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 index 2760b01..62e25d5 100644 Binary files a/kmeans_data/centroids/flop/centroids_1719903872_samples=10000_bins=10.npy and b/kmeans_data/centroids/flop/centroids_1719903872_samples=10000_bins=10.npy differ 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 index 262e820..97a33de 100644 Binary files a/kmeans_data/centroids/turn/centroids_1719904417_samples=10000_bins=10.npy and b/kmeans_data/centroids/turn/centroids_1719904417_samples=10000_bins=10.npy differ 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 index bdadaf9..f4e0f8f 100644 Binary files a/kmeans_data/kmeans/flop/kmeans_1719903872_samples=10000_bins=10.joblib and b/kmeans_data/kmeans/flop/kmeans_1719903872_samples=10000_bins=10.joblib differ 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 index a63ab39..9084bf6 100644 Binary files a/kmeans_data/kmeans/turn/kmeans_1719904417_samples=10000_bins=10.joblib and b/kmeans_data/kmeans/turn/kmeans_1719904417_samples=10000_bins=10.joblib differ diff --git a/requirements.txt b/requirements.txt index d936ca4..668a1a0 100644 --- 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