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haris.brulic
/
mbajk-ml-2
connected to https://github.com/harisbrulic/mbajk-ml-2.git

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pyproject.toml 732 B
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  1. [tool.poetry]
    2. 

  2. name = "mbajk-ml"
    3. 

  3. version = "0.1.0"
    4. 

  4. description = "MBajk Machine Learning"
    5. 

  5. authors = ["Haris Brulic <haris.brulic@student.um.si>"]
    6. 

  6. readme = "README.md"
    7. 

  7. 

  8. [tool.poetry.dependencies]
    9. 

  9. python = "^3.12"
    10. 

  10. pandas = "^2.2.1"
    11. 

  11. scikit-learn = "^1.4.1.post1"
    12. 

  12. tensorflow = "^2.16.1"
    13. 

  13. keras = "^3.1.1"
    14. 

  14. matplotlib = "^3.8.4"
    15. 

  15. flask = "^3.0.3"
    16. 

  16. flask-restx = "^1.3.0"
    17. 

  17. werkzeug = "^3.0.2"
    18. 

  18. flasgger = "^0.9.7.1"
    19. 

  19. fastapi = "^0.110.1"
    20. 

  20. pytest = "^8.1.1"
    21. 

  21. cors = "^1.0.1"
    22. 

  22. unidecode = "^1.3.8"
    23. 

  23. dvc-s3 = "^3.1.0"
    24. 

  24. great-expectations = "^0.18.13"
    25. 

  25. evidently = "^0.4.20"
    26. 

  26. mlflow = "^2.12.1"
    27. 

  27. 

  28. 

  29. [tool.poetry.group.dev.dependencies]
    30. 

  30. black = "^24.4.2"
    31. 

  31. jupyter = "^1.0.0"
    32. 

  32. 

  33. [build-system]
    34. 

  34. requires = ["poetry-core"]
    35. 

  35. build-backend = "poetry.core.masonry.api"
    36. 

  36.
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Use any S3 compatible storage!

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Access key (If needed)

Congratulations!

mbajk-ml-2 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!

mbajk-ml-2 is now integrated with Azure Cloud Storage!

Delete Storage Key

Are you sure you want to delete this access key?

No
Yes