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

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  1. artifacts:
    2. 

  2.   stackoverflow-dataset:
    3. 

  3.     path: data/data.xml
    4. 

  4.     type: dataset
    5. 

  5.     desc: Initial XML StackOverflow dataset (raw data)
    6. 

  6.   text-classification:
    7. 

  7.     path: model.pkl
    8. 

  8.     desc: Detect whether the given stackoverflow question should have R language tag
    9. 

  9.     type: model
    10. 

  10.     labels:
    11. 

  11.     - nlp
    12. 

  12.     - classification
    13. 

  13.     - stackoverflow
    14. 

  14. stages:
    15. 

  15.   prepare:
    16. 

  16.     cmd: python src/prepare.py data/data.xml
    17. 

  17.     deps:
    18. 

  18.     - data/data.xml
    19. 

  19.     - src/prepare.py
    20. 

  20.     params:
    21. 

  21.     - prepare.seed
    22. 

  22.     - prepare.split
    23. 

  23.     outs:
    24. 

  24.     - data/prepared
    25. 

  25.   featurize:
    26. 

  26.     cmd: python src/featurization.py data/prepared data/features
    27. 

  27.     deps:
    28. 

  28.     - data/prepared
    29. 

  29.     - src/featurization.py
    30. 

  30.     params:
    31. 

  31.     - featurize.max_features
    32. 

  32.     - featurize.ngrams
    33. 

  33.     outs:
    34. 

  34.     - data/features
    35. 

  35.   train:
    36. 

  36.     cmd: python src/train.py data/features model.pkl
    37. 

  37.     deps:
    38. 

  38.     - data/features
    39. 

  39.     - src/train.py
    40. 

  40.     params:
    41. 

  41.     - train.min_split
    42. 

  42.     - train.n_est
    43. 

  43.     - train.seed
    44. 

  44.     outs:
    45. 

  45.     - model.pkl
    46. 

  46.   evaluate:
    47. 

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

  48.     deps:
    49. 

  49.     - data/features
    50. 

  50.     - model.pkl
    51. 

  51.     - src/evaluate.py
    52. 

  52.     outs:
    53. 

  53.     - eval
    54. 

  54. metrics:
    55. 

  55. - eval/metrics.json
    56. 

  56. plots:
    57. 

  57. - ROC:
    58. 

  58.     template: simple
    59. 

  59.     x: fpr
    60. 

  60.     y:
    61. 

  61.       eval/plots/sklearn/roc/train.json: tpr
    62. 

  62.       eval/plots/sklearn/roc/test.json: tpr
    63. 

  63. - Confusion-Matrix:
    64. 

  64.     template: confusion
    65. 

  65.     x: actual
    66. 

  66.     y:
    67. 

  67.       eval/plots/sklearn/cm/train.json: predicted
    68. 

  68.       eval/plots/sklearn/cm/test.json: predicted
    69. 

  69. - Precision-Recall:
    70. 

  70.     template: simple
    71. 

  71.     x: recall
    72. 

  72.     y:
    73. 

  73.       eval/plots/sklearn/prc/train.json: precision
    74. 

  74.       eval/plots/sklearn/prc/test.json: precision
    75. 

  75. - eval/plots/images/importance.png
    76.
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