diff --git a/src/glum/_glm.py b/src/glum/_glm.py
index 2ace19a8..0d962dd1 100644
--- a/src/glum/_glm.py
+++ b/src/glum/_glm.py
@@ -44,17 +44,6 @@
     column_or_1d,
 )
 
-if hasattr(sklearn.utils.validation, "validate_data"):
-    validate_data = sklearn.utils.validation.validate_data
-else:
-    validate_data = BaseEstimator._validate_data
-
-if hasattr(sklearn.utils.validation, "_check_n_features"):
-    _check_n_features = sklearn.utils.validation._check_n_features
-else:
-    _check_n_features = BaseEstimator._check_n_features
-
-
 from ._distribution import (
     BinomialDistribution,
     ExponentialDispersionModel,
@@ -89,6 +78,16 @@
 else:
     keyword_finiteness = "ensure_all_finite"
 
+if hasattr(sklearn.utils.validation, "validate_data"):
+    validate_data = sklearn.utils.validation.validate_data
+else:
+    validate_data = BaseEstimator._validate_data
+
+if hasattr(sklearn.utils.validation, "_check_n_features"):
+    _check_n_features = sklearn.utils.validation._check_n_features
+else:
+    _check_n_features = BaseEstimator._check_n_features
+
 _float_itemsize_to_dtype = {8: np.float64, 4: np.float32, 2: np.float16}
 
 VectorLike = Union[np.ndarray, pd.api.extensions.ExtensionArray, pd.Index, pd.Series]