code: def transform(self, numerical_feature_list, categorical_feature_list):
          
          features = numerical_feature_list + categorical_feature_list
          for feature in features:
              feature = self._format_target(feature)
              feature.set_index(self.id_column, drop=True, inplace=True)
          features = pd.concat(features, axis=1).astype(np.float32).reset_index()
  
          outputs = dict()
          outputs['features'] = features
          outputs['feature_names'] = list(features.columns)
          outputs['categorical_features'] = self._get_feature_names(categorical_feature_list)
          return outputs
docs: Args:
              numerical_feature_list: list of numerical features
              categorical_feature_list: list of categorical features
  
          Returns:
              Dictionary with following keys:
                  features: DataFrame with concatenated features
                  feature_names: list of features names
                  categorical_features: list of categorical feature names