docstr: Test check_consistency_model_features 1
code: def test_check_consistency_model_features_4(self):
      """
      Test check_consistency_model_features 1
      """
      train = pd.DataFrame(
          {
              "Onehot1": ["A", "B", "A", "B"],
              "Onehot2": ["C", "D", "C", "D"],
              "Binary1": ["E", "F", "E", "F"],
              "Binary2": ["G", "H", "G", "H"],
              "Ordinal1": ["I", "J", "I", "J"],
              "Ordinal2": ["K", "L", "K", "L"],
              "BaseN1": ["M", "N", "M", "N"],
              "BaseN2": ["O", "P", "O", "P"],
              "Target1": ["Q", "R", "Q", "R"],
              "Target2": ["S", "T", "S", "T"],
              "other": ["other", np.nan, "other", "other"],
          }
      )
  
      features_dict = None
      columns_dict = {
          i: features for i, features in enumerate(train.columns)
      }
      features_types = {
          features: str(train[features].dtypes)
          for features in train.columns
      }
      label_dict = None
      mask_params = None
  
      enc_ordinal_all = ce.OrdinalEncoder(
          cols=[
              "Onehot1",
              "Onehot2",
              "Binary1",
              "Binary2",
              "Ordinal1",
              "Ordinal2",
              "BaseN1",
              "BaseN2",
              "Target1",
              "Target2",
              "other",
          ]
      ).fit(train)
      train_ordinal_all = enc_ordinal_all.transform(train)
      preprocessing = enc_ordinal_all
  
      y = pd.DataFrame({"y_class": [0, 0, 0, 1]})
  
      for model in self.modellist:
          print(type(model))
          model.fit(train_ordinal_all, y)
  
          check_consistency_model_features(
              features_dict,
              model,
              columns_dict,
              features_types,
              mask_params,
              preprocessing,
              list_preprocessing=[preprocessing],
          )
  
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 20 for calling the TestCheck obj's underlying member method code with example usage: obj.test_check_consistency_model_features_4() without return types