Please note that at the moment this integrations does not support
DESCRIBE
and FINETUNE
features.Example
Before creating a popularity recommender model, we need to create an ML engine.SHOW ML_ENGINES
.
Now letβs create a popularity recommender model specifying the necessary input parameters.
- The
item_id
parameter that stores items to be recommended; here, these are movies. - The
user_id
parameter that stores users to whom items are recommended. - The
n_recommendations
parameter stores the number of recommendations to be returned.
Here is how to connect the
mysql_demo_db
used for training the model: