Uploading two Vertically Partitioned Data for Vertical Learning?

Hello @chaoyanghe,

I am not sure how I can upload multiple vertically partitioned dataset.
I have two datasets with one with data+ label and another only with data of different features(with some overlapping sample ID).
How should I update the torch_client.py parameters? Any examples on specifying data loader on multiple datasets ?
Moreover, If I customize model and data, would I be able to still use one_line method ?

Thank you so much !