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Danselem
/
heart_disease_mlflow
connected to https://github.com/Danselem/heart_disease_mlflow.git

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  1. schema: '2.0'
    2. 

  2. stages:
    3. 

  3.   data_split:
    4. 

  4.     cmd: uv run -m src.data_split
    5. 

  5.     deps:
    6. 

  6.     - path: data/raw/
    7. 

  7.       hash: md5
    8. 

  8.       md5: d65ea4088f8217bbaa1204de8492657d.dir
    9. 

  9.       size: 12316333
    10. 

  10.       nfiles: 1
    11. 

  11.     - path: src/data_split.py
    12. 

  12.       hash: md5
    13. 

  13.       md5: 3d7970321e1b5ca9e262e1bd48a22460
    14. 

  14.       size: 1358
    15. 

  15.     outs:
    16. 

  16.     - path: data/interim/heart_test.parquet
    17. 

  17.       hash: md5
    18. 

  18.       md5: 6d1dbe16980ef9bdb05655e11bb535e9
    19. 

  19.       size: 1270256
    20. 

  20.     - path: data/interim/heart_train.parquet
    21. 

  21.       hash: md5
    22. 

  22.       md5: c44fb2f2af59e7e98098fcb4aad6caeb
    23. 

  23.       size: 4949802
    24. 

  24.   data_cleaning:
    25. 

  25.     cmd: uv run -m src.data_cleaning
    26. 

  26.     deps:
    27. 

  27.     - path: data/interim/heart_test.parquet
    28. 

  28.       hash: md5
    29. 

  29.       md5: 6d1dbe16980ef9bdb05655e11bb535e9
    30. 

  30.       size: 1270256
    31. 

  31.     - path: data/interim/heart_train.parquet
    32. 

  32.       hash: md5
    33. 

  33.       md5: c44fb2f2af59e7e98098fcb4aad6caeb
    34. 

  34.       size: 4949802
    35. 

  35.     - path: src/data_cleaning.py
    36. 

  36.       hash: md5
    37. 

  37.       md5: 87951677892ae5985c2d28c90b0413c2
    38. 

  38.       size: 2809
    39. 

  39.     outs:
    40. 

  40.     - path: data/processed/heart_train_cleaned.parquet
    41. 

  41.       hash: md5
    42. 

  42.       md5: 928702da7e0ea7aee7ae1049c43b93ce
    43. 

  43.       size: 2315281
    44. 

  44.   modeling:
    45. 

  45.     cmd: uv run -m src.modeling
    46. 

  46.     deps:
    47. 

  47.     - path: data/processed/heart_train_cleaned.parquet
    48. 

  48.       hash: md5
    49. 

  49.       md5: 928702da7e0ea7aee7ae1049c43b93ce
    50. 

  50.       size: 2315281
    51. 

  51.     - path: src/modeling.py
    52. 

  52.       hash: md5
    53. 

  53.       md5: 0552319d5d72d7377dab32c357275a69
    54. 

  54.       size: 4249
    55. 

  55.     params:
    56. 

  56.       params.yaml:
    57. 

  57.         modeling:
    58. 

  58.           n_trials: 5
    59. 

  59.           model_family: random_forest
    60. 

  60.           objective_function: Logloss
    61. 

  61.           loss_function: F1
    62.
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Integrate AWS S3
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heart_disease_mlflow is now integrated with AWS S3!

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heart_disease_mlflow is now integrated with Google Cloud Storage!

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Integrate Azure Cloud Storage
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Set key
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Use Azure Cloud Storage!

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Specify your Azure Storage bucket

Access key (If needed)

Congratulations!

heart_disease_mlflow is now integrated with Azure Cloud Storage!

Delete Storage Key

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Integrate S3 compatible storage
Use S3 like remote
Select bucket
Access key
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Use any S3 compatible storage!

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Specify your S3 bucket

Bucket name cannot be the same as the repository name. Please change one of them.

Access key (If needed)

Congratulations!

heart_disease_mlflow is now integrated with your S3 compatible storage!

Delete Storage Key

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