فهرست منبع

feat:添加评估结果分析脚本

zhaohaipeng 6 ماه پیش
والد
کامیت
035ecc4aad
1فایلهای تغییر یافته به همراه20 افزوده شده و 19 حذف شده
  1. 20 19
      ad/01_ad_model_update.sh

+ 20 - 19
ad/01_ad_model_update.sh

@@ -142,23 +142,24 @@ check_ad_hive() {
 
 xgb_train() {
   local step_start_time=$(date +%s)
-  /opt/apps/SPARK3/spark-3.3.1-hadoop3.2-1.0.5/bin/spark-class org.apache.spark.deploy.SparkSubmit  \
-  --class com.tzld.piaoquan.recommend.model.train_01_xgb_ad_20240808  \
-  --master yarn --driver-memory 6G --executor-memory 9G --executor-cores 1 --num-executors 31  \
-  --conf spark.yarn.executor.memoryoverhead=1000  \
-  --conf spark.shuffle.service.enabled=true  \
-  --conf spark.shuffle.service.port=7337  \
-  --conf spark.shuffle.consolidateFiles=true  \
-  --conf spark.shuffle.manager=sort  \
-  --conf spark.storage.memoryFraction=0.4  \
-  --conf spark.shuffle.memoryFraction=0.5  \
-  --conf spark.default.parallelism=200  \
-  /root/zhangbo/recommend-model/recommend-model-produce/target/recommend-model-produce-jar-with-dependencies.jar  \
-  featureFile:20240703_ad_feature_name.txt  \
-  trainPath:${train_data_path}  \
-  testPath:${predict_date_path}  \
-  savePath:${new_model_predict_result_path}  \
-  modelPath:${model_save_path}  \
+
+  /opt/apps/SPARK3/spark-3.3.1-hadoop3.2-1.0.5/bin/spark-class org.apache.spark.deploy.SparkSubmit \
+  --class com.tzld.piaoquan.recommend.model.train_01_xgb_ad_20240808 \
+  --master yarn --driver-memory 6G --executor-memory 9G --executor-cores 1 --num-executors 31 \
+  --conf spark.yarn.executor.memoryoverhead=1000 \
+  --conf spark.shuffle.service.enabled=true \
+  --conf spark.shuffle.service.port=7337 \
+  --conf spark.shuffle.consolidateFiles=true \
+  --conf spark.shuffle.manager=sort \
+  --conf spark.storage.memoryFraction=0.4 \
+  --conf spark.shuffle.memoryFraction=0.5 \
+  --conf spark.default.parallelism=200 \
+  /root/zhangbo/recommend-model/recommend-model-produce/target/recommend-model-produce-jar-with-dependencies.jar \
+  featureFile:20240703_ad_feature_name.txt \
+  trainPath:${train_data_path} \
+  testPath:${predict_date_path} \
+  savePath:${new_model_predict_result_path} \
+  modelPath:${model_save_path} \
   eta:0.01 gamma:0.0 max_depth:5 num_round:1000 num_worker:30 repartition:20
 
   local return_code=$?
@@ -180,7 +181,7 @@ model_predict() {
   --conf spark.storage.memoryFraction=0.4 \
   --conf spark.shuffle.memoryFraction=0.5 \
   --conf spark.default.parallelism=200 \
-  /root/zhangbo/recommend-model/recommend-model-produce/target/recommend-model-produce-jar-with-dependencies.jar  \
+  /root/zhangbo/recommend-model/recommend-model-produce/target/recommend-model-produce-jar-with-dependencies.jar \
   featureFile:20240703_ad_feature_name.txt \
   testPath:${predict_date_path} \
   savePath:${online_model_predict_result_path} \
@@ -223,7 +224,7 @@ model_upload_oss() {
 main() {
   init
 
-  check_ad_hive
+  # check_ad_hive
 
   xgb_train