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params.yaml 1.5 KB

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  1. data_ingestion_config:
  2. dataset_download_file_name: UCI_Credit_Card.csv
  3. dataset_download_id: https://raw.githubusercontent.com/pk1308/datasets/master/ucicredit/UCI_Credit_Card.csv
  4. ingested_dir: ingested_data
  5. ingested_test_file: test.csv
  6. ingested_train_file: train.csv
  7. ingestion_dir: Stage00_data_ingestion
  8. raw_data_dir: raw_data
  9. data_transformation_config:
  10. data_transformation_dir: stage03_data_transformation
  11. preprocessing_object_dir: preprocessing
  12. preprocessing_object_file_name: preprocessing_obj.pkl
  13. data_validation_config:
  14. data_validation_dir: stage02_data_validation
  15. report_dir: data_drift_report
  16. validated_test_file: validated_test.pkl
  17. validated_train_file: validated_train.pkl
  18. model_evaluation_config:
  19. base_accuracy: 0.7393333333333333
  20. eval_difference: 0.05
  21. eval_model_dir_name: evaluated_model_dir
  22. eval_param: roc_auc
  23. evaluated_model_file_name: evaluated_model.pkl
  24. model_evaluation_dir: stage_05_model_evaluation
  25. model_pusher_config:
  26. base_accuracy: 0.7393333333333333
  27. best_model_name: best_model.pkl
  28. eval_difference: 0.02
  29. eval_param: accuracy
  30. model_export_dir: production_model
  31. model_pusher_dir: stage_06_model_pusher
  32. model_trainer_config:
  33. base_accuracy: 0.3
  34. eval_difference: 0.6
  35. eval_param: roc_auc
  36. model_factory_file_name: model_factory.yaml
  37. model_reports_dir: model_eval_reports
  38. model_trainer_dir: stage04_model_training
  39. models:
  40. - GBT
  41. - RF
  42. - LGBM
  43. - CATBOOST
  44. training_pipeline_config:
  45. artifact_dir: artifact
  46. experiment_code: Development
  47. pipeline_name: CreditCard
  48. random_state: 1961
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