Java* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 4

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TrainingDistributedStep2Master Class Reference

Runs linear regression model-based training in the second step of the distributed processing mode. More...

Class Constructor

Constructs a linear regression training algorithm by copying input objects and parameters of another linear regression training algorithm

Parameters
contextContext to manage linear regression model-based training
otherAlgorithm to use as the source to initialize the input objects and parameters of the algorithm
TrainingDistributedStep2Master ( DaalContext  context,
Class<?extends Number >  cls,
TrainingMethod  method 
)

Constructs the linear regression training algorithm in the second step of the distributed processing mode

Parameters
contextContext to manage linear regression model-based training
clsData type to use in intermediate computations of linear regression, Double.class or Float.class
methodAlgorithm computation method, TrainingMethod

Detailed Description

References

Member Function Documentation

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

Parameters
contextContext to manage linear regression model-based training
Returns
Newly allocated algorithm
PartialResult compute ( )

Computes a partial result of linear regression model-based training in the second step of the distributed processing mode

Returns
Partial result of linear regression model-based training in the second step of the distributed processing mode
TrainingResult finalizeCompute ( )

Computes the result of linear regression model-based training in the second step of the distributed processing mode

Returns
Result of linear regression model-based training 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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