
- How do you generate the data for LBA? (#32)
- Drop support for DynamicNUTS (#31)
- Chain ranges differ (#30)
- Inconsistency between preconditoning matrix adaptation methods (#29)
- Add Tests (#27)
- How do I suppose to run this repo locally? (#25)
- Change output directory for figures (#24)
- Status of MCMCBenchmarks (#23)
- Memory differences for parallel and single chains (#19)
- plots for HPD (#18)
- Debugging functionality (#16)
- @JuliaRegistrator
register\(\)
(#15) - Maximum iterations for LBA (#14)
- Speed up Stan compilation (#13)
- Sketch of Regression example (#12)
- Saving Dataframe for post processing and adding version info (#10)
- Error handling for DynamicNUTS (#3)
- List of models to add for benchmarking (#1)
Merged pull requests:
- Fix another mismatch in the LBA model and make it type stable (#44) (xukai92)
- Optimize Gaussian model for Turing (#42) (xukai92)
- Make LR model type stable and faster (#41) (xukai92)
- Improve scripts (#40) (xukai92)
- Use mv normal instead of iid normals in Poisson (#39) (xukai92)
- Fix Turing's burn-in samples (#26) (xukai92)
v0.0.1
v0.0.1 (2019-05-27)
Diff since a5e3a27d43dfc4d3d95c8305e5e7691063cb236f
Closed issues:
- Parallelizing the benchmkarks (#11)
- Saving Dataframe for post processing and adding version info (#10)
- Epsilon for DynamicHMC (#9)
- Plotting issue (#8)
- Re-run benchmark and relink figures (#7)
- Domain error for LBA using DynmaicHMC (#6)
- Add subdirs to Examples & Models to store the benchmarks? (#5)
- issues with addColumns! (#4)
- Turn off printing for each sampler (#2)