I’m confused on the process of how categorical embeddings from a NN can be concatenated with continuous variables and used in a Random Forest. Specifically embedding shape (rows) do not fit that of the original input (e.g.
learn.model.embeds.parameters(). , thus I’m unclear how these can be concatenated to form the X for a new model such as a RandomForest.
Please forgive my ignorance, as although this topic was raised a few times, I cannot find an explanation of the steps with fastai.