James McCool
commited on
Commit
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1afc466
1
Parent(s):
069adbe
Add 'Product Own' calculation to portfolio in predict_dupes.py
Browse files
global_func/predict_dupes.py
CHANGED
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@@ -181,6 +181,7 @@ def predict_dupes(portfolio, maps_dict, site_var, type_var, Contest_Size, streng
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| 181 |
portfolio['Lineup Edge'] = portfolio['Win%'] * ((.5 - portfolio['Finish_percentile']) * (Contest_Size / 2.5))
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| 182 |
portfolio['Lineup Edge'] = portfolio.apply(lambda row: row['Lineup Edge'] / (row['Dupes'] + 1) if row['Dupes'] > 0 else row['Lineup Edge'], axis=1)
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| 183 |
portfolio['Lineup Edge'] = portfolio['Lineup Edge'] - portfolio['Lineup Edge'].mean()
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| 184 |
portfolio = portfolio.drop(columns=dup_count_columns)
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| 185 |
portfolio = portfolio.drop(columns=own_columns)
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| 186 |
portfolio = portfolio.drop(columns=calc_columns)
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portfolio['Lineup Edge'] = portfolio['Win%'] * ((.5 - portfolio['Finish_percentile']) * (Contest_Size / 2.5))
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| 182 |
portfolio['Lineup Edge'] = portfolio.apply(lambda row: row['Lineup Edge'] / (row['Dupes'] + 1) if row['Dupes'] > 0 else row['Lineup Edge'], axis=1)
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portfolio['Lineup Edge'] = portfolio['Lineup Edge'] - portfolio['Lineup Edge'].mean()
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| 184 |
+
portfolio['Product Own'] = portfolio[own_columns].product(axis=1)
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| 185 |
portfolio = portfolio.drop(columns=dup_count_columns)
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| 186 |
portfolio = portfolio.drop(columns=own_columns)
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portfolio = portfolio.drop(columns=calc_columns)
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