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Releases: TuringLang/Turing.jl

v0.8.0

05 Jan 06:10
v0.8.0
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v0.8.0 (2020-01-04)

Diff since v0.7.4

Closed issues:

  • Recommend memoization in docs for expensive functions in models when Gibbs sampling (#1024)
  • Missing Pkg in dependencies (#1020)
  • Numerical errors on Turing v0.7.4 (#1017)
  • Problem with random switch (#1013)
  • Error with Gibbs compositional sampler and an array (#1004)
  • Elliptical slice sampling (#991)
  • Simple syntax for querying the model and posterior sample (#989)
  • Unifying assume and observe and handling missing data and user-input variable names (#972)
  • Issues in Intro (#942)
  • Cannot compile Turing on fresh Julia install (#936)
  • Keyword arugments in @model are not treated as data (#911)
  • Sampling from an InverseWishart with HMC (#883)
  • Too much macro dependence? (#820)
  • Log probability of an observation (#817)
  • Model syntax: provide automatically all random variables as argument? (#792)
  • Use ModelingToolkit for frontend or IR? (#789)
  • Observe vectorisation issue. (#761)
  • Assume in vectorisation of HMC bug. (#760)
  • Function to add to logp within @model Turing model (#754)
  • Unifying error messages. (#747)
  • Option to reject samples that cause errors (#703)
  • Why does @model build a declaration instead of a value? (#667)
  • array comprehension for random variables (#604)
  • Compiler generated aliases (#533)
  • Compiler does not pass on the sampler (#532)
  • @varname can be replaced with a function (#514)
  • Refactoring VarName: new indexing scheme (#484)
  • Change broadcasting for ~ macro (#476)
  • Evaluating the posterior (#400)
  • Specialised inference (#313)

Merged pull requests:

v0.7.4

08 Dec 16:19
v0.7.4
bf07628
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v0.7.4 (2019-12-08)

Diff since v0.7.3

Closed issues:

  • Release Turing (#984)
  • observe and assume (#504)

Merged pull requests:

v0.7.3

22 Nov 04:48
v0.7.3
d1ae1f3
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v0.7.3 (2019-11-21)

Diff since v0.7.2

Closed issues:

  • Persistent numerical issues (#974)
  • Broken tests on 32-bit version of Julia on Windows. (#923)
  • Multivariate proposals for MH current not supported (#906)

Merged pull requests:

v0.7.2

29 Oct 02:02
v0.7.2
0c60b04
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v0.7.2 (2019-10-29)

Diff since v0.7.1

Closed issues:

  • Register turing 0.7.1 (#939)

Merged pull requests:

  • Upper bound versions for auto merge in General (rest) (#944) (xukai92)
  • Upper bound versions for auto merge in General (#943) (xukai92)

v0.7.1

28 Oct 09:58
v0.7.1
7cd1800
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See github.com/TuringLang/Turing.jl/releases/tag/v0.7.1 for release n…

v0.7.0

03 Oct 19:27
v0.7.0
92a3fbf
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v0.7.0 (2019-10-03)

Diff since v0.6.23

Closed issues:

  • Doc build/configuration error (#919)
  • Incompatibilty with LocationScale (#916)
  • GMM example fail (#914)
  • TArray and multinomial (#899)
  • StickBreakingProcess logpdf is ambiguous (#893)
  • /tutorials/1-gaussianmixturemodel: GC error (probable corruption) (#881)
  • Passing RNG (#870)
  • NaN violates Normal condition σ >= zero(σ) (#868)
  • Test produces lots of errors (#867)
  • Simple model fails to converge with N = 500 (#866)
  • getparams indexing error (#854)
  • Adding versioning support for Documentation and Tutorials. (#837)
  • MvNormal AD and cov symmetry (#827)
  • Simple example of ODE parameters inference (#810)
  • Design/improve/unifty sample\(\) interface (#746)
  • Resume interface (#566)
  • Better adaptation configuration interface (#491)
  • help with model (#412)

Merged pull requests:

v0.6.23

31 Jul 17:56
v0.6.23
a01967e
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v0.6.23 (2019-07-31)

Diff since v0.6.22

Closed issues:

  • NUTS/HMC not working on 0.6.19 (#864)

Merged pull requests:

v0.6.22

25 Jul 12:16
v0.6.22
93d3b75
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v0.6.22 (2019-07-25)

Diff since v0.6.21

Merged pull requests:

v0.6.21

24 Jul 19:03
v0.6.21
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v0.6.21 (2019-07-24)

Diff since v0.6.19

Merged pull requests:

v0.6.19

24 Jul 06:13
v0.6.19
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v0.6.19 (2019-07-23)

Diff since v0.6.18

Closed issues:

  • gradient_logp is not type stable (#856)
  • Tracker AD is broken for LDA (#850)
  • Turing Minor Release (#839)
  • Incorrect algorithm specification doesn't throw an error. (#831)
  • Error with tracker based gradient for MvNormal (#829)
  • Hack to get strictly typed Duals? (#818)
  • Make alg.space type info of the alg (#802)
  • AD error with custom distribution (#780)
  • Consider a CITATION.bib file (#759)
  • Completely eliminating Real from the model and pre-allocating (#665)

Merged pull requests: