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.
code: def get_fmin(self):
      return self.model.predict(self.X).min()
  
file_path: GPyOpt/GPyOpt/models/rfmodel.py
imports: from .base import BOModel
  import numpy
label_desc: Use image node_id 5 for calling the RFModel obj's underlying member method code with example usage: obj.get_fmin() and returns: self