v4.0.0

This version contains a major overhaul of GraphPPL, making it independent of the RxInfer inference backend and allowing nested models.

v3.1.0

GraphPPL v3.1.0

Diff since v3.0.0

Merged pull requests:

• feat: priors as arguments support (#22) (@bvdmitri)

v3.0.0

GraphPPL v3.0.0

Diff since v2.3.1

Merged pull requests:

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

v2.3.1

GraphPPL v2.3.1

Diff since v2.3.0

v2.3.0

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

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)

v2.1.0

GraphPPL v2.1.0

Diff since v2.0.1

Merged pull requests:

• feat: allow conditional var creation (#12) (@bvdmitri)
• feat: add broadcasting syntax (#13) (@bvdmitri)
• Merge 2.1.0 branch into master branch (#14) (@bvdmitri)

v2.0.1

GraphPPL v2.0.1

Diff since v2.0.0

Closed issues:

• options variable name unavailable (#7)

v2.0.0

GraphPPL v2.0.0

Diff since v1.1.0

Merged pull requests:

• Constraints and meta specification languages (#9) (@bvdmitri)

v1.1.0

GraphPPL v1.1.0

Diff since v1.0.5

Closed issues:

• Non-user friendly error for not unique model variables (#6)

Merged pull requests:

• Constraints and meta specification language (#8) (@bvdmitri)