text: """
  utility script for optimization techniques
  """
  
  from hyperopt import hp, fmin, tpe, Trials
  
  # local
  from foresee.scripts import fitter
  
  
  def tune(train_fact, test_fact, model, params=None, args=None):
      """[summary]
  
      Parameters
      ----------
      train_fact : [type]
          [description]
      test_fact : [type]
          [description]
      model : [type]
          [description]
  
      Returns
      -------
      [type]
          [description]
      """    
  
      ts_train = train_fact['y']
      ts_test = test_fact['y']
      
      tune_class_obj = fitter.tuner(model)
      best, err = tune_class_obj.tune(ts_train, ts_test, params, args)
      
      return best, err