How to deal with regression task?

[Answerfxy]

Hi Khirotaka,

Thanks for proving the code.
I am a little confused about how to convert the default classification task to the regression one.

As you said in the README file, there are two steps:
Specify the number of output dimensions in num_class.
Inherit class SAnD and overwrite ClassificationModule with RegressionModule.

Am I did correct in the following steps:

1. Cuz it's a regression problem, num_class should be set to 1.
2. Also, I just simply convert ClassificationModule to RegressionModule in the model.py file.

Thanks for your time!

[khirotaka]

There is no problem with the procedure you showed. As a side note, if the output is set to 1, the information one step ahead should be predicted, so if you want to predict future information (for example, 100 steps ahead), you can set num_class = 100.

However, SAnD should have been proposed as a classification model, so you can't tell if regression works until you try it.

[Answerfxy]

There is no problem with the procedure you showed. As a side note, if the output is set to 1, the information one step ahead should be predicted, so if you want to predict future information (for example, 100 steps ahead), you can set num_class = 100.

However, SAnD should have been proposed as a classification model, so you can't tell if regression works until you try it.

Thanks for the explanation about num_class in regression!