class_docstr: A class to transform data based on user-defined function to get predicted outcomes.
  This class calls FunctionTransformer of scikit-learn internally
  (https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.FunctionTransformer.html).
code: def __init__(self, func=None, kw_args=None):
      self.func = func
      self.kw_args = kw_args
  
imports: import os
  import pickle
  import shutil
  import zipfile
  from urllib.request import urlretrieve
  import numpy
  import pandas
  from sklearn.compose import ColumnTransformer
  from sklearn.ensemble import RandomForestClassifier
  from sklearn.model_selection import train_test_split
  from sklearn.pipeline import Pipeline
  from sklearn.preprocessing import FunctionTransformer, OneHotEncoder
  import dice_ml
label_desc: Use image node_id 1 to create a new DataTransfomer object  with example: obj = DataTransfomer(func, kw_args)