To add a rating of a user on a certain item and add it to redis database
To train the model in a number of epoches
To load a pre-saved model
if your data does not already have a DataBlock, only recommendItem method will work
To retrieve the k similar items of an item
To retrieve the k similar users of a user
To add a new item embedding in the model. The embedding is generated based on the mean of the other item latent factors.
To add a new user embedding in the model. The embedding is generated based on the mean of the other users latent factors.
To recommend k items for a user given their ID
To save the architecture and the weights and id Maps of the model in a given path
Setting an optimizer for leaner
Use this when a user view an item but did not rate it, allowing pprec to not re-recommend this item
Generated using TypeDoc
Learner is an api which allows you to create, edit and train your model in few lines.