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

Static Public Attributes | List of all members
PartialResultId Class Reference

Available identifiers of partial results of the low order moments algorithm. More...

Class Constructor

◆ PartialResultId()

PartialResultId ( int  value)

Constructs the partial result object identifier using the provided value

Parameters
valueValue corresponding to the partial result object identifier

Static Public Attributes

static final PartialResultId nObservations = new PartialResultId(NObservations)
 
static final PartialResultId partialMinimum = new PartialResultId(PartialMinimum)
 
static final PartialResultId partialMaximum = new PartialResultId(PartialMaximum)
 
static final PartialResultId partialSum = new PartialResultId(PartialSum)
 
static final PartialResultId partialSumSquares = new PartialResultId(PartialSumSquares)
 

Detailed Description

Member Function Documentation

◆ getValue()

int getValue ( )

Returns the value corresponding to the partial result object identifier

Returns
Value corresponding to the partial result object identifier

Member Data Documentation

◆ nObservations

final PartialResultId nObservations = new PartialResultId(NObservations)
static

Partial minimum

◆ partialMaximum

final PartialResultId partialMaximum = new PartialResultId(PartialMaximum)
static

Partial sum

◆ partialMinimum

final PartialResultId partialMinimum = new PartialResultId(PartialMinimum)
static

Partial maximum

◆ partialSum

final PartialResultId partialSum = new PartialResultId(PartialSum)
static

Partial sum of squares

◆ partialSumSquares

final PartialResultId partialSumSquares = new PartialResultId(PartialSumSquares)
static

Partial sum of squared difference from the means


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

For more complete information about compiler optimizations, see our Optimization Notice.