Spaces:
Sleeping
Sleeping
File size: 803 Bytes
e22877e |
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 |
import sys
import pandas as pd
import numpy as np
import os
from dataclasses import dataclass
from sklearn.compose import ColumnTransformer
from sklearn.impute import SimpleImputer
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import OneHotEncoder,StandardScaler
from src.exception import CustomException
from src.logger import logging
from Data_ingestation import Data_ingestion
@dataclass
class Data_transformation_config:
Preprpcessor_obj_file = os.path.join("artifact","Preprocessor.pkl")
class Data_transformation:
def __init__(self) -> None:
self.data_transformation_config = Data_transformation_config()
def get_data_transformer_object(self):
try:
pass
except Exception as e:
raise CustomException(e,sys)
|