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@@ -472,7 +472,7 @@ def cal_score_with_back_rate_by_rank_weighting(df, param):
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# 分别的得到sharerate、backrate、K值、return人数的序关系
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# 分别的得到sharerate、backrate、K值、return人数的序关系
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df['rank_by_sharerate'] = df['share_rate'].rank(ascending=0, method='dense')
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df['rank_by_sharerate'] = df['share_rate'].rank(ascending=0, method='dense')
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- df['rank_by_backrate'] = df['backrate'].rank(ascending=0, method='dense')
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+ df['rank_by_backrate'] = df['back_rate'].rank(ascending=0, method='dense')
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df['rank_by_K2'] = df['K2'].rank(ascending=0, method='dense')
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df['rank_by_K2'] = df['K2'].rank(ascending=0, method='dense')
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df['rank_by_logback'] = df['log_back'].rank(ascending=0, method='dense')
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df['rank_by_logback'] = df['log_back'].rank(ascending=0, method='dense')
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