Distributed Processing: Prediction of Ratings
The parameter required to initialize the algorithm. Can be:
The floating-point type that the algorithm uses for intermediate computations. Can be
Performance-oriented computation method, the only method supported by the algorithm.
The total number of factors.
Step 1 - on Local Nodes
The partial model trained by the implicit ALS algorithm in the distributed processing mode. Stores user factors that correspond to the
i-th data block.
The partial model trained by the implicit ALS algorithm in the distributed processing mode. Stores item factors that correspond to the
j-th data block.
Pointer to the numeric table with predicted ratings.
By default this table is an object of the
HomogenNumericTableclass, but you can define it as an object of any class derived from