Created by: weiyuze

通过test_data_path指定了测试数据，测试样本大概有3000多万；

cluster_config(
        fs_name="",
        fs_ugi="",
        train_data_path="",
        test_data_path="",
        output_path=",
)

加载测试数据的日志，显示加载了33622个样本，总共有1000个这样规模的part

Fri Jun 16 18:48:49 2017[1,28]<stdout>:0 inst loaded
Fri Jun 16 18:48:49 2017[1,43]<stdout>:33622 all data loaded

但是，问题来了，训练过程中，打出的日志可以看出，参与测试的样本只有1110000个，与指定的测试样本差异巨大；这是什么问题？ 查看workspace目录下test_data_path下的数据，与配置中指定的测试数据一致

I0616 19:02:43.990978 28735 Tester.cpp:111]  Test samples=1110000 cost=0.460042 Eval: classification_error_15min=0.0386514 positive_label=0 precision=0.974028 recall=0.992194 F1-score=0.983027 positive_label=1 precision=0.566085 recall=0.324633 F1-score=0.412633 positive_label=2 precision=0.653608 recall=0.544981 F1-score=0.594372 classification_error_30min=0.0415784 positive_label=0 precision=0.971718 recall=0.991218 F1-score=0.981371 positive_label=1 precision=0.538024 recall=0.308805 F1-score=0.392392 positive_label=2 precision=0.605387 recall=0.454104 F1-score=0.518945 classification_error_45min=0.0431766 positive_label=0 precision=0.971818 recall=0.989658 F1-score=0.980657 positive_label=1 precision=0.510215 recall=0.329872 F1-score=0.400686 positive_label=2 precision=0.586656 recall=0.41121 F1-score=0.483509 classification_error_60min=0.0428378 positive_label=0 precision=0.97073 recall=0.990619 F1-score=0.980574 positive_label=1 precision=0.529627 recall=0.300821 F1-score=0.383704 positive_label=2 precision=0.579775 recall=0.427326 F1-score=0.492012 
I0616 19:02:43.991206 28735 GradientMachine.cpp:112] Saving parameters to ./output/pass-00000-001
I0616 19:02:43.996541 28735 Util.cpp:213] copy conf/trainer_config.conf to ./output/pass-00000-001