% implements Param_Est, returns the parameters for each Multivariate Gaussian
% (m1: learned mean of features for class 1, m2: learned mean of features
% for class 2, S1: learned covariance matrix for features of class 1, 
% S2: learned covariance matrix for features of class 2)
function [m1 m2 S1 S2] = Param_Est(training_data, training_labels, part)
    
  % Parameter estimation for 3 different models described in homework
  if(strcmp(part, '3'))
  % TODO: compute parameters for model 3

  elseif(strcmp(part, '2'))
  % TODO: compute parameters for model 2
    
  elseif(strcmp(part, '1'))
  % TODO: compute parameters for model 1
  end
  
end % Function end