class_docstr: Search space for numeric hyperparameter that takes integer values.
  
  Parameters
  ----------
  lower : int
      The lower bound of the search space (minimum possible value of hyperparameter)
  upper : int
      The upper bound of the search space (maximum possible value of hyperparameter)
  default : int (optional)
      Default value tried first during hyperparameter optimization
  
  
  Examples
  --------
  >>> range = Int(0, 100)
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code: def convert_to_sklearn(self):
      from scipy.stats import randint
  
      return randint(self.lower, self.upper + 1)
  
label_desc: Use image node_id 2 for calling the Int obj's underlying member method code with example usage: obj.convert_to_sklearn() and returns: randint