v0.4.2

TensorInference v0.4.2

Diff since v0.4.1

Merged pull requests:

• CompatHelper: add new compat entry for Artifacts at version 1, (keep existing compat) (#89) (@github-actions[bot])
• Add a function to generate tensor network model by optimized EinCode (#90) (@ArrogantGao)
• update generic tensor network to version 2.0 (#92) (@GiggleLiu)

Closed issues:

• different behavior of argmax for Vector and Matrix leads to error (#91)

v0.4.1

TensorInference v0.4.1

Diff since v0.4.0

v0.4.0

TensorInference v0.4.0

Diff since v0.3.0

Merged pull requests:

• Let marginals return dict (#61) (@GiggleLiu)
• Fix issues: 62 69 66 (#70) (@GiggleLiu)
• docs: add a section on performance evaluation (#74) (@mroavi)
• Fix the overflow issue in probability (#78) (@GiggleLiu)
• CompatHelper: bump compat for TropicalNumbers to 0.6, (keep existing compat) (#82) (@github-actions[bot])
• CompatHelper: bump compat for CUDA to 5, (keep existing compat) (#83) (@github-actions[bot])

Closed issues:

• Improve convering combinatorial optimization problems (#59)
• Asia network log partition is zero in the docs (#62)
• UAI reference comparison tests often fail (#65)
• Tensor networks are never defined (#66)
• State of the field is missing (#67)
• Performance evaluation is missing (#68)
• Quirks in the hard-core lattice gas example (#69)
• Code example in paper (#76)
• Arithmetic overflow or underflow when solving PR tasks (#77)

v0.3.0

TensorInference v0.3.0

Diff since v0.2.1

Closed issues:

• Combinatorial optimization example (#55)
• Joint marginal probability (#56)

Merged pull requests:

• Example: hard core lattice gas (#58) (@GiggleLiu)
• Return Samples type instead of a matrix (#60) (@GiggleLiu)

v0.2.1

TensorInference v0.2.1

Diff since v0.2.0

Merged pull requests:

• Port GenericTensorNetworks (#57) (@GiggleLiu)

v0.2.0

TensorInference v0.2.0

Diff since v0.1.0

Closed issues:

• Running the test suit in CI takes extremely long and sometimes fails (#43)
• Support data downloading and loading (#44)
• Removing inplace operations (#49)

Merged pull requests:

• remove tropicalgemm as a dependency (#48) (@GiggleLiu)
• Support artifact downloading and reading (#50) (@mroavi)
• refactor uai reading (#51) (@GiggleLiu)
• Fix some issues (#52) (@GiggleLiu)
• fix model printing (#53) (@GiggleLiu)

v0.1.0

TensorInference v0.1.0

Closed issues:

• Implement MMAP (#7)
• CUDA support (#10)
• Use artifacts in favor of the data dir (#14)
• Inference errors or fails for 105 of the 142 UAI 2014 Inference Competition problems (#15)
• Set automatic benchmarks in CI (#20)
• Implement the sampling algorithm (#21)
• Use test/Project.toml in favor of [extras] in Project.toml (#23)
• Use @debug in favor of @info throughout the codebase (#24)
• Move CI benchmark to another repository (#27)
• Remove Artifacts as a project dependency (#32)
• Support reading solution files for the MAP, MMAP and PR tasks (#35)
• Make the repo public (#37)
• Hash mismatch when downloading artifact (#38)
• Refactor MMAPModel such that it takes the query vars instead of the marginalzed vars (#40)

Merged pull requests:

• Clean up the project (#3) (@GiggleLiu)
• Finding the most probable configuration with tropical numbers (#4) (@GiggleLiu)
• refactor interfaces (#5) (@GiggleLiu)
• MMAP - most probable configuration after marginalizing some variables (#9) (@GiggleLiu)
• CUDA support (#12) (@GiggleLiu)
• time space complexity estimate for MMAP (#13) (@GiggleLiu)
• Rescale tensors and choose correct contraction order optimizer in tests (#16) (@GiggleLiu)
• Define a format style and format all files using JuliaFormatter.jl (#17) (@mroavi)
• Run benchmarks in CI and send results to TensorBFS/TensorInference-data (#18) (@mroavi)
• Run benchmarks in CI and push results to TensorBFS/TensorInference-data (#19) (@mroavi)
• Add Asia example and polish the interfaces (#22) (@GiggleLiu)
• Use test/Project.toml in favor of [extras] in Project.toml (#25) (@mroavi)
• Add tropicalgemm and precompile (#26) (@GiggleLiu)
• Sampling configurations (#28) (@GiggleLiu)
• Improve the performance of sampling (#30) (@GiggleLiu)
• Refactor inference tests (#31) (@mroavi)
• Move Artifacts.toml from main project to test project (#33) (@mroavi)
• Use MAP in favor of MPE (#34) (@mroavi)
• Support reading solution files for the MAP, MMAP and PR tasks (#36) (@mroavi)
• UAI reference solution comparison tests (#41) (@mroavi)
• Fix mmap constructor, add UAIInstance pretty printing (#45) (@GiggleLiu)
• Enhance docs (#46) (@mroavi)