Use learned embeddings from tabular learner with a random forest

[Pak (Pavel)]

Accidentally I’ve described exactly that here

Some useful functions for tabular models

Use learnt embedding in Random Forest But I would like to start with something else (not exactly data interpretation). As I’ve managed to get the inner representation of the dataframe I’ve immediatily thought if I could use it as an input for Random Forest (to use embedding info in RF). So I’ve made a couple of functions that can do exactly that (remember that it uses functions from the previous post) def emb_fwrd_sim(model, x_cat:Tensor, x_cont:Tensor)->Tensor: ''' Part t…

Hope it will help