Version 1.3.1

We are happy to announce the AutoGluon 1.3.1 release!

AutoGluon 1.3.1 contains several 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.

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General

• Version update. @tonyhoo #5112

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Tabular

Fixes and Improvements

• Fix TabPFN dependency. @fplein #5119
• Fix incorrect reference to positive_class in TabularPredictor constructor. @celestinoxp #5129

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TimeSeries

Fixes and Improvements

• Fix ensemble weights format for printing. @shchur #5132
• Avoid masking the scaler param with the default target_scaler value for DirectTabular and RecursiveTabular models. @shchur #5131
• Fix FutureWarning in leaderboard and evaluate methods. @shchur #5126

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Multimodal

Fixes and Improvements

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

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Documentation and CI

• Add release instructions for pasting whats_new release notes. @Innixma #5111
• Update docker image to use 1.3 release base. @tonyhoo #5130

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Contributors

Full Contributor List (ordered by # of commits):

@shchur @tonyhoo @celestinoxp

New Contributors

• @fplein made their first contribution in #5119