class_docstr: Grid + Random Recipe for XGBoost Regressor.
code: def search_space(self):
      return {
          # -------- feature related parameters
          "model": "XGBRegressor",
          "imputation": hp.choice(["LastFillImpute", "FillZeroImpute"]),
          "n_estimators": self.n_estimators,
          "max_depth": self.max_depth,
          "min_child_weight": self.min_child_weight,
          "lr": self.lr,
      }
  
imports: from bigdl.chronos.autots.deprecated.config.base import Recipe
  from bigdl.orca.automl import hp
  from bigdl.chronos.utils import deprecated
label_desc: Use image node_id 2 for calling the XgbRegressorGridRandomRecipe obj's underlying member method code with example usage: obj.search_space() and returns: dict