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Releases: ReactiveBayes/GraphPPL.jl

v4.2.0

23 May 14:25
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GraphPPL v4.2.0

Diff since v4.1.0

Merged pull requests:

Closed issues:

v4.1.0

23 Apr 10:23
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GraphPPL v4.1.0

Diff since v4.0.2

Merged pull requests:

  • Set minimum required version of Julia to 1.10 (#231) (@bvdmitri)

Closed issues:

  • GraphPPL does not work for Julia <1.10 (#230)

v4.0.2

20 Apr 10:39
c103194
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GraphPPL v4.0.2

Diff since v4.0.1

Merged pull requests:

Closed issues:

  • Duplicate arguments in the ~ (make_node) must throw an error (#226)

v4.0.1

17 Apr 13:13
c9a744a
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GraphPPL v4.0.1

Diff since v4.0.0

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v4.0.0

12 Apr 14:30
c0fb433
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This version contains a major overhaul of GraphPPL, making it independent of the RxInfer inference backend and allowing nested models.

v3.1.0

24 Nov 16:17
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GraphPPL v3.1.0

Diff since v3.0.0

Merged pull requests:

v3.0.0

03 Nov 09:32
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GraphPPL v3.0.0

Diff since v2.3.1

Merged pull requests:

  • Add alias for MvNormalMeanScalePrecision (#19) (@bvdmitri)

v2.3.1

05 Aug 14:21
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GraphPPL v2.3.1

Diff since v2.3.0

v2.3.0

05 Aug 12:43
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GraphPPL v2.3.0

Diff since v2.2.0

Merged pull requests:

  • Feature: aliases and keyword distribution specification in the model macro (#18) (@bvdmitri)

v2.2.0

05 Jul 10:12
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GraphPPL v2.2.0

Diff since v2.1.0

Closed issues:

  • Add broadcasting tilde operation (#10)
  • Allow for conditional random variable creation (#11)
  • Add support for upcoming RequireMarginal node pipeline in ReactiveMP (#15)

Merged pull requests:

  • feat: add RequireMarginal pipeline support (#16) (@bvdmitri)