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avatar rahulkumar7759
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Chest-Cancer-Classification-using-MLOPS
connected to https://github.com/rahulkumar7759/Chest-Cancer-Classification-using-MLOPS.git

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  1. stages:
    2. 

  2.   data_ingestion:
    3. 

  3.     cmd: python src/cnnClassifier/pipeline/stage_01_data_ingestion.py
    4. 

  4.     deps:
    5. 

  5.       - src/cnnClassifier/pipeline/stage_01_data_ingestion.py
    6. 

  6.       - config/config.yaml
    7. 

  7.     outs:
    8. 

  8.       - artifacts/data_ingestion/Chest-CT-Scan-data
    9. 

  9. 

  10. 

  11. ## Base Models 
    12. 

  12. 

  13.   prepare_base_model:
    14. 

  14.     cmd: python src/cnnClassifier/pipeline/stage_02_prepare_base_model.py
    15. 

  15.     deps:
    16. 

  16.       - src/cnnClassifier/pipeline/stage_02_prepare_base_model.py
    17. 

  17.       - config/config.yaml
    18. 

  18.     params:
    19. 

  19.       - IMAGE_SIZE
    20. 

  20.       - INCLUDE_TOP
    21. 

  21.       - CLASSES
    22. 

  22.       - WEIGHTS
    23. 

  23.       - LEARNING_RATE
    24. 

  24.     outs:
    25. 

  25.       - artifacts/prepare_base_model
    26. 

  26. ## train the models and train the trainiing parameters
    27. 

  27. 

  28.   training:
    29. 

  29.     cmd: python src/cnnClassifier/pipeline/stage_03_model_trainer.py
    30. 

  30.     deps:
    31. 

  31.       - src/cnnClassifier/pipeline/stage_03_model_trainer.py
    32. 

  32.       - config/config.yaml
    33. 

  33.       - artifacts/data_ingestion/Chest-CT-Scan-data
    34. 

  34.       - artifacts/prepare_base_model
    35. 

  35.     params:
    36. 

  36.       - IMAGE_SIZE
    37. 

  37.       - EPOCHS
    38. 

  38.       - BATCH_SIZE
    39. 

  39.       - AUGMENTATION
    40. 

  40.     outs:
    41. 

  41.       - artifacts/training/model.h5
    42. 

  42. 

  43.       
    44. 

  44.   ## Evaluation of models
    45. 

  45. 

  46.   evaluation:
    47. 

  47.     cmd: python src/cnnClassifier/pipeline/stage_04_model_evaluation.py
    48. 

  48.     deps:
    49. 

  49.       - src/cnnClassifier/pipeline/stage_04_model_evaluation.py
    50. 

  50.       - config/config.yaml
    51. 

  51.       - artifacts/data_ingestion/Chest-CT-Scan-data
    52. 

  52.       - artifacts/training/model.h5
    53. 

  53.     params:
    54. 

  54.       - IMAGE_SIZE
    55. 

  55.       - BATCH_SIZE
    56. 

  56.     metrics:
    57. 

  57.     - scores.json:
    58. 

  58.         cache: false
    59. 

  59.
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