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arun73822
/
Deep_Classifier
connected to https://github.com/arun73822/Deep_Classifier.git

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dvc.yaml 1.7 KB
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  1. stages:
    2. 

  2.   data_ingestion:
    3. 

  3.     cmd: python src/deep_classifier/pipeline/stage01_data_ingestion.py
    4. 

  4.     deps:
    5. 

  5.       - src/deep_classifier/pipeline/stage01_data_ingestion.py
    6. 

  6.       - configs/config.yaml
    7. 

  7.     outs:
    8. 

  8.       - src/deep_classifier/artifact/data_ingestion/extracted_data/PetImages
    9. 

  9.   
    10. 

  10.   prepare_base_model:
    11. 

  11.     cmd: python src/deep_classifier/pipeline/stage02_prepare_base_model.py
    12. 

  12.     deps:
    13. 

  13.       - src/deep_classifier/pipeline/stage02_prepare_base_model.py
    14. 

  14.       - configs/config.yaml
    15. 

  15.     params:
    16. 

  16.       - params_image_size
    17. 

  17.       - include_top
    18. 

  18.       - classes
    19. 

  19.       - weights
    20. 

  20.       - learning_rate
    21. 

  21.     outs:
    22. 

  22.       - src/deep_classifier/artifact/prepare_base_model/base_model
    23. 

  23.       - src/deep_classifier/artifact/prepare_base_model/updated_model
    24. 

  24.   
    25. 

  25.   model_training:
    26. 

  26.     cmd: python src/deep_classifier/pipeline/stage_03_training.py
    27. 

  27.     deps:
    28. 

  28.       - src/deep_classifier/pipeline/stage_03_training.py
    29. 

  29.       - configs/config.yaml
    30. 

  30.       - src/deep_classifier/artifact/prepare_base_model/updated_model
    31. 

  31.       - src/deep_classifier/artifact/data_ingestion/extracted_data/PetImages
    32. 

  32.     params:
    33. 

  33.       - params_image_size
    34. 

  34.       - epochs
    35. 

  35.       - batch_size
    36. 

  36.       - agumentation
    37. 

  37.     outs:
    38. 

  38.       - src/deep_classifier/artifact/prepare_callbacks/model_checkpoint
    39. 

  39.       - src/deep_classifier/artifact/prepare_callbacks/tensorboard_log
    40. 

  40.   
    41. 

  41.   model_evaluation:
    42. 

  42.     cmd: python src/deep_classifier/pipeline/stage_04_model_evaluation.py
    43. 

  43.     deps:
    44. 

  44.       - src/deep_classifier/pipeline/stage_04_model_evaluation.py
    45. 

  45.       - configs/config.yaml
    46. 

  46.       - src/deep_classifier/artifact/trained_model/model.h5
    47. 

  47.       - src/deep_classifier/artifact/data_ingestion/extracted_data/PetImages
    48. 

  48.     params:
    49. 

  49.       - params_image_size
    50. 

  50.       - batch_size
    51. 

  51.     outs:
    52. 

  52.       - src/deep_classifier/artifact/trained_model/model.h5
    53.
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Deep_Classifier is now integrated with your S3 compatible storage!

Delete Storage Key

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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!

Deep_Classifier is now integrated with Azure Cloud Storage!

Delete Storage Key

Are you sure you want to delete this access key?

No
Yes