C++ API Reference for Intel® Data Analytics Acceleration Library 2018 Update 2

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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() [1/2]

Distributed ( )
inline

Default constructor

◆ Distributed() [2/2]

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

◆ clone()

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

◆ getMethod()

virtual int getMethod ( ) const
inlinevirtual

Returns the method of the algorithm

Returns
Method of the algorithm

Implements AlgorithmIface.

◆ getPartialResult()

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

◆ getResult()

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

◆ setPartialResult()

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

◆ setResult()

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

Input data structure

◆ parameter

ParameterType parameter

Training parameters


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

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