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  1. schema: '2.0'
  2. stages:
  3. raw_dataset_creation:
  4. cmd: python src/data/load_data.py --config=params.yaml
  5. deps:
  6. - path: data/external/train.csv
  7. md5: a4b61a338b731a677b007f0a261e439d
  8. size: 391596
  9. - path: src/data/load_data.py
  10. md5: 1de1b5780f0f897223d87024bae9c1fa
  11. size: 1435
  12. outs:
  13. - path: data/raw/train.csv
  14. md5: 54b1f8d07da60ebe0cf8deb0181ee5ef
  15. size: 120314
  16. split_data:
  17. cmd: python src/data/split_data.py --config=params.yaml
  18. deps:
  19. - path: data/raw/train.csv
  20. md5: 54b1f8d07da60ebe0cf8deb0181ee5ef
  21. size: 120314
  22. - path: src/data/split_data.py
  23. md5: c143a95ea697d55e3718f4fe9bdc4dfb
  24. size: 1383
  25. outs:
  26. - path: data/processed/churn_test.csv
  27. md5: 4bf8fa47e3ff0022327aea7519fff6c6
  28. size: 12153
  29. - path: data/processed/churn_train.csv
  30. md5: ed806531bba3bb3b3b3b699bac249dfc
  31. size: 108290
  32. log_production_model:
  33. cmd: python src/models/production_model_selection.py --config=params.yaml
  34. deps:
  35. - path: src/models/production_model_selection.py
  36. md5: 6d49061883427ce690ff89c59c2851ff
  37. size: 1726
  38. params:
  39. params.yaml:
  40. random_forest.max_depth: 11
  41. random_forest.n_estimators: 31
  42. outs:
  43. - path: models/model.joblib
  44. md5: 870d7128b8be2dab5d3172f125d2f49d
  45. size: 654140
  46. model_train:
  47. cmd: python src/models/train_model.py --config=params.yaml
  48. deps:
  49. - path: data/processed/churn_test.csv
  50. md5: 4bf8fa47e3ff0022327aea7519fff6c6
  51. size: 12153
  52. - path: data/processed/churn_train.csv
  53. md5: ed806531bba3bb3b3b3b699bac249dfc
  54. size: 108290
  55. - path: src/models/train_model.py
  56. md5: 2923cddf7769edf96bb19055bb1693cc
  57. size: 3886
  58. params:
  59. params.yaml:
  60. random_forest.max_depth: 11
  61. random_forest.n_estimators: 31
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