Pytorch-inferno

Latest version: v0.2.2

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0.2.2

Important changes

Breaking

Additions

Removals

Fixes

- Crash due to recent versions of fastcore checking for `__slots__` attribute, and `ABC` classes in Py >=3.7 having `__slots__`.

Changes

Depreciations

Comments

0.2.1

Important changes

- INFERNO updated to handle weighted training data (thanks llayer)

Breaking

Additions

Removals

Fixes

- Minor bug fix when plotting weighted data

Changes

Depreciations

Comments

0.2.0

Important changes

- APIs and scope of INFERNO and inference methods changed to be more general, allowing:
- shape systematics for signal
- multiple constrained rate nuisances for signal and background
- Auxiliary measurements of rate parameters should now be provided centred at zero, rather than the rate.
- Module layout changed

Breaking

- APIs and scope of INFERNO and inference methods changed to be more general, allowing:
- shape systematics for signal
- multiple constrained rate nuisances for signal and background
- Auxiliary measurements of rate parameters should now be provided centred at zero, rather than the rate.
- Module layout changed

Additions

- APIs and scope of INFERNO and inference methods changed to be more general, allowing:
- shape systematics for signal
- multiple constrained rate nuisances for signal and background
- Auxiliary measurements of rate parameters should now be provided centred at zero, rather than the rate.
- Inference can now better handle cases where no systematics are present

Removals

Fixes

- Set `validate_args` in `Poisson`s to False to ensure compatibility with `torch v1.8`

Changes

Depreciations

Comments

0.2.0.a

Making release to begin Zenodo sync

0.0.1

Version used for https://gilesstrong.github.io/website/statistics/hep/inferno/2020/12/18/inferno-3.html

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