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  .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 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. |