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
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…