I have such training data X															 user_id															 item_id	score 0	d1d1dad9-af15-4bc6-9066-5bc39a830eb0	10034e91-1698-4f16-9cc2-483aa2e84372			1 1	d1d1dad9-af15-4bc6-9066-5bc39a830eb0	22ca0dc8-1607-4f48-bef3-84a267607cf5			1 2	d1d1dad9-af15-4bc6-9066-5bc39a830eb0	396a1d47-ca8f-4189-8526-85e40875c363		 35 3	d1d1dad9-af15-4bc6-9066-5bc39a830eb0	4827fb22-4bd1-47f8-aee4-fb45b8900cb6			1 4	f69df0fd-3b7e-489d-9197-28d94be3d281	53fb60b1-7d6c-473f-91bf-42fd670ae055			6 5	8730655f-b7b9-4d36-a4c2-f48e866e4533	53fb60b1-7d6c-473f-91bf-42fd670ae055			1 6	d1d1dad9-af15-4bc6-9066-5bc39a830eb0	53fb60b1-7d6c-473f-91bf-42fd670ae055			1 7	9155b83d-d443-46d8-a24d-cff329eb0d07	73bfd56b-b799-43cd-b17b-4ef259d18fcc		 35 8	d1d1dad9-af15-4bc6-9066-5bc39a830eb0	be9d114d-2a16-4e24-b142-44fc97351cc6			1 9	d1d1dad9-af15-4bc6-9066-5bc39a830eb0	d8ab8d67-7efa-4370-b7d0-6d176c81901f			1 and while trying to train MLRecommender model I get such error: Item IDs in the recommender model must be numbered 0, 1, ..., numitems - 1 when I do not use score column as rating model is trained, but this score data is very important. I tried to mock with "dummy" userid which scores 0 to every itemids and "dummy" itemid which is scored by all user_ids but this did not fixed model training error. How then train my model with above data?