❌ Linting issues

This PR is introducing linting issues. Here's a summary of the issues. Note that you can avoid having linting issues by enabling pre-commit hooks. Instructions to enable them can be found here.

You can see the details of the linting issues under the lint job here

ruff check

ruff detected issues. Please run ruff check --fix --output-format=full locally, fix the remaining issues, and push the changes. Here you can see the detected issues. Note that the installed ruff version is ruff=0.11.7.

sklearn/ensemble/_forest.py:1212:89: E501 Line too long (93 > 88)
     |
1210 |         "gini" for the Gini impurity and "log_loss" and "entropy" both for the
1211 |         Shannon information gain, see :ref:`tree_mathematical_formulation`.
1212 |         Note: This parameter is passed to the underlying "DecisionTreeClassifier" estimators.
     |                                                                                         ^^^^^ E501
1213 |
1214 |     max_depth : int, default=None
     |

Found 1 error.

_{Generated for commit: ede0d12. Link to the linter CI: here}