old_contents: """
  EXAMPLE SCRIPT:
  Project creation and publishing
  
  Creates a machine learning project using Server, creates the project save environment,
  imports the training dataset, creates and fits models, selects the best models for each
  build node, and publishes the project to a '.project' file
  """
  
  from ecnet.server import Server
  
  # Create the Server
  sv = Server()
  
  # Create project save environment
  sv.create_save_env()
  
  # Import data from config. dataset
  sv.import_data()
  
  # Fits models for each node in each build, shuffling learn and validate sets between trials
  sv.fit_mlp_model_validation('shuffle_lv')
  
  # Selects the best performing model from each build's node
  sv.select_best()
  
  # Saves the project environment to a '.project' file
  sv.publish_project()
  
new_contents: """
  EXAMPLE SCRIPT:
  Project creation and publishing
  
  Creates a machine learning project using Server, creates the project save environment,
  imports the training dataset, creates and fits models, selects the best models for each
  build node, and publishes the project to a '.project' file
  """
  
  from ecnet.server import Server
  
  # Create the Server
  sv = Server()
  
  # Create project save environment
  sv.create_save_env()
  
  # Import data from config. database
  sv.import_data()
  
  # Fits models for each node in each build, shuffling learn and validate sets between trials
  sv.fit_mlp_model_validation('shuffle_lv')
  
  # Selects the best performing model from each build's node
  sv.select_best()
  
  # Saves the project environment to a '.project' file
  sv.publish_project()
  
subject: Update create_project.py