code: def X_test_transformed(self):
      # In time series, the order of arguments and returns may be reversed.
      # When transforming the test set, we can and should use all data before that
      _, X = _pipeline_transform(
          pipeline=self.pipeline_fully_trained, y=self.y, X=self.X
      )
  
      if X is None:
          return None
      else:
          return X.loc[self.idx[2]]
  
file_path: pycaret/pycaret/internal/pycaret_experiment/ts_supervised_experiment.py
imports: import pandas
  from pycaret.internal.pycaret_experiment.supervised_experiment import _SupervisedExperiment
  from pycaret.utils.time_series.forecasting.pipeline import _pipeline_transform
label_desc: Use image node_id 11 for calling the _TSSupervisedExperiment obj's underlying member method code with example usage: obj.X_test_transformed() and returns: None, X