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

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Distributed< step2Master, algorithmFPType, method > Class Template Reference

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

Class Declaration

template<typename algorithmFPType, Method method>
class daal::algorithms::linear_regression::training::interface1::Distributed< step2Master, algorithmFPType, method >

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

Constructor & Destructor Documentation

Distributed ( )
inline

Default constructor

Distributed ( const Distributed< step2Master, algorithmFPType, method > &  other)
inline

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

Parameters
[in]otherAn algorithm to be used as the source to initialize the input objects and parameters of the algorithm

Member Function Documentation

services::SharedPtr<Distributed<step2Master, algorithmFPType, method> > clone ( ) const
inline

Returns a pointer to 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

Returns
Pointer to the newly allocated algorithm
virtual int getMethod ( ) const
inlinevirtual

Returns the method of the algorithm

Returns
Method of the algorithm
PartialResultPtr getPartialResult ( )
inline

Returns the structure that contains a partial result of linear regression model-based training

Returns
Structure that contains a partial result of linear regression model-based training
ResultPtr getResult ( )
inline

Returns the structure that contains the result of linear regression model-based training in the second step of the distributed processing mode

Returns
Structure that contains the result of linear regression model-based training in the second step of the distributed processing mode
services::Status setPartialResult ( const PartialResultPtr &  partialResult)
inline

Registers user-allocated memory to store a partial result of linear regression model-based training

Parameters
[in]partialResultStructure to store a partial result of linear regression model-based training
Returns
Status of computations
services::Status setResult ( const ResultPtr &  res)
inline

Registers user-allocated memory to store the result of linear regression model-based training

Parameters
[in]resStructure to store the result of linear regression model-based training
Returns
Status of computations

Member Data Documentation

Input data structure

ParameterType parameter

Training parameters


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

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