docstr: Transformed training set.
docstr_tok: ["Transformed","training","set","."]
code: def train_transformed(self):
      """Transformed training set."""
      return pd.concat(
          [
              *self.pipeline.transform(
                  X=self.X_train,
                  y=self.y_train,
                  filter_train_only=False,
              )
          ],
          axis=1,
      )
  
file_path: pycaret/pycaret/internal/pycaret_experiment/non_ts_supervised_experiment.py
imports: import pandas
  from pycaret.internal.pycaret_experiment.supervised_experiment import _SupervisedExperiment
label_desc: Use image node_id 7 for calling the _NonTSSupervisedExperiment obj's underlying member method code with example usage: obj.train_transformed() and returns: pd