class_docstr: Base class for Gaussian processes. 
class_docstr_tok: ["Base","class","for","Gaussian","processes","."]
docstr: Sets the data to X and Y. 
docstr_tok: ["Sets","the","data","to","X","and","Y","."]
code: def set_data(self, X, Y, build_posterior=True):
      """Sets the data to X and Y."""
      self.X = list(X)
      self.Y = list(Y)
      self.num_tr_data = len(self.Y)
      if build_posterior:
          self.build_posterior()
  
imports: from __future__ import division
  from argparse import Namespace
  from itertools import product
  import sys
  import numpy
  from ..distributions.model import Model
  from ..distributions import continuous
  from ..distributions import discrete
  from ..utils.general_utils import stable_cholesky, draw_gaussian_samples, project_symmetric_to_psd_cone, solve_lower_triangular, solve_upper_triangular
  from ..utils.oper_utils import direct_ft_maximise, pdoo_maximise, random_maximise, random_sample_cts_dscr
  from ..utils.option_handler import get_option_specs, load_options
  from ..utils.reporters import get_reporter
label_desc: Use image node_id 4 for calling the GP obj's underlying member method code with example usage: obj.set_data(X, Y, build_posterior) without return types