Float rounds are adjusted & case sensitivity in eval metrics is removed

[ozguraslank]

Explanation

• Rounding the float metrics changed from 4 to 6 #8e30c5a

• Case sensitivity in eval metrics is removed. e.g. Typing 'RMSE' instead of 'rmse' or 'Accuracy' instead of 'accuracy' would raise error #8e30c5a

[ozguraslank]

The reason of the last commit's fail is because of scikit-learn library's deprecated sklearn_tags attribute

tests/test_ml_models.py::TestMLModels::test_classification_ml_models_01_XGBClassifier
/opt/hostedtoolcache/Python/3.11.10/x64/lib/python3.11/site-packages/sklearn/utils/_tags.py:354: FutureWarning: The XGBClassifier or classes from which it inherits use _get_tags and _more_tags. Please define the __sklearn_tags__ method, or inherit from sklearn.base.BaseEstimator and/or other appropriate mixins such as sklearn.base.TransformerMixin, sklearn.base.ClassifierMixin, sklearn.base.RegressorMixin, and sklearn.base.OutlierMixin. From scikit-learn 1.7, not defining __sklearn_tags__ will raise an error.

Even though scikit-learn tells us this attribute will raise error starting from 1.7, It gives error in 1.6.

In order to resolve this problem for now, FlexML's scikit-learn version will be limited to <=1.5.2.

Related:

• MAINT conversion old->new/new->old tags (bis) scikit-learn/scikit-learn#30327
• Adapt to scikit-learn 1.6 estimator tag changes dmlc/xgboost#11021