docstr: test inverse_transform having data expecting a returned result
docstr_tok: ["test","inverse_transform","having","data","expecting","a","returned","result"]
code: def test_inverse_transform_12(self):
      """
      test inverse_transform having data expecting a returned result
      """
      train = pd.Series(list("abcd")).to_frame("letter")
      enc = ce.BaseNEncoder(base=2)
      result = enc.fit_transform(train)
      inversed_result = inverse_transform(result, enc)
      pd.testing.assert_frame_equal(train, inversed_result)
  
imports: import unittest
  import pandas
  import numpy
  import category_encoders
  import catboost
  import lightgbm
  import xgboost
  from shapash.utils.transform import inverse_transform, apply_preprocessing, get_col_mapping_ce
  from sklearn.ensemble import GradientBoostingClassifier
label_desc: Use image node_id 12 for calling the TestInverseTransformCaterogyEncoder obj's underlying member method code with example usage: obj.test_inverse_transform_12() without return types