Intel® oneAPI Data Analytics Library Developer Guide and Reference
A newer version of this document is available. Customers should click here to go to the newest version.
Visible to Intel only — GUID: GUID-083D1253-6B15-4C73-805B-317942401919
Visible to Intel only — GUID: GUID-083D1253-6B15-4C73-805B-317942401919
Distributed Processing: Prediction of Ratings
The distributed processing mode assumes that the data set is split in nblocks blocks across computation nodes.
Algorithm Parameters
At the prediction stage, implicit ALS recommender in the distributed processing mode has the following parameters:
Parameter |
Default Value |
Description |
|---|---|---|
computeStep |
Not applicable |
The parameter required to initialize the algorithm. Can be:
|
algorithmFPType |
float |
The floating-point type that the algorithm uses for intermediate computations. Can be float or double. |
method |
defaultDense |
Performance-oriented computation method, the only method supported by the algorithm. |
nFactors |
10 |
The total number of factors. |
Use the one-step computation schema for implicit ALS recommender prediction in the distributed processing mode, as explained below and illustrated by the graphic for
Step 1 - on Local Nodes
Prediction of rating uses partial models, which contain the parts of user factors
In this step, implicit ALS recommender-based prediction accepts the input described below. Pass the Input ID as a parameter to the methods that provide input for your algorithm. For more details, see Algorithms.
Input ID |
Input |
|---|---|
usersPartialModel |
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. |
itemsPartialModel |
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. |
In this step, implicit ALS recommender-based prediction calculates the result described below. Pass the Result ID as a parameter to the methods that access the results of your algorithm. For more details, see Algorithms.
Result ID |
Result |
|---|---|
prediction |
Pointer to the
NOTE:
By default this table is an object of the HomogenNumericTable class, but you can define it as an object of any class derived from NumericTable except PackedTriangularMatrix, PackedSymmetricMatrix, and CSRNumericTable.
|