code: def setUp(self):
      iris = load_iris()
  
      self.feature_names = iris.feature_names
      self.target_names = iris.target_names
  
      (
          self.train,
          self.test,
          self.labels_train,
          self.labels_test,
      ) = train_test_split(iris.data, iris.target, train_size=0.80)
  
imports: import unittest
  import numpy
  import collections
  import sklearn
  import sklearn.datasets
  import sklearn.ensemble
  import sklearn.linear_model
  from numpy.testing import assert_array_equal
  from sklearn.datasets import load_iris, make_classification, make_multilabel_classification
  from sklearn.ensemble import RandomForestClassifier
  from sklearn.linear_model import LinearRegression
  from lime.discretize import QuartileDiscretizer, DecileDiscretizer, EntropyDiscretizer
  from lime.lime_tabular import LimeTabularExplainer
label_desc: Use image node_id 1 for calling the TestLimeTabular obj's underlying member method code with example usage: obj.setUp() without return types