Sbibm

Latest version: v1.1.0

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1.1.0

- 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)

1.0.8

- Compatibility with `sbi` v0.20.0 and v.0.21.0 (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)

1.0.7

- `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)

1.0.6

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

1.0.5

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

1.0.4

- Fixed imports of `kgof` (thanks to bkmi, 1)

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