Version 1.3.1

We are happy to announce the AutoGluon 1.3.1 release!

AutoGluon 1.3.1 contains bug fixes and logging improvements for Tabular, TimeSeries, and Multimodal modules.

This release contains 9 commits from 5 contributors! See the full commit change-log here: https://github.com/autogluon/autogluon/compare/1.3.0…1.3.1

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This release supports Python versions 3.8, 3.9, 3.10, and 3.11. Loading models trained on older versions of AutoGluon is not supported. Please re-train models using AutoGluon 1.3.1.

General

  • Version update. @tonyhoo ([#5112]https://github.com/autogluon/autogluon/pull/5112)

Tabular

The new v1.3.1 release brings numerous usability improvements and bug fixes to the Tabular module.

Fixes and Improvements

  • Fix TabPFN dependency. @fplein ([#5119]https://github.com/autogluon/autogluon/pull/5119)

  • Fix incorrect reference to positive_class in TabularPredictor constructor. @celestinoxp ([#5129]https://github.com/autogluon/autogluon/pull/5129)

TimeSeries

The new v1.3.1 release brings numerous usability improvements and bug fixes to the TimeSeries module.

Fixes and Improvements

  • Fix ensemble weights format for printing by @shchur in #5132

  • Avoid masking the scaler param with the default target_scaler value by @shchur in #5131

  • Fix FutureWarning in leaderboard and evaluate methods by @shchur in #5126

Multimodal

The new v1.3.1 release brings numerous usability improvements and bug fixes to the Multimodal module.

Fixes and Improvements

  • Fix multimodal tutorial issue after 1.3 release @tonyhoo in #5121

Documentation and CI

  • Add release instructions for pasting whats_new release notes. @Innixma ([#5111]https://github.com/autogluon/autogluon/pull/5111)

  • Update docker image to use 1.3 release base. [@tonyhoo] ([#5130]https://github.com/autogluon/autogluon/pull/5130)

Contributors

Full Contributor List (ordered by # of commits):

@shchur @tonyhoo @celestinoxp

New Contributors