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Releases: TuringLang/Turing.jl

v0.32.2

30 May 11:38
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Turing v0.32.2

Diff since v0.32.1

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v0.32.1

29 May 17:26
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Turing v0.32.1

Diff since v0.32.0

Merged pull requests:

Closed issues:

  • Rendering issue on prob PCA tutorial (#2111)
  • Broken links on the website (#2154)
  • LaTeX not rendering properly on PCA tutorial (#2185)
  • Maths not displayed in variational inference writeup (#2222)

v0.32.0

18 May 16:03
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Turing v0.32.0

Diff since v0.31.5

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v0.31.5

17 May 09:36
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Turing v0.31.5

Diff since v0.31.4

Merged pull requests:

Closed issues:

  • Issues with constrained parameters depending on each other (#2195)

v0.31.4

07 May 17:58
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Turing v0.31.4

Diff since v0.31.3

Features

  • It is now possible to use := to track deterministic quantities in the model.

Merged pull requests:

  • Use values_as_in_model to extract the parameters from a Transition (#2202) (@torfjelde)

Closed issues:

  • Problems with deterministic distribution (#1335)
  • Zygote's compilation scales badly with the number of ~ statements (#1754)
  • New Gibbs sampler based on SimpleVarInfo. (#1904)
  • LKJCholesky returns a Union (#2102)
  • ADVI is not up-to-date on the AD side (#2186)
  • Model fails with an autograd error (#2189)
  • Why are we passing chunksize=0 to AutoForwardDiff rather than using default? (#2203)

v0.31.3

30 Apr 10:33
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Turing v0.31.3

Diff since v0.31.2

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v0.31.2

30 Apr 07:37
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Turing v0.31.2

Diff since v0.31.1

Merged pull requests:

  • CompatHelper: bump compat for ADTypes to 1, (keep existing compat) (#2200) (@github-actions[bot])
  • Improvements to externalsampler (#2204) (@torfjelde)
  • Revert "CompatHelper: bump compat for ADTypes to 1, (keep existing compat)" (#2207) (@torfjelde)
  • Bump AdvancedPS version to 0.6.0 (#2210) (@THargreaves)

v0.31.1

24 Apr 09:36
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Turing v0.31.1

Diff since v0.31.0

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Closed issues:

  • ADVI errors for conditioned problems (#2205)

v0.31.0

23 Apr 18:48
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Turing v0.31.0

Diff since v0.30.9

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v0.30.9

21 Apr 10:03
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Turing v0.30.9

Diff since v0.30.8

New features

  • Turing.Experimental module where more experimental features will go, with the aim of eventually making its way into Turing proper.
  • Turing.Experimental.Gibbs is a new implementation of the Gibbs sampler which provides much greater flexibility specifying which variables should use which sampler. Note that this is in the Turing.Experimental module, and thus will be prone to changes.

Merged pull requests: