code: def setUpClass(self):
      if not _HAS_XGBOOST:
          return
      if not _HAS_SKLEARN:
          return
  
      # Load data and train model
      scikit_data = load_boston()
      self.X = scikit_data.data.astype("f").astype("d")
      self.dtrain = xgboost.DMatrix(
          scikit_data.data,
          label=scikit_data.target,
          feature_names=scikit_data.feature_names,
      )
      self.feature_names = scikit_data.feature_names
      self.output_name = "target"
  
imports: import itertools
  import unittest
  import pandas
  import pytest
  from coremltools._deps import _HAS_SKLEARN, _HAS_XGBOOST
  from coremltools.models.utils import _is_macos, _macos_version, evaluate_regressor
label_desc: Use image node_id 1 for calling the XgboostBoosterBostonHousingNumericTest obj's underlying member method code with example usage: obj.setUpClass() without return types