Java* API Reference for Intel® Data Analytics Acceleration Library 2019

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Runs the implicit ALS training algorithm in the second step of the distributed processing mode. More...

Class Constructor

Constructs the implicit ALS training algorithm in the second step of the distributed processing mode by copying input objects and parameters of another implicit ALS training algorithm

Parameters
contextContext to manage the implicit ALS training algorithm
otherAn algorithm to be used as the source to initialize the input objects and parameters of the algorithm
DistributedStep2Master ( DaalContext  context,
Class<?extends Number >  cls,
TrainingMethod  method 
)

Constructs the implicit ALS training algorithm in the second step of the distributed processing mode

Parameters
contextContext to manage the implicit ALS training algorithm
clsData type to use in intermediate computations for the implicit ALS training algorithm, Double.class or Float.class
methodImplicit ALS computation method, TrainingMethod

Detailed Description

Member Function Documentation

DistributedStep2Master clone ( DaalContext  context)

Returns the newly allocated ALS training algorithm in the second step of the distributed processing mode with a copy of input objects and parameters of this ALS training algorithm

Parameters
contextContext to manage the implicit ALS training algorithm
Returns
The newly allocated algorithm

Computes partial results of the implicit ALS training algorithm obtained in the second step of the distributed processing mode

Returns
Partial results of the implicit ALS training algorithm obtained in the second step of the distributed processing mode
void setPartialResult ( DistributedPartialResultStep2  partialResult)

Registers user-allocated memory to store partial results of the implicit ALS training algorithm obtained in the second step of the distributed processing mode

Parameters
partialResultStructure to store partial results of the implicit ALS training algorithm obtained in the second step of the distributed processing mode

Member Data Documentation

Input data

Training method for the algorithm

Parameter parameter

Parameters of the algorithm


The documentation for this class was generated from the following file:

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