Update RankStrategyBy683: change model to model_xgb_351_1000_14d_v1

ad-engine-server/src/main/resources/ad_score_config_xgboost_683.conf

@@ -2,6 +2,6 @@ scorer-config = {
   xgb-score-config = {
     scorer-name = "com.tzld.piaoquan.ad.engine.service.score.scorer.XGBoostScorer683"
     scorer-priority = 99
-    model-path = "zhangbo/model_xgb_351_1000_v2.tar.gz"
+    model-path = "fengzhoutian/model_xgb_351_1000_14d_v1.tar.gz"
   }
-}
+}

ad-engine-service/src/main/java/com/tzld/piaoquan/ad/engine/service/score/strategy/RankStrategyBy683.java

@@ -215,7 +215,6 @@ public class RankStrategyBy683 extends RankStrategyBasic {
         long time5 = System.currentTimeMillis();
 
         // calibrate score for negative sampling
-        /* 02-11 update: 因模型换回基线无采样模型，取消校准
         for (AdRankItem item : result) {
             double originalScore = item.getLrScore();
             double calibratedScore = originalScore / (originalScore + (1 - originalScore) / negSampleRate);
@@ -223,7 +222,6 @@ public class RankStrategyBy683 extends RankStrategyBasic {
             item.getScoreMap().put("originCtcvrScore", originalScore);
             item.getScoreMap().put("ctcvrScore", calibratedScore);
         }
-        */
 
         // loop
         double cpmCoefficient = weightParam.getOrDefault("cpmCoefficient", 0.9);
@@ -659,4 +657,4 @@ public class RankStrategyBy683 extends RankStrategyBasic {
         return newFeatureMap;
     }
 
-}
+}