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shcheklein
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example-get-started
mirror of https://github.com/iterative/example-get-started

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  1. schema: '2.0'
    2. 

  2. stages:
    3. 

  3.   prepare:
    4. 

  4.     cmd: python src/prepare.py data/data.xml
    5. 

  5.     deps:
    6. 

  6.     - path: data/data.xml
    7. 

  7.       hash: md5
    8. 

  8.       md5: 22a1a2931c8370d3aeedd7183606fd7f
    9. 

  9.       size: 14445097
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  10.     - path: src/prepare.py
    11. 

  11.       hash: md5
    12. 

  12.       md5: f54d670ac8a4f63206781fc31d1f2651
    13. 

  13.       size: 2231
    14. 

  14.     params:
    15. 

  15.       params.yaml:
    16. 

  16.         prepare.seed: 20170428
    17. 

  17.         prepare.split: 0.2
    18. 

  18.     outs:
    19. 

  19.     - path: data/prepared
    20. 

  20.       hash: md5
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  21.       md5: 153aad06d376b6595932470e459ef42a.dir
    22. 

  22.       size: 8437363
    23. 

  23.       nfiles: 2
    24. 

  24.   featurize:
    25. 

  25.     cmd: python src/featurization.py data/prepared data/features
    26. 

  26.     deps:
    27. 

  27.     - path: data/prepared
    28. 

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  32.     - path: src/featurization.py
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  33.       hash: md5
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    35. 

  35.       size: 4158
    36. 

  36.     params:
    37. 

  37.       params.yaml:
    38. 

  38.         featurize.max_features: 200
    39. 

  39.         featurize.ngrams: 2
    40. 

  40.     outs:
    41. 

  41.     - path: data/features
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    44. 

  44.       size: 2232588
    45. 

  45.       nfiles: 2
    46. 

  46.   train:
    47. 

  47.     cmd: python src/train.py data/features model.pkl
    48. 

  48.     deps:
    49. 

  49.     - path: data/features
    50. 

  50.       hash: md5
    51. 

  51.       md5: f35d4cc2c552ac959ae602162b8543f3.dir
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  52.       size: 2232588
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  53.       nfiles: 2
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  54.     - path: src/train.py
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  55.       hash: md5
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  56.       md5: 324001573ed724e5ae092226fcf9ca30
    57. 

  57.       size: 1666
    58. 

  58.     params:
    59. 

  59.       params.yaml:
    60. 

  60.         train.min_split: 0.01
    61. 

  61.         train.n_est: 50
    62. 

  62.         train.seed: 20170428
    63. 

  63.     outs:
    64. 

  64.     - path: model.pkl
    65. 

  65.       hash: md5
    66. 

  66.       md5: d1f6e055f7f5e2827fcfae68d9b64d4c
    67. 

  67.       size: 1958115
    68. 

  68.   evaluate:
    69. 

  69.     cmd: python src/evaluate.py model.pkl data/features
    70. 

  70.     deps:
    71. 

  71.     - path: data/features
    72. 

  72.       hash: md5
    73. 

  73.       md5: f35d4cc2c552ac959ae602162b8543f3.dir
    74. 

  74.       size: 2232588
    75. 

  75.       nfiles: 2
    76. 

  76.     - path: model.pkl
    77. 

  77.       hash: md5
    78. 

  78.       md5: d1f6e055f7f5e2827fcfae68d9b64d4c
    79. 

  79.       size: 1958115
    80. 

  80.     - path: src/evaluate.py
    81. 

  81.       hash: md5
    82. 

  82.       md5: a1a59f55636170fb56e0c6afd3e28fa4
    83. 

  83.       size: 3315
    84. 

  84.     outs:
    85. 

  85.     - path: eval
    86. 

  86.       hash: md5
    87. 

  87.       md5: 5082d8dd96e7b995702ca1836d835fe4.dir
    88. 

  88.       size: 1292362
    89. 

  89.       nfiles: 8
    90.
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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!

example-get-started 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!

example-get-started 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!

example-get-started 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!

example-get-started is now integrated with Azure Cloud Storage!

Delete Storage Key

Are you sure you want to delete this access key?

No
Yes