Hi @bwengals
Should we not re-run
with model:
f_pred = gp.conditional('f_pred', X_New_shared, shape=(different_X_New.shape[0], ))
every time I need to predict? However, everytime this function is run, it needs a new variable.
Hi @bwengals
Should we not re-run
with model:
f_pred = gp.conditional('f_pred', X_New_shared, shape=(different_X_New.shape[0], ))
every time I need to predict? However, everytime this function is run, it needs a new variable.