Hi,
I have fit a bunch of VariationalSparseGP models to data (X, y)
and saved the result with torch.save(vsgp.state_dict(), path)
. Now I would like to load that model again and make predictions on new data X'
. From reading the docs, it is not obvious to me how I should go about doing this.
Do I need to reinitialize the vsgp
from scratch (i.e. with the same X
and y
I input when I initialized it for training) and then do vsgp.load(path)
? That doesn’t seem accurate to me, as I don’t need the training data anymore. But I don’t really know what to do besides that…
Thanks.