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VennelaDondapati
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Vennela_AILL

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dvc.yaml 1.8 KB
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  1. stages:
    2. 

  2.   featurization:
    3. 

  3.     cmd: python code/featurization.py
    4. 

  4.     deps:
    5. 

  5.     - code/featurization.py
    6. 

  6.     - data/test_data.csv
    7. 

  7.     - data/train_data.csv
    8. 

  8.     outs:
    9. 

  9.     - data/norm_params.json
    10. 

  10.     - data/processed_test_data.npy
    11. 

  11.     - data/processed_train_data.npy
    12. 

  12.   training:
    13. 

  13.     cmd: python code/train_model.py
    14. 

  14.     deps:
    15. 

  15.     - code/train_model.py
    16. 

  16.     - data/processed_train_data.npy
    17. 

  17.     outs:
    18. 

  18.     - data/model.pkl
    19. 

  19.     metrics:
    20. 

  20.     - metrics/train_metric.json:
    21. 

  21.         cache: false
    22. 

  22.   eval:
    23. 

  23.     cmd: python code/eval.py
    24. 

  24.     deps:
    25. 

  25.     - code/eval.py
    26. 

  26.     - data/model.pkl
    27. 

  27.     - data/processed_test_data.npy
    28. 

  28.     metrics:
    29. 

  29.     - metrics/eval.json:
    30. 

  30.         cache: false
    31. 

  31.   training1:
    32. 

  32.     cmd: python code/train_model.py
    33. 

  33.     deps:
    34. 

  34.     - code/train_model.py
    35. 

  35.     - data/processed_train_data.npy
    36. 

  36.     outs:
    37. 

  37.     - data/model1.pkl
    38. 

  38.     metrics:
    39. 

  39.     - metrics/train_metric1.json:
    40. 

  40.         cache: false
    41. 

  41.   eval1:
    42. 

  42.     cmd: python code/eval.py
    43. 

  43.     deps:
    44. 

  44.     - code/eval.py
    45. 

  45.     - data/model1.pkl
    46. 

  46.     - data/processed_test_data.npy
    47. 

  47.     metrics:
    48. 

  48.     - metrics/eval1.json:
    49. 

  49.         cache: false
    50. 

  50.   training2:
    51. 

  51.     cmd: python code/train_model.py
    52. 

  52.     deps:
    53. 

  53.     - code/train_model.py
    54. 

  54.     - data/processed_train_data.npy
    55. 

  55.     outs:
    56. 

  56.     - data/model2.pkl
    57. 

  57.     metrics:
    58. 

  58.     - metrics/train_metric2.json:
    59. 

  59.         cache: false
    60. 

  60.   eval2:
    61. 

  61.     cmd: python code/eval.py
    62. 

  62.     deps:
    63. 

  63.     - code/eval.py
    64. 

  64.     - data/model2.pkl
    65. 

  65.     - data/processed_test_data.npy
    66. 

  66.     metrics:
    67. 

  67.     - metrics/eval2.json:
    68. 

  68.         cache: false
    69. 

  69.   training3:
    70. 

  70.     cmd: python code/train_model.py
    71. 

  71.     deps:
    72. 

  72.     - code/train_model.py
    73. 

  73.     - data/processed_train_data.npy
    74. 

  74.     outs:
    75. 

  75.     - data/model3.pkl
    76. 

  76.     metrics:
    77. 

  77.     - metrics/train_metric3.json:
    78. 

  78.         cache: false
    79. 

  79.   eval3:
    80. 

  80.     cmd: python code/eval.py
    81. 

  81.     deps:
    82. 

  82.     - code/eval.py
    83. 

  83.     - data/model3.pkl
    84. 

  84.     - data/processed_test_data.npy
    85. 

  85.     metrics:
    86. 

  86.     - metrics/eval3.json:
    87. 

  87.         cache: false
    88.
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Integrate Google Cloud Storage
Use Google Storage
Select bucket
Upload key
Finish

Use Google Cloud Storage!

Browsing data directories saved to Google Cloud Storage is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!

Specify your Google Storage bucket

Service Account Key

Congratulations!

Vennela_AILL is now integrated with Google Cloud Storage!

Delete Storage Key

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Yes
Integrate AWS S3
Use S3 remote
Select bucket
Access key
Finish

Use AWS S3 as storage!

Browsing data directories saved to S3 is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!

Specify your S3 bucket

Access key (If needed)

Congratulations!

Vennela_AILL is now integrated with AWS S3!

Delete Storage Key

Are you sure you want to delete this access key?

No
Yes
Integrate S3 compatible storage
Use S3 like remote
Select bucket
Access key
Finish

Use any S3 compatible storage!

Browsing data directories saved to S3 compatible storage is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!

Specify your S3 bucket

Access key (If needed)

Congratulations!

Vennela_AILL is now integrated with your S3 compatible storage!

Delete Storage Key

Are you sure you want to delete this access key?

No
Yes
Integrate Azure Cloud Storage
Use Azure Storage
Select bucket
Set key
Finish

Use Azure Cloud Storage!

Browsing data directories saved to Azure Cloud Storage is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!

Specify your Azure Storage bucket

Access key (If needed)

Congratulations!

Vennela_AILL is now integrated with Azure Cloud Storage!

Delete Storage Key

Are you sure you want to delete this access key?

No
Yes