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DFS_Portfolio_Manager

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James McCool commited on Sep 7, 2025

Commit

b4a377f

1 Parent(s): ebc0082

Update diversity score calculation to use chunked processing for improved performance in predict_dupes.py

Files changed (1) hide show

global_func/predict_dupes.py CHANGED Viewed

@@ -429,7 +429,7 @@ def predict_dupes(portfolio, maps_dict, site_var, type_var, Contest_Size, streng
     portfolio['Geomean'] = np.power((portfolio[own_columns] * 100).product(axis=1), 1 / len(own_columns))
     # Calculate similarity score based on actual player selection
-    portfolio['Diversity'] = calculate_player_similarity_score_vectorized(portfolio, player_columns)
     # check_portfolio = portfolio.copy()
     portfolio = portfolio.drop(columns=dup_count_columns)
     portfolio = portfolio.drop(columns=own_columns)

     portfolio['Geomean'] = np.power((portfolio[own_columns] * 100).product(axis=1), 1 / len(own_columns))
     # Calculate similarity score based on actual player selection
+    portfolio['Diversity'] = calculate_player_similarity_score_chunked(portfolio, player_columns)
     # check_portfolio = portfolio.copy()
     portfolio = portfolio.drop(columns=dup_count_columns)
     portfolio = portfolio.drop(columns=own_columns)