wALSclass: Weighted Alternating Least Squares based model.

In ludovikcoba/rrecsys: Environment for Evaluating Recommender Systems

Weighted Alternating Least Squares based model.

Description

Container for the model learned using any weighted Alternating Least Squares based algorithm.

Slots

alg:

The algorithm denominator, of class "character".

data:

the dataset used for training the model, class "matrix".

factors:

user(U) and items(V) factors, class "list".

weightScheme:

The weighting scheme used in updating the factors, class "matrix".

parameters:

the parameters(such as number of factors k, learning rate lambda, number of iterations until convergence and the weighting scheme) used in the model, class "list".

Methods

show

signature(object = "wALSclass")

See Also

rrecsys.

ludovikcoba/rrecsys documentation built on May 17, 2022, 2:33 a.m.