Update cebra/integrations/sklearn/utils.py

Co-authored-by: Steffen Schneider <[email protected]>

Author: icarosadero

cebra/integrations/sklearn/utils.py

@@ -84,35 +84,18 @@ def check_input_array(X: npt.NDArray, *, min_samples: int) -> npt.NDArray:
     Returns:
         The converted and validated array.
     """
-
-    if sklearn_version < version.parse("1.8"):
-        return sklearn_utils_validation.check_array(
-            X,
-            accept_sparse=False,
-            accept_large_sparse=False,
-            dtype=("float16", "float32", "float64"),
-            order=None,
-            copy=False,
-            force_all_finite=True,
-            ensure_2d=True,
-            allow_nd=False,
-            ensure_min_samples=min_samples,
-            ensure_min_features=1,
-        )
-    else:
-        return sklearn_utils_validation.check_array(
-            X,
-            accept_sparse=False,
-            accept_large_sparse=False,
-            dtype=("float16", "float32", "float64"),
-            order=None,
-            copy=False,
-            ensure_all_finite=True,
-            ensure_2d=True,
-            allow_nd=False,
-            ensure_min_samples=min_samples,
-            ensure_min_features=1,
-        )
+    return _check_array_ensure_all_finite(
+          X,
+          accept_sparse=False,
+          accept_large_sparse=False,
+          dtype=("float16", "float32", "float64"),
+          order=None,
+          copy=False,
+          ensure_2d=True,
+          allow_nd=False,
+          ensure_min_samples=min_samples,
+          ensure_min_features=1,
+      )
 
 
 def check_label_array(y: npt.NDArray, *, min_samples: int):