v0.6.3

TensorInference v0.6.3

Diff since v0.6.2

Merged pull requests:

• Support rescaled array in sampling (#103) (@GiggleLiu)

Closed issues:

• Rescaled Array for Sampling (#102)

v0.6.2

TensorInference v0.6.2

Diff since v0.6.1

Merged pull requests:

• Upgrade omeinsum to version 0.9.1 (#101) (@GiggleLiu)

Closed issues:

• Complex entries need to be conjugated after cost_and_gradient (#98)

v0.6.1

TensorInference v0.6.1

Diff since v0.6.0

Merged pull requests:

• Demo: fix tests in complex BP (#100) (@GiggleLiu)

v0.6.0

TensorInference v0.6.0

Diff since v0.5.0

Breaking changes

• Changed the mars keyword of TensorNetworkModel argument to unity_tensors_labels to be more accurate.
• Changed the vars field of TensorNetworkModel to nvars. It seems not nessesary to name the variables.
• Removed a lot of unused interfaces for TensorNetworkModel.
• Move the autodiff related feastures to OMEinsum.

The following APIs are added:

• BeliefPropgation: create a belief propagation model instance, which can be derived from the UAI model.
• belief_propagate: perform message passing until convergence, returns a BPState object and extra info.
• random_tensor_train_uai and random_matrix_product_uai: two UAI models for testing.

Merged pull requests:

• Implement Belief propagation as a new inference backend (#97) (@GiggleLiu)

Closed issues:

• Precompilation is commented out (#64)

v0.5.0

TensorInference v0.5.0

Diff since v0.4.2

Breaking changes

• Add ProblemReductions as a dependency. Now we can convert a statistical model into a tensor network with a single function call.
• Add the CUDA extension, replacing the previous Requires.

Merged pull requests:

• Switch from Requires to extensions (#81) (@GiggleLiu)
• Fix show method for the MMAP model (#95) (@GiggleLiu)
• Fix sampling algorithm (#96) (@GiggleLiu)

Closed issues:

• Issue with MMAPModel and most_probable_config Function (#93)

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)