SVD model.

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Description

Container for the model learned using any matrix factorization 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".

parameters:

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

Methods

show

signature(object = "SVDclass")

See Also

rrecsys.