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cuda docs
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sronilsson committed Sep 3, 2024
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1 change: 0 additions & 1 deletion simba/mixins/train_model_mixin.py
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Expand Up @@ -681,7 +681,6 @@ def create_x_importance_log(self,
importances = list(self.cuml_rf_x_importances(nodes=cuml_tree_nodes, n_features=len(x_names)))
std_importances = [np.nan] * len(importances)
else:
print('s')
importances_per_tree = np.array([tree.feature_importances_ for tree in rf_clf.estimators_])
importances = list(np.mean(importances_per_tree, axis=0))
std_importances = list(np.std(importances_per_tree, axis=0))
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