Java* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5
Available methods for computing the correlation or variance-covariance matrix. More...
Method | ( | int | value | ) |
Constructs the method object using the provided value
value | Value 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) |
int getValue | ( | ) |
Returns the value corresponding to the method object
Default: performance-oriented method. Works with all types of numeric tables
Default: performance-oriented method. Works with compressed sparse row (CSR) numeric tables
Single-pass: implementation of the single-pass algorithm proposed by D.H.D. West. Works with CSR numeric tables
Single-pass: implementation of the single-pass algorithm proposed by D.H.D. West. Works with all types of numeric tables
Precomputed sum: implementation of the algorithm in the case of a precomputed sum. Works with CSR numeric tables
Precomputed sum: implementation of the moments computation algorithm in the case of a precomputed sum. Works with all types of numeric tables
For more complete information about compiler optimizations, see our Optimization Notice.