How to use ensemble of models in FM or FFM?

Question

I am using Factorization Machines ( libfm) and also the Field Aware Factorization Machines (libffm) for a kaggle competition. I am currently using the single models of each respectively for prediction. I came to know that we can use ensemble of models for both FM and FFM. Can someone explain how this is done ?

Answer 1

Most ensembling methods are independent from the internals of individual models, e.g. something like majority voting, bagging or model stacking can be directly applicable to any model.

Note: this was originally a comment to the OP.