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Release notes

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

Version 0.2.1 (January 15, 2026)

Added

  • Added support for custom layers in PyTorch (#237)

Version 0.2.0 (January 14, 2026)

This release contains a number of breaking changes. See below for details on how to upgrade from v0.1.19.

Breaking

  • Remove ::Matrix method that maps over columns (#223).

    This change means you cannot do MathOptAI.add_predictor(model, predictor, x) where x::Matrix and have it return a y::Matrix corresponding to mapping the predictor over the columns of x.

    To upgrade, replace:

    y, formulation = MathOptAI.add_predictor(model, predictor, x::Matrix)

    with:

    ret = map(1:size(x, 2)) do i
    return MathOptAI.add_predictor(model, predictor, x[:, i])
end
formulation = last.(ret)
y = reduce(hcat, first.(ret))

    and write additional code as needed to handle the formulation objects.

  • Replace GrayBox by VectorNonlinearOracle implementation (#230)

    We have removed the old GrayBox predictor and replaced it by the VectorNonlinearOracle predictor, which has now been renamed to GrayBox. In addition, the ; vector_nonlinear_oracle = true keyword argument has been removed, and the new ; gray_box = true is equivalent to the old ; vector_nonlinear_oracle = true.

    To upgrade, replace:

    MathOptAI.add_predictor(model, predictor, x; vector_nonlinear_oracle = true)

    with:

    MathOptAI.add_predictor(model, predictor, x; gray_box = true)

  • Change config dictionary to have functions as values (#233)

    We have changed how the ; config = Dict() keyword works for the Flux, Lux, and PyTorch extensions. Where previously the values were instantiated AbstractPredictor objects, they must now be constructors that, when called, return an AbstractPredictor object.

    As an example of upgrading, replace:

    ; config = Dict(Flux.relu => MathOptAI.ReLU())

    with:

    ; config = Dict(Flux.relu => MathOptAI.ReLU)
# or, alternatively
; config = Dict(Flux.relu => () -> MathOptAI.ReLU())

Added

Fixed

  • Simplify test to fix flakey TestPythonCallExt.test_gelu (#228)

Other

  • Remove comment that vector_nonlinear_oracle is experimental (#219)
  • Added this changelog (#234), (#236)

Version 0.1.19 (December 5, 2025)

Added

Version 0.1.18 (October 24, 2025)

Added

  • Propagate start values through layers (#210)

Other

  • Update to JuliaFormatter@2 (#211)
  • Make some predictors callable (#212)

Version 0.1.17 (October 23, 2025)

Fixed

  • Iterate over PyTorch Sequential module itself, rather than its children (#207)

Version 0.1.16 (October 22, 2025)

Added

  • Add GELU predictor (#202)
  • Add support for MOI.VectorNonlinearOracle (#204)

Other

  • Clarify the problem class of each predictor (#205)

Version 0.1.15 (September 30, 2025)

Added

  • Add extension hooks for InfiniteOpt (#200)

Other

  • Refactor different ReLU into separate files (#199)

Version 0.1.14 (September 8, 2025)

Fixed

  • Fix binary decision tree by making the tolerance default to 1e-6 (#196)
  • Fix docs because of a change in Lux (#197)

Other

  • Update README.md with MOAI paper (#194)

Version 0.1.13 (July 8, 2025)

Fixed

  • Add DimensionMismatch checks for Affine and Scale (#192)

Version 0.1.12 (June 3, 2025)

Added

  • Add a reduced_space fallback for extensions (#187)

Other

  • Update test for change in MOI@1.40.2 (#186)
  • Add Softmax to the PyTorch manual page (#188)

Version 0.1.11 (June 2, 2025)

Added

  • Add LinearCombination predictor (#181)
  • Add EvoTrees.jl extension (#182)

Other

  • Fix docstrings in MathOptAIEvoTreesExt.jl (#183)
  • Update to Lux@1 (#184)

Version 0.1.10 (April 14, 2025)

Added

  • Allow relaxation of ReLUQuadratic (#178)

Fixed

  • Fix duplicate test name (#176)

Version 0.1.9 (April 1, 2025)

Added

  • Add VectorNonlinearOracle predictor (#172)

Version 0.1.8 (March 31, 2025)

Added

Other

  • Add paper to README (#169)

Version 0.1.7 (January 17, 2025)

Fixed

  • Evaluate torch model to get output dimension (#166)

Version 0.1.6 (November 7, 2024)

Other

  • Clarify instructions to load PythonCall (#163)

Version 0.1.5 (November 6, 2024)

Added

  • Add gray_box_device option for PyTorchModel (#159)

Fixed

  • Fix flakey tests (#161)

Version 0.1.4 (October 25, 2024)

Fixed

  • Add bound constraints to the Formulation object (#155)

Other

  • Improve the docstrings (#156)
  • Fix various typos (#157)

Version 0.1.3 (October 24, 2024)

Other

  • Delete .github/workflows/documentation-deploy.yml (#150)
  • Improve manual for NN extensions (#152)
  • Fix documentation link in README.md (#153)

Version 0.1.2 (October 23, 2024)

Other

  • Add DOCUMENTER_KEY (#148)

Version 0.1.1 (October 23, 2024)

Other

  • Update installation instructions for registered package (#141)
  • Create documentation-deploy.yml (#146)

Version 0.1.0 (October 22, 2024)

Initial release. Too many pull requests to reference.