Jack
Jack
8.1下载下来，点plugin设置从硬盘重新安装就可以了，多谢
@markrey @avitorovic @epfldata I hava run Squall in cluster mode, but I don't know where to see the output, do you have any idea?
Yes, of course, I test the first n datasets in LTS paper， and I have set the same hyper parameters as in the paper.
Thank you, I have explicitly set the batch_size=1, but it stiil doesn't work.
I test on BeetleFly dataset as follows: ```Python if __name__ == "__main__": params = util.read_params() # read parameters in LTS paper for i, param in params.items(): dataset_name = param['dname'] if...
> Hi @tcoln > > Thanks for this feedback. I agree with @GillesVandewiele that hyper parameter setting is crucial, and that maybe with your code, we could give a hand....
> Hmm, that is indeed a large difference... This could be due to 2 reasons: > > 1. The datasets are very small... Classifying one instance more or less correctly...
Yes， only on some datasets the code can achieve the results of LTS paper.
> I just ran the code listed below the get the following results (test accuracy of 0.95): > > [LR] TRAIN Accuracy = 1.0 > [LR] TRAIN Logloss = 0.6611554461961124...
> Hi @tcoln > > Thanks for this feedback. I agree with @GillesVandewiele that hyper parameter setting is crucial, and that maybe with your code, we could give a hand....