class_docstr: Test case: Create Report using various dataset on pillar 2
  - refer to README in sample_input for more info on dataset
  - please update the config to include other feature in p2
class_docstr_tok: ["Test","case",":","Create","Report","using","various","dataset","on","pillar","2","-","refer","to","README","in","sample_input","for","more","info","on","dataset","-","please","update","the","config","to","include","other","feature","in","p2"]
docstr: Remove working temp files 
docstr_tok: ["Remove","working","temp","files"]
code: def tearDown(self) -> None:
      """Remove working temp files"""
      remove_temp()
  
file_path: contextual-ai/tests/compiler/test_model_interpreter_with_tabular_lime_classification.py
imports: import sys
  import warnings
  import numpy
  from sklearn import datasets
  from sklearn.model_selection import train_test_split
  from sklearn.ensemble import RandomForestClassifier
  from PyPDF2 import PdfFileReader
  from datetime import datetime
  import unittest
  from xai.compiler import Configuration, Controller
  from tests.compiler.util import prepare_template, read_json_source, read_yaml_source, prepare_output_path, time_in_range, remove_temp
label_desc: Use image node_id 2 for calling the TestModelInterpreter obj's underlying member method code with example usage: obj.tearDown() without return types