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mustafamadraswala
/
simple-dvc-demo
connected to https://github.com/mustafamadraswala/simple-dvc-demo.git

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  1. schema: '2.0'
    2. 

  2. stages:
    3. 

  3.   split_data:
    4. 

  4.     cmd: python src/split_data.py --config=params.yaml
    5. 

  5.     deps:
    6. 

  6.     - path: data/raw/winequality.csv
    7. 

  7.       md5: d98e8f2eca228c11c4de1cc96866a54d
    8. 

  8.       size: 93598
    9. 

  9.     - path: src/split_data.py
    10. 

  10.       md5: dbd900c20ad11d1600bfca662cda13d4
    11. 

  11.       size: 1102
    12. 

  12.     outs:
    13. 

  13.     - path: data/processed/test_winequality.csv
    14. 

  14.       md5: 01718da3bd6e206060ed00667ca1a389
    15. 

  15.       size: 18831
    16. 

  16.     - path: data/processed/train_winequality.csv
    17. 

  17.       md5: 4bccf4d668cdc60115de42ba74d416ab
    18. 

  18.       size: 74913
    19. 

  19.   load_data:
    20. 

  20.     cmd: python src/load_data.py --config=params.yaml
    21. 

  21.     deps:
    22. 

  22.     - path: data_given/winequality.csv
    23. 

  23.       md5: ccc8d3507eb151f53f760d36abdef888
    24. 

  24.       size: 91998
    25. 

  25.     - path: src/get_data.py
    26. 

  26.       md5: d4450d67ec8253173210c6234e33c318
    27. 

  27.       size: 679
    28. 

  28.     - path: src/load_data.py
    29. 

  29.       md5: 65f7120da505e759f3cc60d900260b95
    30. 

  30.       size: 686
    31. 

  31.     outs:
    32. 

  32.     - path: data/raw/winequality.csv
    33. 

  33.       md5: d98e8f2eca228c11c4de1cc96866a54d
    34. 

  34.       size: 93598
    35. 

  35.   train_and_evaluate:
    36. 

  36.     cmd: python src/train_and_evaluate.py --config=params.yaml
    37. 

  37.     deps:
    38. 

  38.     - path: data/processed/test_winequality.csv
    39. 

  39.       md5: 01718da3bd6e206060ed00667ca1a389
    40. 

  40.       size: 18831
    41. 

  41.     - path: data/processed/train_winequality.csv
    42. 

  42.       md5: 4bccf4d668cdc60115de42ba74d416ab
    43. 

  43.       size: 74913
    44. 

  44.     - path: src/train_and_evaluate.py
    45. 

  45.       md5: bfd207bee8cc0c97d38c0c6cc35a738f
    46. 

  46.       size: 2781
    47. 

  47.     params:
    48. 

  48.       params.yaml:
    49. 

  49.         estimators.ElasticNet.params.alpha: 0.9
    50. 

  50.         estimators.ElasticNet.params.l1_ratio: 0.4
    51. 

  51.     outs:
    52. 

  52.     - path: report/params.json
    53. 

  53.       md5: a4aab0167612f21a6085dd05cfafdbf6
    54. 

  54.       size: 44
    55. 

  55.     - path: report/scores.json
    56. 

  56.       md5: 86524820870673b16aeaa90890571e40
    57. 

  57.       size: 101
    58. 

  58.     - path: saved_models/model.joblib
    59. 

  59.       md5: 469cf974b923d8278755b1264b0e0c5d
    60. 

  60.       size: 1295
    61.
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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!

simple-dvc-demo is now integrated with Google Cloud Storage!

Delete Storage Key

Are you sure you want to delete this access key?

No
Yes
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!

simple-dvc-demo is now integrated with AWS S3!

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

Access key (If needed)

Congratulations!

simple-dvc-demo 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!

simple-dvc-demo is now integrated with Azure Cloud Storage!

Delete Storage Key

Are you sure you want to delete this access key?

No
Yes