|class||RegularizedSVD< OptimizerType >|
|Regularized SVD is a matrix factorization technique that seeks to reduce the error on the training set, that is on the examples for which the ratings have been provided by the users. More...|
Linear algebra utility functions, generally performed on matrices or vectors.
An implementation of Regularized SVD.
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Definition in file regularized_svd.hpp.