code: def build_Scikit_Model(self):
      import xgboost as xgb
  
      import sklearn.svm as svm
  
      lXGBOptions = self.mOptions.mXGBOptions
      if lXGBOptions is None:
          lXGBOptions = self.get_default_xgb_options()
  
      self.mScikitModel = xgb.XGBRegressor(**lXGBOptions)
  
imports: import numpy
  import pandas
  from .None import SignalDecomposition_AR
  from .None import Utils
  import sys
label_desc: Use image node_id 4 for calling the cXGBoost_Model obj's underlying member method code with example usage: obj.build_Scikit_Model() without return types