@@ -126,7 +126,7 @@ def rank_for_layer1(run_dt, run_hour, project, table, gh):
np.random.seed(int(dt_version) + 1)
# TODO: 修改权重计算策略
- df['score'] = df['ros']
+ df['score'] = 1.0
# 按照 category1 分类后进行加权随机抽样
sampled_df = df.groupby('category1').apply(
lambda x: x.sample(n=SEND_N, weights=x['score'], replace=False)).reset_index(drop=True)
@@ -149,7 +149,7 @@ def rank_for_layer1(run_dt, run_hour, project, table, gh_df):