[Library Upgrade] autogluon

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Assessment

Difficulty
2/5
Estimated time
1-3 hours
Newbie friendliness
74/100
Issue type
Feature
Clarity
Mostly clear
Activity status
Active
Tech stack
python
Domain
build-system, machine-learning

Research direction

Start at the autogluon package environment and the Supported Libraries page referenced in the issue. Update the seven autogluon* packages to 1.6.1 and ray to a compatible 2.55.0-or-newer version below 2.57, then verify the environment resolves those versions and satisfies the stated dependency floor.

Written by the indexing model from the issue text.

Description

library-request

AutoGluon automates machine learning tasks, enabling you to train and deploy high-accuracy machine learning and deep learning models on image, text, time series and tabular data with just a few lines of code. It ships in the dedicated autogluon package environment.

Expected Behavior

The autogluon package environment ships the latest stable AutoGluon release, 1.6.1 (released 2026-08-06).

Actual Behavior

The autogluon package environment still ships AutoGluon 1.5.0 (released 2025-12-19). autogluon, autogluon.common, autogluon.core, autogluon.features, autogluon.multimodal, autogluon.tabular and autogluon.timeseries are all pinned to 1.5.0 (see the Supported Libraries page, autogluon environment).

Potential Solution

Bump the seven autogluon* packages to 1.6.1 in the autogluon package environment.

The upgrade also moves the ray floor, so ray has to be bumped in the same environment:

AutoGluon 1.5.0 AutoGluon 1.6.1
ray[default] requirement >=2.43.0,<2.53 >=2.55.0,<2.57

The autogluon environment currently has ray 2.52.1, which is below the 1.6.1 floor. This overlaps with #9222.

Checklist
  • I have completely filled out this template
  • I have confirmed that this issue exists on the current master branch
  • I have confirmed that this is not a duplicate issue by searching issues

Requested by a Cloud member (Intercom conversation 215475609991152).

Dominant language
C#
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Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

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