Java* API Reference for Intel® Data Analytics Acceleration Library 2018 Update 3
Runs linear regression model-based training in the second step of the distributed processing mode. More...
TrainingDistributedStep2Master | ( | DaalContext | context, |
TrainingDistributedStep2Master | other | ||
) |
Constructs a linear regression training algorithm by copying input objects and parameters of another linear regression training algorithm
context | Context to manage linear regression model-based training |
other | Algorithm 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
context | Context to manage linear regression model-based training |
cls | Data type to use in intermediate computations of linear regression, Double.class or Float.class |
method | Algorithm computation method, TrainingMethod |
TrainingDistributedStep2Master clone | ( | DaalContext | context | ) |
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
context | Context to manage linear regression model-based training |
PartialResult compute | ( | ) |
Computes a 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
Input data
TrainingMethod method |
Training method for the algorithm
Parameter parameter |
Parameters of the algorithm
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