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app-store-optimization/skills/loki-mode/benchmarks/results/2026-01-05-10-37-54/swebench-loki-patches/scikit-learn__scikit-learn-13497.patch

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# scikit-learn__scikit-learn-13497
# Loki Mode Multi-Agent Patch
# Attempts: 1
--- a/sklearn/feature_selection/_mutual_info.py
+++ b/sklearn/feature_selection/_mutual_info.py
@@ -1,6 +1,7 @@
# Author: Nikolay Mayorov <n59_ru@hotmail.com>
# License: 3-clause BSD
+import numpy as np
from sklearn.metrics.cluster import mutual_info_score
from sklearn.neighbors import NearestNeighbors
from sklearn.preprocessing import scale
@@ -47,7 +48,7 @@ def _estimate_mi(X, y, discrete_features='auto', discrete_target=False,
n_samples, n_features = X.shape
# Determine discrete features
- if discrete_features == 'auto':
+ if isinstance(discrete_features, str) and discrete_features == 'auto':
discrete_mask = np.zeros(n_features, dtype=bool)
for i in range(n_features):
if np.issubdtype(X[:, i].dtype, np.integer):