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zhangbo
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03_predict.sh

03_predict.sh 3.2 KB
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  1. #!/bin/sh
    2. 

  2. set -e
    3. 

  3. set -x
    4. 

  4. 

  5. day=$1
    6. 

  6. train_path=$2
    7. 

  7. model_name=$3
    8. 

  8. output_file=$4
    9. 

  9. bias=$5
    10. 

  10. HADOOP="/opt/apps/HADOOP-COMMON/hadoop-common-current/bin/hadoop"
    11. 

  11. $HADOOP fs -text ${train_path}/${day}/* | /root/sunmingze/alphaFM/bin/fm_predict -m model/$model_name -dim ${bias} -core 8 -out predict/${output_file}_$day.txt
    12. 

  12. cat predict/${output_file}_$day.txt | /root/sunmingze/AUC/AUC
    13. 

  13. 

  14. 

  15. # nohup sh 03_predict.sh 20240707 /dw/recommend/model/43_recsys_train_data/ model_nba8_20240706.txt model_nba8_20240706 8 >p3_model_nba8_20240706.log 2>&1 &
    16. 

  16. # nohup sh 03_predict.sh 20240707 /dw/recommend/model/43_recsys_train_data/ model_nba12_20240706.txt model_nba12_20240706 12 >p3_model_nba12_20240706.log 2>&1 &
    17. 

  17. # nohup sh 03_predict.sh 20240613 /dw/recommend/model/16_train_data/ model_aka8_20240612.txt model_aka8_20240612 8 >p3_model_aka8_12.log 2>&1 &
    18. 

  18. 

  19. 

  20. # nohup sh 03_predict.sh 20240703 /dw/recommend/model/33_ad_train_data_v3/ model_bkb0_v3_20240702.txt model_bkb0_v3_20240702 0 >p3_model_bkb0_v3.log 2>&1 &
    21. 

  21. 

  22. 

  23. 

  24. 

  25. # cat tmpfile | /root/sunmingze/alphaFM/bin/fm_predict -m model/model_bkb0_20240622.txt -dim 0 -core 1 -out tmpfile_out.txt
    26. 

  26. 

  27. 

  28. # nohup sh 03_predict.sh 20240629 /dw/recommend/model/33_for_check_v1/ model_bkb0_20240622.txt v1 0 >v1.log 2>&1 &
    29. 

  29. # nohup sh 03_predict.sh 20240629 /dw/recommend/model/33_for_check_v2/ model_bkb0_20240622.txt v2 0 >v2.log 2>&1 &
    30. 

  30. # nohup sh 03_predict.sh 20240629 /dw/recommend/model/33_for_check_v3/ model_bkb0_20240622.txt v3 0 >v3.log 2>&1 &
    31. 

  31. # nohup sh 03_predict.sh 20240627 /dw/recommend/model/33_for_check_v4/ model_bkb0_20240622.txt v4 0 >v4.log 2>&1 &
    32. 

  32. # nohup sh 03_predict.sh 20240627 /dw/recommend/model/33_for_check_v5/ model_bkb0_20240622.txt v4 0 >v5.log 2>&1 &
    33. 

  33. # nohup sh 03_predict.sh 20240627 /dw/recommend/model/33_for_check_v6/ model_bkb0_20240622.txt v4 0 >v6.log 2>&1 &
    34. 

  34. 

  35. # nohup sh 03_predict.sh 20240626 /dw/recommend/model/17_for_check_v1/ model_aka8_20240608.txt v1 8 >v1.log 2>&1 &
    36. 

  36. # nohup sh 03_predict.sh 20240626 /dw/recommend/model/17_for_check_v2/ model_aka8_20240608.txt v2 8 >v2.log 2>&1 &
    37. 

  37. # nohup sh 03_predict.sh 20240626 /dw/recommend/model/17_for_check_v3/ model_aka8_20240608.txt v3 8 >v3.log 2>&1 &
    38. 

  38. # nohup sh 03_predict.sh 20240626 /dw/recommend/model/17_for_check_v4/ model_aka8_20240608.txt v4 8 >v4.log 2>&1 &
    39. 

  39. # nohup sh 03_predict.sh 20240626 /dw/recommend/model/17_for_check_v5/ model_aka8_20240608.txt v4 8 >v5.log 2>&1 &
    40. 

  40. # nohup sh 03_predict.sh 20240626 /dw/recommend/model/17_for_check_v6/ model_aka8_20240608.txt v4 8 >v6.log 2>&1 &
    41. 

  41. 

  42. 

  43. 

  44. 

  45. # nohup sh 03_predict.sh 20240630 /dw/recommend/model/33_ad_train_data/ model_bkb0_20240622.txt model_bkb0_20240622 0 >p3_model_bkb0.log 2>&1 &
    46. 

  46. # nohup sh 03_predict.sh 20240630 /dw/recommend/model/33_ad_train_data/ model_bkb4_20240620.txt model_bkb4_20240620 4 >p3_model_bkb4.log 2>&1 &
    47. 

  47. # nohup sh 03_predict.sh 20240624 /dw/recommend/model/33_ad_train_data/ model_bkb8_20240622.txt model_bkb8_20240622 8 >p3_model_bkb8.log 2>&1 &
    48. 

  48. # nohup sh 03_predict.sh 20240621 /dw/recommend/model/33_ad_train_data/ model_bkb12_20240620.txt model_bkb12_20240620 12 >p3_model_bkb12.log 2>&1 &
    49. 

  49. # nohup sh 03_predict.sh 20240621 /dw/recommend/model/33_ad_train_data/ model_bkb16_20240620.txt model_bkb16_20240620 16 >p3_model_bkb16.log 2>&1 &
    50.