-
Notifications
You must be signed in to change notification settings - Fork 0
Description
Hello! Thank you so much for sharing the code. Great Work!
I have read your code and have two questions.
-
I find in the paper you say that the scoring functinon penalizes the late predictions more. That means when
y_pred-y_ture=d>0, we will get a larger value. Wheny_pred-y_ture=-d<0, we will get a smaller value. But I find whend>0,a2=13rather than10. So is there something wrong in the setting of the function? I find in some other papers they seta2=10 -
In file Main_MultipleCondts.ipynb, it seems there exists a error that
norm_x_train = WorkRegimenNorm(data=cut_train, full_data = x_train, parameters_mean_list=parameters_mean_list, parameters_std_list=parameters_mean_list, cluster_labels=train_cluster_labels, no_clusters=6)
parameters_std_list=parameters_mean_listseems wrong.
Thanks again for your sharing!