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DFS_Portfolio_Manager

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Multichem commited on 5 days ago

Commit

63139f0

1 Parent(s): a3d17b1

adjusted own scaling

Files changed (1) hide show

global_func/predict_dupes.py CHANGED Viewed

@@ -579,8 +579,8 @@ def predict_dupes(portfolio, maps_dict, site_var, type_var, Contest_Size, streng
                     lambda row: sum(1 for player in row if player in top_x_ownership_keys), axis=1
                 )
-                portfolio['dupes_calc'] = (portfolio['avg_own_rank'] / 1000) * (Contest_Size / 100) + ((portfolio['salary'] - (50000 - portfolio['Own'])) / 100) - ((49700 - portfolio['salary']) / 100)
-                portfolio['dupes_calc'] = portfolio['dupes_calc'] * dupes_multiplier * (portfolio['Own'] / (100 + (Contest_Size / 1000))) * portfolio['top_x_presence']
                 # Round and handle negative values
                 portfolio['Dupes'] = np.where(
                     np.round(portfolio['dupes_calc'], 0) <= 0,

                     lambda row: sum(1 for player in row if player in top_x_ownership_keys), axis=1
                 )
+                portfolio['dupes_calc'] = (portfolio['avg_own_rank'] / 1000) * (Contest_Size / 100) + ((portfolio['salary'] - (50000 - (portfolio['Own'] * 100))) / 100) - ((49700 - portfolio['salary']) / 100)
+                portfolio['dupes_calc'] = portfolio['dupes_calc'] * dupes_multiplier * ((portfolio['Own'] * 100) / (100 + (Contest_Size / 1000))) * portfolio['top_x_presence']
                 # Round and handle negative values
                 portfolio['Dupes'] = np.where(
                     np.round(portfolio['dupes_calc'], 0) <= 0,