v1.1.0

• Fixed Gaussian Mixture task for simulation_batch_size > 1 (thanks to @h3jia, #54, #63). Since experiments in the paper were run with a simulation batch size of 1000, this has an effect on the results. We will issue an update of the results.
• Additional changes for compatibility with sbi v0.21.0 (thanks to @bkmi, #60, @janfb #55, #57, #59)

v1.0.8

• Compatibility with sbi v0.20.0 and v.0.21.0 (@janfb, #50)
• Added tests for get_labels_parameters and get_labels_data (thanks to @psteinb, #39)
• Instructions for virtual environment (thanks to @psteinb, #47)
• Two Moons Likelihood for log=False fixed (thanks to @michaeldeistler, #41)
• Swap axis for dim in c2st function (thanks to @michaeldeistler, #43)

v1.0.7

• sbibm now depends on torch>=1.8
• Tests for task's and (S)MC-ABC interfaces (thanks to @psteinb, #30, #29)
• Additional metrics (#11)
• Name attribute for Bernoulli GLM Raw and SLCP Distractors fixed (thanks to @atiyo for pointing this out, #17)
• Adopted sbi v0.17.2 (thanks to @DongxiaW for poiting out a compatability problem, #27, #31, #32, #39)
• Code formatting with current versions of black and isort (thanks to @psteinb, #22)

v1.0.6

• Additional fix for PyTorch >= 1.8 compatibility concerning (S)MC-ABC (thanks to @atiyo, #12)

v1.0.5

• Fixed PyTorch >= 1.8 compatibility and added KDE warnings (#8, #10)
• Updated citation to AISTATS 2021

v1.0.4

• Fixed imports of kgof (thanks to @bkmi, #1)

v1.0.3

• Updating README following publication of preprint: https://arxiv.org/abs/2101.04653

v1.0.2

• Fixed PyPI packaging issues

v1.0.1

• Implemented sbibm.get_results for convenient fetching of benchmarking results

v1.0.0

• Initial release