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delta2echo
/
MLflow.Demo

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requirements.txt 573 B
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  1. alembic
    2. 

  2. blinker
    3. 

  3. certifi
    4. 

  4. charset-normalizer
    5. 

  5. click
    6. 

  6. cloudpickle
    7. 

  7. colorama
    8. 

  8. contourpy
    9. 

  9. cycler
    10. 

  10. databricks-cli
    11. 

  11. docker
    12. 

  12. entrypoints
    13. 

  13. flask
    14. 

  14. fonttools
    15. 

  15. gitdb
    16. 

  16. gitpython
    17. 

  17. greenlet
    18. 

  18. idna
    19. 

  19. importlib-metadata
    20. 

  20. importlib-resources
    21. 

  21. itsdangerous
    22. 

  22. jinja2
    23. 

  23. joblib
    24. 

  24. kiwisolver
    25. 

  25. mako
    26. 

  26. markdown
    27. 

  27. markupsafe
    28. 

  28. matplotlib
    29. 

  29. mlflow
    30. 

  30. numpy
    31. 

  31. oauthlib
    32. 

  32. packaging
    33. 

  33. pandas
    34. 

  34. pillow
    35. 

  35. protobuf
    36. 

  36. pyarrow
    37. 

  37. pyjwt
    38. 

  38. pyparsing
    39. 

  39. python-dateutil
    40. 

  40. pytz
    41. 

  41. pyyaml
    42. 

  42. querystring-parser
    43. 

  43. requests
    44. 

  44. scikit-learn
    45. 

  45. scipy
    46. 

  46. six
    47. 

  47. smmap
    48. 

  48. sqlalchemy
    49. 

  49. sqlparse
    50. 

  50. tabulate
    51. 

  51. threadpoolctl
    52. 

  52. typing-extensions
    53. 

  53. tzdata
    54. 

  54. urllib3
    55. 

  55. waitress
    56. 

  56. websocket-client
    57. 

  57. werkzeug
    58. 

  58. xgboost
    59. 

  59. zipp
    60. 

  60. boto3
    61.
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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!

MLflow.Demo is now integrated with AWS S3!

Delete Storage Key

Are you sure you want to delete this access key?

No
Yes
Integrate Google Cloud Storage
Use Google Storage
Select bucket
Upload key
Finish

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!

MLflow.Demo is now integrated with Google Cloud 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!

MLflow.Demo is now integrated with Azure Cloud Storage!

Delete Storage Key

Are you sure you want to delete this access key?

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

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

Access key (If needed)

Congratulations!

MLflow.Demo is now integrated with your S3 compatible storage!

Delete Storage Key

Are you sure you want to delete this access key?

No
Yes