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params.yaml 756 B

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  1. base:
  2. project: insurance-price-prediction
  3. random_state: 180
  4. target_data: expenses
  5. data_source:
  6. local_data: data_given/insurance_updated.csv
  7. load_data:
  8. raw_data_csv: data/raw/insurance_updated.csv
  9. raw_data:
  10. raw: insurance_data/insurance.csv
  11. split_data:
  12. train_path: data/processed/train_insurance.csv
  13. test_path: data/processed/test_insurance.csv
  14. split_ratio: 0.250
  15. estimators:
  16. GradientBoostingRegressor:
  17. params:
  18. learning_rate: 0.1001
  19. n_estimators: 100
  20. alpha: 0.8
  21. verbose: 0
  22. validation_fraction: 0.000001
  23. tol: 0.0001
  24. ccp_alpha: 0.1
  25. model_dirs: saved_models
  26. reports:
  27. scores: reports/scores.json
  28. params: reports/params.json
  29. webapp_model_dir: prediction_service/model/model.pkl
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