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avatar Towet-Tum
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Malaria-Cell-Classification
connected to https://github.com/Towet-Tum/Malaria-Cell-Classification.git

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  1. schema: '2.0'
    2. 

  2. stages:
    3. 

  3.   data_ingestion:
    4. 

  4.     cmd: python src/MalariaClassifier/pipeline/stage_01_data_ingestion.py
    5. 

  5.     deps:
    6. 

  6.     - path: config/config.yaml
    7. 

  7.       hash: md5
    8. 

  8.       md5: 4a4f508ec433b343f30e4584309c1585
    9. 

  9.       size: 450
    10. 

  10.     - path: src/MalariaClassifier/pipeline/stage_01_data_ingestion.py
    11. 

  11.       hash: md5
    12. 

  12.       md5: 6bc2d6d755850cd662e76fdd2e65fa85
    13. 

  13.       size: 928
    14. 

  14.     outs:
    15. 

  15.     - path: artifacts/data_ingestion/dataset
    16. 

  16.       hash: md5
    17. 

  17.       md5: 033718d30fdd3ebaf9425fc6a15fde14.dir
    18. 

  18.       size: 350952589
    19. 

  19.       nfiles: 27560
    20. 

  20.   training:
    21. 

  21.     cmd: python src/MalariaClassifier/pipeline/stage_02_training.py
    22. 

  22.     deps:
    23. 

  23.     - path: artifacts/data_ingestion/dataset
    24. 

  24.       hash: md5
    25. 

  25.       md5: 033718d30fdd3ebaf9425fc6a15fde14.dir
    26. 

  26.       size: 350952589
    27. 

  27.       nfiles: 27560
    28. 

  28.     - path: config/config.yaml
    29. 

  29.       hash: md5
    30. 

  30.       md5: 4a4f508ec433b343f30e4584309c1585
    31. 

  31.       size: 450
    32. 

  32.     - path: params.yaml
    33. 

  33.       hash: md5
    34. 

  34.       md5: acb41bf09d1b1adaa96954042c671c8d
    35. 

  35.       size: 97
    36. 

  36.     - path: src/MalariaClassifier/pipeline/stage_02_training.py
    37. 

  37.       hash: md5
    38. 

  38.       md5: 5b5c2f062774b4a85f126e755d570879
    39. 

  39.       size: 801
    40. 

  40.     outs:
    41. 

  41.     - path: artifacts/training/xception_model.h5
    42. 

  42.       hash: md5
    43. 

  43.       md5: 91fd2bde4bd826f502b9fe8d98c22ccd
    44. 

  44.       size: 85300496
    45. 

  45.   evalution:
    46. 

  46.     cmd: python src/MalariaClassifier/pipeline/stage_03_evalution.py
    47. 

  47.     deps:
    48. 

  48.     - path: artifacts/data_ingestion/dataset
    49. 

  49.       hash: md5
    50. 

  50.       md5: 033718d30fdd3ebaf9425fc6a15fde14.dir
    51. 

  51.       size: 350952589
    52. 

  52.       nfiles: 27560
    53. 

  53.     - path: artifacts/training/xception_model.h5
    54. 

  54.       hash: md5
    55. 

  55.       md5: 91fd2bde4bd826f502b9fe8d98c22ccd
    56. 

  56.       size: 85300496
    57. 

  57.     - path: config/config.yaml
    58. 

  58.       hash: md5
    59. 

  59.       md5: 4a4f508ec433b343f30e4584309c1585
    60. 

  60.       size: 450
    61. 

  61.     - path: params.yaml
    62. 

  62.       hash: md5
    63. 

  63.       md5: acb41bf09d1b1adaa96954042c671c8d
    64. 

  64.       size: 97
    65. 

  65.     - path: src/MalariaClassifier/pipeline/stage_03_evalution.py
    66. 

  66.       hash: md5
    67. 

  67.       md5: e207fd3ba3765807f15336d836ea5861
    68. 

  68.       size: 878
    69. 

  69.     outs:
    70. 

  70.     - path: scores.json
    71. 

  71.       hash: md5
    72. 

  72.       md5: ebebe23ac6d88d15e1ade15bac4a8a7d
    73. 

  73.       size: 71
    74.
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Specify your Azure Storage bucket

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Congratulations!

Malaria-Cell-Classification is now integrated with Azure Cloud Storage!

Delete Storage Key

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