code: def test_regression_target_transformation(boston_dataframe):
      exp = pycaret.regression.RegressionExperiment()
      # init setup
      exp.setup(
          boston_dataframe,
          target="medv",
          transform_target=True,
          log_experiment=True,
          html=False,
          session_id=123,
          n_jobs=1,
          experiment_name=uuid.uuid4().hex,
      )
      model = exp.create_model("dt", cross_validation=False)
      preds = exp.predict_model(model)
      assert np.isclose(preds["prediction_label"].iloc[0], 49.999989)
  
file_path: pycaret/tests/test_regression.py
imports: import uuid
  import numpy
  import pandas
  import pytest
  from mlflow.tracking import MlflowClient
  import pycaret.datasets
  import pycaret.regression
label_desc: Use image node_id 4 for calling a global function with example usage: test_regression_target_transformation(boston_dataframe) without return types