parameters: (self, sampled_points)
docstring: r"""Add a sampled points (point, value, noise) to the GP's prior data.
  
          Also forces recomputation of all derived quantities for GP to remain consistent.
  
          :param sampled_points: SamplePoint objects to load into the GP (containing point, function value, and noise variance)
          :type sampled_points: single :class:`moe.optimal_learning.python.SamplePoint` or list of SamplePoint objects
docstring_summary: r"""Add a sampled points (point, value, noise) to the GP's prior data.
docstring_tokens: r Add a sampled points ( point value noise ) to the GP s prior data .
function: def add_sampled_points(self, sampled_points):
          r"""Add a sampled points (point, value, noise) to the GP's prior data.
  
          Also forces recomputation of all derived quantities for GP to remain consistent.
  
          :param sampled_points: SamplePoint objects to load into the GP (containing point, function value, and noise variance)
          :type sampled_points: single :class:`moe.optimal_learning.python.SamplePoint` or list of SamplePoint objects
  
          """
          pass
function_tokens: def add_sampled_points ( self , sampled_points ) : pass