mashdud
/
End-to-end-with-MLFLOW
connected to https://github.com/mashdud/End-to-end-with-MLFLOW.git


  
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            from cnnClassifier.utils import logger
from cnnClassifier.pipeline.stage_01_data_ingestion import DataIngestionTrainingPipeline
# from cnnClassifier.pipeline.stage_01_data_ingestion 
# import DataIngestionTrainingPipeline
from  cnnClassifier.pipeline.stage_02_prepare_base_model import PrepareBaseModelTrainingPipeline
from  cnnClassifier.pipeline.stage_03_model_trainer import ModelTrainingPipeline
# # from cnnClassifier.pipeline.stage_04_model_evaluation import EvaluationPipeline


STAGE_NAME = "Data Ingestion stage"


try:
    logger.info(f">>>>>> stage {STAGE_NAME} started <<<<<<")
    obj = DataIngestionTrainingPipeline()
    obj.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"


try: 
   logger.info(f"*******************")
   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 = "Training"
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