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Update flaml requirement from <2.6.0 to <2.9.0 in /mlos_core - #1060
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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...v2.8.0) --- updated-dependencies: - dependency-name: flaml dependency-version: 2.8.0 dependency-type: direct:development ... Signed-off-by: dependabot[bot] <support@github.com>
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🟢 Approval recommended
The review identifies no active issues with the optional FLAML dependency-range update.
No open issues 🎉
What changed in this PR
Widens the optional FLAML dependency range in mlos_core, allowing newer releases without changing application code.
Changes:
- Raises the FLAML upper bound from
<2.6.0to<2.9.0, permitting the 2.6–2.8 release series while retaining theblendsearchextra.
| File | Description |
|---|---|
mlos_core/setup.py |
Updates the FLAML version constraint in optional dependencies. |
Review effort: Balanced
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Updates the requirements on flaml to permit the latest version.
Release notes
Sourced from flaml's releases.
... (truncated)
Commits
46bce0cUpgrade version to 2.8.0 (#1658)1f8038eFix default R2 target order for time-series scores (#1654)6451614fix: isolate inline Spark trials from the Spark joblib backend (#1657)798cacbbuild(deps): bump joi from 17.13.8 to 17.13.9 in /website (#1653)386ff40fix: make naive and snaive forecasts match their definitions (#1611)b784797fix(automl): safely append training logs (#1615)7e99884fix: compute time_idx in steps for non-monthly panel data (#1636)6347ea5docs: fix dead links in docs, tutorials and tune README (#1651)7618fe6Document the real default of index_col in train_test_split_pyspark (#1646)dee3308Avoid pandas 3.1 deprecations in tabular preprocessing (#1648)Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
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