def run():
print('\n加载训练数据')
train_ds = DataSource.DataSource(train_data_index,train_data_zip);
model = BPModel(feature_size,label_size,hidden_size,act_func,rou);
if need_train:
print('\n开始训练')
model.train(train_ds, learn_rate, steps, batch_size,load_values);
print('\n开始测试')
train_ds.reload_index(test_data_index);
print('开始测试输出')
_,py,y=model.calculate(train_ds);
print('开始评价')
evel(py,y);
if need_result_out:
print('\n开始加载比赛数据集')
result_ds=DataSource.DataSource(result_test_index,result_test_data_zip);
indexids=result_ds.getAllIndexID();
print('计算比赛数据')
py=model.cal_py_out(result_ds);
print('创建比赛文件')
DataSetProcess.create_result_csv(indexids, py, result_test_out_path);
pass;
def run():
print('\n加载训练数据')
train_ds = DataSource.DataSource(train_data_index, train_data_zip)
if need_train:
print('\n开始训练')
train_ae(train_ds, )
# print('\n开始测试')
# train_ds.reload_index(test_data_index);
# print('开始测评')
# evel(train_ds);
if need_result_out:
print('\n开始加载比赛数据集')
result_ds = DataSource.DataSource(result_test_index,
result_test_data_zip)
indexids = result_ds.getAllIndexID()
print('计算比赛数据')
py = calculate(result_ds)
print('创建比赛文件')
DataSetProcess.create_result_csv(indexids, py, result_test_out_path)
pass