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

List of all members
BatchImpl Class Referenceabstract

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

Class Declaration

Constructor & Destructor Documentation

◆ BatchImpl() [1/2]

BatchImpl ( )
inline

Default constructor

◆ BatchImpl() [2/2]

BatchImpl ( const BatchImpl 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

◆ clone()

services::SharedPtr<BatchImpl> 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

◆ getResult()

ResultPtr getResult ( )
inline

Returns the structure that contains correlation or variance-covariance matrix

Returns
Structure that contains the computed matrix

◆ setResult()

virtual services::Status setResult ( const ResultPtr result)
inlinevirtual

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

Parameters
[in]resultStructure to store the results

Member Data Documentation

◆ input

InputType input

Input data structure

◆ parameter

ParameterType parameter

Parameter structure


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

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