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swarajpande4
/
generalized-gan-pipeline
connected to https://github.com/swarajpande4/generalized-gan-pipeline.git

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  1. schema: '2.0'
    2. 

  2. stages:
    3. 

  3.   featurization:
    4. 

  4.     cmd: python3 code/featurization.py
    5. 

  5.     deps:
    6. 

  6.     - path: code/featurization.py
    7. 

  7.       md5: c254348d3ffc48ee96ec583ea85000bf
    8. 

  8.       size: 335
    9. 

  9.     - path: data/test_data.csv
    10. 

  10.       md5: c807df8d6d804ab2647fc15c3d40f543
    11. 

  11.       size: 18289443
    12. 

  12.     - path: data/train_data.csv
    13. 

  13.       md5: 5b49cf1b57fb9d6102b559d59d99df7c
    14. 

  14.       size: 109575994
    15. 

  15.     outs:
    16. 

  16.     - path: data/norm_params.json
    17. 

  17.       md5: 99914b932bd37a50b983c5e7c90ae93b
    18. 

  18.       size: 2
    19. 

  19.     - path: data/processed_test_data.npy
    20. 

  20.       md5: 5833ab88d8f240bdae87c5ce0170dcdf
    21. 

  21.       size: 128
    22. 

  22.     - path: data/processed_train_data.npy
    23. 

  23.       md5: 5833ab88d8f240bdae87c5ce0170dcdf
    24. 

  24.       size: 128
    25. 

  25.   training:
    26. 

  26.     cmd: python3 code/train_model.py --force
    27. 

  27.     deps:
    28. 

  28.     - path: code/train_model.py
    29. 

  29.       md5: 3e4e7dfdbae74a3d7a10f1e230f52c9f
    30. 

  30.       size: 525
    31. 

  31.     - path: data/processed_train_data.npy
    32. 

  32.       md5: 5833ab88d8f240bdae87c5ce0170dcdf
    33. 

  33.       size: 128
    34. 

  34.     outs:
    35. 

  35.     - path: images/
    36. 

  36.       md5: b680d9d1068a4918e923c7d122e73808.dir
    37. 

  37.       size: 2149645
    38. 

  38.       nfiles: 10
    39. 

  39.     - path: metrics/train_metric.json
    40. 

  40.       md5: 60aacc4f7f687d2d968848e14f949464
    41. 

  41.       size: 36
    42. 

  42.     - path: saved_model/discriminator.json
    43. 

  43.       md5: 480fb9bdf5ea08b19e4cb405308fabc7
    44. 

  44.       size: 6554
    45. 

  45.     - path: saved_model/discriminator_weights.hdf5
    46. 

  46.       md5: 66ba99c48c49b0651a516278975fa5c5
    47. 

  47.       size: 506048
    48. 

  48.     - path: saved_model/generator.json
    49. 

  49.       md5: e68f9b16777b83026d012f10f9e5981b
    50. 

  50.       size: 6485
    51. 

  51.     - path: saved_model/generator_weights.hdf5
    52. 

  52.       md5: dedb2490907b30fde3ac7739b4a91a07
    53. 

  53.       size: 3457944
    54. 

  54.   eval:
    55. 

  55.     cmd: python3 code/eval.py
    56. 

  56.     deps:
    57. 

  57.     - path: data/processed_test_data.npy
    58. 

  58.       md5: 5833ab88d8f240bdae87c5ce0170dcdf
    59. 

  59.       size: 128
    60. 

  60.     - path: saved_model/discriminator.json
    61. 

  61.       md5: 480fb9bdf5ea08b19e4cb405308fabc7
    62. 

  62.       size: 6554
    63. 

  63.     - path: saved_model/discriminator_weights.hdf5
    64. 

  64.       md5: 66ba99c48c49b0651a516278975fa5c5
    65. 

  65.       size: 506048
    66. 

  66.     - path: saved_model/generator.json
    67. 

  67.       md5: e68f9b16777b83026d012f10f9e5981b
    68. 

  68.       size: 6485
    69. 

  69.     - path: saved_model/generator_weights.hdf5
    70. 

  70.       md5: dedb2490907b30fde3ac7739b4a91a07
    71. 

  71.       size: 3457944
    72. 

  72.     outs:
    73. 

  73.     - path: metrics/eval.json
    74. 

  74.       md5: 99914b932bd37a50b983c5e7c90ae93b
    75. 

  75.       size: 2
    76.
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Integrate Azure Cloud Storage
Use Azure Storage
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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!

generalized-gan-pipeline is now integrated with Azure Cloud Storage!

Delete Storage Key

Are you sure you want to delete this access key?

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