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I would like to ask is there a available settings or possibility that CUTS_Plus could be trained to without causal groundtruth graphs. So in this cases we can save the graphs generated by the model, and use svm to classify like for gender classification?
Thanks a lot,
The text was updated successfully, but these errors were encountered:
Dear Authors,
I would like to ask is there a available settings or possibility that CUTS_Plus could be trained to without causal groundtruth graphs. So in this cases we can save the graphs generated by the model, and use svm to classify like for gender classification?
Thanks a lot,
The text was updated successfully, but these errors were encountered: