25_ad_model_new_train.sh 1.4 KB

1234567891011121314151617181920212223242526272829303132333435363738394041424344454647
  1. #!/bin/sh
  2. # 重新训练模型
  3. set -x
  4. begin_date=$1
  5. end_date=$2
  6. model_name=$3
  7. train_dim=$4
  8. hdfs_path=$5
  9. PROJECT_HOME=/root/zhaohp/recommend-emr-dataprocess
  10. HADOOP=/opt/apps/HADOOP-COMMON/hadoop-common-current/bin/hadoop
  11. MODEL_PATH=${PROJECT_HOME}/model/ad
  12. PREDICT_PATH=${PROJECT_HOME}/predict
  13. FM_TRAIN=/root/sunmingze/alphaFM/bin/fm_train
  14. train_date=$begin_date
  15. main() {
  16. end_date=$(date -d "$end_date +1 day" +%Y%m%d)
  17. # 增量训练模型
  18. while [ "$train_date" != "$end_date" ]; do
  19. echo "==================== 开始训练 $train_date 模型 ===================="
  20. if [ "$train_date" == "$begin_date" ]; then
  21. $HADOOP fs -text ${HDFS_TRAIN_DATE_PATH}/${train_date}/* | ${FM_TRAIN} -m ${MODEL_PATH}/${model_name}_${train_date}.txt -dim ${train_dim} -core 8
  22. else
  23. yesterday=$(date -d "$train_date -1 day" +%Y%m%d)
  24. $HADOOP fs -text ${HDFS_TRAIN_DATE_PATH}/${train_date}/* | ${FM_TRAIN} -m ${MODEL_PATH}/${model_name}_${train_date}.txt -dim ${train_dim} -core 8 -im ${MODEL_PATH}/${model_name}_${yesterday}.txt
  25. fi
  26. echo -e "==================== 训练 $train_date 模型结束 ====================\n\n\n\n\n\n"
  27. train_date=$(date -d "$train_date +1 day" +%Y%m%d)
  28. done
  29. }
  30. main
  31. # nohup ./ad/25_ad_model_new_train.sh 20240725 20240804 model_bkb8_v55 1,1,8 /dw/recommend/model/33_ad_train_data_v4/20240725/ > logs/25_ad_model_new_train.log 2>&1 &