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Update flaml requirement from <2.6.0 to <2.8.0 in /mlos_core - #1048

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Updates the requirements on flaml to permit the latest version.

Release notes

Sourced from flaml's releases.

v2.7.0

This release improves reproducibility and correctness across AutoML and tuning, including consistent random seed handling for SGD, logistic regression, random forest, and XGBoost, per-fold resampling for class imbalance, corrected quantized float sampling, per-metric trial averages, and preservation of zero-valued anonymous tuning metrics. It strengthens data preparation and evaluation with stable categorical encoding, aligned sample weights for non-shuffled and group splits, and free-memory propagation, while adding compatibility for recent scikit-learn and statsmodels changes. It corrects Statsmodels future forecast horizons and adds a Simplified Chinese README. It also adds Windows ARM64 CI, hardens GitHub Actions permissions and action pinning, and refreshes documentation and dependencies.

Thank you to all contributors for the PRs, issues, reviewing and testing.

Welcome @​immu4989, @​arpitjain099, @​arushiiii18, @​danfiedler-msft, @​MeiSiristhebest, @​AmirF194, @​shoemoney, @​VenishPaneliya, @​nithin-aashik-mcw, @​betacatsling, @​wangyusheng1985, and @​JasonYeYuhe to the community!

What's Changed

... (truncated)

Commits
  • ac9e356 docs: add Simplified Chinese translation (README.zh.md) (#1604)
  • c0a0b2f Preserve zero-valued anonymous tuning metrics (#1603)
  • e6fa5d9 Fix Statsmodels future forecast horizon (#1608)
  • b7d9c5f Bump version from 2.6.0 to 2.7.0 (#1607)
  • f6cc5cf feat: add optional resampler= kwarg to AutoML.fit for per-fold class-imbalanc...
  • b184314 build(deps): bump colord from 2.9.3 to 2.10.0 in /website (#1595)
  • 9ca58b0 Docs: standardize code block indentation for issue #884 (#1596)
  • 830a7f7 build(deps): bump joi from 17.13.4 to 17.13.7 in /website (#1597)
  • 24a71c1 Honor unit quantization for float sampling (#1599)
  • 49c8f30 Compute trial averages from per-metric report counts (#1601)
  • Additional commits viewable in compare view

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Updates the requirements on [flaml](https://github.com/microsoft/FLAML) to permit the latest version.
- [Release notes](https://github.com/microsoft/FLAML/releases)
- [Commits](microsoft/FLAML@v0.1.0...v2.7.0)

---
updated-dependencies:
- dependency-name: flaml
  dependency-version: 2.7.0
  dependency-type: direct:development
...

Signed-off-by: dependabot[bot] <support@github.com>
Copilot AI balanced review requested due to automatic review settings October 14, 2026 21:18
@dependabot
dependabot Bot requested a review from a team as a code owner October 14, 2026 21:18
@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Oct 14, 2026

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🔵 Needs a closer look

No concrete defects were identified, but compatibility with the newly permitted FLAML versions remains unverified.

0 open findings

What changed in this PR

Expands the FLAML versions permitted by the optional integration in mlos_core.

Changes:

  • Raises the FLAML upper bound from <2.6.0 to <2.8.0, allowing versions 2.6 and 2.7.
File Description
mlos_core/​setup.py Widens the optional FLAML dependency range.

🧠 Review effort: Balanced


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