As you can see in the workflow attached using H2O Pojo model it is possible to learn on some categories (and store the model), and then predict on new categories not seen in learning phase using the stored model.
But unfortunately this is not possible with the Mojo model (ERROR Unknown categorical level). This makes the Mojo model useless on new data. And the traditional POJO model is too slow to be used in production.
Could you do something to enable the Mojo model to be used on new category like the POJO model?
Thanks in advance
H2O Pojo to Mojo_v5.knwf (243.5 KB)