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3e93e14 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 | from cnnClassifier import logger
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 ModelTrainerTrainingPipeline
from cnnClassifier.pipeline.stage_04_model_evaluation import ModelEvaluationPipeline
STAGE_NAME = "Data Ingestion stage"
try:
logger.info(f">>>>>> stage {STAGE_NAME} started <<<<<<")
DataIngestionTrainingPipeline().main()
logger.info(f">>>>>> stage {STAGE_NAME} completed <<<<<<" + chr(10) + chr(10) + "x==========x")
except Exception as e:
logger.exception(e)
raise e
STAGE_NAME = "Prepare Base Model stage"
try:
logger.info(f">>>>>> stage {STAGE_NAME} started <<<<<<")
PrepareBaseModelTrainingPipeline().main()
logger.info(f">>>>>> stage {STAGE_NAME} completed <<<<<<" + chr(10) + chr(10) + "x==========x")
except Exception as e:
logger.exception(e)
raise e
STAGE_NAME = "Training stage"
try:
logger.info(f">>>>>> stage {STAGE_NAME} started <<<<<<")
ModelTrainerTrainingPipeline().main()
logger.info(f">>>>>> stage {STAGE_NAME} completed <<<<<<" + chr(10) + chr(10) + "x==========x")
except Exception as e:
logger.exception(e)
raise e
STAGE_NAME = "Model Evaluation stage"
try:
logger.info(f">>>>>> stage {STAGE_NAME} started <<<<<<")
ModelEvaluationPipeline().main()
logger.info(f">>>>>> stage {STAGE_NAME} completed <<<<<<" + chr(10) + chr(10) + "x==========x")
except Exception as e:
logger.exception(e)
raise e
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