EndToEndML/main.py at main · THARUN-S-R/EndToEndML · GitHub

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
43
44
45
46
47
48
from EndToEndProject import logger
from EndToEndProject.pipeline.stage_01_data_ingestion import DataIngestionTrainingPipeline
from EndToEndProject.pipeline.stage_02_data_validation import DataValidationTrainingPipeline
from EndToEndProject.pipeline.stage_03_data_transformation import DataTransformationTrainingPipeline
from EndToEndProject.pipeline.stage_04_model_trainer import ModelTrainerTrainingPipeline


STAGE_NAME = "Data Ingestion Stage"

try:
    logger.info(f">>>>>> stage {STAGE_NAME} started <<<<<<")
    Data_Ingestion  = DataIngestionTrainingPipeline()
    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  = DataValidationTrainingPipeline()
    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 Transformation Stage"
try:
    logger.info(f">>>>>> stage {STAGE_NAME} started <<<<<<")
    Data_Transformation  = DataTransformationTrainingPipeline()
    Data_Transformation.main()
    logger.info(f">>>>>> stage {STAGE_NAME} completed <<<<<<\n\nx==========x")
except Exception as e:
    logger.exception(e)
    raise e

STAGE_NAME = "Model Trainer Stage"
try:
    logger.info(f">>>>>> stage {STAGE_NAME} started <<<<<<")
    Model_Trainer  = ModelTrainerTrainingPipeline()
    Model_Trainer.main()
    logger.info(f">>>>>> stage {STAGE_NAME} completed <<<<<<\n\nx==========x")
except Exception as e:
    logger.exception(e)
    raise e