fp1_neural_hypopt_rxn_predict.py 文件源码

def myFunc(params):
    print '########################'
    global run_counter
    print '{} run out of {}'.format(run_counter+1, max_num_runs)

    start_time = time.time()
    print params
    acc= hyperopt_train_test(params)

    print '\nend time: {}'.format(time.time() - start_time)
    run_counter += 1
    return {'loss': acc, 'status':STATUS_OK }


#!# uniform fp length? Should be integer...