Upgrade scikit-learn to 1.5.0

Gongsta · Jul 2, 2024 · c0014c1 · c0014c1
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diff --git a/kmeans_data/centroids/flop/centroids_1719903872_samples=10000_bins=10.npy b/kmeans_data/centroids/flop/centroids_1719903872_samples=10000_bins=10.npy
diff --git a/kmeans_data/centroids/turn/centroids_1719904417_samples=10000_bins=10.npy b/kmeans_data/centroids/turn/centroids_1719904417_samples=10000_bins=10.npy
diff --git a/kmeans_data/kmeans/flop/kmeans_1719903872_samples=10000_bins=10.joblib b/kmeans_data/kmeans/flop/kmeans_1719903872_samples=10000_bins=10.joblib
diff --git a/kmeans_data/kmeans/turn/kmeans_1719904417_samples=10000_bins=10.joblib b/kmeans_data/kmeans/turn/kmeans_1719904417_samples=10000_bins=10.joblib
diff --git a/requirements.txt b/requirements.txt
@@ -4,5 +4,5 @@ treys # to validate that our own implementation of hand evaluation works, but ph
 joblib # parallel computation and store models
 phevaluator # fast poker hand evaluator using string representation of cards
 matplotlib
-scikit-learn
+scikit-learn==1.5.0
 py3-tts