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

List of all members

Computes correlation distance in the batch processing mode. More...

Class Constructor

◆ Batch() [1/2]

Batch ( DaalContext  context,
Batch  other 
)

Constructs the correlation distance algorithm by copying input objects of another correlation distance algorithm

Parameters
contextContext to manage the correlation distance algorithm
otherAn algorithm to be used as the source to initialize the input objects and parameters of the algorithm

◆ Batch() [2/2]

Batch ( DaalContext  context,
Class<? extends Number >  cls,
Method  method 
)

Constructs the correlation distance algorithm

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

Detailed Description

References

Member Function Documentation

◆ clone()

Batch clone ( DaalContext  context)

Returns the newly allocated correlation distance algorithm with a copy of input objects of this correlation distance algorithm

Parameters
contextContext to manage the correlation distance algorithm
Returns
The newly allocated algorithm

◆ compute()

Result compute ( )

Computes the correlation distance

Returns
Results of the algorithm

◆ setResult()

void setResult ( Result  result)

Registers user-allocated memory to store results of the correlation distance algorithm

Parameters
resultObject to store the results

Member Data Documentation

◆ input

Input input

Input data

◆ method

Method method

Computation method for the algorithm


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

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