Prediction of Ratings
Algorithm Parameters
Parameter

Default Value

Description
 

computeStep 
Not applicable

The parameter required to initialize the algorithm. Can be:
 
algorithmFPType 
float 
The floatingpoint type that the algorithm uses for intermediate computations. Can be
float
or
double
.
 
method 
defaultDense 
Performanceoriented computation method, the only method supported by the algorithm.
 
nFactors 
10

The total number of factors.

Step 1  on Local Nodes
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.

Result ID

Result
 

prediction 
Pointer to the
m _{
i}
x
n _{
j}
numeric table with predicted ratings. 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
.
