parameters: (self)
return_statement: return copy.deepcopy(self._historical_data)
docstring: Return the data (points, function values, noise) specifying the prior of the Gaussian Process.
  
          :return: object specifying the already-sampled points, the objective value at those points, and the noise variance associated with each observation
          :rtype: data_containers.HistoricalData
docstring_summary: Return the data (points, function values, noise) specifying the prior of the Gaussian Process.
docstring_tokens: Return the data ( points function values noise ) specifying the prior of the Gaussian Process .
function: def get_historical_data_copy(self):
          """Return the data (points, function values, noise) specifying the prior of the Gaussian Process.
  
          :return: object specifying the already-sampled points, the objective value at those points, and the noise variance associated with each observation
          :rtype: data_containers.HistoricalData
  
          """
          return copy.deepcopy(self._historical_data)
function_tokens: def get_historical_data_copy ( self ) : return copy . deepcopy ( self . _historical_data )