code: def setup(self):
      np.random.seed(13)
      self.n = 10
      self.p = 10
      self.X_regression = np.random.randn(self.n, self.p)
      self.y_regression = (
          self.X_regression[:, 0] + np.random.randn(self.n) * 0.01
      )
  
file_path: imodels/tests/regression_test.py
imports: from functools import partial
  import numpy
  import pytest
  from sklearn.ensemble import RandomForestRegressor
  from sklearn.tree import DecisionTreeRegressor
  from imodels import RuleFitRegressor, SLIMRegressor, GreedyTreeRegressor, HSTreeRegressor, HSTreeRegressorCV, FIGSRegressor, DistilledRegressor, TaoTreeRegressor, BoostedRulesRegressor, TreeGAMRegressor, MarginalShrinkageLinearModelRegressor
label_desc: Use image node_id 1 for calling the TestClassRegression obj's underlying member method code with example usage: obj.setup() without return types