Kidney-Disease-Classification-DL-Project/main.py

from src.kidneydieaseClassifier import logger
from src.kidneydieaseClassifier.pipeline.stage_01_data_ingestion import DataIngestionTrainingPipeline
from src.kidneydieaseClassifier.pipeline.stage_02_prepare_base_model import PrepareBaseModelTrainingPipeline
from src.kidneydieaseClassifier.pipeline.stage_03_training import ModelTrainingPipeline
from src.kidneydieaseClassifier.pipeline.stage_04_model_evaluation import ModelEvaluationPipeline




STAGE_NAME = "Data Ingestion stage"
try:
   logger.info(f">>>>>> stage {STAGE_NAME} started <<<<<<") 
   data_ingestion = DataIngestionTrainingPipeline()
   data_ingestion.main()
   logger.info(f">>>>>> stage {STAGE_NAME} completed <<<<<<\n\nx==========x")
except Exception as e:
        logger.exception(e)
        raise e


STAGE_NAME = "Prepare Base Model stage"
try:
   logger.info(f">>>>>> stage {STAGE_NAME} started <<<<<<") 
   prepare_base_model = PrepareBaseModelTrainingPipeline()
   prepare_base_model.main()
   logger.info(f">>>>>> stage {STAGE_NAME} completed <<<<<<\n\nx==========x")
except Exception as e:
        logger.exception(e)
        raise e

STAGE_NAME = "Model Training stage"
try: 
   logger.info(f"*******************")
   logger.info(f">>>>>> stage {STAGE_NAME} started <<<<<<")
   model_trainer = ModelTrainingPipeline()
   model_trainer.main()
   logger.info(f">>>>>> stage {STAGE_NAME} completed <<<<<<\n\nx==========x")
except Exception as e:
        logger.exception(e)
        raise e

STAGE_NAME = "Model Evaluation stage"
try:
   logger.info(f"*******************")
   logger.info(f">>>>>> stage {STAGE_NAME} started <<<<<<")
   model_evaluation = ModelEvaluationPipeline()
   model_evaluation.main()
   logger.info(f">>>>>> stage {STAGE_NAME} completed <<<<<<\n\nx==========x")  
except Exception as e:
   raise e