C++ API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1

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Distributed< step1Local, algorithmFPType, method > Class Template Reference

Performs ridge regression model-based training in the the first step of the distributed processing mode. More...

Class Declaration

template<typename algorithmFPType, Method method>
class daal::algorithms::ridge_regression::training::interface1::Distributed< step1Local, algorithmFPType, method >

Template Parameters
algorithmFPTypeData type to use in intermediate computations for ridge regression model-based training, double or float
methodRidge regression training method, Method
Enumerations
References

Constructor & Destructor Documentation

Distributed ( )
inline

Default constructor

Distributed ( const Distributed< step1Local, algorithmFPType, method > &  other)
inline

Constructs a ridge regression training algorithm in the first step of the distributed processing mode by copying input objects and parameters of another ridge regression training algorithm

Parameters
[in]otherAlgorithm to use as the source to initialize the input objects and parameters of the algorithm

Member Function Documentation

services::SharedPtr<Distributed<step1Local, algorithmFPType, method> > clone ( ) const
inline

Returns a pointer to a newly allocated ridge regression training algorithm with a copy of the input objects and parameters of this ridge regression training algorithm in the first step of the distributed processing mode

Returns
Pointer to the newly allocated algorithm

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

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