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

Static Public Attributes | List of all members
Method Class Reference

Available methods for computing the correlation or variance-covariance matrix. More...

Class Constructor

◆ Method()

Method ( int  value)

Constructs the method object using the provided value

Parameters
valueValue corresponding to the method object

Static Public Attributes

static final Method defaultDense = new Method(DefaultDense)
 
static final Method singlePassDense = new Method(SinglePassDense)
 
static final Method sumDense = new Method(SumDense)
 
static final Method fastCSR = new Method(FastCSR)
 
static final Method singlePassCSR = new Method(SinglePassCSR)
 
static final Method sumCSR = new Method(SumCSR)
 

Detailed Description

Member Function Documentation

◆ getValue()

int getValue ( )

Returns the value corresponding to the method object

Returns
Value corresponding to the method object

Member Data Documentation

◆ defaultDense

final Method defaultDense = new Method(DefaultDense)
static

Default: performance-oriented method. Works with all types of numeric tables

◆ fastCSR

final Method fastCSR = new Method(FastCSR)
static

Default: performance-oriented method. Works with compressed sparse row (CSR) numeric tables

◆ singlePassCSR

final Method singlePassCSR = new Method(SinglePassCSR)
static

Single-pass: implementation of the single-pass algorithm proposed by D.H.D. West. Works with CSR numeric tables

◆ singlePassDense

final Method singlePassDense = new Method(SinglePassDense)
static

Single-pass: implementation of the single-pass algorithm proposed by D.H.D. West. Works with all types of numeric tables

◆ sumCSR

final Method sumCSR = new Method(SumCSR)
static

Precomputed sum: implementation of the algorithm in the case of a precomputed sum. Works with CSR numeric tables

◆ sumDense

final Method sumDense = new Method(SumDense)
static

Precomputed sum: implementation of the moments computation algorithm in the case of a precomputed sum. Works with all types of numeric tables


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

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