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

List of all members

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

Class Constructor

Batch ( DaalContext  context,
Batch  other 
)

Constructs the correlation or variance-covariance matrix algorithm by copying input objects and parameters of another algorithm for correlation or variance-covariance matrix computation

Parameters
contextContext to manage the correlation or variance-covariance matrix algorithm
otherAn algorithm to be used as the source to initialize the input objects and parameters of the algorithm
Batch ( DaalContext  context,
Class<?extends Number >  cls,
Method  method 
)

Constructs the correlation or variance-covariance matrix algorithm

Parameters
contextContext to manage the correlation or variance-covariance matrix algorithm
clsData type to use in intermediate computations for correlation or variance-covariance matrix, Double.class or Float.class
methodCorrelation or variance-covariance matrix computation method, Method

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

Batch clone ( DaalContext  context)

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

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

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