maml.py

def MAML(**params):
  
  while True:
    score, within_constraints = define_problem(**params)
    data = collect_data() # TODO: Split in train/test?
    model = simple_model(data)
    assert within_constraints(model)
    model_score = score(model, data)
    
    while True:
      data = more_and_or_better_data_if_available()
      model = improve_model(data)
      if within_constraints(model) and score(model, data) > model_score:
        model_score = score(model, data)
      else:
        params, params_updated = update_params()
    
    if not params_updated:
      break
      
  return model