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

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 ( )
inline

Default constructor

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

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
virtual DAAL_DEPRECATED_VIRTUAL BaseParameter* getParameter ( )
pure virtual

Returns the pointer to parameter

Returns
Pointer to parameter
Deprecated:
This item will be removed in a future release. Use BatchImpl::parameter instead.

Implemented in Batch< algorithmFPType, method >.

ResultPtr getResult ( )
inline

Returns the structure that contains correlation or variance-covariance matrix

Returns
Structure that contains the computed matrix
virtual BaseParameter& parameter ( )
pure virtual

Returns the pointer to parameter

Returns
Pointer to parameter

Implemented in Batch< algorithmFPType, method >.

virtual const BaseParameter& parameter ( ) const
pure virtual

Returns the pointer to parameter

Returns
Pointer to parameter

Implemented in Batch< algorithmFPType, method >.

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

InputType input

Input data structure


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

For more complete information about compiler optimizations, see our Optimization Notice.