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  1. data:
  2. raw: train
  3. test: test
  4. prediction: prediction
  5. connection:
  6. user: postgres
  7. password: 123456
  8. host: localhost:5432
  9. database: pet_finder
  10. n_estimators: 20
  11. use_cols:
  12. - Type
  13. - Age
  14. - Breed1
  15. - Breed2
  16. - Gender
  17. - Color1
  18. - Color2
  19. - Color3
  20. - MaturitySize
  21. - FurLength
  22. - Vaccinated
  23. - Dewormed
  24. - Sterilized
  25. - Health
  26. - Quantity
  27. - Fee
  28. - desc_length
  29. - desc_words
  30. - average_word_length
  31. - AdoptionSpeed
  32. cat_cols:
  33. - Type
  34. - Breed1
  35. - Breed2
  36. - Gender
  37. - Color1
  38. - Color2
  39. - Color3
  40. - MaturitySize
  41. - FurLength
  42. - Vaccinated
  43. - Dewormed
  44. - Sterilized
  45. - Health
  46. label: AdoptionSpeed
  47. n_splits: 5
  48. params:
  49. objective: multiclass
  50. max_depth: 4
  51. alpha: 10
  52. learning_rate: 1.0
  53. n_estimators: 10
  54. random_state: 0
  55. model:
  56. dir: /Users/khuyen/prefect2-mlops-demo/
  57. save_path: model/xgboost
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