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RPPP

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  1. make_data:
    2. 

  2.   cmd: python3 make_dataset.py
    3. 

  3.   deps:
    4. 

  4.   - path: make_dataset.py
    5. 

  5.     md5: d700791fac216077c43596a5ea326f74
    6. 

  6.   outs:
    7. 

  7.   - path: remote://remote-wfs/rML-raw-data.csv
    8. 

  8.     md5: 15ae93ba7e913bcad890c2461048a9c9
    9. 

  9. eval:
    10. 

  10.   cmd: python3 evaluate.py
    11. 

  11.   deps:
    12. 

  12.   - path: evaluate.py
    13. 

  13.     md5: 9efaebadb2f8d9c95506ebcfc6e2ff07
    14. 

  14.     size: 1618
    15. 

  15.   - path: general_params.yml
    16. 

  16.     md5: fd72d874a18159ce4a7855eb23ce4165
    17. 

  17.     size: 44
    18. 

  18.   - path: model_params.yml
    19. 

  19.     md5: 4fd46c838ef321cb00b0032d0f182466
    20. 

  20.     size: 51
    21. 

  21.   - path: models
    22. 

  22.     md5: 91682815a9b9323d1e5e61e3b6c55161.dir
    23. 

  23.     size: 870633
    24. 

  24.     nfiles: 2
    25. 

  25.   - path: processed/rML-test.csv
    26. 

  26.     md5: 629a4d0505914f5599bb94be702341b5
    27. 

  27.     size: 2862132
    28. 

  28.   outs:
    29. 

  29.   - path: test_metrics.csv
    30. 

  30.     md5: 6e7e3cb6ae4ff66817737e2ff57d54f1
    31. 

  31.     size: 355
    32. 

  32. preprocessing:
    33. 

  33.   cmd: python3 preprocess.py
    34. 

  34.   deps:
    35. 

  35.   - path: general_params.yml
    36. 

  36.     md5: fd72d874a18159ce4a7855eb23ce4165
    37. 

  37.     size: 44
    38. 

  38.   - path: preprocess.py
    39. 

  39.     md5: a5eff68538e452eb07a7597c4a0e70c5
    40. 

  40.     size: 2636
    41. 

  41.   - path: raw/rML-raw-data.csv
    42. 

  42.     md5: ce3a47e51025812d0e5d2e5914feadb7
    43. 

  43.     size: 7361822
    44. 

  44.   outs:
    45. 

  45.   - path: processed/rML-test.csv
    46. 

  46.     md5: 629a4d0505914f5599bb94be702341b5
    47. 

  47.     size: 2862132
    48. 

  48.   - path: processed/rML-train.csv
    49. 

  49.     md5: 9b1f377458cc33aaa5b72a63fbb757fe
    50. 

  50.     size: 8087263
    51. 

  51. training:
    52. 

  52.   cmd: python3 training.py
    53. 

  53.   deps:
    54. 

  54.   - path: general_params.yml
    55. 

  55.     md5: fd72d874a18159ce4a7855eb23ce4165
    56. 

  56.     size: 44
    57. 

  57.   - path: model_def.py
    58. 

  58.     md5: e5510afe14965114dc29ec2f781a4db7
    59. 

  59.     size: 2005
    60. 

  60.   - path: processed/rML-train.csv
    61. 

  61.     md5: 9b1f377458cc33aaa5b72a63fbb757fe
    62. 

  62.     size: 8087263
    63. 

  63.   - path: training.py
    64. 

  64.     md5: cb87578e9e6ddf03440f7dc9901d6ba3
    65. 

  65.     size: 865
    66. 

  66.   outs:
    67. 

  67.   - path: models
    68. 

  68.     md5: 91682815a9b9323d1e5e61e3b6c55161.dir
    69. 

  69.     size: 870633
    70. 

  70.     nfiles: 2
    71. 

  71.   - path: params.yml
    72. 

  72.     md5: 2425d4cc306ef245b718ef1179191bf5
    73. 

  73.     size: 542
    74. 

  74.   - path: training_metrics.csv
    75. 

  75.     md5: b1ab90df6d62c42a6352bbf8922697d6
    76. 

  76.     size: 360
    77.
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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!

Existing keys:
gs://reddit-remote-wfs-example/dvc-cache/
Apr 08, 2021

Specify your Google Storage bucket

Service Account Key

Congratulations!

RPPP 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!

RPPP 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!

RPPP 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!

RPPP is now integrated with Azure Cloud Storage!

Delete Storage Key

Are you sure you want to delete this access key?

No
Yes