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

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DistributedIface< step1Local > Class Template Referenceabstract

Interface for correlation or variance-covariance matrix computation algorithms in the distributed processing mode on local nodes. More...

Class Declaration

template<>
class daal::algorithms::covariance::interface1::DistributedIface< step1Local >

Template Parameters
stepStep of distributed processing, ComputeStep
algorithmFPTypeData type to use in intermediate computations of the correlation or variance-covariance matrix, double or float
methodComputation method, daal::algorithms::covariance::Method
Enumerations
  • Method Computation methods for correlation or variance-covariance matrix
  • InputId Identifiers of input objects for the correlation or variance-covariance matrix algorithm
  • MasterInputId Identifiers of input objects for the correlation or variance-covariance matrix algorithm on master node
  • PartialResultId Identifiers of partial results for the correlation or variance-covariance matrix algorithm
  • ResultId Identifiers of final results of the correlation or variance-covariance matrix algorithm
References

Constructor & Destructor Documentation

DistributedIface ( )
inline

Default constructor

DistributedIface ( const DistributedIface< step1Local > &  other)
inline

Constructs an algorithm for correlation or variance-covariance matrix computation in the distributed processing mode on local node 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<DistributedIface<step1Local> > clone ( ) const
inline

Returns a pointer to the newly allocated algorithm for correlation or variance-covariance matrix computation in the distributed processing mode on local node 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

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

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