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

List of all members
OnlineImpl Class Referenceabstract

Abstract class that specifies interface of the algorithms for computing correlation or variance-covariance matrix in the online processing mode. More...

Class Declaration

Constructor & Destructor Documentation

OnlineImpl ( )
inline

Default constructor

OnlineImpl ( const OnlineImpl other)
inline

Constructs an algorithm for correlation or variance-covariance matrix computation by copying input objects and parameters of another algorithm for correlation or variance-covariance matrix computation

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<OnlineImpl> clone ( ) const
inline

Returns a pointer to the newly allocated algorithm for correlation or variance-covariance matrix computation with a copy of input objects and parameters of this algorithm for correlation or variance-covariance matrix computation

Returns
Pointer to the newly allocated algorithm
PartialResultPtr getPartialResult ( )
inline

Returns the structure that contains partial results of the correlation or variance-covariance matrix algorithm

Returns
Structure that contains partial results
ResultPtr getResult ( )
inline

Returns the structure that contains final results of the correlation or variance-covariance matrix algorithm

Returns
Structure that contains the final results
virtual services::Status setPartialResult ( const PartialResultPtr &  partialResult,
bool  initFlag = false 
)
inlinevirtual

Registers user-allocated memory to store partial results of the correlation or variance-covariance matrix algorithm

Parameters
[in]partialResultStructure to store partial results
[in]initFlagFlag that specifies whether the partial results are initialized
virtual services::Status setResult ( const ResultPtr &  result)
inlinevirtual

Registers user-allocated memory to store final results of the correlation or variance-covariance matrix algorithm

Parameters
[in]resultStructure to store the results

Member Data Documentation

InputType input

Input data structure

ParameterType parameter

Parameter structure


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

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