- 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)
- Compatibility with
sbi
v0.20.0 and v.0.21.0 (#50) - Added tests for
get_labels_parameters
andget_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
fordim
in c2st function (thanks to @michaeldeistler, #43)
sbibm
now depends ontorch>=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)
- Additional fix for PyTorch >= 1.8 compatibility concerning (S)MC-ABC (thanks to @atiyo, #12)
- Fixed PyTorch >= 1.8 compatibility and added KDE warnings (#8, #10)
- Updated citation to AISTATS 2021
- Fixed imports of
kgof
(thanks to @bkmi, #1)
- Updating README following publication of preprint: https://arxiv.org/abs/2101.04653
- Fixed PyPI packaging issues
- Implemented
sbibm.get_results
for convenient fetching of benchmarking results
- Initial release