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main.py
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50 lines (40 loc) · 2.33 KB
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from network_security.exception.exception import NetworkSecurityException
from network_security.logging.logger import logging
from network_security.components.data_ingestion import DataIngestion
from network_security.components.data_validation import DataValidation
from network_security.components.data_transformation import DataTransformation
from network_security.components.model_trainer import ModelTrainer
from network_security.entity.config_entity import DataIngestionConfig
from network_security.entity.config_entity import DataValidationConfig
from network_security.entity.config_entity import DataTransformationConfig
from network_security.entity.config_entity import TrainingPipelineConfig
from network_security.entity.config_entity import ModelTrainerConfig
import sys
if __name__=="__main__":
try:
logging.info("Initiating Data Ingestion")
trainingpipelineconfig=TrainingPipelineConfig()
dataingestionconfig=DataIngestionConfig(trainingpipelineconfig)
dataingestion=DataIngestion(dataingestionconfig)
dataingestionartifact=dataingestion.initiate_data_ingestion()
print(dataingestionartifact)
logging.info("Data Ingestion Completed")
datavalidationconfig=DataValidationConfig(trainingpipelineconfig)
data_validation=DataValidation(dataingestionartifact,datavalidationconfig)
logging.info("Inititate data validation")
data_validation_artifact=data_validation.initiate_data_validation()
logging.info("Data validation complete")
print(data_validation_artifact)
datatransformationconfig=DataTransformationConfig(trainingpipelineconfig)
datatransformation=DataTransformation(data_validation_artifact,datatransformationconfig)
logging.info("Initiating data transformatin")
data_transformation_artifact=datatransformation.initiate_data_transformation()
print(data_transformation_artifact)
print("Data transformation Completed")
model_trainer_config=ModelTrainerConfig(trainingpipelineconfig)
model_trainer=ModelTrainer(model_trainer_config,data_transformation_artifact)
model_trainer_artifact=model_trainer.initiate_model_trainer()
print(model_trainer_artifact)
print("model training complete")
except Exception as e:
raise NetworkSecurityException(e,sys)