Container for the model learned using any matrix factorization algorithm.
The algorithm denominator, of class
the dataset used for training the model, class
user(U) and items(V) factors, class
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
signature(object = "SVDclass")
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