Java* API Reference for Intel® Data Analytics Acceleration Library 2018 Update 2

List of all members
BatchImpl Class Referenceabstract

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

Class Constructor

◆ BatchImpl()

BatchImpl ( DaalContext  context)

Constructs the correlation or variance-covariance matrix algorithm in the batch processing mode

Parameters
contextContext to manage the correlation or variance-covariance matrix algorithm in the batch processing mode

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

◆ clone()

abstract BatchImpl clone ( DaalContext  context)
abstract

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

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

◆ compute()

Result compute ( )

Computes the correlation or variance-covariance matrix in the batch processing mode

Returns
Results of the computation

◆ dispose()

void dispose ( )

Releases the memory allocated for the native algorithm object

Implements Disposable.

◆ setResult()

void setResult ( Result  result)

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

Parameters
resultStructure to store results of computing the correlation or variance-covariance matrix

Member Data Documentation

◆ cBatchImpl

long cBatchImpl

Pointer to the inner implementation of the service callback functionality

◆ input

Input input

Input objects for the algorithm

◆ method

Method method

Computation method for the algorithm

◆ parameter

Parameter parameter

Parameters of the algorithm

◆ prec

Precision prec
protected

Precision of computations


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

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