def run_trial_with_objective(objective_type_data):
"""Run a trial given the combination of the objective type and dataset"""
objective_type, data = objective_type_data
print("Learning with squared error + fairness_{}".format(objective_type))
types = set([objective_type])
if objective_type == 'Over+Under':
types = set(['Underestimation', 'Overestimation'])
learner = Learner(data, d, lam=1e-3)
learner.learn(types, epochs=epoch, display=False)
#######################
# Evaluating
#######################
eval = Evaluator(data, learner)
result_testing = eval.error_fairness()
result_training = eval.error_fairness_training()
return result_testing, result_training
