code: def holdout_last_row(train_dataset, target_column):
      return train_dataset.iloc[0:-1, :], train_dataset.iloc[[-1], :]
  
file_path: hyperparameter_hunter/tests/integration_tests/feature_engineering/test_both_stages_transform.py
imports: from hyperparameter_hunter import Environment, CVExperiment
  from hyperparameter_hunter.callbacks.recipes import dataset_recorder
  from hyperparameter_hunter.feature_engineering import FeatureEngineer
  from hyperparameter_hunter.utils.boltons_utils import chunked
  from numpy.testing import assert_array_almost_equal
  import pandas
  import pytest
  from sklearn.linear_model import Ridge
  from sklearn.preprocessing import QuantileTransformer
label_desc: Use image node_id 1 for calling a global function with example usage: holdout_last_row(train_dataset, target_column) and returns: train_dataset,  train_dataset