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

List of all members
Batch Class Reference

Computes Min-max normalization in the batch processing mode. More...

Class Constructor

◆ Batch() [1/2]

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

Constructs the Min-max normalization algorithm

Parameters
contextContext to manage the Min-max normalization algorithm
clsData type to use in intermediate computations for Min-max normalization, Double.class or Float.class
methodMin-max normalization computation method, Method

◆ Batch() [2/2]

Batch ( DaalContext  context,
Batch  other 
)

Constructs algorithm that computes normalization by copying input objects and parameters of another algorithm

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

Detailed Description

References

Member Function Documentation

◆ clone()

Batch clone ( DaalContext  context)

Returns the newly allocated algorithm that computes normalization with a copy of input objects and parameters of this algorithm

Parameters
contextContext to manage the normalization algorithms
Returns
The newly allocated algorithm

◆ compute()

Result compute ( )

Computes Min-max normalization

Returns
Min-max normalization results

◆ setResult()

void setResult ( Result  result)

Registers user-allocated memory to store the result of the Min-max normalization algorithm

Parameters
resultStructure to store the result of the Min-max normalization algorithm

Member Data Documentation

◆ input

Input input

Input data

◆ method

Method method

Computation method for the algorithm

◆ parameter

Parameter parameter

Parameters of the algorithm


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

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