Developer Guide and Reference

  • 2021.2
  • 03/26/2021
  • Public Content
Contents

Distributions

Random number distribution generators are used to generate random numbers with different types of the discrete and continuous distributions. The numbers are generated by transforming uniformly distributed variates in accordance with the required cumulative distribution function (CDF).
In oneDAL, distribution represents an algorithm interface that runs in-place initialization of memory according to the required CDF.
Algorithm Input
Distribution algorithms accept the input described below. Pass the
Input ID
as a parameter to the methods that provide input for your algorithm. For more details, see Algorithms.
Input ID
Input
tableToFill
Pointer to the numeric table of size LaTex Math image..
This input can be an object of any class derived from
NumericTable
except
CSRNumericTable
,
PackedSymmetricMatrix
,
PackedTriangularMatrix
, and
MergedNumericTable
when it holds one of the above table types.
Algorithm Parameters
Distribution algorithms have the following common parameter:
Parameter
Default Value
Description
engine
SharePtr< engines:: mt19937:: Batch>()
Pointer to the random number engine.
Algorithm Output
Distribution algorithms calculate the result described below. Pass the
Result ID
as a parameter to the methods that access the results of your algorithm. For more details, see Algorithms.
Result ID
Result
randomNumbers
Pointer to the LaTex Math image. numeric table with algorithm results.
In oneDAL, distribution algorithms are in-place, which means that the algorithm does not allocate memory for the distribution result, but returns pointer to the filled input.

Product and Performance Information

1

Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.