James McCool
commited on
Commit
·
50fa4f0
1
Parent(s):
c7e2afa
Fix typo in geometric mean calculation in predict_dupes: rename 'Goemean' to 'Geomean' for consistency and clarity in portfolio analysis.
Browse files
global_func/predict_dupes.py
CHANGED
@@ -183,7 +183,7 @@ def predict_dupes(portfolio, maps_dict, site_var, type_var, Contest_Size, streng
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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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portfolio['Weighted Own'] = (portfolio['Own'] * ((portfolio[own_columns].max(axis=1) - portfolio[own_columns].min(axis=1)) / 100)) * 200
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-
portfolio['
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portfolio = portfolio.drop(columns=dup_count_columns)
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portfolio = portfolio.drop(columns=own_columns)
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portfolio = portfolio.drop(columns=calc_columns)
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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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portfolio['Weighted Own'] = (portfolio['Own'] * ((portfolio[own_columns].max(axis=1) - portfolio[own_columns].min(axis=1)) / 100)) * 200
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+
portfolio['Geomean'] = np.power((portfolio[own_columns] * 100).product(axis=1), 1 / len(own_columns))
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portfolio = portfolio.drop(columns=dup_count_columns)
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portfolio = portfolio.drop(columns=own_columns)
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portfolio = portfolio.drop(columns=calc_columns)
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