old_contents: """
  EXAMPLE SCRIPT:
  Using a pre-existing project to obtain results
  
  Imports a pre-existing project to the Server environment, imports a testing
  dataset, obtain results and errors for testing dataset
  """
  
  from ecnet.server import Server
  
  
  # Create the Server
  sv = Server()
  
  # Opens pre-existing project
  sv.open_project('cn_v1.0_project')
  
  # Import a new set to predict values for
  sv.import_data('testing_data.csv')
  
  # Grab results (for whole set)
  results = sv.use_mlp_model()
  
  # Save results to file
  sv.output_results(results, 'testing_results.csv')
  
  # Compute and print errors (for whole set)
  errors = sv.calc_error('rmse','r2','mean_abs_error','med_abs_error')
  print(errors)
  
new_contents: """
  EXAMPLE SCRIPT:
  Using a pre-existing project to obtain results
  
  Imports a pre-existing project to the Server environment, imports a testing
  dataset, obtain results and errors for testing dataset
  """
  
  from ecnet.server import Server
  
  
  # Create the Server
  sv = Server()
  
  # Opens pre-existing project
  sv.open_project('cn_v1.0_project')
  
  # Import a new set to predict values for
  sv.import_data('testing_data.csv')
  
  # Grab results (for whole set)
  results = sv.use_mlp_model()
  
  # Save results to file
  sv.output_results(results, filename='testing_results.csv')
  
  # Compute and print errors (for whole set)
  errors = sv.calc_error('rmse','r2','mean_abs_error','med_abs_error')
  print(errors)
  
subject: Update use_project.py