v0.5.2 Rework Frost data

What's Changed

• 🔨 Rework Frost as external dependency by @o-laurent in #183
• 🔨 Rework FrostImages dataset & Rename a plotting function by @o-laurent in #184

Full Changelog: v0.5.1...v0.5.2

v0.5.1 :hammer: Rework Conformal methods and fix scalers in the multiclass setting

What's Changed

• ⚡ Version 0.5.1 by @o-laurent in #178
• Fixed an incorrect behavior in the multiclass setting for TemperatureScalers
• Reworked Conformal prediction methods and acknowledged TorchCP
• Also improved the tutorials to some extent

Full Changelog: v0.5.0...v0.5.1

v0.5.0 Major Update

What's Changed

• 📚 New documentation by @fira7s in #128
• 🐛 Fix erronous experimental config for Bayesian LeNet by @tonyzamyatin in #132
• ⬆️ Bump tj-actions/changed-files from 42 to 46 in /.github/workflows by @dependabot in #148
• 🔧 Run docs on self-hosted by @o-laurent in #149
• 🐛 Fix for Lightning 2.5 by @alafage in #150
• 🔧 Try fixing SSH agent issue by @o-laurent in #151
• ✨ Add an evalaluation batch size argument by @o-laurent in #156
• 🔨 Rework OOD criteria by @o-laurent in #153
• 📚 Update Dockerfile documentation by @tonyzamyatin in #161
• ✨ Add routine specific checkpoint callbacks for uncertainty-aware training by @alafage in #166
• ✨ Add Conformal prediction support by @giannifranchi in #168
• ✨ Add Test-Time Adaptation by @o-laurent in #154
• ✨ Add SGMCMC optimizers and sampling methods by @alafage in #170
• ✨ Enable combining val metrics by @alafage in #169
• ✨ Enable preprocessing without model by @o-laurent in #172
• 🎨 Revamp Tutorials by @alafage in #155
• ✨ Everything as a second level import by @o-laurent in #173
• 🐛 Support binary scaling by @o-laurent in #174
• 📚 Revamp the documentation by @o-laurent in #142
• 🔨 SegmentationRoutine supports OOD detection by @alafage in #177
• ✨ Version 0.5.0 by @o-laurent in #160

Full Changelog: v0.4.3...v0.5.0

v0.4.3.rc0 Compatibility fix for Lightning 2.5.1

What's Changed

• ⬆️ Bump tj-actions/changed-files from 42 to 46 in /.github/workflows by @dependabot in #148
• 🐛 Fix for Lightning 2.5.1 by @alafage in #150

Full Changelog: v0.4.3...v0.4.3.post0

Warning

Lightning<2.5.1 not supported for the CLI, if you encounter any issue please reach out to us.

v0.4.3 Rework PostProcessings, Enable dataset corruptions, use transforms v2

What's Changed

• 🔨 Rework post-processing classes to take a torch.utils.data.DataLoader in their .fit() methods by @o-laurent, @alafage, @fira7s
• 🔨 Improve the corruption transforms by @o-laurent in #144
• 🔨 All transforms rely on torchvision.transforms.v2 by @o-laurent
• 🔧 User changed-files again by @o-laurent in #147

Full Changelog: v0.4.2...v0.4.3

v0.4.2 Add docker, Rework BatchEnsemble & misc

What's Changed

• 🐛 Fix MNIST test dataloader for shifted data by @tonyzamyatin in #135
• 🐳 Add Dockerfile and documentation for using Docker image by @tonyzamyatin in #134
• 🔨 Use kornia's motion blur instead of Wand's Gaussian motion blur by @o-laurent in #140
• ✨ LeNet BatchEnsemble and Deep Ensemble + minor bugfixes by @tonyzamyatin in #137
• ✨ Docker settings, BatchEnsemble utilities rework + minor fixes by @alafage in #141

New contributor

Thank you, @tonyzamyatin, for your help adding features and finding small bugs!

Full Changelog: v0.4.1...v0.4.2

v0.4.1 Small dataset fixes

What's Changed

• 🪜 Small fixes and improvements by @o-laurent in #129

Full Changelog: v0.4.0...v0.4.1

v0.4.0 Rework distributions

The distributions for the regression and pixel-wise regression have been completely reworked through breaking changes. Have a look at the quality of life improvements to fix the code and use the last version if you are using the RegressionRoutine and/or PixelRegressionRoutine!

What's Changed

• 👕 Change character per line limit to 100 & remove explicit dependencies from pyproject by @o-laurent in #124
• 🔨 Rework for Probabilistic Regression & Pixel Regression by @alafage in #125
• 🐛 Fix small MUAD dataset URL by @sofiia-chorna in #127
• 🎨 Rework Probabilistic Regression and add Packed-Transformer layers by @alafage in #126

New Contributors

• @sofiia-chorna made their first contribution in #127 thank you!

Full Changelog: v0.3.1...v0.4.0

v0.3.1 Add UCI classification datasets, improve binary classification, add LS support for BCEWithLogitsLoss, Remove dependencies

What's Changed

• ✨ Add UCI classification datasets, improve binary classification, add LS support for BCEWithLogitsLoss, remove dependencies by @o-laurent and @alafage in #122

Thanks, @alafage, for the review.

Full Changelog: v0.3.0...v0.3.1

v0.3.0 Add distribution shift evaluation & more

Details

✨ Add evaluation of the metrics on a shifted dataset using the new --eval_shift argument
✨ Add a corrupted dataset
✨ Add new Packed layers
✨ Add the focal loss
👕 Plot segmentation results in the SegmentationRoutine
👕 Rework reliability diagrams for Calibration Error plot
➖ Make some dependencies
🐛 Fix corruption transforms

What's Changed

• 🔧 Maintenance and small improvements by @o-laurent in #114
• 🐛 Fix OOD & Post Processing at the same time & other small changes by @o-laurent in #115
• 👕 Complete metric overhaul, improve PP handling & fix Laplace by @o-laurent in #116
• 🎨 On the road to 0.3.0: Adding shift evaluation & more by @alafage in #117

Full Changelog: v0.2.2...v0.3.0