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main.py 2.0 KB

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  1. from src.mlProject import logger
  2. from src.mlProject.pipeline.stage_01_data_ingestion import DataIngestionTrainingPipeline
  3. from src.mlProject.pipeline.stage_02_data_validation import DataValidationTrainingPipeline
  4. from src.mlProject.pipeline.stage_03_data_transformation import DataTransformationTrainingPipeline
  5. from src.mlProject.pipeline.stage_04_model_trainer import ModelTrainingPipeline
  6. from src.mlProject.pipeline.stage_05_model_evaluation import ModelEvaluationTrainingPipeline
  7. logger.info("We are printing the logs here!!!")
  8. STAGE_NAME = "Data Ingestion"
  9. try:
  10. logger.info(f"-----------Stage {STAGE_NAME} Started------------")
  11. obj = DataIngestionTrainingPipeline()
  12. obj.main()
  13. logger.info(f"------------Stage {STAGE_NAME} Completed---------------------")
  14. except Exception as e:
  15. logger.exception(e)
  16. raise e
  17. STAGE_NAME = "Data Validation"
  18. try:
  19. logger.info(f">>>>>>>>>>>>>>>>Stage {STAGE_NAME} Started <<<<<<<<<<<<<<")
  20. obj = DataValidationTrainingPipeline()
  21. obj.main()
  22. logger.info(f">>>>>>>>>>>>>>>>>Stage {STAGE_NAME} Completed<<<<<<<<<<<")
  23. except Exception as e:
  24. logger.exception(e)
  25. raise e
  26. STAGE_NAME = "Data Transformation"
  27. try:
  28. logger.info(f">>>>>>>>>>>>>>>>Stage {STAGE_NAME} Started <<<<<<<<<<<<<<")
  29. obj = DataTransformationTrainingPipeline()
  30. obj.main()
  31. logger.info(f">>>>>>>>>>>>>>>>>Stage {STAGE_NAME} Completed<<<<<<<<<<<<")
  32. except Exception as e:
  33. logger.exception(e)
  34. raise e
  35. STAGE_NAME = "Model Training"
  36. try:
  37. logger.info(f">>>>>>>>>>>>>>>>Stage {STAGE_NAME} Started <<<<<<<<<<<<<<")
  38. obj = ModelTrainingPipeline()
  39. obj.main()
  40. logger.info(f">>>>>>>>>>>>>>>>>Stage {STAGE_NAME} Completed<<<<<<<<<<<<")
  41. except Exception as e:
  42. logger.exception(e)
  43. raise e
  44. STAGE_NAME = "Model evaluation stage"
  45. try:
  46. logger.info(f">>>>>> stage {STAGE_NAME} started <<<<<<")
  47. obj = ModelEvaluationTrainingPipeline()
  48. obj.main()
  49. logger.info(f">>>>>> stage {STAGE_NAME} completed <<<<<<")
  50. except Exception as e:
  51. logger.exception(e)
  52. raise e
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