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tproma
/
End-to-End-Cancer-Classification-using-MLflow-DVC
connected to https://github.com/tproma/End-to-End-Cancer-Classification-using-MLflow-DVC.git

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requirements.txt 179 B
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  1. mlflow==2.2.2
    2. 

  2. tensorflow==2.12.0
    3. 

  3. pandas
    4. 

  4. gdown
    5. 

  5. dvc
    6. 

  6. notebook
    7. 

  7. numpy
    8. 

  8. matplotlib
    9. 

  9. seaborn
    10. 

  10. python-box==6.0.2
    11. 

  11. pyYAML
    12. 

  12. tqdm
    13. 

  13. ensure==1.0.2
    14. 

  14. joblib
    15. 

  15. types-pyYAML
    16. 

  16. scipy
    17. 

  17. Flask
    18. 

  18. Flask-Cors
    19. 

  19. -e .
    20. 

  20. 

  21. 

  22.
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Integrate Google Cloud Storage
Use Google Storage
Select bucket
Upload key
Finish

Use Google Cloud Storage!

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Specify your Google Storage bucket

Service Account Key

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End-to-End-Cancer-Classification-using-MLflow-DVC is now integrated with Google Cloud Storage!

Delete Storage Key

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Integrate AWS S3
Use S3 remote
Select bucket
Access key
Finish

Use AWS S3 as storage!

Browsing data directories saved to S3 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!

End-to-End-Cancer-Classification-using-MLflow-DVC is now integrated with AWS S3!

Delete Storage Key

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No
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!

End-to-End-Cancer-Classification-using-MLflow-DVC is now integrated with your S3 compatible storage!

Delete Storage Key

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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!

End-to-End-Cancer-Classification-using-MLflow-DVC is now integrated with Azure Cloud Storage!

Delete Storage Key

Are you sure you want to delete this access key?

No
Yes