class_docstr: General class for handling a Random Forest in GPyOpt.
  
  .. Note:: The model has beed wrapper 'as it is' from  Scikit-learn. Check
  http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestRegressor.html
  for further details.
docstr: Updates the model with new observations.
code: def updateModel(self, X_all, Y_all, X_new, Y_new):
      """
      Updates the model with new observations.
      """
      self.X = X_all
      self.Y = Y_all
      if self.model is None:
          self._create_model(X_all, Y_all)
      else:
          self.model.fit(X_all, Y_all.flatten())
  
file_path: GPyOpt/GPyOpt/models/rfmodel.py
imports: from .base import BOModel
  import numpy
label_desc: Use image node_id 3 for calling the RFModel obj's underlying member method code with example usage: obj.updateModel(X_all, Y_all, X_new, Y_new) without return types