Training Multiple Buildings: Window GRU with REDD dataset

[VidipG]

Hello!
I am attempting to use your implementation of the WindowGRU algorithm to train across multiple houses.
The following is how the code is structured,

I am having issues with the test section and the disaggregate method, and am not sure how to proceed.
I am working on python 3.7 on Mac OS X.

Thank you!

[chenyuliang1996]

Have you solved this problem?

[OdysseasKr]

The issue here is that the third parameter for the disaggregate should be a single ElecMeter but you are passing a list of ElecMeters. The third parameter for the disaggregate function is used only to get the metadata for the output meter. So you can fix this issue like this:

disaggregator.disaggregate(test_mains, output, train_meter[0], sample_period=1)

Admittedly the documentation is not clear on this and it should be mentioned explicitly.