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				@@ -38,18 +38,21 @@ def get_threshold_record_new(ad_abtest_abcode_config, feature_df, threshold_reco 
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				             if len(ab_code_list) > 0: 
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				                 b_mean = temp_df[temp_df['adcode'].isin(ab_code_list)]['b'].mean() 
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				                 if b_mean < 0: 
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				-                    # 阈值调高 
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				-                    threshold_param_new = float(threshold_record.get(ad_abtest_tag)) + threshold_update 
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				+                    # 阈值按梯度调高 
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				+                    b_i = (b_mean * -1)//0.05 + 1 
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				+                    threshold_param_new = float(threshold_record.get(ad_abtest_tag)) + threshold_update * b_i 
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				                 elif b_mean > 0.1: 
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				                     # 阈值调低 
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				                     threshold_param_new = float(threshold_record.get(ad_abtest_tag)) - threshold_update 
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				+                    b_i = 1 
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				                 else: 
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				                     continue 
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				                 if threshold_param_new > 0: 
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				                     threshold_record_new[ad_abtest_tag] = threshold_param_new 
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				                     robot_msg_record.append({'appType': app_type, 'ad_abtest_tag': ad_abtest_tag, 
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				-                                             'param_old': float(threshold_record.get(ad_abtest_tag)), 
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				-                                             'param_new': threshold_param_new}) 
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				+                                             'b_i': int(b_i), 'gradient': round(threshold_update, 4), 
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				+                                             'param_old': round(float(threshold_record.get(ad_abtest_tag)), 4), 
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				+                                             'param_new': round(threshold_param_new, 4)}) 
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				     return threshold_record_new, robot_msg_record 
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