code: def setUp(self):
      self.modellist = [
          lgb.LGBMRegressor(n_estimators=1),
          lgb.LGBMClassifier(n_estimators=1),
          xgb.XGBRegressor(n_estimators=1),
          xgb.XGBRegressor(n_estimators=1),
          cb.CatBoostRegressor(n_estimators=1),
          cb.CatBoostClassifier(n_estimators=1),
          ske.GradientBoostingRegressor(n_estimators=1),
          ske.GradientBoostingClassifier(n_estimators=1),
          ske.ExtraTreesRegressor(n_estimators=1),
          ske.ExtraTreesClassifier(n_estimators=1),
          ske.RandomForestRegressor(n_estimators=1),
          ske.RandomForestClassifier(n_estimators=1),
          skl.LogisticRegression(),
          skl.LinearRegression(),
          svm.SVR(kernel="linear"),
          svm.SVC(kernel="linear"),
      ]
  
imports: import unittest
  import pytest
  import pandas
  import numpy
  import category_encoders
  from shapash.utils.check import check_preprocessing, check_model, check_label_dict, check_mask_params, check_y, check_contribution_object, check_preprocessing_options, check_postprocessing, check_consistency_model_features, check_consistency_model_label, check_additional_data
  from sklearn.compose import ColumnTransformer
  import sklearn.preprocessing
  import types
  import sklearn.ensemble
  import sklearn.svm
  import sklearn.linear_model
  import xgboost
  import lightgbm
  import catboost
label_desc: Use image node_id 1 for calling the TestCheck obj's underlying member method code with example usage: obj.setUp() without return types