Java* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5

List of all members
DistributedIface Class Referenceabstract

Base interface for the correlation or variance-covariance matrix algorithm in the distributed processing mode More...

Class Constructor

Parameters
contextContext to manage the correlation or variance-covariance matrix algorithm

Detailed Description

Template Parameters
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 of the correlation or variance-covariance matrix algorithm
  • InputId Identifiers of input objects
  • ResultId Identifiers of the results
References

Member Function Documentation

abstract DistributedIface clone ( DaalContext  context)
abstract

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

Parameters
contextContext to manage the correlation or variance-covariance matrix algorithm
Returns
The newly allocated algorithm
PartialResult compute ( )

Computes partial results of the correlation or variance-covariance matrix algorithm in the distributed processing mode

Returns
Computed partial results of the correlation or variance-covariance matrix algorithm
void dispose ( )

Releases the memory allocated for the native algorithm object

Implements Disposable.

Result finalizeCompute ( )

Computes the results of the correlation or variance-covariance matrix algorithm in the distributed processing mode

Returns
Computed results of the correlation or variance-covariance matrix algorithm
void setPartialResult ( PartialResult  partialResult,
boolean  initializationFlag 
)

Registers user-allocated memory to store partial results of the correlation or variance-covariance matrix algorithm and optionally tells the library to initialize the memory

Parameters
partialResultStructure to store partial results
initializationFlagFlag that specifies whether partial results are initialized
void setPartialResult ( PartialResult  partialResult)

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

Parameters
partialResultStructure to store partial results
void setResult ( Result  result)

Registers user-allocated memory to store the results of the correlation or variance-covariance matrix algorithm in the distributed processing mode

Parameters
resultStructure to store the results

Member Data Documentation

long cDistributedIface

Pointer to the inner implementation of the service callback functionality

Input data

Method method

Computation method for the algorithm

Parameter parameter

Algorithm parameter

PartialResult partialResult
protected

Partial result of the algorithm

Precision prec

Precision of computations


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

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