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itzmeakashps
/
Healthy.ai
connected to https://github.com/ItzmeAkash/Healthy.ai.git

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dvc.yaml 2.4 KB
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  1. stages:
    2. 

  2.   diet_recommendation_data_ingestion:
    3. 

  3.     cmd: python src/Healthyai/pipeline/stage_01_diet_recomd_data_ingestion.py
    4. 

  4.     deps:
    5. 

  5.       - src/Healthyai/pipeline/stage_01_diet_recomd_data_ingestion.py
    6. 

  6.       - config/config.yaml
    7. 

  7.     outs:
    8. 

  8.       - artifacts/diet_recomendation/data_ingestion
    9. 

  9. 

  10.   diet_recommendation_data_validation:
    11. 

  11.     cmd: python src/Healthyai/pipeline/stage_02_diet_recomd_data_validation.py
    12. 

  12.     deps:
    13. 

  13.       - src/Healthyai/pipeline/stage_02_diet_recomd_data_validation.py
    14. 

  14.       - config/config.yaml
    15. 

  15.       - schema.yaml
    16. 

  16.     outs:
    17. 

  17.       - artifacts/diet_recomendation/data_validation
    18. 

  18. 

  19.   diet_recommendation_model_trainer:
    20. 

  20.     cmd: python src/Healthyai/pipeline/stage_03_diet_recomd_model_trainer.py
    21. 

  21.     deps: 
    22. 

  22.       - src/Healthyai/pipeline/stage_03_diet_recomd_model_trainer.py
    23. 

  23.       - artifacts/diet_recomendation/data_ingestion/diet_recommendation.csv
    24. 

  24.     params:
    25. 

  25.         - KMeans
    26. 

  26.     outs:
    27. 

  27.       - artifacts/diet_recomendation/model_trainer
    28. 

  28. 

  29.   food_image_data_ingestion:
    30. 

  30.     cmd: python src/Healthyai/pipeline/stage_04_food_classifi_data_ingestion.py
    31. 

  31.     deps:
    32. 

  32.       - src/Healthyai/pipeline/stage_04_food_classifi_data_ingestion.py
    33. 

  33.       - config/config.yaml
    34. 

  34.     outs:
    35. 

  35.       - artifacts/food_image_classification/data_ingestion/food classification
    36. 

  36. 

  37.   food_image_prepare_base_model:
    38. 

  38.     cmd:  python src/Healthyai/pipeline/stage_05_food_classifi_prebasemodel.py
    39. 

  39.     deps: 
    40. 

  40.       - src/Healthyai/pipeline/stage_05_food_classifi_prebasemodel.py
    41. 

  41.       - config/config.yaml
    42. 

  42.     params:
    43. 

  43.       - VGG16
    44. 

  44.     outs:
    45. 

  45.       - artifacts/food_image_classification/prepare_base_model
    46. 

  46. 

  47.   food_image_model_training:
    48. 

  48.     cmd: python src/Healthyai/pipeline/stage_06_food_classifi_training.py
    49. 

  49.     deps:
    50. 

  50.       - src/Healthyai/pipeline/stage_06_food_classifi_training.py
    51. 

  51.       - config/config.yaml
    52. 

  52.       - artifacts/food_image_classification/data_ingestion/food classification
    53. 

  53.       - artifacts/food_image_classification/prepare_base_model
    54. 

  54.     params:
    55. 

  55.       - VGG16
    56. 

  56.     outs:
    57. 

  57.       - artifacts/food_image_classification/training
    58. 

  58. 

  59.   food_image_model_evaluation:
    60. 

  60.     cmd: python src/Healthyai/pipeline/stage_07_food_classifi_evaluation.py
    61. 

  61.     deps:
    62. 

  62.       - src/Healthyai/pipeline/stage_07_food_classifi_evaluation.py
    63. 

  63.       - config/config.yaml
    64. 

  64.       - artifacts/food_image_classification/data_ingestion/food classification
    65. 

  65.       - artifacts/food_image_classification/training/model.h5
    66. 

  66. 

  67.     params:
    68. 

  68.       - VGG16
    69. 

  69.     metrics:
    70. 

  70.     - scores.json:
    71. 

  71.         cache: false
    72. 

  72. 

  73. 

  74.   
    75. 

  75. 

  76.   
    77. 

  77. 

  78.   
    79.
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Integrate Google Cloud Storage
Use Google Storage
Select bucket
Upload key
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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!

Healthy.ai is now integrated with Google Cloud Storage!

Delete Storage Key

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Integrate AWS S3
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Access key
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Use AWS S3 as storage!

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Specify your S3 bucket

Access key (If needed)

Congratulations!

Healthy.ai is now integrated with AWS S3!

Delete Storage Key

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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!

Healthy.ai 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!

Healthy.ai is now integrated with Azure Cloud Storage!

Delete Storage Key

Are you sure you want to delete this access key?

No
Yes