Update flaml requirement from <2.2.0 to <2.3.0 in /mlos_core #843
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Updates the requirements on flaml to permit the latest version.
Release notes
Sourced from flaml's releases.
Commits
7729855
Bump version to 2.2.0 (#1329)0fe284b
Doc and comment typos improvements (#1319)853c950
Keep searching hyperparameters whenr2_score
raises an error (#1325)8e63dd4
Don't passcallbacks=None
toXGBoostSklearnEstimator._fit
(#1322)f27f98c
Fix test mac os python 3.11 (#1328)a68d073
Add support to python 3.11 (#1326)15fda22
Add example of how to get best config and convert it to parameters (#1323)a9d7b7f
Handle IntLogUniformDistribution Deprecation before Optuna<=v4.0.0 (#1324)d24d2e0
Upgrade Optuna (#1321)67f4048
Update ts_model.py (#1312)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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