text: #!/usr/bin/env python3
  # -*- coding: utf-8 -*-
  """
  Created on Wed Sep  2 17:23:25 2020
  
  @author: jeremiasknoblauch
  
  Description: File to execute some experiments
  """
  
  from auxiliaries.experiment_auxiliaries import get_data, get_test_performance 
  from npl.likelihood_functions import ProbitLikelihood
  import numpy as np
  
  # set the data path (where is the data stored?)
  data_path = "data/probit/"
  
  # set the save path (where are the results stored?)
  save_path = "data/probit"
  
  # decide which data you want to run the experiments for
  probit_data = ["mammographic_mass", "fourclass", "heart", "haberman", 
          "breast-cancer-wisconsin"]
  
  for d in probit_data:
      X, Y = get_data(data_path, d)
      
      
      # set the parameters for the test performance
      num_splits = 50
      train_proportion = 0.9
      L = ProbitLikelihood()
      B = 100
      
      # run the experiments
      get_test_performance(X, Y, num_splits, train_proportion, L, B, 
                           save_path, d)
  
  