Skip to content

Latest commit

 

History

History
40 lines (36 loc) · 1.63 KB

File metadata and controls

40 lines (36 loc) · 1.63 KB

Release 0.4.0-alpha

  • Fix compatibility with Julia 0.6 [#341, #330, #293]
  • Support of Stan interface [#343, #326]
  • Fix Binomial distribution for gradients. [#311]
  • Stochastic gradient Hamiltonian Monte Carlo [#201]; Stochastic gradient Langevin dynamics [#27]
  • More particle MCMC family samplers: PIMH & PMMH [#364, #369]
  • Disable adaptive resampling for CSMC [#357]
  • Fix resampler for SMC [#338]
  • Interactive particle MCMC [#334]
  • Add type alias CSMC for PG [#333]
  • Fix progress meter [#317]

Release 0.3

  • NUTS implementation #188
  • HMC: Transforms of ϵ for each variable #67 (replace with introducing mass matrix)
  • Finish: Sampler (internal) interface design #107
  • Substantially improve performance of HMC and Gibbs #7
  • Vectorising likelihood computations #117 #255
  • Remove obsolete randoc, randc? #156
  • Support truncated distribution. #87
  • Refactoring code: Unify VarInfo, Trace, TaskLocalStorage #96
  • Refactoring code: Better gradient interface #97

Release 0.2

  • Gibbs sampler ([#73])
  • HMC for constrained variables ([#66]; no support for varying dimensions)
  • Added support for Mamba.Chain ([#90]): describe, plot etc.
  • New interface design ([#55]), ([#104])
  • Bugfixes and general improvements (e.g. VarInfo [#96])

Release 0.1.0

  • Initial support for Hamiltonian Monte Carlo (no support for discrete/constrained variables)
  • Require Julia 0.5
  • Bugfixes and general improvements

Release 0.0.1-0.0.4

The initial releases of Turing.

  • Particle MCMC, SMC, IS
  • Implemented copying for Julia Task
  • Implemented copy-on-write data structure TArray for Tasks