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Merged
cweniger merged 3 commits into from
Jul 28, 2023
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Release/v0.4.4 #134

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5bd0d16
Remove gaussian autoregressive stuff for now.
cweniger Jul 27, 2023
fe4470e
Update changelog.rst to v0.4.4
cweniger Jul 28, 2023
1290b7b
Merge branch 'master' into release/v0.4.4
cweniger Jul 28, 2023
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15 changes: 15 additions & 0 deletions docs/source/changelog.rst
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Expand Up @@ -5,6 +5,21 @@ The full release logs can be found on `github
<https://github.com/undark-lab/swyft/releases>_. Here we provide a brief
summary.

v0.4.4 (2023-07-31)
-------------------

- Included updated author list (AUTHOR file) and update LICENSE information
- Add torch conjugate gradient to dependencies (for forthcoming applications)
- Add list of Swyft publications and events to docs
- pytorch-lighthing 2.0 compatibility not fully established (pending until 2.0 has feature parity with 1.9)
- Add swyft.get_class_probs for extracting classification results from ratio estimators
- Add LogRatioEstimator_Gaussian, a Gaussian ratio estimator for arbitrary dimensions
- Deprecate LogRatioEstimator_1dim_Gaussian (worked only with 1dim features and 1dim parameters)
- Rewritten logratios aggregator in swyft.Module to be more resilient
- Add AuxLoss, which just enables to add arbitrary extra losses (e.g. related to regularisation) to the training object
- Enable Spectral embedding for parameters in LogRatioEstimator_Ndim for high fidelity posteriors
- Add LogRatioEstimator_Autoregressive, an autoregressive neural ratio estimator module

v0.4.3 (2023-04-28)
-------------------

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2 changes: 0 additions & 2 deletions swyft/lightning/__init__.py
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Expand Up @@ -29,8 +29,6 @@
"LogRatioEstimator_Ndim",
"LogRatioEstimator_Autoregressive",
"LogRatioEstimator_Gaussian",
"LogRatioEstimator_Gaussian_Autoregressive_Z",
"LogRatioEstimator_Gaussian_Autoregressive_X",
"RectBoundSampler",
"LogRatioEstimator_1dim_Gaussian",
]
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