DESCRIBE
and FINETUNE
features.SHOW ML_ENGINES
.
Now let’s create a popularity recommender model specifying the necessary input parameters.
item_id
parameter that stores items to be recommended; here, these are movies.user_id
parameter that stores users to whom items are recommended.n_recommendations
parameter stores the number of recommendations to be returned.mysql_demo_db
used for training the model: