code: def execute():
      #################### Environment ####################
      env = Environment(
          train_dataset=get_boston_data(),
          results_path="HyperparameterHunterAssets",
          holdout_dataset=get_holdout_data,
          target_column="DIS",
          metrics=["r2_score", "median_absolute_error"],
          cv_type="KFold",
          cv_params=dict(n_splits=10, random_state=1),
      )
  
      #################### CVExperiment ####################
      exp_0 = CVExperiment(
          model_initializer=Ridge,
          model_init_params=dict(),
          feature_engineer=FeatureEngineer([quantile_transform]),
      )
  
      #################### Optimization ####################
      # `opt_0` recognizes `exp_0`'s `feature_engineer` and its results as valid learning material
      # This is because `opt_0` marks the engineer step functions omitted by `exp_0` as `optional=True`
      opt_0 = DummyOptPro(iterations=10)
      opt_0.forge_experiment(
          model_initializer=Ridge,
          model_init_params=dict(),
          feature_engineer=FeatureEngineer(
              [
                  Categorical(
                      [quantile_transform, log_transform], optional=True
                  ),
                  Categorical(
                      [standard_scale, standard_scale_BAD],
                      optional=True,
                  ),
                  Categorical([square_sum_feature], optional=True),
              ]
          ),
      )
      opt_0.go()
  
file_path: hyperparameter_hunter/examples/feature_engineering_examples/target_transform_inverse_example.py
imports: from hyperparameter_hunter import Environment, CVExperiment, FeatureEngineer
  from hyperparameter_hunter import DummyOptPro, Categorical
  from hyperparameter_hunter.utils.learning_utils import get_boston_data
  import numpy
  from sklearn.linear_model import Ridge
  from sklearn.model_selection import train_test_split
  from sklearn.preprocessing import QuantileTransformer, StandardScaler
label_desc: Use image node_id 7 for calling a global function with example usage: execute() without return types