Navie lint repair

lint-errors.xml

<lint-errors>
sklearn/utils/validation.py:485:26: F821 undefined name 'pd'
</lint-errors>
<diff>--- /home/runner/work/SWE-bench/SWE-bench/logs/solve/scikit-learn__scikit-learn-14878/2/diff/sklearn_utils_validation.py/pre/base	2024-06-15 20:45:28.079868186 +0000
+++ /home/runner/work/SWE-bench/SWE-bench/logs/solve/scikit-learn__scikit-learn-14878/2/diff/sklearn_utils_validation.py/pre/updated	2024-06-15 20:45:28.079868186 +0000
@@ -338,8 +338,7 @@
                 dtype="numeric", order=None, copy=False, force_all_finite=True,
                 ensure_2d=True, allow_nd=False, ensure_min_samples=1,
                 ensure_min_features=1, warn_on_dtype=None, estimator=None):
-
-    """Input validation on an array, list, sparse matrix or similar.
+    """Input validation on an array, list, sparse matrix, or pandas DataFrame.
 
     By default, the input is checked to be a non-empty 2D array containing
     only finite values. If the dtype of the array is object, attempt
@@ -483,6 +482,10 @@
         estimator_name = "Estimator"
     context = " by %s" % estimator_name if estimator is not None else ""
 
+    if isinstance(array, pd.DataFrame):
+        # Convert DataFrame to numpy array
+        array = array.values
+        
     if sp.issparse(array):
         _ensure_no_complex_data(array)
         array = _ensure_sparse_format(array, accept_sparse=accept_sparse,

</diff>
<file>
<path>sklearn/utils/validation.py
</path>
<content>
479:         else:
480:             estimator_name = estimator.__class__.__name__
481:     else:
482:         estimator_name = "Estimator"
483:     context = " by %s" % estimator_name if estimator is not None else ""
484: 
485:     if isinstance(array, pd.DataFrame):
486:         # Convert DataFrame to numpy array
487:         array = array.values
488:         
489:     if sp.issparse(array):
490:         _ensure_no_complex_data(array)
491:         array = _ensure_sparse_format(array, accept_sparse=accept_sparse,
492:                                       dtype=dtype, copy=copy,

</content>
</file>