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

Distributed< step, algorithmFPType, method > Class Template Reference

Computes correlation or variance-covariance matrix in the distributed processing mode. More...

Class Declaration

template<ComputeStep step, typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
class daal::algorithms::covariance::interface1::Distributed< step, algorithmFPType, method >

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

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

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