FIX: Ver

mne/decoding/base.py

@@ -19,7 +19,7 @@
 from sklearn.linear_model import LogisticRegression
 from sklearn.metrics import check_scoring
 from sklearn.model_selection import KFold, StratifiedKFold, check_cv
-from sklearn.utils import check_array, get_tags, indexable
+from sklearn.utils import check_array, indexable
 
 from ..parallel import parallel_func
 from ..utils import _pl, logger, verbose, warn
@@ -83,6 +83,8 @@ def __init__(self, model=None):
 
     def __sklearn_tags__(self):
         """Get sklearn tags."""
+        from sklearn.utils import get_tags  # added in 1.6
+
         return get_tags(self.model)
 
     def __getattr__(self, attr):

mne/decoding/search_light.py

@@ -8,7 +8,7 @@
 from sklearn.base import BaseEstimator, MetaEstimatorMixin, TransformerMixin, clone
 from sklearn.metrics import check_scoring
 from sklearn.preprocessing import LabelEncoder
-from sklearn.utils import check_array, get_tags
+from sklearn.utils import check_array
 
 from ..parallel import parallel_func
 from ..utils import ProgressBar, _parse_verbose, array_split_idx, fill_doc, verbose
@@ -63,6 +63,8 @@ def _estimator_type(self):
 
     def __sklearn_tags__(self):
         """Get sklearn tags."""
+        from sklearn.utils import get_tags
+
         tags = super().__sklearn_tags__()
         sub_tags = get_tags(self.base_estimator)
         tags.estimator_type = sub_tags.estimator_type

mne/decoding/tests/test_base.py

@@ -37,7 +37,6 @@
 )
 from sklearn.pipeline import make_pipeline
 from sklearn.preprocessing import StandardScaler
-from sklearn.utils import get_tags
 from sklearn.utils.estimator_checks import parametrize_with_checks
 
 from mne import EpochsArray, create_info
@@ -98,7 +97,7 @@ def test_get_coef():
     assert hasattr(lm_classification, "__sklearn_tags__")
     print(lm_classification.__sklearn_tags__)
     assert is_classifier(lm_classification.model)
-    assert is_classifier(lm_classification), get_tags(lm_classification).estimator_type
+    assert is_classifier(lm_classification)
     assert not is_regressor(lm_classification.model)
     assert not is_regressor(lm_classification)