hakim
model evaluation added
fd31bf7
from textsummarizer.pipeline.stage_01_data_ingestion import DataIngestionPipeline
from textsummarizer.pipeline.stage_02_data_validation import DataValidationPipeline
from textsummarizer.pipeline.stage_03_data_transformation import DataTransformationPipeline
from textsummarizer.pipeline.stage_04_model_trainer import ModelTrainerPipeline
from textsummarizer.pipeline.stage_05_model_evaluation import ModelEvaluationPipeline
from textsummarizer.logging import logger
STAGE_NAME = "Data Ingestion stage"
try:
logger.info(f">>>>>> stage {STAGE_NAME} started <<<<<<")
data_ingestion = DataIngestionPipeline()
data_ingestion.main()
logger.info(f">>>>>> stage {STAGE_NAME} completed <<<<<<\n\nx==========x")
except Exception as e:
logger.exception(e)
raise e
STAGE_NAME = "Data Validation stage"
try:
logger.info(f">>>>>> stage {STAGE_NAME} started <<<<<<")
data_validation = DataValidationPipeline()
data_validation.main()
logger.info(f">>>>>> stage {STAGE_NAME} completed <<<<<<\n\nx==========x")
except Exception as e:
logger.exception(e)
raise e
STAGE_NAME = "Data Trnasformation stage"
try:
logger.info(f">>>>>> stage {STAGE_NAME} started <<<<<<")
data_transformaion = DataTransformationPipeline()
data_transformaion.main()
logger.info(f">>>>>> stage {STAGE_NAME} completed <<<<<<\n\nx==========x")
except Exception as e:
logger.exception(e)
raise e
STAGE_NAME = "Model Traniner stage"
try:
logger.info(f">>>>>> stage {STAGE_NAME} started <<<<<<")
model_tranier = ModelTrainerPipeline()
model_tranier.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">>>>>> stage {STAGE_NAME} started <<<<<<")
model_evaluation = ModelEvaluationPipeline()
model_evaluation.main()
logger.info(f">>>>>> stage {STAGE_NAME} completed <<<<<<\n\nx==========x")
except Exception as e:
logger.exception(e)
raise e