v1.6.0

1.6.0 (2025-11-09)

Features

• added new losses for regression. (b0805be)
• added the uncertainty corrected loss for DER. (326ca81)

Documentation

• 📛 badges addition for new formatter. (82aec5c)

v1.5.3

1.5.3 (2025-09-30)

Bug Fixes

• finally fixed the damn documentation. (a23251c)

Documentation

• clarified the predict function for MVE networks. (4973a4c)

Other

• 🦋 formatting according to runic. (8e8888c)

v1.5.2

1.5.2 (2024-06-19)

Bug Fixes

• fixed a bug in the prediction function of MVE network. (fcada7d)

v1.5.1

1.5.1 (2024-06-18)

Features

• Made explicit mu and sigma layers for MVE network. (97165ab)

Documentation

• added more docs. (7784a84)
• better workflow. (91ea4d7)
• cleaning up documentation and dead links. (c33b8f8)
• no idea why this fails. (f87fa9a)
• redeploying docs. (7fc8c65)
• updated documentation job. (9f6bc9f)

v1.5.0

1.5.0 (2024-06-18)

Features

• Made explicit mu and sigma layers for MVE network. (97165ab)

Documentation

• added more docs. (7784a84)
• better workflow. (91ea4d7)
• cleaning up documentation and dead links. (c33b8f8)
• no idea why this fails. (f87fa9a)
• redeploying docs. (7fc8c65)
• updated documentation job. (9f6bc9f)

v1.4.0

1.4.0 (2024-06-17)

Features

• Implemented Mean-variance network and cleaned up the dependencies. (448e865)

v1.3.3

1.3.3 (2023-04-25)

Other

• Added automatic formatting check for SciML compliance. (3fe21d8)

Documentation

• Added a badge for the style compliance check. (8bdbee8)
• Added a DOI Zenodo badge. (ea3f035)
• small corrections (708f4b1)

v1.3.2

Full Changelog: v1.3.1...v1.3.2

v1.3.1

What's Changed

• Derfix by @DoktorMike in #10

Full Changelog: v1.3.0...v1.3.1

v1.3.0

1.3.0 (2022-07-19)

Features

• Implemented the DER correction 🥶 (450a76f), closes #9
• Updated regression example to produce something more useful and more inline with the paper. (8577d8e)

Documentation

• Added classification image to readme. (9b3f64f)
• Added documentation of the dirloss function. (e412f92)
• Added more text regarding the classification entry. (afb03d1)
• Added the documentation of the DIR layer. (736ea62)
• Added the regression case to the README. (5fb3060)
• Documented the Deep evidential classification. (f33f872)
• Updated the example for the second regression case to use a power of 2 in the loss. (ec2026b)