app_.py

from src.mlproject.logger import logging
from src.mlproject.exception import CustomException
from src.mlproject.components.data_ingestion import DataIngestion
from src.mlproject.components.data_ingestion import DataIngestionConfig
from src.mlproject.components.data_transformation import DataTransformationConfig, DataTransformation
from src.mlproject.components.model_trainer import ModelTrainer
import sys

if __name__ == "__main__":
    logging.info("The execution has started")

    try:
        data_ingestion = DataIngestion()
        train_path,test_path = data_ingestion.initiate_data_ingestion()
        print("Data Ingestion is completed\n")
        data_transformation = DataTransformation()
        train_arr,test_arr,_=data_transformation.initiate_data_transformer(train_path,test_path)
        print("Data Transformation is completed\n")
        # model training
        model_trainer = ModelTrainer()
        print(model_trainer.initiate_model_trainer(train_arr,test_arr))


    except Exception as e:
        logging.info("Custom Exception")
        raise CustomException(e,sys)