Java* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5
Runs linear regression model-based training in the first step of the distributed processing mode. More...
TrainingDistributedStep1Local | ( | DaalContext | context, |
TrainingDistributedStep1Local | other | ||
) |
Constructs a linear regression training algorithm by copying input objects and parameters of another linear regression training algorithm in the first step of the distributed processing mode
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 |
TrainingDistributedStep1Local | ( | DaalContext | context, |
Class<?extends Number > | cls, | ||
TrainingMethod | method | ||
) |
Constructs the linear regression algorithm in the first 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 |
TrainingDistributedStep1Local 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 first step of the distributed processing mode
context | Context to manage linear regression model-based training |
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